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Accelerating PROTAC drug discovery: Establishing a relationship between ubiquitination and target protein degradation
Curator: Stephen J. Williams, Ph.D.
PROTACs have been explored in multiple disease fields with focus on only few ligases like cereblon (CRBN), Von Hippel-Lindau (VHL), IAP and MDM2. Cancer targets like androgen receptor, estrogen receptor, BTK, BCL2, CDK8 and c-MET [[6], [7], [8], [9], [10], [11]] have been successfully targeted using PROTACs. A variety of BET family (BRD2, BRD3, and BRD4)- PROTACs were designed using multiple ligases; MDM2-based BRD4 PROTAC [12], CRBN based dBET1 [13] and BETd-24-6 [14] for triple-negative breast cancer, enhanced membrane permeable dBET6 [15], and dBET57 PROTAC [16]. PROTACs for Hepatitis c virus (HCV) protease, IRAK4 and Tau [[17], [18], [19]] have been explored for viral, immune and neurodegenerative diseases, respectively. Currently, the PROTAC field expansion to vast undruggable proteome is hindered due to narrow focus on select E3 ligases. Lack of reliable tools to rapidly evaluate PROTACs based on new ligases is hindering the progress. Screening platforms designed must be physiologically relevant and represent true PROTAC cellular function, i.e., PROTAC-mediated target ubiquitination and degradation.
In the current study, we employ TUBEs as affinity capture reagents to monitor PROTAC-induced poly-ubiquitination and degradation as a measure of potency. We established and validated proof-of-concept cell-based assays in a 96-well format using PROTACS for three therapeutic targets BET family proteins, kinases, and KRAS. To our knowledge, the proposed PROTAC assays are first of its kind that can simultaneously 1) detect ubiquitination of endogenous, native protein targets, 2) evaluate the potency of PROTACs, and 3) establish a link between the UPS and protein degradation. Using these TUBE assays, we established rank order potencies between four BET family PROTACs dBET1, dBET6, BETd246 and dBET57 based on peak ubiquitination signals (“UbMax”) of the target protein. TUBE assay was successful in demonstrating promiscuous kinase PROTACs efficiency to degrade Aurora Kinase A at sub-nanomolar concentrations within 1 h. A comparative study to identify changes in the ubiquitination and degradation profile of KRAS G12C PROTACs recruiting two E3 ligases (CRBN and VHL). All of the ubiquitination and degradation profiles obtained from TUBE based assays correlate well with traditional low throughput immunoblotting. Significant correlation between DC50 obtained from protein degradation in western blotting and UbMax values demonstrates our proposed assays can aid in high-throughput screening and drastically eliminate artifacts to overcome bottlenecks in PROTAC drug discovery.
To successfully set up HTS screening with novel PROTACs without pre-existing knowledge, we recommend the following steps. 1. Identify a model PROTAC that can potentially demonstrate activity based on knowledge in PROTAC design or in vitro binding studies. 2. Perform a time course study with 2–3 doses of the model PROTAC based on affinities of the ligands selected. 3. Monitor ubiquitination and degradation profiles using plate-based assay and identify time point that demonstrates UbMax. 4. Perform a dose response at selected time point with a library of PROTACs to establish rank order potency.
INTRODUCTION
Ubiquitination is a major regulatory mechanism to maintain cellular protein homeostasis by marking proteins for proteasomal-mediated degradation [1]. Given ubiquitin’s role in a variety of pathologies, the idea of targeting the Ubiquitin Proteasome System (UPS) is at the forefront of drug discovery [2]. “Event-driven” protein degradation using the cell’s own UPS is a promising technology for addressing the “undruggable” proteome [3]. Targeted protein degradation (TPD) has emerged as a new paradigm and promising therapeutic option to selectively attack previously intractable drug targets using PROteolytic TArgeting Chimeras (PROTACs) [4]. PROTACs are heterobifunctional molecules with a distinct ligand that targets a specific E3 ligase which is tethered to another ligand specific for the target protein using an optimized chemical linker. A functional PROTAC induces a ternary E3-PROTAC-target complex, resulting in poly-ubiquitination and subsequent controlled protein degradation [5]. Ability to function at sub-stoichiometric levels for efficient degradation, a significant advantage over traditional small molecules.
PROTACs have been explored in multiple disease fields with focus on only few ligases like cereblon (CRBN), Von Hippel-Lindau (VHL), IAP and MDM2. Cancer targets like androgen receptor, estrogen receptor, BTK, BCL2, CDK8 and c-MET [[6], [7], [8], [9], [10], [11]] have been successfully targeted using PROTACs. A variety of BET family (BRD2, BRD3, and BRD4)- PROTACs were designed using multiple ligases; MDM2-based BRD4 PROTAC [12], CRBN based dBET1 [13] and BETd-24-6 [14] for triple-negative breast cancer, enhanced membrane permeable dBET6 [15], and dBET57 PROTAC [16]. PROTACs for Hepatitis c virus (HCV) protease, IRAK4 and Tau [[17], [18], [19]] have been explored for viral, immune and neurodegenerative diseases, respectively. Currently, the PROTAC field expansion to vast undruggable proteome is hindered due to narrow focus on select E3 ligases. Lack of reliable tools to rapidly evaluate PROTACs based on new ligases is hindering the progress. Screening platforms designed must be physiologically relevant and represent true PROTAC cellular function, i.e., PROTAC-mediated target ubiquitination and degradation.
Cellular PROTAC screening is traditionally performed using cell lines harboring reporter genes and/or Western blotting. While Western blotting is easy to perform, they are low throughput, semi-quantitative and lack sensitivity. While reporter gene assays address some of the issues, they are challenged by reporter tags having internal lysines leading to artifacts. Currently, no approaches are available that can identify true PROTAC effects such as target ubiquitination and proteasome-mediated degradation simultaneously. High affinity ubiquitin capture reagents like TUBEs [20] (tandem ubiquitin binding entities), are engineered ubiquitin binding domains (UBDs) that allow for detection of ultralow levels of polyubiquitinated proteins under native conditions with affinities as low as 1 nM. The versatility and selectivity of TUBEs makes them superior to antibodies, and they also offer chain-selectivity (-K48, -K63, or linear) [21]. High throughput assays that can report the efficacy of multiple PROTACs simultaneously by monitoring PROTAC mediated ubiquitination can help establish rank order potency and guide chemists in developing meaningful structure activity relationships (SAR) rapidly.
In the current study, we employ TUBEs as affinity capture reagents to monitor PROTAC-induced poly-ubiquitination and degradation as a measure of potency. We established and validated proof-of-concept cell-based assays in a 96-well format using PROTACS for three therapeutic targets BET family proteins, kinases, and KRAS. To our knowledge, the proposed PROTAC assays are first of its kind that can simultaneously 1) detect ubiquitination of endogenous, native protein targets, 2) evaluate the potency of PROTACs, and 3) establish a link between the UPS and protein degradation. Using these TUBE assays, we established rank order potencies between four BET family PROTACs dBET1, dBET6, BETd246 and dBET57 based on peak ubiquitination signals (“UbMax”) of the target protein. TUBE assay was successful in demonstrating promiscuous kinase PROTACs efficiency to degrade Aurora Kinase A at sub-nanomolar concentrations within 1 h. A comparative study to identify changes in the ubiquitination and degradation profile of KRAS G12C PROTACs recruiting two E3 ligases (CRBN and VHL). All of the ubiquitination and degradation profiles obtained from TUBE based assays correlate well with traditional low throughput immunoblotting. Significant correlation between DC50 obtained from protein degradation in western blotting and UbMax values demonstrates our proposed assays can aid in high-throughput screening and drastically eliminate artifacts to overcome bottlenecks in PROTAC drug discovery.
Fig. 1. Schematic representation of TUBE assay to monitor PROTAC mediated cellular ubiquitination of target proteins.Fig. 2. TUBE based assay screening of PROTACs: Jurkat cell lysates were treated with BRD3-specific PROTACs A) dBET1, B) dBET6, C) BETd24-6, and D) dBET57. Polyubiquitination profiles and Ubmax of BRD3 for each PROTAC were represented as relative CL intensity. Relative CL intensities were calculated by dividing raw CL signals from a given PROTAC dose over DMSO treated samples. Error bars represent standard deviations, n = 3.Fig. 3. PROTAC mediated degradation of bromodomain proteins analyzed by anti-BRD3 western blotting. Dose response of PROTACs dBET1, dBET6, Betd-24-6 and dBET57 at 45 min in Jurkat cells demonstrates degradation of BRD3, Acting as loading control.
Fig. 4. PROTAC mediated ubiquitination and degradation of AURKA in K562 cells. (A) Time course study to evaluate intracellular ubiquitination and degradation. (B) Western blot analysis of time course study: degradation kinetics (C) A dose response study to evaluate DC50 of the promiscuous kinase PROTAC in K562 cells. (D) Western blot analysis of dose response study to monitor degradation, GAPDH as loading control. Error bars represent standard deviation, n = 3.
The Vibrant Philly Biotech Scene: Proteovant Therapeutics Using Artificial Intelligence and Machine Learning to Develop PROTACs
Reporter:Stephen J. Williams, Ph.D.
It has been a while since I have added to this series but there have been a plethora of exciting biotech startups in the Philadelphia area, and many new startups combining technology, biotech, and machine learning. One such exciting biotech is Proteovant Therapeutics, which is combining the new PROTAC (Proteolysis-Targeting Chimera) technology with their in house ability to utilize machine learning and artificial intelligence to design these types of compounds to multiple intracellular targets.
PROTACs (which actually is under a trademark name of Arvinus Operations, but is also refered to as Protein Degraders. These PROTACs take advantage of the cell protein homeostatic mechanism of ubiquitin-mediated protein degradation, which is a very specific targeted process which regulates protein levels of various transcription factors, protooncogenes, and receptors. In essence this regulated proteolyic process is needed for normal cellular function, and alterations in this process may lead to oncogenesis, or a proteotoxic crisis leading to mitophagy, autophagy and cellular death. The key to this technology is using chemical linkers to associate an E3 ligase with a protein target of interest. E3 ligases are the rate limiting step in marking the proteins bound for degradation by the proteosome with ubiquitin chains.
A review of this process as well as PROTACs can be found elsewhere in articles (and future articles) on this Open Access Journal.
Protevant have made two important collaborations:
Oncopia Therapeutics: came out of University of Michigan Innovation Hub and lab of Shaomeng Wang, who developed a library of BET and MDM2 based protein degraders. In 2020 was aquired by Riovant Sciences.
Riovant Sciences: uses computer aided design of protein degraders
Proteovant Company Description:
Proteovant is a newly launched development-stage biotech company focusing on discovery and development of disease-modifying therapies by harnessing natural protein homeostasis processes. We have recently acquired numerous assets at discovery and development stages from Oncopia, a protein degradation company. Our lead program is on track to enter IND in 2021. Proteovant is building a strong drug discovery engine by combining deep drugging expertise with innovative platforms including Roivant’s AI capabilities to accelerate discovery and development of protein degraders to address unmet needs across all therapeutic areas. The company has recently secured $200M funding from SK Holdings in addition to investment from Roivant Sciences. Our current therapeutic focus includes but is not limited to oncology, immunology and neurology. We remain agnostic to therapeutic area and will expand therapeutic focus based on opportunity. Proteovant is expanding its discovery and development teams and has multiple positions in biology, chemistry, biochemistry, DMPK, bioinformatics and CMC at many levels. Our R&D organization is located close to major pharmaceutical companies in Eastern Pennsylvania with a second site close to biotech companies in Boston area.
The ubiquitin proteasome system (UPS) is responsible for maintaining protein homeostasis. Targeted protein degradation by the UPS is a cellular process that involves marking proteins and guiding them to the proteasome for destruction. We leverage this physiological cellular machinery to target and destroy disease-causing proteins.
Unlike traditional small molecule inhibitors, our approach is not limited by the classic “active site” requirements. For example, we can target transcription factors and scaffold proteins that lack a catalytic pocket. These classes of proteins, historically, have been very difficult to drug. Further, we selectively degrade target proteins, rather than isozymes or paralogous proteins with high homology. Because of the catalytic nature of the interactions, it is possible to achieve efficacy at lower doses with prolonged duration while decreasing dose-limiting toxicities.
Biological targets once deemed “undruggable” are now within reach.
Roivant develops transformative medicines faster by building technologies and developing talent in creative ways, leveraging the Roivant platform to launch “Vants” – nimble and focused biopharmaceutical and health technology companies. These Vants include Proteovant but also Dermovant, ImmunoVant,as well as others.
Roivant’s drug discovery capabilities include the leading computational physics-based platform for in silico drug design and optimization as well as machine learning-based models for protein degradation.
The integration of our computational and experimental engines enables the rapid design of molecules with high precision and fidelity to address challenging targets for diseases with high unmet need.
Our current modalities include small molecules, heterobifunctionals and molecular glues.
Roivant Unveils Targeted Protein Degradation Platform
– First therapeutic candidate on track to enter clinical studies in 2021
– Computationally-designed degraders for six targets currently in preclinical development
– Acquisition of Oncopia Therapeutics and research collaboration with lab of Dr. Shaomeng Wang at the University of Michigan to add diverse pipeline of current and future compounds
– Clinical-stage degraders will provide foundation for multiple new Vants in distinct disease areas
– Platform supported by $200 million strategic investment from SK Holdings
Other articles in this Vibrant Philly Biotech Scene on this Online Open Access Journal include:
Thriving Vaccines and Research: Weizmann Institute Coronavirus Research Development
Reporter:Amandeep Kaur, B.Sc., M.Sc.
In early February, Prof. Eran Segal updated in one of his tweets and mentioned that “We say with caution, the magic has started.”
The article reported that this statement by Prof. Segal was due to decreasing cases of COVID-19, severe infection cases and hospitalization of patients by rapid vaccination process throughout Israel. Prof. Segal emphasizes in another tweet to remain cautious over the country and informed that there is a long way to cover and searching for scientific solutions.
A daylong webinar entitled “COVID-19: The epidemic that rattles the world” was a great initiative by Weizmann Institute to share their scientific knowledge about the infection among the Israeli institutions and scientists. Prof. Gideon Schreiber and Dr. Ron Diskin organized the event with the support of the Weizmann Coronavirus Response Fund and Israel Society for Biochemistry and Molecular Biology. The speakers were invited from the Hebrew University of Jerusalem, Tel-Aviv University, the Israel Institute for Biological Research (IIBR), and Kaplan Medical Center who addressed the molecular structure and infection biology of the virus, treatments and medications for COVID-19, and the positive and negative effect of the pandemic.
The article reported that with the emergence of pandemic, the scientists at Weizmann started more than 60 projects to explore the virus from different range of perspectives. With the help of funds raised by communities worldwide for the Weizmann Coronavirus Response Fund supported scientists and investigators to elucidate the chemistry, physics and biology behind SARS-CoV-2 infection.
Prof. Avi Levy, the coordinator of the Weizmann Institute’s coronavirus research efforts, mentioned “The vaccines are here, and they will drastically reduce infection rates. But the coronavirus can mutate, and there are many similar infectious diseases out there to be dealt with. All of this research is critical to understanding all sorts of viruses and to preempting any future pandemics.”
The following are few important projects with recent updates reported in the article.
Mapping a hijacker’s methods
Dr. Noam Stern-Ginossar studied the virus invading strategies into the healthy cells and hijack the cell’s systems to divide and reproduce. The article reported that viruses take over the genetic translation system and mainly the ribosomes to produce viral proteins. Dr. Noam used a novel approach known as ‘ribosome profiling’ as her research objective and create a map to locate the translational events taking place inside the viral genome, which further maps the full repertoire of viral proteins produced inside the host.
She and her team members grouped together with the Weizmann’s de Botton Institute and researchers at IIBR for Protein Profiling and understanding the hijacking instructions of coronavirus and developing tools for treatment and therapies. Scientists generated a high-resolution map of the coding regions in the SARS-CoV-2 genome using ribosome-profiling techniques, which allowed researchers to quantify the expression of vital zones along the virus genome that regulates the translation of viral proteins. The study published in Nature in January, explains the hijacking process and reported that virus produces more instruction in the form of viral mRNA than the host and thus dominates the translation process of the host cell. Researchers also clarified that it is the misconception that virus forced the host cell to translate its viral mRNA more efficiently than the host’s own translation, rather high level of viral translation instructions causes hijacking. This study provides valuable insights for the development of effective vaccines and drugs against the COVID-19 infection.
Like chutzpah, some things don’t translate
Prof. Igor Ulitsky and his team worked on untranslated region of viral genome. The article reported that “Not all the parts of viral transcript is translated into protein- rather play some important role in protein production and infection which is unknown.” This region may affect the molecular environment of the translated zones. The Ulitsky group researched to characterize that how the genetic sequence of regions that do not translate into proteins directly or indirectly affect the stability and efficiency of the translating sequences.
Initially, scientists created the library of about 6,000 regions of untranslated sequences to further study their functions. In collaboration with Dr. Noam Stern-Ginossar’s lab, the researchers of Ulitsky’s team worked on Nsp1 protein and focused on the mechanism that how such regions affect the Nsp1 protein production which in turn enhances the virulence. The researchers generated a new alternative and more authentic protocol after solving some technical difficulties which included infecting cells with variants from initial library. Within few months, the researchers are expecting to obtain a more detailed map of how the stability of Nsp1 protein production is getting affected by specific sequences of the untranslated regions.
The landscape of elimination
The article reported that the body’s immune system consists of two main factors- HLA (Human Leukocyte antigen) molecules and T cells for identifying and fighting infections. HLA molecules are protein molecules present on the cell surface and bring fragments of peptide to the surface from inside the infected cell. These peptide fragments are recognized and destroyed by the T cells of the immune system. Samuels’ group tried to find out the answer to the question that how does the body’s surveillance system recognizes the appropriate peptide derived from virus and destroy it. They isolated and analyzed the ‘HLA peptidome’- the complete set of peptides bound to the HLA proteins from inside the SARS-CoV-2 infected cells.
After the analysis of infected cells, they found 26 class-I and 36 class-II HLA peptides, which are present in 99% of the population around the world. Two peptides from HLA class-I were commonly present on the cell surface and two other peptides were derived from coronavirus rare proteins- which mean that these specific coronavirus peptides were marked for easy detection. Among the identified peptides, two peptides were novel discoveries and seven others were shown to induce an immune response earlier. These results from the study will help to develop new vaccines against new coronavirus mutation variants.
Gearing up ‘chain terminators’ to battle the coronavirus
Prof. Rotem Sorek and his lab discovered a family of enzymes within bacteria that produce novel antiviral molecules. These small molecules manufactured by bacteria act as ‘chain terminators’ to fight against the virus invading the bacteria. The study published in Nature in January which reported that these molecules cause a chemical reaction that halts the virus’s replication ability. These new molecules are modified derivates of nucleotide which integrates at the molecular level in the virus and obstruct the works.
Prof. Sorek and his group hypothesize that these new particles could serve as a potential antiviral drug based on the mechanism of chain termination utilized in antiviral drugs used recently in the clinical treatments. Yeda Research and Development has certified these small novel molecules to a company for testing its antiviral mechanism against SARS-CoV-2 infection. Such novel discoveries provide evidences that bacterial immune system is a potential repository of many natural antiviral particles.
Resolving borderline diagnoses
Currently, Real-time Polymerase chain reaction (RT-PCR) is the only choice and extensively used for diagnosis of COVID-19 patients around the globe. Beside its benefits, there are problems associated with RT-PCR, false negative and false positive results and its limitation in detecting new mutations in the virus and emerging variants in the population worldwide. Prof. Eran Elinavs’ lab and Prof. Ido Amits’ lab are working collaboratively to develop a massively parallel, next-generation sequencing technique that tests more effectively and precisely as compared to RT-PCR. This technique can characterize the emerging mutations in SARS-CoV-2, co-occurring viral, bacterial and fungal infections and response patterns in human.
The scientists identified viral variants and distinctive host signatures that help to differentiate infected individuals from non-infected individuals and patients with mild symptoms and severe symptoms.
In Hadassah-Hebrew University Medical Center, Profs. Elinav and Amit are performing trails of the pipeline to test the accuracy in borderline cases, where RT-PCR shows ambiguous or incorrect results. For proper diagnosis and patient stratification, researchers calibrated their severity-prediction matrix. Collectively, scientists are putting efforts to develop a reliable system that resolves borderline cases of RT-PCR and identify new virus variants with known and new mutations, and uses data from human host to classify patients who are needed of close observation and extensive treatment from those who have mild complications and can be managed conservatively.
Moon shot consortium refining drug options
The ‘Moon shot’ consortium was launched almost a year ago with an initiative to develop a novel antiviral drug against SARS-CoV-2 and was led by Dr. Nir London of the Department of Chemical and Structural Biology at Weizmann, Prof. Frank von Delft of Oxford University and the UK’s Diamond Light Source synchroton facility.
To advance the series of novel molecules from conception to evidence of antiviral activity, the scientists have gathered support, guidance, expertise and resources from researchers around the world within a year. The article reported that researchers have built an alternative template for drug-discovery, full transparency process, which avoids the hindrance of intellectual property and red tape.
The new molecules discovered by scientists inhibit a protease, a SARS-CoV-2 protein playing important role in virus replication. The team collaborated with the Israel Institute of Biological Research and other several labs across the globe to demonstrate the efficacy of molecules not only in-vitro as well as in analysis against live virus.
Further research is performed including assaying of safety and efficacy of these potential drugs in living models. The first trial on mice has been started in March. Beside this, additional drugs are optimized and nominated for preclinical testing as candidate drug.
June 22-24: Free Registration for AACR Members, the Cancer Community, and the Public
This virtual meeting will feature more than 120 sessions and 4,000 e-posters, including sessions on cancer health disparities and the impact of COVID-19 on clinical trials
This Virtual Meeting is Part II of the AACR Annual Meeting. Part I was held online in April and was centered only on clinical findings. This Part II of the virtual meeting will contain all the Sessions and Abstracts pertaining to basic and translational cancer research as well as clinical trial findings.
Chemicals known to cause cancer are used and released to the environment in large volumes, exposing people where they live, work, play, and go to school. The science establishing an important role for such exposures in the development of cancers continues to strengthen, yet cancer prevention researchers are largely unfamiliar with the data drawn upon in identifying carcinogens and making decisions about their use. Characterizing and reducing harmful exposures and accelerating the devel
Julia Brody, Kathryn Z. Guyton, Polly J. Hoppin, Bill Walsh, Mary H. Ward
During carcinoma progression, initially benign epithelial cells acquire the ability to invade locally and disseminate to distant tissues by activating epithelial-mesenchymal transition (EMT). EMT is a cellular process during which epithelial cells lose their epithelial features and acquire mesenchymal phenotypes and behavior. Growing evidence supports the notion that EMT programs during tumor progression are usually activated to various extents and often partial and reversible, thus pr
Jean-Paul Thiery, Heide L Ford, Jing Yang, Geert Berx
Cellular senescence is a stable cell growth arrest that is broadly recognized to act as a barrier against tumorigenesis. Senescent cells acquire a senescence-associated secretory phenotype (SASP), a transcriptional response involving the secretion of inflammatory cytokines, immune modulators, and proteases that can shape the tumor microenvironment. The SASP can initially stimulate tumor immune surveillance and reinforce growth arrest. However, if senescent cells are not removed by the
The focus of this educational session will be on recent developments in cell-free DNA (cfDNA) analysis that have the potential to impact the care of cancer patients. Tumors continually shed DNA into the circulation, where it can be detected as circulating tumor DNA (ctDNA). Analysis of ctDNA has become a routine part of care for a subset of patients with advanced malignancies. However, there are a number of exciting potential applications that have promising preliminary data but that h
Michael R Speicher, Maximilian Diehn, Aparna Parikh
This session will describe how advances in understanding cancer genomes and in genetic testing technologies are being translated to the clinic. The speakers will illustrate the clinical impact of genomic discoveries for diagnostics and treatment of common tumor types in adults and in children. Cutting-edge technologies for characterization of patient and tumor genomes will be described. New insights into the importance of patient factors for cancer risk and outcome, including predispos
Heather L. Hampel, Gordana Raca, Jaclyn Biegel, Jeffrey M Trent
The U.S. Food and Drug Administration relies on data from clinical trials to determine whether medical products are safe and effective. Ideally, patients enrolled in those trials are representative of the population in which the product will be used if approved, including people of different ages, races, ethnic groups, and genders. Unfortunately, with few patients enrolling in clinical trials, many groups are not well-represented in clinical trials. This session will explore challenges
Ajay K. Nooka, Nicole J. Gormley, Kenneth C Anderson, Ruben A. Mesa, Daniel J. George, Yelak Biru, RADM Richardae Araojo, Lola A. Fashoyin-Aje
This educational session will cover the exciting emerging field of targeted protein degradation. Key learning topics will include: 1. an introduction to the technology and its relevance to oncology; 2. PROTACS, degraders, and CELMoDs; 3. enzymology and protein-protein interactions in targeted protein degraders; 4. examples of differentiated biology due to degradation vs. inhibition; 5. how to address questions of specificity; and 6. how the field is approaching challenges in optimizing therapies
George Burslem, Mary Matyskiela, Lyn H. Jones, Stewart L Fisher, Andrew J Phillips
Bioinformatics and Systems Biology, Experimental and Molecular Therapeutics, Drug Development, Molecular and Cellular Biology/Genetics
Obstacles and opportunities for protein degradation drug discovery
Lyn H. Jones
PROTACs ubiquitin mediated by E3 ligases; first discovered by DeShaies and targeted to specific proteins
PROTACs used in drug discovery against a host of types of targets including kinases and membrane receptors
PROTACs can be modular but lack molecular structural activity relationships
can use chemical probes for target validation
four requirements: candidate exposure at site of action (for example lipophilicity for candidates needed to cross membranes and accumulate in lysosomes), target engagement (ternary occupancy as measured by FRET), functional pharmacology, relevant phenotype
PROTACs hijack the proteosomal degradation system
Proteolysis-targeting chimeras as therapeutics and tools for biological discovery
George Burslem
first PROTAC developed to coopt the VHL ubiquitin ligase system which degrades HIF1alpha but now modified for EREalpha
in screen for potential PROTACS there were compounds which bound high affinity but no degradation so phenotypic screening very important
when look at molecular dynamics can see where PROTAC can add additional protein protein interaction, verifed by site directed mutagenesis
able to target bcr-Abl
he says this is a rapidly expanding field because of all the new E3 ligase targets being discovered
Expanding the horizons of cereblon modulators
Mary Matyskiela
Translating cellular targeted protein degradation to in vivo models using an enzymology framework
Stewart L Fisher
new targeting compounds have an E3 ligase binding domain, a target binding domain and a linker domain
in vivo these compounds are very effective; BRD4 degraders good invitro and in vivo with little effect on body weight
degraders are essential activators of E3 ligases as these degraders bring targets in close proximity so activates a catalytic cycle of a multistep process (has now high turnover number)
in enzymatic pathway the degraders make a productive complex so instead of a kcat think of measuring a kprod or productivity of degraders linked up an E3 ligase
the degraders are also affecting the rebound protein synthesis; so Emax never to zero and see a small rebound of protein synthesis
Drug combinations remain the gold standard for treating cancer, as they significantly outperform single agents. However, due to the enormous size of drug combination space, it is virtually impossible to interrogate all possible combinations. This session will discuss approaches to identify novel combinations using both experimental and computational approaches. Speakers will discuss i) approaches to drug screening in cell lines, the impact of the microenvironment, and attempts to more
Bence Szalai, James E Korkola, Lisa Tucker-Kellogg, Jeffrey W Tyner
Cancer stem cells are a subpopulation of cells with a high capacity for self-renewal, differentiation and resistance to therapy. In this session, we will define cancer stem cells, discuss cellular plasticity, interactions between cancer stem cells and the tumor microenvironment, and mechanisms that contribute to therapeutic resistance.
Robert S Kerbel, Dolores Hambardzumyan, Jennifer S. Yu
This session will cover the fundamentals as well as the major advances made in the field of molecular imaging. Topics covered will include the basics for optical, nuclear, and ultrasound imaging; the pros and cons of each modality; and the recent translational advancements. Learning objectives include the fundamentals of each imaging modality, recent advances in the technology, the processes involved to translate an imaging agent from bench to bedside, and how molecular imaging can gui
Julie Sutcliffe, Summer L Gibbs, Mark D Pagel, Katherine W Ferrara
Tumor-associated endothelium is a gatekeeper that coordinates the entry and egress of innate and adaptive immune cells within the tumor microenvironment. This is achieved, in part, via the coordinated expression of chemokines and cell adhesion molecules on the endothelial cell surface that attract and retain circulating leukocytes. Crosstalk between adaptive immune cells and the tumor endothelium is therefore essential for tumor immune surveillance and the success of immune-based thera
Dai Fukumura, Maria M Steele, Wen Jiang, Andrew C Dudley
T-cell immunotherapy in the form of immune checkpoint blockade or cellular T-cell therapies has been tremendously successful in some types of cancer. This success has opened the door to consider what other modalities or types of immune cells can be harnessed for exert antitumor functions. In this session, experts in their respective fields will discuss topics including novel approaches in immunotherapy, including NK cells, macrophage, and viral oncotherapies.
Evanthia Galanis, Kerry S Campbell, Milan G Chheda, Jennifer L Guerriero
Carcinomas develop metastases and resistance to therapy as a result of interaction with tumor microenvironment, composed of various nonmalignant cell types. Understanding the complexity and origins of tumor stromal cells is a prerequisite for development of effective treatments. The link between obesity and cancer progression has revealed the engagement of adipose stromal cells (ASC) and adipocytes from adjacent fat tissue. However, the molecular mechanisms through which they stimulate
Guojun Wu, Matteo Ligorio, Mikhail Kolonin, Maria T Diaz-Meco
The term “cancer” encompasses hundreds of distinct disease entities involving almost every possible site in the human body. Effectively interrogating cancer, either in animals models or human specimens, requires a deep understanding of the involved organ. This includes both the normal cellular constituents of the affected tissue as well as unique aspects of tissue-specific tumorigenesis. It is critical to “Know Thy Organ” when studying cancer. This session will focus on two of the most
Trudy G Oliver, Hossein Borghaei, Laura Delong Wood, Howard C Crawford
Good clinical trial design has always had to balance the competing interests of effectively and convincingly answering the question with the limitations imposed by scarce resources, complex logistics, and risks and potential benefits to participants. New targeted therapies, immuno-oncology, and novel combination treatments add new challenges on top of the old ones. This session will introduce these concerns and 1) suggest ways to consider what outcomes are relevant, 2) how we can best
Mary W. Redman, Nolan A. Wages, Susan G Hilsenbeck, Karyn A. Goodman
The sequencing of human cancers now provides a landscape of the genetic alterations that occur in human cancer, and increasingly knowledge of somatic genetic alterations is becoming part of the evaluation of cancer patients. In some cases, this information leads directly to the selection of particular therapeutic approaches; however, we still lack the ability to decipher the significance of genetic alterations in many cancers. This session will focus on recent developments that permit the identification of molecular targets in specific cancers. This information, coupled with genomic characterization of cancer, will facilitate the development of new therapeutic agents and provide a path to implement precision cancer medicine to all patients.
William C Hahn, Mark A Dawson, Mariella Filbin, Michael Bassik
Genome-scale CRISPR screens in 3D spheroids identify cancer vulnerabilities
Michael Bassik
Utilizing single-cell RNAseq and CRISPR screens to target cancer stem cells in pediatric brain tumors
Mariella Filbin
many gliomas are defined by discreet mutational spectra that also discriminates based on age and site as well (for example many cortical tumors have mainly V600E Braf mutations while thalamus will be FGFR1
they did single cell RNAseq on needle biopsy from 7 gliomas which gave about 3500 high quality single cells; obtained full length RNA
tumors clustered mainly where the patient it came from but had stromal cell contamination probably so did a deconvolution? Copy number variation showed which were tumor cells and did principle component analysis
it seems they used a human glioma model as training set
identified a stem cell like glioma cell so concentrated on the genes altered in these for translational studies
developed multiple PDX models from patients
PDX transcriptome closest to patient transcriptome but organoid grown in serum free very close while organoids grown in serum very distinct transcriptome
developed a CRISPR barcoded library to determine genes for survival genes
pulled out BMI1 and EZH2 (polycomb complex proteins) as good targets
Virtual Methods Workshop
Prevention Research, Survivorship, Clinical Research Excluding Trials, Epidemiology
Through this Education Session we will use examples from ongoing research to provide an overview of implementation science approaches to cancer prevention and control research. We draw on examples to highlight study design approaches, research methods, and real-world solutions when applying implementation science to achieve health equity. Approaches to defining change in the care setting and measuring sustained changes are also emphasized. Using real examples of patient navigation prog
Graham A Colditz, Sanja Percac-Lima, Nathalie Huguet
This session will consider the use of real-world evidence in the context of oncology clinical trials affected by the COVID-19 pandemic. Key aspects of the FDA’s recent “Guidance on Conduct of Clinical Trials of Medical Products of Medical Products during COVID-19 Public Health Emergency” will be discussed, including telemedicine, accounting for missing data, obtaining laboratory tests and images locally, using remote informed consent procedures, and additional considerations for contin
Wendy Rubinstein, Paul G. Kluetz, Amy P. Abernethy, Jonathan Hirsch, C.K. Wang
This structure (bottom left) of the malaria parasite’s proteasome, obtained using the revolutionary Cryo-Electron Microscopy technique, enabled the design of a specific inhibitor (front) against the mosquito-borne malaria parasite (pictured at back). [University of Melbourne]
With media attention recently focused on the spread of the Zika virus, it’s easy to forget about the mosquito-borne disease that has been credited with killing one out of every two people who have ever lived—malaria. Currently, close to 50 percent of the world’s population live in malaria-endemic areas, leading to between 200–500 million new cases and close to 500,000 deaths annually (mostly children under the age of five).
Adding to the complexities of trying to control this disease is that resistance to the most effective antimalarial drug, artemisinin, has developed in Southeast Asia, with fears it will soon reach Africa. Artemisinin-resistant species have spread to six countries in five years.
A collaborative team of scientists from Stanford University, University of California, San Francisco, University of Melbourne, and the MRC in Cambridge have used cutting-edge technology to design a smarter drug to combat the resistant strain.
“Artemisinin causes damage to the proteins in the malaria parasite that kill the human cell, but the parasite has developed a way to deal with that damage. So new drugs that work against resistant parasites are desperately needed,” explained coauthor Leann Tilley, Ph.D., professor and deputy head of biochemistry and molecular biology in the Bio21 Molecular Science and Biotechnology Institute at The University of Melbourne.
Malaria is caused by the protozoan parasite from the genus Plasmodium. Five different species are known to cause malaria in humans, with P. falciparum infection leading to the most deaths. The parasite is transmitted through the bite of the female mosquito and ultimately ends up residing within the host’s red blood cells (RBCs)—replicating and then bursting forth to invade more RBCs in a recurrently timed cycle.
“This penetration/replication/breakout cycle is rapid—every 48 hours—providing the opportunity for large numbers of mutations that can produce drug resistance,” said senior study author Matthew Bogyo, Ph.D., professor in the department of pathology at Stanford Medical School. “Consequently, several generations of antimalarial drugs have long since been rendered useless.”
The compound that investigators developed targets the parasites proteasome—a protein degradation pathway that removes surplus or damaged proteins through a cascade of proteolytic reactions.
“The parasite’s proteasome is like a shredder that chews up damaged or used-up proteins. Malaria parasites generate a lot of damaged proteins as they switch from one life stage to another and are very reliant on their proteasome, making it an excellent drug target,” Dr. Tilley noted.
The scientists purified the proteasome from the malaria parasite and examined its activity against hundreds of different peptide sequences. From this, they were able to design inhibitors that selectively targeted the parasite proteasome while sparing the human host enzymes.
The findings from this study were published recently in Nature through an article titled “Structure- and function-based design of Plasmodium-selective proteasome inhibitors.”
Additionally, scientists at the MRC used a new technique called Single-Particle Cryo-Electron Microscopy to generate a three-dimensional, high-resolution structure of a protein, based on thousands composite images.
The researchers tested the new drug in red blood cells infected with parasites and found that it was as effective at killing the artemisinin resistant parasites as it was for the sensitive parasites.
“The compounds we’ve derived can kill artemisinin-resistant parasites because those parasites have an increased need for highly efficient proteasomes,” Dr. Bogyo commented. “So, combining the proteasome inhibitor with artemisinin should make it possible to block the onset of resistance. That will, in turn, allow the continued use of that front-line malaria treatment, which has been so effective up until now.”
“The new proteasome inhibitors actually complement artemisinin drugs,” Dr. Tilley added. “Artemisinins cause protein damage and proteasome inhibitors prevent the repair of protein damage. A combination of the two provides a double whammy and could rescue the artemisinins as antimalarials, restoring their activity against resistant parasites.”
The scientists were excited by their results, as they may provide a much-needed strategy to combat the growing levels of resistance for this deadly pathogen. However, the researchers tempered their exuberance by noting that many more drug libraries needed to be screened before clinical trials can begin.
“The current drug is a good start, but it’s not yet suitable for humans. It needs to be able to be administered orally and needs to last a long time in the blood stream,” Dr. Tilley concluded.
Agilent was created as a spin off from Hewlett-Packard Company in 1999.
Agilent Technologies Inc. is engaged in the life sciences, diagnostics and applied chemical markets. The Company provides application focused solutions that include instruments, software, services and consumables for the entire laboratory workflow. The Company has three business segments:
the life sciences and applied markets business,
the diagnostics and genomics business, and
the Agilent Cross Lab business
The Company’s life sciences and applied markets business segment brings together the Company’s analytical laboratory instrumentation and informatics.
The Company’s diagnostics and genomics business segment consists of three businesses: the Dako business, the genomics business and the nucleic acid solutions business.
The Company’s Agilent Cross Lab business segment combines its analytical laboratory services and consumables business
CARPINTERIA, Calif.–(BUSINESS WIRE)–Dako, an Agilent Technologies company and a worldwide provider of cancer diagnostics, today announced the U.S. Food and Drug Administration has approved a new test that can identify PD-L1 expression levels on the surface of non-small cell lung cancer tumor cells and provide information on the survival benefit with OPDIVO® (nivolumab) for patients with non-squamous NSCLC.
Argentina | Australia | Austria | Brazil | Canada |Chile | China | Colombia | Czech Republic | Denmark | Ecuador | Finland | Germany |Hong Kong | Israel | Italy | Japan | Korea | Malaysia | Mexico | New Zealand | Norway | Paraguay | Peru| Philippines | Poland | Romania | Singapore | South Africa | Spain | Sweden |Switzerland | Taiwan ROC | Thailand | Turkey | United Kingdom | Uruguay | Vietnam
Gen9 is building on advances in synthetic biology to power a scalable fabrication capability that will significantly increase the world’s capacity to produce DNA content. The privately held company’s next-generation gene synthesis technology allows for the high-throughput, automated production of DNA constructs at lower cost and higher accuracy than previous methods on the market. Founded by world leaders in synthetic biology, Gen9 aims to ensure the constructive application of synthetic biology in industries ranging from enzyme and chemical production to pharmaceuticals and biofuels.
SERVICES
Synthetic Biology
Gene Synthesis Services
Variant Libraries
Gene Sequence Design Services
INVESTORS
Agilent Technologies : Private Equity
CAMBRIDGE, Mass. and SANTA CLARA, Calif. — April 24, 2013 —Gen9 Receives $21 Million Strategic Investment from Agilent Technologies
GenScript is the largest gene synthesis provider in the USA
GenScript Corporation, a biology contract research organization, provides biological research and drug discovery services to pharmaceutical companies, biotech firms, and research institutions in the United States, Europe, and Japan. It offers bio-reagent, custom molecular biology, custom peptide, protein production, custom antibody production, drug candidates testing, assay development and screening, lead optimization, antibody drug development, gene synthesis, and assay-ready cell line production services.
The company also offers molecular biology, peptide, protein, immunoassay, chemicals, and cell biology products. It offers its products through distributors in Tokyo, Japan; and Seoul, Korea. GenScript Corporation has a strategic partnership with Immunologix, Inc. The company was founded in 2002 and is based in Piscataway, New Jersey. It has subsidiaries in France, Japan, and China.
Note: As of October 24, 2011, Immunologix, Inc. was acquired by Intrexon Corporation. Immunologix, Inc. develops and produces antibody-based therapeutics for various biological targets. It produces human monoclonal antibodies against viral, bacterial, and tumor antigens, as well as human auto antigens.
Intrexon Corporation, founded in 1998, is a leader in synthetic biology focused on collaborating with companies in Health, Food, Energy, Environment and Consumer sectors to create biologically based products that improve quality of life and the health of the planet.
PRODUCTS AND SERVICES
Gene synthesis
Antibody services
Protein Services
Peptide services
INVESTORS
Note: The Balloch Group (‘TBG’) was established in 2001 by Howard Balloch (Canada‘s ambassador to China from 1996 to 2001). TBG has since grown from a market-entry consultancy working with North American clients in China to a leading advisory and merchant banking firm serving both domestic Chinese companies and multinational corporations. TBG was ranked as the number one boutique investment bank in China by ChinaVenture in 2008.
Monica Heger : SAN FRANCISCO (GenomeWeb) – Illumina today announced two new next-generation sequencing platforms, a targeted sequencing system called MiniSeq and a semiconductor sequencer that is still under development.
Illumina disclosed the initiatives during a presentation at the JP Morgan Healthcare conference held here today. During the presentation, Illumina CEO Jay Flatley also announced a new genotyping array called Infinium XT; a partnership with Bio-Rad to develop a single-cell sequencing workflow; preliminary estimates of its fourth-quarter 2015 revenues; and an update on existing products. The presentation followed the company’s announcement on Sunday that it has launched a new company called Grail to develop a next-generation sequencing test for early cancer detection from patient blood samples.
The MiniSeq system, which is based on Illumina’s current sequencing technology, will begin shipping early this quarter and has a list price of $49,500. It can perform a variety of targeted DNA and RNA applications, from single-gene to pathway sequencing, and promises “all-in” prices, including library prep and sequencing, of $200 to $300 per sample, Flatley said during the JP Morgan presentation.
Integrated DNA Technologies, Inc. (IDT), the global leader in nucleic acid synthesis, serving all areas of life sciences research and development, offers products for a broad range of genomics applications. IDT’s primary business is the production of custom, synthetic nucleic acids for molecular biology applications, including qPCR, sequencing, synthetic biology, and functional genomics. The company manufactures and ships an average of 44,000 custom nucleic acids per day to more than 82,000 customers worldwide. For more information, visit idtdna.com.
Dyes GMP for Molecular Diagnostics Large Scale Oligo Synthesis
Note : Skokie, IL – December 1, 2015. Integrated DNA Technologies Inc. (“IDT”), the global leader in custom nucleic acid synthesis, has entered into a definitive agreement to acquire the oligonucleotide synthesis business of AITbiotech Pte. Ltd. in Singapore (“AITbiotech”). With this acquisition, IDT expands its customer base across Southeast Asia making it possible for these additional customers to now have access to its broad range of products for genomic applications. AITbiotech will continue operations in its other core business areas.
With over 20 years of experience in oligonucleotide development and production, and over 1000 sequences manufactured, Avecia has played an integral role in the advancing oligo therapeutic market. Our mission is to continue to build value for our customers, as they progress through drug development into commercialization. And as a member of the Nitto Denko Corporation (nitto.com), Avecia is committed to the future of the oligonucleotide market. We are driven by innovative ideas and flexible solutions, designed to provide our customers with the best in service, quality, and technology.
OriGene Technologies, Inc. develops, manufactures, and sells genome wide research and diagnostic products for pharmaceutical, biotechnology, and academic research applications. The company offers cDNA clones, including TrueORF cDNA, viral ORF, destination vectors, TrueClones (human), TrueClones (mouse), organelle marker plasmids, MicroRNA tools, mutant and variant clones, plasmid purification kits, transfection reagents, and gene synthesis service; and HuSH shRNA, siRNA, miRNA, qPCR reagents, plasmid purification products, transfection reagents, PolyA+ and total RNA products, first-strand cDNA synthesis, and CRISPR/Cas9 genome products. It also provides proteins and lysates, such as purified human proteins, over-expression cell lysates, mass spectrometry standard proteins, and protein purification reagents; UltraMAB IHC antibodies, TrueMAB primary antibodies, anti-tag and fluorescent proteins, ELISA antibodies, luminex antibodies, secondary antibodies, and controls and others; and anatomic pathology products, including IHC antibodies, detection systems, and IHC accessories
The company offers luminex and ELISA antibody pairs, autoantibody profiling arrays, ELISA kits, cell assay kits, assay reagents, custom development, and fluorogenic cell assays; TissueFocus search tools; tissue sections; tissue microarrays, cancer protein lysate arrays, TissueScan cDNA arrays, tissue blocks, and quality control products, as well as tissue RNA, DNA, and protein lysates; and lab essentials. Its research areas include cancer biomarker research, RNAi, pathology IHC, stem cell research, ion channels, and protein kinase products. The company provides gene synthesis and molecular biology services, genome editing, custom cloning, custom shRNA, purified protein, monoclonal antibody development, and assay development. It sells its products through distributors worldwide, as well as online. OriGene Technologies, Inc. was incorporated in 1995 and is based in Rockville, Maryland.
Louis, MO – November 18, 2015 Merck KGaA, Darmstadt, Germany, Completes Sigma-Aldrich Acquisition
Merck KGaA today announced the completion of its $17 billion acquisition of Sigma-Aldrich, creating one of the leaders in the $130 billion global industry to help solve the toughest problems in life science.
Press Release: 18-Nov-2015
Letter to our Life Science Customers from Dr. Udit Batra
The life science business of Merck KGaA, Darmstadt, Germany brings together the world-class products and services, innovative capabilities and exceptional talent of EMD Millipore and Sigma-Aldrich to create a global leader in the life science industry.
“Everything we do starts with our shared purpose – to solve the toughest problems in life science by collaborating with the global scientific community.
This combination is built on complementary strengths, which will enable us to serve you even better as one organization than either company could alone.
This means providing a broader portfolio with a catalog of more than 300,000 products, including many of the most respected brands in the industry, greater geographic reach, and an unmatched combination of industry-leading capabilities.”
Thermo Fisher Scientific Inc. is a provider of analytical instruments, equipment, reagents and consumables, software and services for research, manufacturing, analysis, discovery and diagnostics. The company operates through four segments: Life Sciences Solutions, provides reagents, instruments and consumables used in biological and medical research, discovery and production of new drugs and vaccines as well as diagnosis of disease; Analytical Instruments, provides instruments, consumables, software and services that are used in the laboratory; Specialty Diagnostics, offers diagnostic test kits, reagents, culture media, instruments and associated products, and Laboratory Products and Services, offers self-manufactured and sourced products for the laboratory.
WALTHAM, Mass. & SANTA CLARA, Calif.–(BUSINESS WIRE)–Jan. 8, 2016– Thermo Fisher Scientific Inc. (NYSE:TMO), the world leader in serving science, and Affymetrix Inc. (NASDAQ:AFFX), a leading provider of cellular and genetic analysis products, today announced that their boards of directors have unanimously approved Thermo Fisher’s acquisition of Affymetrix for $14.00 per share in cash. The transaction represents a purchase price of approximately $1.3 billion.
Cell Death Pathway Insights, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair
Cell Death Pathway Insights
Larry H. Bernstein, MD, FCAP, Curator
LPBI
Phosphorylation and activation of ubiquitin-specific protease-14 by Akt regulates the 1 ubiquitin-proteasome system
Daichao Xu1,2, Bing Shan1,4, Byung-Hoon Lee3,4, Kezhou Zhu1,4, Tao Zhang1,4, Huawang Sun1, 4 Min Liu1, Linyu Shi1, Wei Liang1, et al.
eLife 2015;10.7554/eLife.10510 DOI: http://dx.doi.org/10.7554/eLife.10510
In this study, we report that USP14 is an Akt substrate and that this phosphorylation activates the DUB activity of USP14 both in vitro and in cells. We also demonstrate that phosphorylation of USP14 is critical for Akt to control UPS and consequentially global protein degradation via the UPS.
Regulation of ubiquitin-proteasome system (UPS), which controls the turnover of short-lived proteins in eukaryotic cells, is critical in maintaining cellular proteostasis. Here we show that 40 USP14, a major deubiquitinating enzyme that regulates the UPS, is a substrate of Akt, a serine/threonine-specific protein kinase critical in mediating intracellular signaling transducer for growth factors. We report that Akt-mediated phosphorylation of USP14 at Ser432, which normally blocks its catalytic site in the inactive conformation, activates its deubiquitinating activity in vitro and in cells. We also demonstrate that phosphorylation of USP14 is critical for Akt to regulate proteasome activity and consequently global protein degradation. Since Akt can be activated by a wide range of growth factors and is under negative control by phosphoinosotide phosphatase PTEN, we suggest that regulation of UPS by Akt-mediated phosphorylation of USP14 may provide a common mechanism for growth factors to control global proteostasis and for promoting tumorigenesis in PTEN-negative cancer cells.
The ubiquitin-proteasome system (UPS), a major degradative mechanism in eukaryotic cells, is involved in the degradation of short-lived proteins as well as misfolded and damaged proteins 69 (Komander and Rape, 2012). The 26S proteasome specifically targets and degrades proteins conjugated to ubiquitin. Regulation of protein deubiquitination by deubiquitinating enzymes (DUBs) is recognized as an important regulatory step in the ubiquitin-proteasome system. USP14, a deubiquitinating enzyme reversibly associated with the proteasome, negatively regulates the activity of proteasomes by trimming ubiquitin chains on proteasome-bound substrates (Borodovsky et al., 2001; Koulich et al., 2008; Lee et al., 2010). Purified recombinant USP14 is largely inactive and can be highly activated when in association with proteasome (Hu 76 et al., 2005; Koulich et al., 2008; Lee et al., 2010). However, a significant fraction of USP14 is present intracellularly in a proteasome-free state (Koulich et al., 2008) and it is not clear if and how proteasome-free USP14 might serve a significant physiological function. Akt, a serine/threonine-specific protein kinase and an important intracellular signaling transducer for growth factors such as insulin, is involved in regulating cell proliferation, metabolism, transcription, migration and apoptosis (Manning and Cantley, 2007). The activity of Akt is regulated by PI(3,4,5)P3, a lipid product of the phosphoinositide 3-kinases (PI3Ks). The intracellular levels of PI(3,4,5)P3 are negatively regulated by phosphatases such as SHIP1/2 and PTEN. The latter, a phosphoinoside phosphatase, is encoded by a tumor suppressor gene that is mutated in human cancers at high frequency (Cantley and Neel, 1999). Akt has been reported to mediate the phosphorylation of many substrates that in turn regulate cell proliferation, metabolism, transcription, migration and apoptosis. However, very little is known about its role in the UPS, and furthermore no mechanistic link between Akt and UPS has been elucidated.
Two forms of USP14 have been determined crystallographically: the inactive free form and an adduct between Ub-aldehyde (Ubal) and USP14, which provides insight into the catalytically active state (Hu et al., 2005). The key difference between these two structures is in the position of the blocking loops, BL1 and BL2, which project over the catalytic cleft of USP14 and block the access of the C-terminal residues of ubiquitin in the inactive form (Figure 1A). In Ubal-modified USP14, BL1 and BL2 are rearranged, thus exposing the cleft. In particular, Ser432, located within BL2, shifts its position over a distance of 3-5Å between the two states (Hu et al., 2005) (Figure 1B). Since Ser432 residue is located very close to a highly negatively charged patch (Figure 107 1C), we reasoned that when Ser432 residue was phosphorylated, the negatively charged phosphate group might induce a repulsive force, thereby inducing rearrangement of the BL2 loop and removing the inhibitory effect of this loop on the activity of USP14. The amino acid 110 sequences around Ser432 are highly evolutionarily conserved among USP14 orthologues 111 (Figure 1D) and Ser432 is predicted to be an Akt substrate by Scansite (http://scansite3.mit.edu/#home). We therefore tested the possibility that USP14 might be a substrate of activated Akt. We first examined the interaction between USP14 and Akt using a co-immunoprecipitation assay. As shown in Figure1-figure supplement 1A, when USP14 and Akt were overexpressed in HEK293T cells, their interaction was readily detectable. To test whether Akt could phosphorylate USP14, we overexpressed USP14 and an activated Akt (Myr-Akt) in HEK293T cells, and performed a quantitative phosphoproteomic analysis (Figure 118 1-figure supplement 1B). We identified four phosphorylation sites on USP14 when it was 119 expressed alone: Ser143, Ser230, Thr235, and Ser432 (Figure 1-figure supplement 1C-D). Notably, the phosphorylation levels of two of the four sites, Ser143 and Ser432, were increased considerably in cells expressing activated Akt (Figure 1E).
Figure 1. Structural basis of USP14 activation by phosphorylation of Ser432. (A) Detailed view of blocking loop 2 (BL2), which occludes the active site of USP14 (PDB access code 2AYN). The BL2 loop, which contains Ser432, is shown in stick model, in the apo form. (B) Combined ribbon representation and stick model showing a comparison of the conformations of the BL2 loop containing in the apo form (blue, PDB access code 2AYN) and in the USP14-Ubal adduct (orange, PDB access code 2AYO). In this drawing, the Ser432 and Cys114 residues are 504 shown in stick model, and the bound Ubal (a ubiquitin derivative in which the C-terminal 505 carboxylate is replaced by an aldehyde) in the complex is drawn in green. (C) A surface charge potential representation (contoured at ±7 kT/eV; blue/red) of USP14 (PDB accession 2AYN) showing that the S432 residue is very close to a highly negatively charged patch mainly formed by the acidic E188, D199 and E202 residues. When S432 is phosphorylated, the negatively charged phosphate group may induce a repulsive force, thereby relieving inhibition of the catalytic activity of USP14. (D) USP14 domain organization and sequence alignment of the Akt 511 phosphorylation site within USP14 orthologues from different species. Two blocking loops (BL1 512 and BL2) covering the USP14 active site are shown. The Akt phosphorylation site in USP14 from different species as predicted by Scansite. (E) S432 is the major phosphorylation site in USP14. HEK293T cells were treated as in Figure 1-figure supplement 1B, followed by ESI-MS analysis. Spectral counts were determined by ESI-MS. (F) Akt phosphorylates USP14 in vitro. Bacterially expressed and purified USP14 was incubated with active Akt in the presence of ATP. Reaction products were resolved by SDS-PAGE, and phosphorylated species were detected by a phospho-Ser antibody.
Since Ser432 residue is located very close to a highly negatively charged patch (Figure 107 1C), we reasoned that when Ser432 residue was phosphorylated, the negatively charged phosphate group might induce a repulsive force, thereby inducing rearrangement of the BL2 loop and removing the inhibitory effect of this loop on the activity of USP14. The amino acid sequences around Ser432 are highly evolutionarily conserved among USP14 orthologues (Figure 1D) and Ser432 is predicted to be an Akt substrate by Scansite (http://scansite3.mit.edu/#home). We therefore tested the possibility that USP14 might be a substrate of activated Akt. We first examined the interaction between USP14 and Akt using a co-immunoprecipitation assay. As shown in Figure1-figure supplement 1A, when USP14 and Akt were overexpressed in HEK293T cells, their interaction was readily detectable. To test whether Akt could phosphorylate USP14, we overexpressed USP14 and an activated Akt (Myr-Akt) in HEK293T cells, and performed a quantitative phosphoproteomic analysis (Figure 1-figure supplement 1B). We identified four phosphorylation sites on USP14 when it was expressed alone: Ser143, Ser230, Thr235, and Ser432 (Figure 1-figure supplement 1C-D). Notably, the phosphorylation levels of two of the four sites, Ser143 and Ser432, were increased considerably in cells expressing activated Akt (Figure 1E).
To examine whether USP14 is a direct substrate for Akt, we conducted an in vitro kinase 123 assay using activated recombinant Akt and purified recombinant USP14 expressed in E. coli. We 124 found that co-incubation of USP14 and Akt led to modification of USP14 as detected by a pan phospho-Ser antibody (Figure 1F), suggesting that USP14 is a substrate for Akt.
Figure 1-figure supplement 1. Akt phosphorylates USP14. (A) Akt interacts with USP14. HEK293T cells were transfected with indicated plasmids for 24 h. The cell lysates were collected for co-immunoprecipitation and western blotting analysis. (B) Schematic representation of mass spectrometry assay to determine USP14 phosphorylation sites by Akt. (C) Four phosphorylation sites of USP14 were determined by mass spectrometry. (D) The representative MS/MS spectrum of phosphorylated tryptic peptide ‘SSSphosSGHYVSWVK’ of human USP14 protein. The peptide sequence ‘SSSphosSGHYVSWVK’ containing phosphorylated S432 was identified by shotgun analysis using mass spectrometry when USP14 was co-expressed with Myr-Akt in HEK293T cells. Fragmentation ion of the amide bond of the peptide result in formation of ‘b’ ion and ‘y’ ion series corresponding to the N-terminal and C-terminal fragments respectively. Representative ions with phosphorylation and H2O loss were manually labeled in red on the spectrum.
To determine if Ser143 and Ser432 were indeed phosphorylated by Akt, we used this pan phospho-Ser antibody as above and found phosphorylation of WT USP14, but not of S143A/S432A mutant USP14, after incubating with activated Akt in a kinase assay (Figure 2A). To differentiate the relative importance of Ser143 and Ser432 as phosphorylation sites by Akt, we overexpressed activated Akt (Myr-Akt) in HEK293T cells with WT, S143A, S432A or double S143A/S432A (AA) mutants. We found that S143A mutant showed partially reduced phosphorylation as compared to that of WT, whereas phosphorylation of the USP14 S432A mutant was significantly decreased and that of AA double mutant was completely eliminated (Figure 2B). These results suggested S432 as a major and S143 as a minor phosphorylation site of Akt.
The phosphorylation of USP14 by Akt was further confirmed using an Akt phosphorylation-consensus motif (R××S/T) antibody (Figure 2-figure supplement 1A). The reactivity of USP14 with pan phospho-Ser antibody was eliminated after incubation with lambda phosphatase (Figure 2C). Notably, the phosphorylation levels of USP14 were decreased in cells when treated with MK2206, an inhibitor of Akt (Figure 2D), or when serum deprived, a condition known to inactivate endogenous Akt (Zhang et al., 2015) (Figure 2D).
To further verify the phosphorylation of USP14 S432 by Akt, we developed a phospho-Ser432 specific antibody. Phosphorylation of S432 can be detected after incubation of WT, but not S432A mutant USP14, with recombinant activated Akt in a kinase reaction (Figure 145 2E). This was further confirmed by using phos-tag electrophoresis which can specifically retard the migration of phosphorylated protein species (Kinoshita et al., 2009) (Figure 2E). Expression of Myr-Akt also led to S342 phosphorylation of endogenous USP14 (Figure 2F). Treatment with either MK2206 or AZD5363, two structurally unrelated Akt inhibitors, led to decrease of USP14 S432 phosphorylation levels (Figure 2-figure supplement 1B-C). Moreover, treatment with PI3K inhibitors, either Wortmannin or GDC0941, but not ERK1/2 inhibitor U0126, also significantly decreased the phosphorylation levels of USP14 S432 (Figure 2-figure supplement 152 1D-E). In addition, we tested growth factors such as IGF-1 or EGF, both of which are known to promote activation of Akt. We found that the treatment of IGF-1 or EGF resulted in phosphorylation of USP14 S432, which was blocked in cells pre-treated with MK2206 (Figure 155 2G-H). Finally, USP14 S432 is dramatically more phosphorylated in PTEN knockout mouse embryonic fibroblasts (MEFs), which carry high levels of Akt activity, than that of WT MEFs as determined by western blotting using the phospho-USP14(S432) antibody and phos-tag electrophoresis (Figure 2I), and the phosphorylation of USP14 S432 was blocked by Akt inhibitors (Figure 2-figure supplement 1F). From these results, we conclude that Ser432 of USP14 is a major phosphorylation site by Akt.
Figure 2. USP14 is phosphorylated at Ser432 by activated Akt. (A) In vitro phosphorylation 521 of USP14 at S432 by Akt. Bacterially expressed and purified wide type USP14 or AA mutant incubated with active Akt in the presence of ATP. Reaction products were resolved by SDS-PAGE, and phosphorylation was detected by the phospho-Ser antibody. (B) Akt phosphorylates USP14 at S432 in vivo. Western blot analysis of whole cell lysate and immunoprecipitates derived from HEK293T cells transfected with wild type USP14, USP14 S143A, USP14 S432A and USP14 S143A/S432A (AA) constructs using the phospho-Ser antibody. L.E., long exposure. (C) Immunoprecipitation (IP) and IB analysis of HEK293T cells transfected with HA-USP14 and Myr-Akt and preincubated with or without λ-phosphatase as indicated. (D) Inhibition of Akt decreased exogenous USP14 phosphorylation. HEK293T cells were transfected with Myc-USP14 for 20 h then treated with 1 μM MK2206 or deprived of serum for another 4 h before harvest. (E) In vitro kinase assay to detect Akt phosphorylation of USP14 by phospho-Ser432 specific antibody and phos-tag-containing gels. Bacterially expressed and purified wide type USP14 or S432A mutant was incubated with active Akt in the presence of ATP. The reaction products were resolved by SDS-PAGE, and USP14 phosphorylation was detected using an antibody that specifically recognizes Ser432 phosphorylation of USP14 or determined by differential migration on phos-tag gels. (F) In vivo detection of endogenous USP14 Ser432 phosphorylation by anti-p-Ser432 specific antibody. Western blot analysis of immunoprecipitates derived from H4 cells transfected with or without Myr-Akt plasmids using the anti-p-Ser432 specific antibody. (G, H) Phosphorylation of endogenous USP14 S432 upon 540 stimulation with IGF-1 or EGF. HEK293T cells were serum-starved and pre-treated with Akt inhibitor MK2206 (1 μM) for 30 min before stimulation with IGF-1 (100 ng/mL) for 30 min (G) or EGF (100 ng/mL) for 1 h (H). The cell lysates were immunoprecipitated with USP14 antibody and western-blotted with anti-p-S432 antibody. (I) Phosphorylation of endogenous USP14 S432 in Pten knockout cells with high activity of Akt. Lysates from MEFs with indicated genotypes 545 were immunoprecipitated with USP14 antibody and then western-blotted with p-S432 antibody. The differential migration of phospho-USP14 on phos-tag-containing gels was determined as shown in the bottom panel.
Activation of USP14 by Akt mediated phosphorylation Because bacterially expressed and purified USP14 protein exhibits very low catalytic activity (Lee et al., 2010), we tested whether Akt-mediated phosphorylation might activate the DUB activity of USP14. We compared the activity of recombinant USP14 in a Ub-AMC (ubiquitin-7-amido-4-methylcoumarin, a fluorogenic substrate) hydrolysis assay in the presence or absence of Akt. Bacterially expressed and purified USP14 (Figure 3-figure supplement 1) showed trace hydrolyzing activity towards Ub-AMC as reported (Lee et al., 2010), while USP14 incubated with Akt showed high activity (Figure 3A). To validate Akt-mediated activation of USP14 in cells, we co-expressed USP14 and Myr-Akt in HEK293T cells. USP14 immunoprecipitated from cells co-expressing activated Akt showed higher activity in Ub-AMC assay than that expressed alone (Figure 3B). On the other hand, USP14 isolated from HEK293T cells incubated with Akt inhibitor MK2206 showed reduced activity in Ub-AMC assay (Figure 3C). Moreover, USP14 isolated from HEK293T cells stimulated with IGF-1 showed higher
activity, which was suppressed when cells were pre-treated with MK2206 (Figure 3D). To determine the specific contribution of Ser432, we compared the activity of USP14 S432A mutant protein in Ub-AMC assay with that of WT in the presence of Akt, and found that the stimulating effect of Akt on the hydrolyzing activity of USP14 was largely blocked by S432A mutation (Figure 3E), but not by S143A mutation (Figure 3-figure supplement 2B).
To further characterize the effect of Ser432 phosphorylation, we expressed and purified recombinant S432E USP14 protein, which mimics the phosphorylation state of USP14, from E. coli (Figure 3-figure supplement 1) and analyzed its activity by Ub-AMC assay. Interestingly, we found that USP14 S432E mutant protein alone showed high levels of Ub-AMC hydrolyzing activity (Figure 3F). Consistent with S432 as the major phosphorylation site by Akt, double E mutant (S143E/S432E) showed almost the same levels of hydrolyzing activity as that of S432E single mutant and S143E mutation had no significant impact on the activity of USP14 (Figure 3-figure supplement 2C-D). To determine its enzyme kinetics, we incubated USP14 S432E mutant protein with increasing amounts of Ub-AMC (Figure 3-figure supplement 2E) and determined the Km value (Km = 26 μM) from the slope of a Lineweaver-Burk plot (Figure 3G).
We characterized the distributions of p-S432 USP14 and total USP14 with that of proteasome in Pten-/- MEFs using glycerol gradient centrifugation (Koulich et al., 2008). We found that majority of p-S432 USP14 was distributed in the fractions with lower molecular weight proteins and distinguishable from the fractions where larger protein complexes, such as proteasomes, were localized. On the other hand, unphosphorylated USP14 was found in the fractions where larger molecular weight complexes, such as proteasome, are known to be localized (Figure 3-figure supplement 2F). Thus, S432 phosphorylated and unphosphorylated USP14 might be distributed differently in the cells. We next determined whether phospho-mimetic mutant of USP14 could be further activated by interacting with proteasome. Interestingly, we found that the Ub-AMC hydrolytic activity of S432E mutant could be further 200 activated when incubated with proteasome in vitro (Figure 3H). Taken together, these results suggest that S432 phosphorylation and intraction with proteasome may be two different
regulatory mechanisms for USP14.
Figure 3. Phosphorylation of USP14 by Akt activates USP14 DUB activity. (A) Akt activates USP14 DUB activity in vitro. USP14 protein (1μg) was incubated with or without active Akt (1 μg) in kinase assay buffer in a total volume of 50 μL for 1 h at 30oC, then the reaction mixtures were subjected to Ub-AMC assay. RFU, relative fluorescence units. (B, C) Akt activates USP14 in cells. USP14 was immunoprecipitated from HEK293T cells co-expressed with activated Akt (B) or treated with 10 μM MK2206 for 4h (C) and then eluted with HA-peptide following Ub-AMC hydrolysis assay. (D) Activation of USP14 by stimulating cells with IGF-1. HEK293T cells were serum-starved and pre-treated with or without Akt inhibitor MK2206 (1 μM) for 30 min before stimulation with IGF-1 (100ng/mL) for 30 min. USP14 was then immunoprecipitated and eluted with HA-peptide. The activity of USP14 was determined using Ub-AMC hydrolysis assay. (E) USP14 activation by Akt is blocked by S432A mutation. Ub-AMC hydrolysis assay of wide type USP14 or S432A mutant in the presence or absence of active Akt. (F) Ub-AMC hydrolysis assay of bacterially expressed and purified wide type USP14 or S432E mutant. (G) Lineweaver-Burk analysis of USP14 S432E, obtained by measuring the initial rates at varying Ub-AMC concentrations (see Figure 3-figure supplement 2E for reference). (H) The activity of phospho-mimetic USP14 mutant can be further stimulated by the presence of proteasome. Ub-AMC hydrolysis assay of wild type USP14 or S432E mutant in the presence or absence of Ub-VS-treated human proteasome [VS-proteasome (see Lee et al., 2010); 1 nM]. Ptsm, 26S proteasome.
Phosphorylation of USP14 promotes both K48 and K63 deubiquitination activity To assess the impact of USP14 phosphorylation on its selectivity towards different types of 206 ubiquitin linkages, we incubated USP14 WT and S432E mutant protein with diubiquitin species of K48, K63 and linear linkages. Conversion to monomeric Ub was monitored via SDS-PAGE followed by western blotting. We observed significantly increased hydrolytic activity of S432E mutant, as compared to that of WT, towards both Lys48 and Lys63 diubiquitin, while linear diubiquitin was not readily cleaved by WT or mutant USP14 (Figure 4A-B and Figure 4-figure supplement 1A). Similarly, immunoprecipitated USP14 from cells showed significant activity toward both Lys48 and Lys63 diubiquitin, but not linear diubiquitin (Figure 4-figure supplement 1B-C). In contrast, S432A mutant immunoprecipitated from cells showed lower activity towards both Lys48 and Lys63 diubiquitin than that of WT (Figure 4C). Regulation of ubiquitin-proteasome system by Akt depends on phosphorylation of USP14. Since USP14 is a negative regulator of the UPS (Koulich et al., 2008; Lee et al., 2010; Lee et al., 2011) and we found USP14 can be phosphorylated and activated by Akt, we reasoned that 219 Akt-mediated activation of USP14 might lead to inhibition of the ubiquitin-proteasome system (UPS) and generally enhance the stability of many proteins. To this end, we generated a stable 221 cell line expressing GFP-CL1 (also known as GFPu), an engineered ubiquitin-dependent proteasome substrate widely used as a reporter for UPS activity (Bence et al., 2001; Kelly et al., 2007; Li et al., 2013; Liu et al., 2014) (Figure 5-figure supplement 1A-C). Treatment of cells with Akt inhibitors or serum deprivation or PI3K inhibitor, all of which can block Akt activity (Zhang et al., 2015), led to reduced level of GFP-CL1 as detected by both western blotting and fluorescence microscopy (Figure 5A-C and Figure 5-figure supplement 1D). Conversely, the expression of activated Akt (Myr-Akt) led to increased levels of GFP-CL1 protein. Treatment of WT H4 cells with IGF-1 or EGF also led to increased levels of GFP-CL1 protein (Figure 5D-G and Figure 5-figure supplement 1E). In contrast, in USP14 knockout H4 cells (generated using CRISPR/Cas9 technology, Figure 5-figure supplement 2A-D), the expression of Myr-Akt did not affect the levels of GFP-CL1 (Figure 5H). From these results, we conclude that Akt 232 negatively regulates the UPS in an USP14-dependent manner.
We next tested the importance of USP14 phosphorylation for Akt to regulate UPS. We found that in contrast to USP14 WT reconstituted H4 cells, USP14 AA mutant reconstituted H4 cells showed no increase in the accumulation of GFP-CL1 in response to the expression of activated Akt (Figure 5-figure supplement 2E and Figure 5I). As a control, we found that the expression of Akt had no effect on a ubiquitin-independent substrate of the proteasome, C-terminal ornithine decarboxylase-GFP (GFP-cODC) (Hoyt et al., 2005; Kelly et al., 2007; Lee et al., 2010) (Figure 5-figure supplement 2F-G), suggesting that Akt does not inhibit the UPS through a general inhibition of the proteasome itself. Taken together, these data show that 241 phosphorylation of USP14 by Akt is important for this kinase to negatively regulate the UPS in a ubiquitin-dependent manner.
Phosphorylation of USP14 regulates global protein degradation To further understand the physiological roles of Akt-mediated USP14 phosphorylation and subsequently activation, we sought to study the impact of USP14 phosphorylation on global protein degradation. Since the loss of USP14 accelerates cellular proteolysis (Koulich et al., 2008; Lee et al., 2010), we performed a quantitative proteomic analysis to determine the levels of proteins in WT H4 cells, H4 USP14-KO cells, and H4 USP14-KO cells complemented with WT USP14, S143A/S432A (AA) or S143D/S432D (DD) mutants. Using an isobaric TMT labeling approach, our mass spectrometry analysis identified 18,400 peptides with high confidence (q<0.01), corresponding to 3,648 proteins with a minimum of two peptides from each protein. 2,763 proteins, which were quantified in at least 2 replicates, were subjected to further analysis. We found the global protein patterns of H4 USP14-KO cells were similar to those of H4 USP14 KO-AA cells, but distinct from those of WT H4 cells. We identified a common set of 87 proteins that were reduced in H4 KO cells as compared to H4 WT cells or to H4 KO cells complemented with WT USP14 (KO-WT) (Figure 6, Lane1-2). The levels of these proteins were also significantly reduced in H4 KO-AA cells (Figure 6, Lane 3). Importantly, the levels of this set of 87 proteins in H4 KO-DD cells were significantly higher than that of H4 KO-AA cells (Figure 6, Lane 4).
Figure 6. Phosphorylation of USP14 regulates global protein degradation. The quantitative 605 analysis of proteome change in USP14 knockout or USP14 mutant cells were performed by 606 TMT-isobaric labeling followed by shotgun analysis. The heat map was plotted based on the set of 87 proteins that are down-regulated greater than or equal to 1.2 fold in H4 KO cells compared to H4 WT cells or to H4 KO cells complemented with WT USP14 (KO-WT). The log base 2 of average ratios was plotted as indicated.
To verify that the identified changes in protein abundance were due to proteasomal degradation, we treated H4 KO-AA cells with proteasome inhibitor MG132 and analyzed the protein level change of these 87 proteins. We found that the levels of these proteins increased significantly in MG132-treated KO-AA cells compared to that of control KO-AA cells (Figure 6, Lane 5), suggesting that these proteins were indeed subject to an increased rate of proteasome degradation with expression of non-phosphorylatable USP14. Interestingly, the top hit on this list of 87 proteins that were differentially regulated upon the loss of USP14 is mTOR, a central established regulator of cellular metabolism and tumorigenesis. We confirmed the role of USP14 on the levels of mTOR by western blotting. We found that the levels of mTOR were reduced inH4 KO and H4 KO cells complemented with USP14 AA mutant, but restored upon the expression of USP14 DD mutant (Figure 6-figure supplement 1). Taken together, our results suggest that phosphorylation of USP14 may provide a mechanism for Akt to regulate global protein degradation through the proteasome, which in turn may control key cellular pathways involved in regulating metabolism and tumorigenesis.
NF-kB-Independent Role of IKKa/IKKb in Preventing RIPK1 Kinase-Dependent Apoptotic and Necroptotic Cell Death during TNF Signaling
IKKa/IKKb prevent RIPK1 kinase-dependent death independently of NF-kB activation
IKKa/IKKb directly phosphorylate RIPK1 in TNFR1 complex I
Impaired phosphorylation of RIPK1 correlates with enhanced binding to FADD/caspase-8
IKK kinase inhibition induces TNF-mediated RIPK1 kinasedependent cell death in vivo
In Brief Dondelinger et al. describe an unexpected NF-kB-independent function of the IKK complex in protecting against TNF-induced RIPK1 kinase-dependent cell death. In TNFR1 complex I, IKKa/ IKKb directly phosphorylates RIPK1, leading to a reduction in RIPK1’s ability to bind FADD/caspase-8 and to induce apoptosis.
TNF is a master pro-inflammatory cytokine. Activation of TNFR1 by TNF can result in both RIPK1-independent apoptosis and RIPK1 kinase-dependent apoptosisornecroptosis.Thesecelldeathoutcomes are regulated by two distinct checkpoints during TNFR1 signaling. TNF-mediated NF-kB-dependent induction of pro-survival or anti-apoptotic molecules is a well-known late checkpoint in the pathway, protecting cells from RIPK1-independent death. On the other hand, the molecular mechanism regulating the contribution of RIPK1 to cell death is far less understood. We demonstrate here that the IKK complex phosphorylates RIPK1 at TNFR1 complex I and protects cells from RIPK1 kinase-dependent death, independent of its function in NF-kB activation. We provide in vitro and in vivo evidence that inhibition of IKKa/IKKb or its upstream activators sensitizes cells to death by inducing RIPK1 kinase-dependent apoptosis or necroptosis. We therefore report on an unexpected, NF-kB-independent role for the IKK complex in protecting cells from RIPK1-dependent death downstream of TNFR1.
The IkB kinase (IKK) complex, composed of the regulatory subunit NEMO (also known as IKKg) and the two catalytic subunits IKKa and IKKb, plays a central role in the induction of immune and inflammatory responses as well as in promoting cell survival and tumorigenesis (Baldwin, 2012; Baud and Karin, 2009; Hayden and Ghosh, 2012; Liu et al., 2012). Its activation constitutes the ignition phase of the canonical NF-kB pathway, which
ultimately results in the translocation of NF-kB dimers to the nucleus, where they promote transcription of a myriad of genes involved in inflammation, survival, and tumorigenesis.
TNF is a master pro-inflammatory cytokine, and inappropriate TNF signaling has been demonstrated to drive many inflammatory diseases. Activation of TNFR1 by TNF promotes inflammation either directly by activating the canonical NF-kB pathway or indirectly by promoting cell death, which exacerbates inflammation by releasing damage-associated molecular patterns (DAMPs) as well as by affecting the permeability of the bodily barriers to microbes (Pasparakis and Vandenabeele, 2015). In most cell types, activation of TNFR1 does not induce death but triggers canonical NF-kB-dependent transcriptional upregulation of genes encoding pro-survival and pro-inflammatory molecules. Ligation of TNF to trimeric TNFR1 induces the rapid assembly of a plasma membrane-bound signaling complex, known as complex I, that contains TRADD, RIPK1, and the E3 ubiquitin ligases TRAF2, cIAP1, cIAP2, and LUBAC (Walczak, 2011). The conjugation of ubiquitin chains to RIPK1 by cIAP1/ cIAP2 generates binding sites for TAB2/TAB3 and NEMO and allows further recruitment and activation of TAK1 and IKKa/ IKKb (Bertrand et al., 2008; Ea et al., 2006; Gerlach et al., 2011; Kanayama et al., 2004; Mahoney et al., 2008; Wu et al., 2006). TAK1 activates the IKK complex by phosphorylation, resulting in the rapid and selective IKK-mediated phosphorylation of IkBa and in its subsequent ubiquitylation-dependent proteasomal degradation. IkBa degradation then permits translocation of the NF-kB heterodimer p50/p65 to the nucleus, where it induces transcription of multiple responsive genes, including pro-survival genes such as cFLIP (Hayden and Ghosh, 2014). The anti-apoptotic potential of cFLIP resides in its ability to counteract activation of caspase-8 from a cytosolic TRADD-FADD-caspase-8 cytosolic complex, named complex IIa, which is believed to originate from complex I internalization (Irmler et al., 1997; Micheau and Tschopp, 2003; Wang et al., 2008; Wilson et al., 2009). Accordingly, TNFR1-mediated RIPK1-independent apoptosis requires inhibition of the NF-kB response (Van Antwerp et al., 1996), commonly obtained in vitro by the use of pharmacological inhibitors of transcription or translation, respectively, Actinomycin D (ActD) and cycloheximide (CHX).
The NF-kB-mediated induction of pro-survival/anti-apoptotic molecules is, however, not the only cell death checkpoint in the TNFR1 pathway (O’Donnell and Ting, 2011). Indeed, altering activation of the canonical NF-kB pathway by inhibiting components located upstream of IkBa, namely, cIAP1/cIAP2, TAK1, and NEMO, was reported to further sensitize cells to death by additionally inducing RIPK1-dependent death (Dondelinger et al., 2013; Legarda-Addison et al., 2009; O’Donnell et al., 2012). Depending on the cellular context, activated RIPK1 accelerates cell death either by promoting assembly of a RIPK1FADD-caspase-8 cytosolic apoptotic complex, referred to as complex IIb (Wilson et al., 2009), or by promoting necroptosis via activation of the RIPK3-MLKL pathway (Pasparakis and Vandenabeele, 2015). Although initiated by cIAP1/cIAP2-mediated ubiquitylation of RIPK1 in complex I, the last molecular step in the regulation of this early RIPK1 kinase-dependent cell death checkpoint is currently unknown. In this study, we demonstrate that RIPK1 is a bona fide substrate of IKKa and IKKb and that IKKa/IKKb-mediated phosphorylation of RIPK1 in complex I protects cells from RIPK1 kinase-dependent death.
NEMO Deficiency and IKKa/IKKb Double Deficiencies Induce TNFR1-Mediated RIPK1 Kinase-Dependent Apoptosis We previously reported that the ubiquitin chains conjugated to RIPK1 by cIAP1/cIAP2 do not constitute the ultimate step regulating the contribution of RIPK1 to TNF-induced cell death. Indeed, genetic or pharmacological inhibition of TAK1 also drivesRIPK1-dependentdeathwithoutaffectingRIPK1ubiquitylation in complex I (Dondelinger et al., 2013). In this study, we investigated the role of the IKK complex in the regulation of this cell death checkpoint. Indeed, the IKK complex lies between TAK1andIkBainthepathway,andalthoughexpressionofaproteasome-resistant form of IkBa (IkBaSR) induces RIPK1-independent apoptosis (Dondelinger et al., 2013), NEMO deficiency was reported to sensitize cells to TNF-induced death by additionally promoting RIPK1-dependent apoptosis (Legarda-Addison et al., 2009). In absence of cIAP1/cIAP2 or TAK1, TNF-mediated RIPK1-dependent apoptosis was shown to rely on RIPK1 kinase activity (Dondelinger et al., 2013; Wang et al., 2008). To test whether this is also true in absence of NEMO, we first stimulated NEMO-deficient mouse embryonic fibroblasts (MEFs) with TNF in the absence or presence of Nec-1, a RIPK1 kinase inhibitor. Interestingly, we found that Nec-1 greatly, but not entirely,protectedNemo/MEFsfromTNF-induced apoptosis, as monitored by cell permeability, caspase-3 activity, and caspase-3 and caspase-8 processing (Figures 1A–1D, 1K, and 1L). These results indicated that, similarly as cIAP1/cIAP2 and TAK1, NEMO also regulates both RIPK1 kinase-dependent and RIPK1-independent cell death checkpoints downstream of TNFR1. To test whether this protective function of NEMO
reflects its role as adaptor protein recruiting IKKa and IKKb to TNFR1 complex I, we next stimulated Ikka/, Ikkb/, and Ikka//Ikkb/ MEFs with TNF. Interestingly, while IKKa or IKKb single deficiency had little effect on apoptosis induction (Figures 1E–1H), their combined depletion mimicked the phenotype observed in the Nemo/ MEFs (Figures 1I–1L), suggesting redundant roles of IKKa and IKKb downstream of NEMO in preventing RIPK1-dependent apoptosis. To exclude the possibility that the phenotypes observed in the various MEF genotypes were originating from intrinsic defects due to clonal expansion, we confirmed our findings in Ripk1+/+ and Ripk1/ MEFs depleted of IKK proteins by siRNA (Figure S1). Of note, NEMO siRNA had little effect on cell death induction in these experiments, probably due to the poor efficiency in repressing NEMO.
Figure 1. NEMO Deficiency and IKKa/IKKb Double Deficiencies Induce TNFR1-Mediated RIPK1 Kinase-Dependent Apoptosis (A–L)MEFsoftheindicatedgenotypesweretreatedwith20ng/mlhTNFinthepresenceorabsenceofNec-1,andcelldeath(A,C,E,G,andI)andcaspaseactivity (B, D, F, H, and J) were measured in function of time, respectively, by SytoxGreen positivity and DEVD-AMC fluorescence. Protein levels were determined by immunoblotting in unstimulated cells (K) or 15 hr poststimulation with the indicated compounds (L). Forthe celldeath results, error bars represent theSEM ofthreeindependent experiments. Forthe caspase-3activity results, error bars represent SDof triplicates of one representative experiment. See also Figure S1.
IKKa and IKKb Mediate Their Protective Effect on RIPK1 via Their Enzymatic Activities Because IKKa and IKKb are serine/threonine kinases, we next evaluated the requirement of their enzymatic activities for their ability to repress RIPK1-dependent apoptosis. To do so, we tested the effect of five different IKK inhibitors on TNF-induced death and found that all of them led to a combination of RIPK1 kinase-dependent and RIPK1-independent death, as observed in the Ikka//Ikkb/ MEFs (Figures S2A and S2B). We further confirmed RIPK1 kinase-dependent apoptosis induction using TPCA-1 (Figures 2A–2C), as this inhibitor had no effect on TNF-induced death in Ikka//Ikkb/ MEFs (Figure S2B). TPCA-1 was used at 5 mM, a concentration reported to inhibit both IKKa and IKKb kinase activities (IC50 = 400 nM and 17.9 nM for IKKa and IKKb, respectively) (Podolin et al., 2005). We demonstrated that the apoptotic cell death was mostly depending on RIPK1 kinase activity by either co-incubating cells with Nec-1 (Figures 2A–2C) or by stimulating RIPK1 kinase-dead-expressing MEFs (Ripk1 K45A)(Figures 2D and 2E) (Berger et al., 2014). Importantly, Nec-1 had no effect in Ripk1 K45A MEFs, excluding any off-target effect (Figures S2E andS2F). Of note, similar results were obtained upon pharmacological inhibition of cIAP1/cIAP2 or TAK1 (Figures 2F, 2G, S2C, and S2D). In line with a role of IKKa and IKKb downstream of cIAP1/cIAP2, TAK1, and NEMO in the pathway, we tested the effect of TPCA-1 on TNF-induced death in ciap1/2/, Tak1/, and Nemo/ MEFs and found no additional effect (Figures 2H–2K). Together, these results indicate that the kinase activities of IKKa/IKKb regulate, downstream of cIAP1/cIAP2, TAK1, and NEMO, both RIPK1 kinasedependent and RIPK1-independent cell death checkpoints.
Figure 2. IKKa and IKKb Mediate Their Protective Effect on RIPK1 via Their Enzymatic Activities (A, B,and D–K)Ripk1+/+ or MEFsof theindicated genotypes weretreated with20ng/ml hTNF inthepresenceof theindicated compounds, and celldeath (A,D,F, H, I, J, K) and caspase-3 activity (B, E, G) were measured in function of time, respectively, by SytoxGreen positivity and DEVD-AMC fluorescence. (C) Protein levels in wild-type MEFs determined by immunoblotting 4 hr poststimulation. Forthecell death results,error bars represent the SEMof three independent experiments. Forthe caspase-3 activity results, error bars represent SDoftriplicates of one representative experiment. See also Figure S2.
IKKa/IKKb Protect Cells from RIPK1-Dependent Apoptosis Independently of NF-kB We previously demonstrated that, in absence of cIAP1/cIAP2 or TAK1, RIPK1 contribution to TNF-induced death is regulated independently of a defect in the canonical NF-kB-dependent upregulation of pro-survival genes (Dondelinger et al., 2013). Moreover, NEMO was also reported to inhibit RIPK1 activation in an NF-kB-independent manner (Legarda-Addison et al., 2009; O’Donnell et al., 2012). IKKa and IKKb are best known for their roles in NF-kB activation, but NF-kB-independent functions have also been reported (Hinz and Scheidereit, 2014). To confirm that IKKa and IKKb regulate RIPK1 activation independently of the canonical NF-kB response, we took two different approaches. In the first one, we tested the effect of inhibiting IKKa/IKKb in conditions where the NF-kB response is prevented by incubating the cells with the translational inhibitor CHX. In the second, we used p65/ MEFs, which are defective for canonical NF-kB activation (Beg et al., 1995). As previously reported (Wang et al., 2008), apoptosis induced by TNF+CHX occurred with a slow kinetic and independently of RIPK1 kinase activity (Figures 3A–3C). Remarkably, a pretreatment with TPCA-1 greatly sensitized cells to apoptosis, and this sensitization was prevented by Nec-1 (Figures 3A– 3C, S3A, and S3B). Similar results were obtained when stimu
lating NF-kB-deficient p65/ MEFs with TNF and TPCA-1 (Figures 3D–3F) or in combination with TAK1 and cIAP1/ cIAP2 inhibitors (Figures S3C and S3D). Together, these results demonstrate that RIPK1-independent and -dependent apoptotic pathways are regulated by two different cell death checkpoints downstream of TNFR1 and that IKKa/IKKb regulate both of them in NF-kB-dependent and -independent manners, respectively.
Figure 3. IKKa/IKKb Protect Cells from RIPK1-Dependent Apoptosis Independently of NF-kB (A,B,D,andE)Ripk1+/+ (AandB)orp65/(DandE)MEFswerestimulatedwith20ng/mlhTNFinthepresenceoftheindicatedcompounds,andcelldeath(Aand D) and caspase activity (B and E) were measured in function of time, respectively, by SytoxGreen positivity and DEVD-AMC fluorescence. (C and F) Ripk1+/+ (C) or p65/ (F) MEFs were stimulated for, respectively, 15 hr and 8 hr with the indicated compounds, and protein levels were determined by immunoblotting. Forthe celldeath results, error bars represent theSEM ofthreeindependent experiments. Forthe caspase-3activity results, error bars represent SDof triplicates of one representative experiment. See also Figure S3.
Defective RIPK1 Phosphorylation in Complex I Correlates with RIPK1 Kinase-Dependent Contribution to TNF-Induced Apoptosis Knowing that the IKK complex physically interacts with RIPK1 in complex I, we hypothesized that the kinase-dependent role of IKKa/IKKb in preventing RIPK1 kinase-dependent apoptosis results from its ability to phosphorylate RIPK1. To test this hypothesis, we analyzed whether RIPK1 is phosphorylated in complex I and whether its phosphorylation state is altered in conditions affecting activation of IKKa/IKKb, but not when the pathway is inhibited downstream of IKKa/IKKb. Because RIPK1 is highly ubiquitylated in complex I (which prevents the detection by immunoblot of potential mobility shifts resulting from its phosphorylation), we removed the ubiquitin chains conjugated to RIPK1 by incubating complex I, pulled-down using FLAG-TNF, with the deubiquitylase USP2 (Figure 4A). By doing so, we observed that the pool of deubiquitylated RIPK1 was running at a higher molecular weight than normal and confirmed, by l-phosphatase treatment, that this mobility shift was resulting from phosphorylation, but not auto-phosphorylation since it was not inhibited by Nec-1 or in Ripk1 K45A MEFs (Figures 4A–4C). Remarkably, and in line with the model of cIAP1/ cIAP2-mediated ubiquitylation-dependent recruitment of TAK1 and NEMO/IKKa/IKKb to complex I and with our cell death results, we found that RIPK1 phosphorylation in complex I is affected in ciap1/2/, Tak1/, Nemo/, and Ikka//Ikkb/, but not in Ikka/, Ikkb/, and p65/ MEFs or in MEFs preincubated with CHX (Figures 4D, 4E, 4G, and 4H). Importantly, IKK activity is greatly affected (as observed by IkBa phosphorylation) in all conditions in which we observed impaired RIPK1 phosphorylation, thereby further demonstrating the link between RIPK1 phosphorylation and IKK enzymatic activities (Figure 4E). Defective RIPK1 phosphorylation in complex I was also observed following pharmacological inhibition of cIAP1/ cIAP2, TAK1, or IKKa/IKKb (Figure 4F).
Figure 4. Defective RIPK1 Phosphorylation in Complex I Correlates with RIPK1 Kinase-Dependent Contribution to TNF-Induced Apoptosis (A–H) Ripk1+/+ MEFs (A, B, F, and H) or MEFs with the indicated genotype (C, D, E, and G) were stimulated for 5 min with 2 mg/ml FLAG-hTNF in the presence or absence of the indicated compounds. TNFR1 complex I was then FLAG immunoprecipitated, incubated with the deubiquitylating enzyme USP2 or lambda phosphatase (l PPase) when indicated, and RIPK1 ubiquitylation and phosphorylation finally analyzed by immunoblotting. * indicates an aspecific band. See also Figure S7
Direct Phosphorylation of RIPK1 by IKKa/IKKb Prevents RIPK1 from Integrating Complex IIb To test the direct contribution of IKKa/IKKb to RIPK1 phosphorylation, we next performed in vitro kinase assays using recombinant proteins and included Nec-1 in the reactions to prevent RIPK1 autophosphorylation. We found that both IKKa and IKKb directly phosphorylated full-length RIPK1 or a mutated version lacking the death and RHIM domain (RIPK11–479)(Figures 5A, 5B, and S4A). Of note, RIPK1 phosphorylation by IKKb induced a mobility shift of RIPK1 not detected when using IKKa (Figures 5A and 5B), suggesting some specificity in the residues phosphorylated by both kinases. In line with our cellular data, TPCA-1 repressed, although with different efficiencies, the direct phosphorylation of RIPK1 by IKKa and IKKb. In contrast, recombinant TAB1/TAK1 did notlead to detectable RIPK1 phosphorylation by autoradiography (Figure 5C).
We next tested the consequence of genetic or pharmacological inhibition of IKKa/IKKb, and of the resulting defective phosphorylation of RIPK1 in complex I, on the ability of RIPK1 to integrate the cytosolic caspase-8-activating complex IIb. We found, by performing FADD and caspase-8 immunoprecipitations, that inhibition of IKKa/IKKb enzymatic activities resulted in the binding of RIPK1 to FADD and caspase-8, a process relying on RIPK1 kinase activity (Figures 5D–5G). In contrast, CHX pre-treatment, which does not affect phosphorylation of RIPK1 in complex I (Figure 4H), led to much less recruitment of RIPK1 to FADD/caspase-8, and this recruitment was not inhibited by Nec-1 (Figures 5F, 5G, and S4B). Of note, association of TRADD with FADD/caspase-8 was not observed under these conditions. Together, these results suggest that IKKa/IKKb-mediated phosphorylation of RIPK1 either represses RIPK1 kinase activity or interferes with RIPK1’s ability to bind complex IIb components.
Figure 5. Direct Phosphorylation of RIPK1 by IKKa/IKKb Prevents RIPK1 from Integrating Complex IIb (A–C) Recombinant GST-IKKa, GST-IKKb, or GST-TAB1-TAK1 fusion protein was incubated with a recombinant truncated (GST-RIPK11–479) or full-length (GST-RIPK1FL) form of RIPK1 in a radioactive in vitro kinase assay in the presence of the indicated inhibitors. Phosphorylation was revealed by SDS-PAGE followed by autoradiography. (D–G) MEFs with the indicated genotype (D and E) or Ripk1+/+ MEFs (F and G) were pre-incubated with zVAD-fmk and with the indicated compounds for 30 min and then stimulated with 20 ng/ml hTNF. After 4 hr, complex II was isolated by FADD or caspase-8 immunoprecipitation and RIPK1 binding revealed by immunoblotting. See also Figure S4.
IKKa/IKKb Mediate In Vivo Protection to RIPK1 KinaseDependent Death To test the in vivo relevance of our in vitro findings, we evaluated the contribution of RIPK1 kinase activity to two different mouse models of TNF-induced death. In the first one, we injected Ripk1K45A/K45A and Ripk1+/+ littermates with TNF in association with D-galactosamine. In this well-known model of acute hepatitis, TNF-mediated hepatocyte apoptosis is reported to result from transcriptional inhibition (Decker and Keppler, 1974), thereby affecting the NF-kB pathway downstream of IKKa/ IKKb. In accordance with our in vitro results, we found that Ripk1K45A/K45A mice were not protected from TNF-induced lethality and apoptotic liver damage, as monitored by survival curves, blood levels of aspartate transaminase/alanine transaminase (AST/ALT), caspase-3 activation in the liver by DEVDase assays, and active caspase-3 staining (Figures 6A–6E). Blood levels of lactate dehydrogenase (LDH), a marker of necrosis, were not upregulated by TNF+GalN injection (Figure 6F).
In the next model, we injected Ripk1K45A/K45A and Ripk1+/+ littermates with a sub-lethal dose of TNF (5 mg) in presence or absence of TPCA-1 (10 mg/kg) to inhibit the canonical NF-kB pathway at the level of IKKa/IKKb. Remarkably, while TPCA-1 hadnotoxicity onitsown(FiguresS5AandS5B),itscombination with TNF resulted in the rapid death of all Ripk1+/+, but no Ripk1K45A/K45A, mice (Figure 6G). Accordingly, Ripk1K45A/K45A mice were protected from TNF-induced hypothermia and had no increase in serum levels of ASL/ALT or caspase-3 activation in the liver (Figures 6H–6L). In contrast to TNF+GalN injection, TNF+TPCA-1 led to a substantial increase of LDH levels in the serum that was also absent in Ripk1K45A/K45A mice, suggesting additional necroptosis induction (Figure 6M). Importantly, RIPK1 kinase inhibition by co-administration of Nec-1s (Degterev et al., 2013), a modified and more stable version of Nec-1, in C57BL/6J mice also significantly delayed the death and injury induced by TNF+TPCA-1 injection (Figures S5C–S5I).
Together, these in vivo results demonstrate TNF-mediated RIPK1-independent and RIPK1 kinase-dependent hepatocyte apoptosis in condition of NF-kB inhibition downstream or at the level of IKKa/IKKb, respectively.
Figure 6. IKKa/IKKb Mediate In Vivo Protection to RIPK1 Kinase-Dependent Death (A) Cumulative survival rates of littermate Ripk1+/+ and Ripk1K45A/K45A C57BL/6J females injected with GalN 15 min prior to injection with mTNF (n = 5). (B, C, and F) Blood AST (B), ALT (C), and LDH (F) levels determined 3 hr post-TNF injection (Ripk1+/+ n = 3, and Ripk1K45A/K45A n = 4). (D and E) Caspase-3 activity in liver samples (Ripk1+/+ n = 3, and Ripk1K45A/K45A n = 4) isolated 3 hr post-TNF injection and determined by Ac-DEVD-AMC fluorescence assay (D) or anti-cleaved caspase-3 staining (E). (G) Cumulative survival rates of littermate Ripk1+/+ and Ripk1K45A/K45A C57BL/6J females injected with TPCA-1 20 min prior to injection with mTNF (n = 5). (H) Body temperature as a function of time. (I, J, and M) Blood AST (I), ALT (J), and LDH (M) levels determined 3 hr post-TNF injection (n = 4). (K and L) Caspase-3 activity in liver samples (n = 4) isolated 3 hr post-TNF injection and determined by Ac-DEVD-AMC fluorescence assay (K) or anti-cleaved caspase-3 staining (L). Scale bar, 25 mm. Error bars represent the SEM of the indicated n values. See also Figure S5.
IKKa/IKKb Protect Cells from RIPK1 Kinase-Dependent Necroptosis Independently of NF-kB Our in vivo results suggested that TNF+TPCA-1 additionally induced necroptosis in the injected mice. To test the possibility that IKKa/IKKb also regulates RIPK1 kinase-dependent necroptosis independently of NF-kB, we in vitro stimulated MEFs with TNF+CHX in the presence of the pan caspase inhibitor zVAD-fmk and of TPCA-1. As shown in Figure 7A,TNF-mediated
necroptosis induced by TNF+CHX+zVAD is fully repressed by Nec-1 but still greatly enhanced by additionally inhibiting IKKa/ IKKb with TPCA-1 (Figures 7A and S6A). The mouse fibrosarcoma cell line L929sAhFAS is a prototypic model for necroptosis since these cells succumb by necroptosis upon single TNF stimulation. While inhibiting NF-kB by CHX sensitized these cells to necroptosis, the sensitization was again enhanced when IKKa/ IKKb was additionally inhibited by TPCA-1 (Figures 7B and S6B). Our results therefore demonstrate that IKKa/IKKb prevent RIPK1 kinase-dependent apoptosis and necroptosis downstream of TNFR1 independently of their known function in protecting the cells from death by mediating NF-kB-dependent upregulation of pro-survival/anti-death genes.
RIPK1 kinase-dependent necroptosis relies on the downstream activation of the RIPK3-MLKL pathway (Cho et al., 2009; He et al., 2009; Pasparakis and Vandenabeele, 2015;Sun et al., 2012; Zhang et al., 2009; Zhao et al., 2012). To further characterize the contribution of RIPK3 to the lethality resulting from the in vivo injection of TNF+TPCA-1, we challenged Ripk3+/+ and Ripk3/ littermates with this trigger. Contrary to Ripk1K45A/K45A mice, Ripk3/ mice were greatly, but not entirely, protected from death and hypothermia induced by TNF+TPCA-1 (Figures 7C and 7D). Interestingly, the protection was not originating from the liver, as RIPK3 deficiency did not prevent liver damage (Figures 7E–7H). Instead, RIPK3 deficiency prevented the increased of LDH levels in the blood, resulting from necrosis of undefined organ(s) (Figure 7I). These in vivo results therefore suggest that the lethality induced by TNF+TPCA-1 results from both RIPK1 kinase-dependent apoptosis and necroptosis.
Figure 7. IKKa/IKKb Protect Cells from RIPK1 Kinase-Dependent Necroptosis Independently of NF-kB (A and B) Ripk1+/+ MEFs (A) and L929sAhFas cells (B) were stimulated with hTNF (20 ng/ml in A and 33 pg/ml in B) in the presence of the indicated compounds, and cell death was measured as a function of time by SytoxGreen positivity. (C) Cumulative survival rates of littermate Ripk3+/+ and Ripk3/ C57BL/6J females injected with TPCA-1 20 min prior to injection with mTNF (Ripk3+/+ n = 4, and Ripk3/ n = 7). (D) Body temperature as a function of time. (E, F, and I) Blood AST (E), ALT (F), and LDH (I) levels determined 3 hr post-TNF injection (Ripk3+/+ n = 4, and Ripk3/ n = 3). (G and H) Caspase-3 activity in liver samples (Ripk3+/+ n = 4, and Ripk3/n = 3) isolated 3 hr post-TNF injection and determined by Ac-DEVD-AMC fluorescence assay (G) or anti-cleaved caspase-3 staining (H). Scale bar,25mm.Fortheinvitrocell death results,error bars represent the SEM of three independent experiments. For the in vivo results,error bars represent the SEM of the indicated n values
Sensing of TNF by TNFR1 at the cell surface can paradoxically result in the activation of signaling pathways with opposite consequences: cell survival or cell death. The fact that survival is the dominant outcome in most cell types indicates the existence of molecular mechanisms actively repressing TNFR1-mediated cell death.Two major mechanisms have been reported to control cell death downstream of TNFR1 (O’Donnell and Ting, 2011).The first identified one is well characterized and consists in a relatively slow process involving the NF-kB-dependent induction of pro-survival/anti-death molecules, such as cFLIP (Karin and Lin, 2002; Kreuz et al., 2001; Liu et al., 1996; Micheau et al., 2001; Panayotova-Dimitrova et al., 2013; Van Antwerp et al., 1996; Wang et al., 1998). The second one, which is less understood and more recently reported, is believed to take place at an earlier stage following TNFR1 activation and is shown to be independent of the NF-kB response (Dondelinger et al., 2013; Legarda-Addison et al., 2009; O’Donnell et al., 2007, 2012; Wang et al., 2008). Interestingly, while the first checkpoint regulates slow apoptosis by inhibiting activation of complex IIa (TRADD-FADD-caspase-8), the second one regulates the contribution of RIPK1 to cell death by either preventing RIPK1 from integrating the apoptotic complex IIb (RIPK1-FADD-casapase-8) or by limiting its contribution to the necrosome (RIPK1RIPK3-MLKL) (Cho et al., 2009; He et al., 2009; Sun et al., 2012; Vanlangenakker et al., 2011; Wang et al., 2008; Wilson et al., 2009; Zhang et al., 2009; Zhao et al., 2012). It has long been thought that IKKa/IKKb inhibits TNF-induced cell death through activation of the NF-kB pathway. In this study, we provide evidences that IKKa and IKKb also regulate cell death by direct phosphorylation of RIPK1 at the level of TNFR1 complex I.
TNF-induced RIPK1-dependent apoptosis was first described in conditions affecting cIAP1/cIAP2-mediated RIPK1 ubiquitylation (Bertrand et al., 2008; O’Donnell et al., 2007; Petersen et al., 2007; Wang et al., 2008), which led to the hypothesis that the ubiquitin chains on RIPK1 were directly preventing its binding to FADD, keeping RIPK1 in a survival modus. This‘‘direct’’effect, however, has later been challenged. Binding of the adaptor proteins TABs and NEMO to RIPK1 ubiquitin chains allows recruitment of TAK1 and of IKKa/IKKb to TNFR1 complex I (Ea et al., 2006; Li et al., 2006; Wu et al., 2006), and TAK1 inhibition was shown to result in TNF-mediated RIPK1-dependent apoptosis without affecting RIPK1 ubiquitylation status (Dondelinger et al., 2013). We show here that RIPK1 is phosphorylated in complex I and that affecting RIPK1 ubiquitylation by cIAP1/ cIAP2depletion directlyimpactsitsphosphorylation.Incontrast, TAK1, NEMO, or IKKa/IKKb depletion affects RIPK1 phosphorylation and induces RIPK1-dependent cell death but does not alter its ubiquitylation state in complex I. Together, these results indicate that ubiquitylation and phosphorylation of RIPK1 occur sequentially and that RIPK1 phosphorylation regulates its killing potential. Because activation of the IKK complex lies downstream of TAK1 but upstream of IkBa and p65, our results suggest a model in which IKKa/IKKb constitute the last step in the regulation of the RIPK1 cell death checkpoint (graphical abstract). Indeed, p65 deletion, expression of IkBaSR, or CHX pre-treatment induces TNF-mediated RIPK1-independent apoptosis and does not alter RIPK1 ubiquitylation or phosphorylation in complex I.
RIPK1 enzymatic activity is needed for the integration of RIPK1 to complex IIb and to the necrosome, which respectively drives apoptosis or necroptosis under TNF-stimulated conditions (Cho et al., 2009; Dondelinger et al., 2013; He et al., 2009; Wang et al., 2008). The precise role of RIPK1 kinase activity in these processes remains unclear but may involve autophosphorylation-driven conformational changes allowing increased binding of RIPK1 to the death complex components. The kinase activity of RIPK1 therefore requires active repression to avoid unnecessary cell death. A recent report suggests that RIPK1 phosphorylation on Ser89 suppresses its kinase activity (McQuade et al., 2013). It is therefore tempting to speculate that IKK-mediated phosphorylation of RIPK1 in complex I affects RIPK1 kinase activity. Alternatively, the phosphorylation of RIPK1 by IKKs may directly affect binding of RIPK1 to the death complex components or facilitate its dissociation from complex I. We performed mass spectrometry analysis to identify the residues of RIPK1 phosphorylated by IKKa and IKKb and found several sites, but not Ser89 (Figures S4C and S4D). Unfortunately, we were unable to demonstrate the direct physiological relevance of the identified phosphorylation sites due to the fact that all Ripk1/ reconstituted MEFs, even those with WT RIPK1 (irrespective of RIPK1 expression levels), started to succumb upon single TNF stimulation (data not shown), a problem previously reported (Gentleetal., 2011). The fact that the combined repression of IKKa and IKKb is needed to induce RIPK1 kinase-dependent death, and that the phosphorylation by each kinase results in different RIPK1 mobility shifts when run on gels, may indicate that phosphorylation on several residues is required to negatively regulate RIPK1.
IKKa and IKKb are best known for their roles in NF-kB activation, but NF-kB-independent functions have also been reported, some of which are even implicated in cell fate decisions (Hinz and Scheidereit, 2014). Using pharmacological inhibition of IKKa/IKKb in a p65-deficient background, or together with CHX, we demonstrated an NF-kB-independent function of IKKa/IKKb in protecting cells from TNF-induced RIPK1 kinasedependent apoptosis and necroptosis. In vivo, we demonstrate that TNF induces apoptosis of hepatocytes independently of RIPK1 when the NF-kB pathway is affected downstream of IKKa/IKKb (TNF+GalN). In contrast, pharmacological inhibition of the NF-kB pathway at the level of IKKa/IKKb (TNF+TPCA-1) sensitizesmicetoTNF-inducedshock,whichisaccompaniedby RIPK1 kinase-dependent, but RIPK3-independent, apoptosis of hepatocytes and RIPK1/RIPK3-dependent cellular death, presumably necroptosis, in undefined organs. We can indeed not formally rule out the possibility that the increase in serum LDH levels originates from secondary necrosis of apoptotic cells. Importantly, genetic and chemical inhibition of RIPK1 enzymatic activity protected the mice from TNF-induced cellular damage and death. These results therefore demonstrate the in vivo roles of IKKa/IKKb in protecting cells from RIPK1 kinase-dependent death.
The LUBAC complex, which includes its component Sharpin, is recruited to complex I during TNF signaling, and the inactivating mouse Sharpin cpdm mutation was reported to cause multi-organinflammationresultingfromTNF-mediated RIPK1kinase-dependent death (Berger et al., 2014; Kumari et al., 2014; Rickard et al., 2014). In line with our results, we found that TNF-mediated RIPK1 kinase-dependent death of mouse dermal fibroblasts (MDFs) isolated from Sharpincpdm mice is associated with defective RIPK1 phosphorylation in complex I (Figures S7A and S7B), probably resulting from the altered recruitment of IKK proteins to complex I, as previously reported for other LUBAC components (Haas et al., 2009). The genetic disruption of Nemo, Ikka, Ikkb, orIkka/Ikkb in mice results in early lethality with massive cellular death in several organs, such as the liver, the skin, and, in the case of Ikka//b/ mice, the nervous system (Hu et al., 1999; Li et al., 1999, 2000; Rudolph et al., 2000; Takeda et al., 1999). So far, these phenotypes have exclusively been explained by defects in NF-kB activation, but our study indicates that RIPK1 activation probably contributes to these pathological conditions. In the same line, RIPK1 kinase-dependent apoptosis may drive the spontaneous development of hepatocellular carcinoma observed in mice ablated of Nemo in the liver parenchymal cells (Luedde et al., 2007). Testing the contribution of RIPK1 to those phenotypes is an exciting future challenge, which may open doors for the use of chemical inhibitors of RIPK1 in the treatment of human diseases associated with IKK malfunctions, such as incontinentia pigmenti (Conte et al., 2014).
Translocation of interleukin-1β into a vesicle intermediate in autophagy-mediated secretion
Min Zhang1, Sam Kenny2, Liang Ge1, Ke Xu2 and Randy Schekman1*
eLife 2015;10.7554/eLife.11205 http://dx.doi.org/10.7554/eLife.11205
In this study, we probed the organelle association and molecular requirements for the secretion of one such unconventional cargo protein, IL-1β. Using surrogate cell lines rather than macrophages to reconstitute autophagy-mediated secretion of IL-1β (Figure 1), we find mature IL-1β localized to the lumen of the membrane in early intermediates and mature autophagosomes (Figures 2-4, 6). This surprising location may help to explain how mature IL-1β is secreted in a soluble form to the cell surface (Figure 9C). However, localization to the lumen between the two membranes of the autophagosome would require that IL-1β is translocated from the cytoplasm across the membrane precursor of a phagophore, rather than being engulfed as the phagophore membrane matures by closure into an autophagosome.
The exact route by which the autophagosome delivers mature IL-1β to the cell surface as well as how it avoids fusion with degradative lysosome remains obscure, possibly involving interaction with the multi-vesicular body or some form of lysosome as a prelude to fusion at the cell surface (Figure 9C), and this process may require selective recruitment of membrane sorting and targeting factors such as Rabs and SNAREs.
Recent evidence suggests that autophagy facilitates the unconventional secretion of the pro-inflammatory cytokine interleukin 1β (IL-1β). Here, we reconstituted an autophagy-regulated secretion of mature IL-1β (m-IL-1β) in non-macrophage cells. We found that cytoplasmic IL-1β associates with the autophagosome and m-IL-1β enters into the lumen of a vesicle intermediate but not into the cytoplasmic interior formed by engulfment of the autophagic membrane. In advance of secretion, m-IL-1β appears to be translocated across a membrane in an event that may require m-IL-1β to be unfolded or remain conformationally flexible and is dependent on two KFERQ-like motifs essential for the association of IL-1β with HSP90. A vesicle, possibly a precursor of the phagophore, contains translocated m-IL-1β and later turns into an autophagosome in which m-IL-1β resides within the intermembrane space of the double-membrane structure. Completion of IL-1β secretion requires Golgi reassembly and stacking proteins (GRASPs) and multi-vesicular body (MVB) formation.
Most eukaryotic secretory proteins with an N-terminal signal peptide are delivered through the classical secretion pathway involving an endoplasmic reticulum (ER)-to-Golgi apparatus itinerary (Lee et al., 2004; Schatz and Dobberstein, 1996). However, a substantial number of secretory proteins lack a classical signal peptide, called leaderless cargoes, and are released by unconventional means of secretion (Nickel and Rabouille, 2009; Nickel and Seedorf, 2008). The range of unconventional secretory cargoes encompasses angiogenic growth factors, inflammatory cytokines and extracellular matrix components etc. most of which play essential roles for development, immune surveillance and tissue organization (Nickel, 2003; Rabouille et al., 2012). Unlike a unified route for classical protein secretion, leaderless cargoes undergoing unconventional secretion employ multiple means of protein delivery, the details of which are largely unknown (Ding et al., 2012; Nickel, 2010; Rabouille et al., 2012; Zhang and Schekman, 2013).
IL-1β is one of the most intensely investigated cargoes of unconventional secretion. A biologically inactive 31 kDa precursor, pro-IL-1β, is made following initiation of the NF-κB signaling cascade. Pro-IL-1β is subsequently converted into the active form, the 17 kDa mature IL-1β, by the pro-inflammatory protease caspase-1 which is activated, in response to extracellular stimuli, after its recruitment to a multi-protein complex called the inflammasome (Burns et al., 2003; Cerretti et al., 1992; Rathinam et al., 2012; Thornberry et al., 1992). Interpretation of the mechanism of unconventional secretion of IL-1β is complicated by the fact that one of the physiologic reservoirs of this cytokine, macrophages, undergoes pyroptotic death and cell lysis under conditions of inflammasome activation of caspase-1. Indeed, many reports including two recent publications make the case for cell lysis as a means of release of mature IL-1β (Liu et al., 2014; Shirasaki et al., 2014). In contrast, other reports demonstrate proper secretion of mature IL-1β without cell lysis in, for example, neutrophils, which are nonetheless dependent on the inflammasome response to activate caspase-1 and secrete mature IL-1β (Chen et al., 2014).
Macroautophagy (hereafter autophagy) is a fundamental mechanism for bulk turnover of intracellular components in response to stresses such as starvation, oxidative stress and pathogen invasion (Mizushima and Levine, 2010; Yang and Klionsky, 2010). The process is characterized by the formation of a double-membrane vesicle, called the autophagosome, through the elongation and closure of a cup-shaped membrane precursor, termed the phagophore, to engulf cytoplasmic cargoes (Hamasaki et al., 2013; Lamb et al., 2013). Completion of autophagosome formation requires a sophisticated protein-vesicle network organized by autophagic factors, such as autophagy-related (ATG) proteins, and target membranes (Feng et al., 2014; Mizushima et al., 2011). Besides the degradative function, autophagy or ATG proteins have recently been implicated in multiple secretory pathways including the delivery of leaderless cargoes undergoing unconventional secretion, such as the mammalian pro-inflammatory cytokines IL-1β and IL-18, the nuclear factor HMGB1, and the yeast acyl coenzyme A-binding protein Acb1, to the extracellular space (Bruns et al., 2011; Dupont et al., 2011; Duran et al., 2010; Manjithaya and Subramani, 2011; Pfeffer, 2010; Subramani and Malhotra, 2013). The Golgi reassembly and stacking protein(s) GRASP(s) (GRASP55 and GRASP65 in mammals, dGRASP in Drosophila, GrpA in Dictyostelium and Grh1 in yeast) are required for autophagy-regulated unconventional secretion (Giuliani et al., 2011; Kinseth et al., 2007; Levi and Glick, 2007; Manjithaya et al., 2010).
Dupont et al. (2011) documented a role for autophagy in the secretion of mature IL-1β (Dupont et al., 2011), but how a protein sequestered within an autophagosome could be exported as a soluble protein was unexplained. Here, we sought to understand how conditions of starvation-induced autophagy could localize IL-1β into an autophagosomal membrane. We reconstituted the autophagy-regulated secretion of IL-1β in cultured cell lines and detected a vesicle intermediate, possibly an autophagosome precursor, containing mature IL-1β. Three-dimensional (3D) Stochastic Optical Reconstruction Microscopy (STORM) demonstrated that, after entering into the autophagosome, IL-1β colocalizes with LC3 on the autophagosomal membrane, which, together with an antibody accessibility assay and observations from biochemical assays, implies a topological distribution in the intermembrane space of the autophagosome. This distribution of IL-1β explains the mechanism accounting for its secretion as a soluble protein through either a direct fusion of autophagosome with the plasma membrane or via the MVB pathway. Quite aside from the possible complication of cell lysis, another body of work has suggested an unconventional pathway for the proper secretion of IL-1β. Pro-IL-1β lacks a typical signal peptide and the propeptide is processed in the cytosol rather than the ER (Rubartelli et al., 1990; Singer et al., 1988). Although mature IL-1β appears to be incorporated into a vesicular transport system, secretion is not blocked by Brefeldin A, a drug that blocks the traffic of standard secretory proteins form the Golgi apparatus (Rubartelli et al., 1990). Multiple mechanisms have been implicated in the unconventional secretion of IL-1β, including autophagy, secretory lysosomes, multi-vesicular body (MVB) formation and micro-vesicle shedding (Andrei et al., 1999; Andrei et al., 2004; Brough et al., 2003; Lopez-Castejon and Brough, 2011; MacKenzie et al., 2001; Qu et al., 2007; Verhoef et al., 2003). However, a clear demonstration of the mechanism for the entry of IL-1β into a vesicular carrier, e.g. the autophagosome, is lacking.
Reconstitution of autophagy-regulated IL-1β secretion
A dual effect of autophagy has been proposed on the secretion of IL-1β in macrophages (Deretic et al., 2012; Jiang et al., 2013). On one hand, induction of autophagy directly promotes IL-1β secretion after inflammasome activation by incorporating it into the autophagosomal carrier (Dupont et al., 2011). On the other hand, autophagy indirectly dampens IL-1β secretion by degrading components of the inflammasome as well as reducing endogenous triggers for inflammasome assembly, including reactive oxygen species (ROS) and damaged components, which are required for the activation of caspase-1 and the production of active IL-1β (Harris et al., 2011; Nakahira et al., 2011; Shi et al., 2012; Zhou et al., 2011).
To focus our study specifically on the role of autophagy in IL-1β secretion, we reconstituted a stage of IL-1β secretion downstream of inflammasome activation by co-expressing pro-IL-1β (p-IL-1β) and pro-caspase-1 (p-caspase-1) in non-macrophage cells. As shown in Figure 1A, the generation and secretion (~5%) of mature IL-1β (m-IL-1β) was achieved by co-expression of p-IL-1β and p-caspase-1 in HEK293T cells. Mature IL-1β was not produced or secreted without p-caspase-1, whereas a low level of secreted p-IL-1β (~0.2%) was detected with or without the expression of p-caspase-1. Furthermore, little cell lysis occurred during the treatment we used to induce IL-1β secretion: Much less precursor than mature IL-1β and little cytoplasmic tubulin was detected released into the cell supernatant during the 2 h incubation in starvation medium (Figure 1A). Starvation, a condition that stimulates autophagy, enhanced IL-1β secretion (~3 fold) and reduced the level of IL-1β in the cell lysates (Figure 1A, B). Inhibition of autophagy by the phosphatidylinositol 3-kinase (PI3K) inhibitors 3-methyladenine (3-MA) or wortmannin (Wtm) blocked IL-1β secretion activated by starvation and caused the accumulation of mature IL-1β in the cell (Figure 1B). Likewise, in an autophagy-deficient cell line, Atg5 knockout (KO) mouse embryo fibroblasts (MEFs) (Mizushima et al., 2001), IL-1β secretion was reduced and failed to respond to starvation (Figure 1C). Moreover, IL-1β secretion was also inhibited in a dose-dependent manner in the presence of an ATG4B mutant (C74A) (Fujita et al., 2008), or after the depletion of ATG2A and B (Velikkakath et al., 2012), or FIP200 (Hara et al., 2008), which block autophagosome biogenesis at different stages (Figure 1D-F). Therefore, the reconstituted system recapitulates the autophagy-regulated secretion of IL-1β.
In macrophages, MVB formation and GRASP proteins are required for IL-1β secretion (Dupont et al., 2011; Qu et al., 2007). Inhibiting MVB formation by depletion of the ESCRT components, hepatocyte growth factor receptor substrate (Hrs) or TSG101, compromised secretion of IL-1β and CD63, an exosome marker (Figure 1-figure supplement 1A). Knockdown of the GRASP55 or GRASP65 also led to the reduction of IL-1β secretion (Figure 1- figure supplement 1B). Therefore, in addition to functions required for autophagy, the secretion of IL-1β in HEK293T cells depends on GRASP proteins and at least two proteins implicated in MVB formation, as reported previously (Dupont et al., 2011; Qu et al., 2007).
Figure 1 Reconstitution of autophagy-regulated IL-1β secretion in cultured cells (A) Reconstitution of starvation-induced IL-1β secretion in HEK293T cells. HEK293T cells were transfected with a single plasmid encoding p-IL-1β or together with the p-caspase-1 plasmid. After transfection (24 h), the cells were either treated in regular (DMEM) or starvation (EBSS) medium for 2 h. The medium and cells were collected separately and immunoblot was performed to determine the level of indicated proteins. (B) PI3K inhibitors 3-methyladenine (3-MA) or wortmannin (Wtm) inhibit IL-1β secretion. HEK293T cells transfected with p-IL-1β and p-caspase-1 plasmids were cultured in DMEM, EBSS, or EBSS containing 10 mM 3-MA or 20 nM wortmannin for 2 h. The medium and cells were collected separately and immunoblot was performed as shown in (A). (C) IL-1β secretion is blocked in Atg5 KO MEFs. Control WT or Atg5 KO MEFs were transfected with p-IL-1β and p-caspase-1 plasmids. After transfection (24 h), the cells were either cultured in DMEM or EBSS for 2 h followed by immunoblot as shown in (A). (D) IL-1β secretion is inhibited by the ATG4B mutant (C74A). HEK293T cells were transfected with plasmids encoding p-IL-1β, p-caspase-1 and different amounts of ATG4B (C74A) plasmid DNA as indicated. After transfection (24 h), cells were starved in EBSS for 2 h followed by immunoblot as shown in (A). (E) Knockdown of Atg2 reduces IL-1β secretion. HEK293T cells were transfected with control siRNA or siRNAs against Atg2A, Atg2B alone or both. After transfection (48 h), the cells were transfected with p-IL-1β and p-caspase-1 plasmids. After another 24 h, the cells were starved in EBSS for 2 h followed by immunoblot as shown in (A). (F) Knockdown of FIP200 reduces IL-1β secretion. HEK293T cells were transfected with control siRNA or FIP200 siRNA. IL-1β secretion under starvation conditions was determined as shown in (E). Quantification of IL-1β secretion was calculated as the ratio between the amount of IL-1β in the medium and the total amount (the sum of IL-1β in both medium and lysate).
Figure 1- figure supplement 1 Depletion of ESCRT or GRASPs affects IL-1β secretion HEK293T cells were transfected with indicated siRNAs (Hrs (ESCRT-0) (A), Tsg101 (ESCRT-I) (A), GRASP55 (B) or GRASP65 (B)). After transfection (48 h), the cells were transfected with p-IL-1β and p-caspase-1 plasmids. After another 24 h, the cells were starved in EBSS for 2 h followed by immunoblot as shown in Figure 1A. Quantification of IL-1β secretion was calculated as the ratio between the amount of IL-1β in the medium and the total amount (the sum of IL-1β in both medium and lysate).
IL-1β transits through an autophagosomal carrier during secretion.
To study if autophagy directly regulates IL-1β secretion, we employed a three-step membrane fractionation procedure as described previously (Figure 2A)(Ge et al., 2013). We first performed a differential centrifugation to obtain 3k, 25k and 100k membrane pellet fractions. Both IL-1β and the lipidated form of LC3 (LC3-II), a protein marker of autophagosome, were mainly enriched in the 25k membrane fraction (Figure 2B). We then separated the 25k membrane through a sucrose step gradient ultracentrifugation where both IL-1β and LC3-II co-distributed in the L fraction at the boundary between 0.25 M and 1.1 M layer of sucrose (Figure 2B). Further fractionation of the L fraction using an OptiPrep gradient showed co-fractionation of IL-1β with LC3-II (Figure 2C). To confirm the presence of IL-1β in the autophagosome, we performed immunoisolation of LC3-positive autophagosomes from the 25k fraction and found that IL-1β, especially the mature form, co-sedimented with autophagosomes (Figure 2D). Consistent with our observations, a recent study also showed a colocalization of IL-1β and LC3 in the form of puncta in macrophages (Dupont et al., 2011). These data demonstrate that at least a fraction of intracellular mature IL-1β associates with the autophagosome, possibly related to its role in IL-1β secretion.
Figure 2 IL-1β vesicles co-fractionate with LC3 vesicles (A) Membrane fractionation scheme. Briefly, HEK293T cells transfected with p-IL-1β and p-caspase-1 plasmids were starved in EBSS for 2 h, collected and homogenized. Cell lysates were subjected to differential centrifugations at 3,000×g (3k), 25,000×g (25k) and 100,000×g (100k). The level of IL-1β in each membrane fraction was determined by immunoblot. The 25k pellet, in which IL-1β was mainly enriched, was selected and a sucrose gradient ultracentrifugation was performed to separate membranes in the 25k pellet to the L (light) and P (pellet) fractions. The L fraction, which contained the majority of IL-1β, was further resolved on an OptiPrep gradient after which ten fractions from the top were collected. (B, C) Immunoblot was performed to examine the distribution of IL-1β, LC3 as well as the indicated membrane markers in the indicated membrane fractions. T, top; B, bottom (D) HEK293T cells transfected with p-IL-1β, p-caspase-1 and FLAG-tagged LC3-I plasmids were starved in EBSS for 2 h. LC3 positive membranes were immunoisolated with anti-FLAG agarose from the 25k pellet and the presence of IL-1β was determined by immunoblot analysis. FT, flowthrough.
To determine if IL-1β is localized to the phagophore in the absence of autophagosome completion, we fractionated membranes from ATG2-depleted cells, which are deficient in phagophore elongation and therefore fail to form mature autophagosomes (Velikkakath et al., 2012), and examined the distribution of LC3-II, which remains attached to immature phagophore membranes, and mature and precursor IL-1β. We performed the three-step fractionation described above. In control cells, IL-1β co-distributed with LC3-II in all three steps (Figure 3). Depletion of ATG2 did not affect the co-fractionation of IL-1β and LC3-II (Figure 3), indicating that IL-1β enters into the phagophore membrane before the completion of the autophagosome.
Figure 3 IL-1β co-distributes with LC3 in Atg2-depleted cells (A) HEK293T cells were transfected with siRNAs against Atg2A and Atg2B followed with p-IL-1β and 739 p-caspase-1 plasmids as shown in Figure 1E. The cells were starved in EBSS for 2 h. Membrane fractions (3k, 25k, 100k (×g), L and P) were separated from the post-nuclear supernatant as depicted in Figure 2B. (B) Ten membrane fractions were collected from the OptiPrep gradient ultracentrifugation as depicted in Figure 2C. Immunoblot was performed to examine the distribution of IL-1β, LC3 as well as the indicated membrane markers. T, top; B, bottom.
Autophagosome formation is not required for entry of IL-1β into vesicles
We asked how IL-1β enters into the autophagosome. One possibility is engulfment through the closure of the phagophore membrane during autophagosome maturation as in the capture of autophagic cargo. In this scenario, closure of the phagophore to complete autophagosome formation would be required to sequester IL-1β away from the cytoplasm. Alternatively, we considered the possibility that IL-1β may be translocated through a membrane into the lumen of the phagophore envelope and be sequestered from the cytoplasm even before the mature autophagosome is sealed. To test this possibility, we performed proteinase K protection experiments with the membranes from ATG2-depleted cells (Figure 4A). In control cells, p62 (an autophagic cargo) and a fraction of LC3-II (which was encapsulated after autophagosome completion), as well as mature IL-1β, were largely resistant to proteinase K digestion similar to the ER luminal protein, protein disulfide isomerase (PDI). In contrast, SEC22B, a membrane anchored SNARE protein exposed to the cytoplasm, was sensitive to proteinase K digestion (Figure 4A). Triton X-100 treatment permeabilized the membrane and rendered all proteins tested sensitive to proteinase K digestion (Figure 4A). This demonstrated that the majority of membrane localized IL-1β was sequestered within an organelle, likely the autophagosome, as demonstrated by the fractionation results of Figures 2 and 3. However, the result did not pinpoint where within the autophagosome IL-1β was housed. In ATG2-depleted cells, p62 and LC3-II remained sensitive to proteinase K digestion, consistent with the hypothesis that ATG2 is essential for maturation and closure of the autophagosome (Figure 4A). However, in the same samples the majority of IL-1β resisted degradation by proteinase K treatment (Figure 4A), except on addition of Triton X-100 to permeabilize membranes. Although the precursor form of IL-1β remained associated with isolated autophagosome and phagophore membranes (Figure 3), the protein was degraded when membranes from normal and ATG2-depleted cells were treated with protease in the presence or absence of Triton X-100 (data not shown). Thus, the mature but not the precursor IL-1β appears to be transported into the phagophore.
A most recent study showed that small, closed double-membrane structures could be observed in ATG2-depleted cells (Kishi-Itakura et al., 2014). To rule out the possibility that IL-1β was engulfed by the small closed autophagosomes, we employed Atg5 KO MEFs in which the phagophore could not be closed (Kishi-Itakura et al., 2014; Mizushima et al., 2001). Similar to what we observed in ATG2-depleted cells, IL-1β was protected from proteinase K digestion in membranes from Atg5 KO MEFs (Figure 4B). In addition, IL-1β was sequestered within vesicles in FIP200 (another early factor in phagophore development (Hara et al., 2008)) knockdown cells (Figure 4C). These data indicate that the entry of IL-1β into the vesicle carrier is not dependent on the formation of the autophagosome. These results are inconsistent with a role for engulfment of IL-1β by the maturing phagophore and suggest instead that IL-1β may be translocated across a membrane into a vesicle precursor of the phagophore, possibly at a very early stage in the development of the organelle.
Figure 4 Closure of the autophagosome is not required for the entry of IL-1β into vesicles (A) HEK293T cells were transfected with siRNAs against Atg2A and Atg2B followed by transfection with p-IL-1β and p-caspase-1 plasmids as shown in Figure 1E. The cells were starved in EBSS for 2 h and proteinase K digestion was performed with the 25k membrane fractions. (B) Atg5 WT, KO MEFs were transfected with p-IL-1β and p-caspase-1 plasmids as shown in Figure 1B. The cells were starved in EBSS for 2 h followed by proteinase K digestion as shown in (A). 752 (C) HEK293T cells were transfected with siRNA against FIP200 followed by analysis of membrane entry of 753 IL-1β as shown in (A). The level of proteinase K protection was calculated as the percentage of the total protein. Error bars represent standard deviations of at least three experiments.
Entry of IL-1β into the vesicle carrier requires protein conformational flexibility
We then sought to test if IL-1β could directly translocate across the membrane of a vesicle carrier. As protein unfolding is usually required for protein translocation, we adopted an approach used in many other circumstances wherein a targeted protein is fused to dihydrofolate reductase (DHFR), an enzyme whose three-dimensional structure is stabilized by the folate derivative aminopterin, hence providing a chemical ligand to impede the unfolding process (Backhaus et al., 2004; Eilers and Schatz, 1986; Wienhues et al., 1991). We first determined the secretion of the DHFR-fused IL-1β. As shown in Figure 5A, secretion of a mature IL-1β-DHFR fusion protein was enhanced by starvation similar to the untagged counterpart. Importantly, IL-1β-DHFR secretion was reduced in a dose-dependent manner in the presence of aminopterin (Figure 5B). Of notice, treatment of aminopterin did not completely abolish IL-1β secretion perhaps due to a cell death-induced release of IL-1β at high concentrations of aminopterin, as indicated by the release of a low level of tubulin into the medium fraction (Figure 5B). As a control, aminopterin did not reduce the secretion of untagged IL-1β, confirming its specific effect on DHFR (Figure 5- figure supplement 1). Fractionation of cells 185 incubated with aminopterin showed a reduced level of IL-1β in the membrane fraction with a corresponding 186 increase in the cytosol fraction (Figure 5C). The residual DHFR-tagged IL-1β associated with membranes from aminopterin-treated cells was sensitive to proteinase K digestion (Figure 5D), indicating that this pool of membrane-associated IL-1β did not translocate into the lumen of the vesicle. The data suggest that entry of IL-1β into a vesicle carrier involves a process of protein unfolding and translocation.
Figure 5 Protein unfolding is required for the entry of IL-1β into vesicles (A) Secretion of DHFR-tagged IL-1β. HEK293T cells were transfected with p-IL-1β-DHFR and p-caspase-1 plasmids. After transfection (24 h), the cells were treated with DMEM or EBSS for 2 h. Release of IL-1β was determined as shown in Figure 1. (B) Secretion of IL-1β-DHFR was inhibited by aminopterin. HEK293T cells were transfected with p-IL-1β-DHFR and p-caspase-1 plasmids. After transfection (24 h), the cells were treated with EBSS, or EBSS containing different concentrations of aminopterin as indicated for 15 min followed by determination of IL-1β secretion as shown in (A). Quantification of IL-1β secretion was calculated as the ratio between the amount of IL-1β in the medium and the total amount (the sum of IL-1β in both medium and lysate). (C) Less IL-1β enters into membrane in the presence of aminopterin. HEK293T cells were transfected with p-IL-1β-DHFR and p-caspase-1 plasmids. After transfection (24 h), the cells were either untreated or treated with 5 μM aminopterin in EBSS for 2 h. The membrane fraction was collected from the top fractions of a Nycodenz density gradient resolved from membranes in a 25k pellet as described in Material and Methods. The cytosolic fraction was collected as the supernatant after 100k×g centrifugation. All fractions were analyzed by immunoblotting using indicated antibodies. (D) IL-1β-DHFR is not protected from proteinase K in the presence of aminopterin. Nycodenz -floated membrane fraction collected as shown in (C) was subjected to proteinase K digestion and then analyzed by immunoblotting using indicated antibodies.
Figure 5- figure supplement 1 Secretion of IL-1β is not affected by aminopterin HEK293T cells were transfected with p-IL-1β and p-caspase-1 plasmids. After transfection (24 h), the cells were treated with EBSS, or EBSS containing different concentrations of aminopterin as indicated for 15 min followed by determination of IL-1β secretion as shown in Figure 1 (A).
IL-1β colocalizes with LC3 on the autophagosome envelope
If IL-1β is directly translocated across the membrane of a vesicle intermediate, fusion of these vesicles to form a double-membrane autophagosome would deposit IL-1β in the lumen between the two membranes of the autophagosome. To visualize the subcellular localization of IL-1β, we employed U2OS cells, which formed 194 large and distinct autophagosomes after starvation. U2OS cells co-expressing p-IL-1β and p-caspase-1 secreted IL-1β in a starvation-enhanced and PI3K-dependent manner similar to HEK293T cells (Figure 6- figure supplement 1). To prepare for the subsequent fluorescence imaging, we also employed a FLAG-tagged m-IL-1β, which allowed us to directly determine the topological localization of the m-IL-1β. Secretion of m-IL-1β-FLAG from U2OS cells was stimulated by starvation and dependent on PI3K (Figure 6- figure supplement 1).
To determine the topological distribution of IL-1β, we first performed confocal immunofluorescence labeling experiments. After starvation, cells were exposed to 40 μg/ml of digitonin to permeabilize the plasma membrane, harvested and washed with cold PBS to remove the excess cytosolic m-IL-1β-FLAG. In cells expressing either p-IL-1β and p-caspase-1, or m-IL-1β alone, LC3 and IL-1β were observed by confocal microscopy to localize together or adjacent to one another on the edge of ring-shaped autophagosomes (Figure 6- figure supplement 2). To further resolve these ring structures, we employed 3D STORM (Huang et al., 2008; Rust et al., 2006) super-resolution microscopy (Hell, 2007; Huang et al., 2010) (Figure 6 and Figure 6- figure supplements 3, 4 and Videos 1 and 2). Ring-shaped autophagosomes positive for LC3 (cyan) formed after starvation. Some IL-1β (magenta) also organized in ring-shaped structures that co-localized with LC3 (Figure 6 and Figure 6- figure supplement 3). Around 18 ring structures of IL-1β accounting for ~5% of the total IL-1β signal were observed in each cell. A 3D virtual Z-stack analysis confirmed the spatial co-distribution of LC3 and IL-1β on a ball-shaped vesicle (Video 1 and 2). The diameter of the structures double-labeled with LC3 and IL-1β are ~700 nm (larger structures up to 2 μm in diameter were also found) which is comparable to the size of the autophagosome. Occasionally, we also found IL-1β localized in the center of the ring structure, where cytoplasmic autophagic cargoes fill, surrounded by LC3 (Figure 6-figure supplement 4). This portion of IL-1β was possibly being engulfed by the autophagosome.
The visual detection of IL-1β localized to ring-shaped autophagosomes is consistent with our biochemical assays that place IL-1β in the intermembrane space between the outer and inner membrane of the autophagosome. We devised a further visual test of this conclusion using selective permeabilization of cell surface and intracellular membranes with digitonin and saponin, respectively (Figure 6-figure supplement 5). We compared antibody accessibility to IL-1β and DFCP1, a marker located on the cytosolic surface of the omegasome (a harbor for the phagophore) in both WT and Atg5 KO cells. Consistent with a cytosolic surface localization, DFCP1 was readily labeled in cells treated with digitonin alone (selectively permeabilizes the plasma membrane) in both WT and Atg5 KO cells (Figure 6-figure supplement 5A-E). In contrast, IL-1β was accessible to the antibody only after treatment with digitonin and saponin (gently permeabilizes the endomembrane) (Figure 6-figure supplement 5A, B and F) in WT cells. This by itself would not distinguish localization of IL-1β to the intermembrane space vs the cytoplasmic enclosed space of a mature autophagosome. However, in Atg5 KO cells where the phagophore precursor envelope remains open and exposed to the cytosol, saponin treatment was necessary to expose IL-1β to antibody and roughly half of the labeled structures coincided with the phagophore marker DFCP1 (Figure 6-figure supplement 5C, D and F). This visual assay further confirms the intermembrane localization of IL-1β in the phagophore and 231 autophagosome.
Figure 6 Topological localization of IL-1β in the autophagosomal carrier determined by STORM U2OS cells were transfected with a plasmid containing the expression cassette of FLAG-tagged mature IL-1β (m-IL-1β-FLAG). After transfection (24 h), the cells were starved in EBSS for 1 h followed by immunofluorescence labeling with mouse monoclonal anti-LC3 and rabbit polyclonal anti-FLAG antibodies. STORM analysis imaging and data analysis were performed as described in Materials and Methods. Cyan, LC3; Magenta, IL-1β; Bars: 2 μm (original image) and 500 nm (magnified inset)
Figure 6- figure supplement 1 Secretion of IL-1β in U2OS cells 795 U2OS cells were transfected with plasmids encoding the p-IL-1β and p-caspase-1 (first 4 lanes) or m-IL-1β-FLAG (last 4 lanes). After transfection (24 h), the cells were untreated or starved in the absence or presence of indicated PI3K inhibitors (3-MA or wortmannin (Wtm)) followed by measurement of secretion as indicated in Figure 1 (A) and (B). α-m-IL-1β, IL-1b antibody; α-FLAG, FLAG antibody
Figure 6- figure supplement 2 Localization of IL-1β determined by confocal microscopy U2OS cells were transfected with plasmids encoding the p-IL-1β and p-caspase-1 (A) or m-IL-1β-FLAG (B). After transfection (24 h), the cells were starved for 1 h followed by immunofluorescence labeling and confocal 804 microscopy analysis. Bar: 10 μm
Figure 6- figure supplement 3 Extra images for Figure 6 Bars: 2 μm (original image) and 500 nm (magnified inset)
Figure 6- figure supplement 4 A minority of IL-1β engulfed by autophagosome U2OS cells were transfected and treated followed by STORM analysis as shown in Figure 6. Arrow head points to the autophagosome with engulfed IL-1β. Bar: 2 μm
Figure 6- figure supplement 5 Determination of the topological localization of IL-1β in the autophagosome and phagophore (A, C) Diagrams of autophagosome (A)/phagophore (B) and omegasome, antibody accessibility for each possible situation of IL-1β localization, and summaries of the antibody accessibility of m-IL-1β-FLAG (red) and EGFP-DFCP1 (green) are illustrated. (B, D) U2OS cells (B) and Atg5 KO MEFs (D) were transfected with plasmids encoding the m-IL-1β-FLAG and EGFP-DFCP1. After transfection (24 h), the cells were starved in EBSS for 1 h followed by digitonin treatment and fixation (see Materials and Methods). The cells were either labeled with anti-FLAG (to label IL-1β) and anti-EGFP (to label EGFP-DFCP1) antibodies (Digitonin) or further treated with Saponin followed by antibody labeling (Digitonin+Saponin). Images were acquired by confocal microscopy. Bar: 10 μm 825 (E) Quantification of the percentage of EGFP-DFCP1 labeled by EGFP antibody. Percentage was counted by 826 the ratio of puncta numbers of antibody labeled EGFP-DFCP1 and EGFP-DFCP1 according to the EGFP signal. Error bars are standard deviations of more than 50 cells in two independent experiments. (F) Quantification of the puncta number for m-IL-1β-FLAG puncta (red) and those colocalized with DFCP1 (yellow). Error bars are standard deviations of more than 50 cells in two independent experiments.
Video 1 832 3D section of the magnified structure in Figure 6 (upper one) 833 The virtual Z-section thickness is 150 nm, and the step size is 50 nm. Cyan, LC3; Magenta, IL-1β; Bar 500 nm 834 835 Video 2 836 3D section of the magnified structure in Figure 6 (lower one) 837 The virtual Z-section thickness is 150 nm, and the step size is 50 nm. Cyan, LC3; Magenta, IL-1β; Bar 500 nm
Two KFERQ-like motifs are required for the entry of IL-1β into the vesicle carrier
In chaperone-mediated autophagy (CMA), cargoes are recognized by a KFERQ sequence motif for transport into the lysosome (Dice et al., 1986; Kaushik and Cuervo, 2012). We analyzed the primary sequence of IL-1β and found three KFERQ-like motifs on IL-1β including 127LRDEQ131, 132QKSLV136 and 198QLESV202 (Figure 7A). We mutated the glutamine, which has been shown to be essential for the function of the motif, as well as an adjacent amino acid in each motif (E130Q131, Q132K133 and Q198L199) to alanines and examined the secretion efficiency of these mutants. The 130-131AA mutant did not affect secretion of IL-1β (Figure 7B). However, the Q132K133 and Q198L199 mutations were both defective in secretion of mature IL-1β which instead accumulated in the cytoplasmic fraction (Figure 7B). A low level of release of the pro-forms persisted as seen with WT and mutant protein (Figure 7B). The cytoplasmic mature forms of the mutant proteins were less abundant in the membrane fraction compared with the WT mature IL-1β (Figure 7C, compare the lanes without proteinase K treatment). In addition, the membrane associated mutant IL-1β remained proteinase K accessible (less than 10% of protection compared with ~45% of WT IL-1β), demonstrating that these two KFERQ-like motifs are required for the membrane translocation of IL-1β (Figure 7C). Equal amounts of WT and mutant p-IL-1β associated with the membrane but both remained largely proteinase K accessible (Figure 7C).
Figure 7 Mutation of the KFERQ-like motif affects IL-1β secretion and entry into vesicles (A) Protein sequence of IL-1β. The yellow region indicates mature IL-1β. Three KFERQ-like motifs (aa127-131, aa132-136 and aa198-202) are highlighted in red underlined bold. (B) Secretion of IL-1β mutants. HEK293T cells were transfected with p-IL-1β-DHFR and p-caspase-1 plasmids. After transfection (24 h), the cells were either treated with DMEM or EBSS for 2 h. Secretion of 845 IL-1β mutant proteins was detected by immunoblot. (C) IL-1β mutant 132-133AA or 198-199AA is accessible to proteinase K digestion. HEK293T cells were transfected with plasmids encoding p-caspase-1 and IL-1β mutant 132-133AA or 198-199AA. After transfection (24 h), the cells were treated with EBSS for 2 h. The 25k membrane fraction was collected and subjected to proteinase K digestion assay and then analyzed by immunoblot using indicated antibodies. The level of proteinase K protection was calculated as the percentage of the total protein. Error bars represent standard deviations of at least three experiments.
HSP90 is required for the entry of IL-1β into the vesicle intermediate
The chaperone protein HSC70 and HSP90 have been reported to function in chaperone-mediated autophagy (CMA) (Kaushik and Cuervo, 2012; Majeski and Dice, 2004). HSP70 has also been implicated in autophagy and stress responses (Murphy, 2013). We performed shRNA-mediated knockdown of the three chaperone proteins to assess their potential role in the membrane translocation of IL-1β. Knockdown of Hsp90, but not of Hsp70 or Hsc70 substantially reduced IL-1β secretion (Figure 8A). As a control, knockdown of Hsc70 compromised CMA as indicated by the stabilization of a CMA cargo, GAPDH (Figure 8-figure supplement 1A). Moreover, secretion of mature IL-1β was inhibited in a dose-dependent manner by an HSP90 inhibitor geldanamycin (Figure 8B). In both experiments, mature IL-1β accumulated in the cytosol fraction at the expense of secretion. Knockdown of Hsp90 also rendered IL-1β accessible to proteinase K digestion (Figure 8C), consistent with a role for HSP90 in the translocation of IL-1β as opposed to some later secretion event. Furthermore, in a co-immunoprecipitation assay, HSP90 associated with m-IL-1β but not the translocation-deficient mutants Q132K133 and Q198L199 (Figure 8D). Although p-IL-1β also formed a complex with HSP90, the efficiency appeared lower than for m-IL-1β. These results suggest that HSP90 binds to a region of the mature IL-1β, including the essential residues Q132K133 and Q198L199, to promote the translocation event. Cleavage of p-IL-1β by caspase-1 may potentiate the recruitment of HSP90 to the mature form of IL-1β however chaperone binding is not required for this proteolytic event (Figures 8D and 7B).
In the CMA pathway, HSC70 and HSP90 play different roles. HSC70 binds to cargoes and delivers them into 266 the lysosome as well as disassembling LAMP2A oligomers, whereas HSP90 is required for the oligomerization and stability of LAMP2A (Bandyopadhyay et al., 2008; Chiang et al., 1989). Co-immunoprecipitation indicated that IL-1β associates with HSP90 but not HSC70 (Figure 8-figure supplement 1B). In addition, knockdown of Lamp2A compromised CMA but did not affect the secretion of IL-1β, and disruption of the lysosome did not result in the release of IL-1β from the membrane carrier (Figure 8-figure supplement 1C-E). These data suggest that the translocation of IL-1β into the vesicle carrier is mechanistically distinct from CMA.
Figure 8 HSP90 is involved in the entry of IL-1β into vesicles (A) Knockdown of Hsp90 inhibits IL-1β secretion. HEK293T cells were transduced with lentivirus carrying control (Ctrl) shRNA or shRNA against Hsc70, Hsp90 or Hsp70. Then the cells were transfected with p-IL-1β and p-caspase-1 plasmids. After transfection (24 h), the cells were cultured in EBSS for 2 h followed by determination of IL-1β secretion by immunoblot. (B) IL-1β secretion is reduced in the presence of HSP90 inhibitor geldanamycin. HEK293T cells were transfected with p-IL-1β and p-caspase-1 plasmids. After transfection (24 h), the cells were treated with EBSS containing different concentrations of geldanamycin as indicated. Immunoblot was performed as shown in Figure 1. Quantification of IL-1β secretion was calculated as the ratio between the amount of IL-1β in the medium and the total amount (the sum of IL-1β in both medium and lysate). (C) IL-1β remains accessible to proteinase K in Hsp90 knockdown cells. HEK293T cells were transduced with lentivirus carrying control (Ctrl) shRNA or shRNA against Hsp90. Then the cells were transfected with p-IL-1β and p-caspase-1 plasmids. After transfection (24 h), the cells were cultured in EBSS for 2 h. The 25k membrane fraction was collected and digested with proteinase K and then analyzed by immunoblotting using indicated antibodies. (D) Association of HSP90 with IL-1β WT and mutants. HEK293T cells transfected with p-caspase-1 and IL-1β mutant 132-133AA or 198-199AA were starved in EBSS for 2 h. Immunoprecipitation (IP) with anti-HSP90 antibody coupled to protein G-agarose was performed, followed by an immunoblot with anti-IL-1β and anti-HSP90 antibodies.
Figure 8- figure supplement 1 Translocation of IL-1β is mechanistically different from CMA (A) Knockdown of Hsc70 reduces CMA. HEK293T cells transduced with lentivirus carrying control (Ctrl) shRNA or shRNA against Hsc70 were incubated with regular medium (-CMA) or DMEM (+CMA) in the presence of 20 μg/ml cycloheximide for 24 h. The cells were lysed and analyzed by immunoblotting using indicated antibodies. For quantification, the ratio of GAPDH and tubulin was calculated and normalized by that in control (-CMA) treatment which was set as one. (B) Co-immunoprecipitation of HSC70 or HSP90 with IL-1β. HEK293T cells transfected with m-IL-1β-FLAG were starved in EBSS for 2 h. Immunoprecipitation (IP) with anti-HSC70 or anti-HSP90 antibody coupled to protein A/G-agarose was performed, followed by an immunoblot with indicated antibodies. (C) Knockdown of Lamp2 blocks CMA. HEK293T cells were transfected with control or LAMP2 siRNA. After transfection (48 h), the cells were trypsinized and plated. After 24 h, siRNA transfection was repeated. After another 48 h, the cells were trypsinized and plated. After 24 h, the cells were incubated with regular medium (-CMA) or DMEM (+CMA) in the presence of 20 μg/ml cycloheximide for 24 h. The cells were lysed and analyzed by immunoblotting using indicated antibodies. For quantification, the ratio of GAPDH and Tubulin was calculated and normalized by that in control (-CMA) treatment which was set as one. (D) Knockdown of LAMP2 does not affect IL-1β secretion. HEK293T cells were transfected with control or LAMP2 siRNA as show in (C). After the second siRNA transfection (24h), the cells were transfected with m-IL-1β-FLAG plasmid. After transfection (24 h), the cells were either cultured in DMEM or EBSS for 2 h followed by determination of IL-1β secretion by immunoblot as shown in Figure 1A. Quantification of IL-1β secretion was calculated as the ratio between the amount of IL-1β in the medium and the total amount (the sum of IL-1β in both medium and lysate). (E) Level of IL-1β in the membrane fraction was not affected by lysosome disruption. HEK293T cells 897 transfected with m-IL-1β were cultured in EBSS for 2 h and then treated with DMSO or 0.5 mM glycyl-L-phenylalanine-2-naphthylamide (GPN) for 10 min. The membrane fraction was collected from the top fractions of a Nycodenz density gradient resolved from membranes in a 25k pellet as described in Material and Methods. Both membrane fraction and cell lysis were analyzed by immunoblotting using indicated antibodies.
We next asked if starvation regulated the association between HSP90 and IL-1β. We performed an HSP90 co-immunoprecipitation experiment with cytosol prepared from cells grown in nutrient-rich or starvation conditions (Figure 9A). Starvation led to a ~2.5 fold increase of the association of HSP90 and IL-1β (Figure 9A). This increase was likely not due to starvation-stimulated processing of p-IL-1β because starvation had no effect on the cleavage of mutant forms of IL-1β unable to bind HSP90 (Figure 7B). Starvation led to a ~ 2 fold increase in the membrane localization and cytosolic depletion of mature IL-1β (Figure 9B). Starvation may stimulate the recruitment of a complex of m-IL-1β/HSP90 to the membrane responsible for IL-1β translocation (Figure 9B).
Figure 9 Induction of autophagy enhances the membrane incorporation of IL-1β (A) Starvation enhances the association of IL-1β with HSP90. HEK293T cells transfected with p-IL-1β and p-caspase-1 were cultured in DMEM or EBSS for 2 h. Immunoprecipitation with anti-HSP90 antibody was performed followed by an immunoblot with anti-IL-1β and anti-HSP90 antibodies. (B) Starvation promotes the entry of IL-1β into the membrane fraction. HEK293T cells transfected with p-IL-1β and p-caspase-1 were cultured in DMEM or EBSS for 2 h. The membrane fraction was collected from the top fractions of a Nycodenz density gradient resolved from membranes in a 25k pellet as described in Material and Methods. The cytosolic fraction was collected as the supernatant after 100k×g centrifugation. Immunoblot was performed to determine the levels of IL-1β in both fractions. (C) A proposed model for autophagy-mediated IL-1β secretion. Cytosolic IL-1β associates with HSP90 which facilitates the translocation of IL-1β into the lumen of a vesicle carrier which later either turns into a phagophore and an autophagosome or fuses with them. IL-1β localizes between the outer and inner membrane after the double membrane autophagosome forms. The topological distribution ensures the secretion of IL-1β in a soluble form. The IL-1β-containing autophagosome may directly fuse with the plasma membrane or further fuse with a MVB followed by fusion with the plasma membrane.
Genetic and cell biological studies have implicated autophagy in the transport of several leaderless cargoes to the extracellular space (Bruns et al., 2011; Dupont et al., 2011; Duran et al., 2010; Manjithaya et al., 2010). Unconventional secretory cargoes, such as IL-1β and Acb1, have been shown to have overlapping requirements with formation of the autophagosome or its precursor suggesting that the autophagosome may physically convey these cargo proteins to the cell surface. A key question is if and how these cargoes engage the autophagosome and how this structure exports soluble cargo molecules. In this study, we probed the organelle association and molecular requirements for the secretion of one such unconventional cargo protein, IL-1β. Using surrogate cell lines rather than macrophages to reconstitute autophagy-mediated secretion of IL-1β (Figure 1), we find mature IL-1β localized to the lumen of the membrane in early intermediates and mature autophagosomes (Figures 2-4, 6). This surprising location may help to explain how mature IL-1β is secreted in a soluble form to the cell surface (Figure 9C). However, localization to the lumen between the two membranes of the autophagosome would require that IL-1β is translocated from the cytoplasm across the membrane precursor of a phagophore, rather than being engulfed as the phagophore membrane matures by closure into an autophagosome. Our evidence suggests that IL-1β must unfold or be held in an unfolded state to promote membrane translocation (Figure 5) and that a complex sorting signal in the mature portion of IL-1β interacts with HSP90 to deliver the chaperone and its cargo to a site on a phagophore precursor membrane where the mature species is translocated (Figures 7-9).
The unconventional secretory cargo fibroblast growth factor 2 (FGF2) has been shown to directly translocate across the plasma membrane as a folded protein without the apparent aid of chaperones (Backhaus et al., 2004; Steringer et al., 2015). Unlike FGF2, the entry of IL-1β into the autophagosomal carrier appears to be dependent on protein unfolding in a conformational state that may be fostered by the association of HSP90 with two KFERQ-like sequences within the mature portion of IL-1β (Figure 5 and 8). This translocation mechanism appears superficially similar to another delivery process termed HSC70-dependent CMA in which autophagic cargoes bearing KFERQ targeting motifs are directed into the lysosome for degradation. Indeed, using a cell-free approach to study the import of CMA cargo into isolated lysosomes, Salvador et al. (2000) reported that DHFR fused to a CMA cargo is blocked in translocation by addition of methotrexate, a drug that stabilizes DHFR to unfolding, just as we have shown that IL-1β fused to DHFR is blocked in cells treated with a cell permeable folate analog, aminopterin (Wei et al., 2013). In our fractionation study, IL-1β distributed in LC3-positive autophagosomal carriers that were separated from the lysosome marker LAMP2, the proposed receptor or channel for uptake of CMA cargo (Kaushik and Cuervo, 2012)(Figure 2B). This observation, together with the involvement of a different chaperone i.e. HSP90, suggests distinct routes for IL-1β and cargoes of the CMA pathway.
The target membrane for IL-1β translocation may be a vesicle that could fuse with or form the autophagosome. We find that mature IL-1β can be detected within protease inaccessible membranes in cells blocked early in the autophagic pathway (e.g. ATG5 null cells and cells depleted of FIP200, both of which block at a stage prior to the lipidation of LC3). The identity of the vesicle carrier is unknown and could be any one of those reported to supply membrane to the formation of the autophagosome (Ge et al., 2014a; Lamb et al., 2013). Although we have ruled out the involvement of LAMP2A IL-1β translocation, it is likely that a membrane receptor locating on the membrane of the vesicle carrier, perhaps a functional equivalent of LAMP2A, recruits the protein complex of HSP90 and IL-1β, therefore designating the correct membrane targeting of IL-1β. In addition, a protein conducting channel may be involved in the translocation of IL-1β into the membrane. It seems unlikely that a standard translocation channel, such as SEC61, is involved in this import process, but no current evidence bears on this point.
The exact route by which the autophagosome delivers mature IL-1β to the cell surface as well as how it avoids fusion with degradative lysosome remains obscure, possibly involving interaction with the multi-vesicular body or some form of lysosome as a prelude to fusion at the cell surface (Figure 9C), and this process may require selective recruitment of membrane sorting and targeting factors such as Rabs and SNAREs. Fusion of the autophagosome directly with the plasma membrane would lead to the release of soluble IL-1β available to trigger an inflammatory response in the surrounding tissue. If mature IL-1β were engulfed within the cytoplasmic interior of the autophagosome, fusion of this organelle at the cell surface might release an intact vesicle corresponding to the inner membrane-enclosed cytoplasmic compartment of the autophagosome. We found mature IL-1β secreted by macrophages or in our surrogate cell system to be completely soluble, thus inconsistent with the engulfment model (data not shown). An alternative possibility may be that the autophagosome fuses with another intracellular organelle such as the MVB or the lysosome under conditions where the inner membrane of the autophagosome is degraded. If so, mature IL-1β would be available for secretion if the combined organelle (amphisome, Figure 9C) fused with the plasma membrane. However, for this model to be viable, the mature IL-1β released on dissolution of the autophagosome inner membrane would have to withstand proteolytic attack such as may be encountered in an amphisome or lysosome. Because mature IL-1β is clearly sensitive to proteolysis (Figure 4), thus any compartment engaged in presenting autophagosomal content to the cell surface must be depleted of proteases. The nature of the organelle that delivers autophagosome content to the plasma membrane may be probed by selective ablation of different Rab proteins, e.g. Rab11, Rab27 and Rab35, which appear to be required for fusion of the MVB with the cell surface (Hsu et al., 2010; Ostrowski et al., 2010; Savina et al., 2002), or Rab27a and Rab38, implicated in the fusion of lysosomes at the cell surface (Blott and Griffiths, 2002; Hume et al., 2001; Jager et al., 2000.
A series of electron micrographs show the barrel-shaped helicase, which is the enzyme that separates the two DNA strands, along with other components of the replisome, including polymerase-epsilon (green).[Brookhaven National Laboratory]
It may be time to update biology texts to reflect newly published data from a collaborative team of scientists at Rockefeller University, Stony Brook University, and the U.S. Department of Energy’s Brookhaven National Laboratory. Using cutting-edge electron microscopy (EM) techniques, the investigators gathered the first ever images of the fully assembled replisome, providing new insight into the molecular mechanisms of replication.
“Our finding goes against decades of textbook drawings of what people thought the replisome should look like,” remarked co-senior author Michael O’Donnell, Ph.D., professor and head of Rockefeller’s Laboratory of DNA Replication. “However, it’s a recurring theme in science that nature does not always turn out to work the way you thought it did.”
“Our finding goes against decades of textbook drawings of what people thought the replisome should look like,” remarked co-senior author Michael O’Donnell, Ph.D., professor and head of Rockefeller’s Laboratory of DNA Replication. “However, it’s a recurring theme in science that nature does not always turn out to work the way you thought it did.”
Previously (left), the replisome’s two polymerases (green) were assumed to be below the helicase (tan), the enzyme that splits the DNA strands. The new images reveal one polymerase is located at the front of the helicase, causing one strand to loop backward as it is copied (right). [Brookhaven National Laboratory]
The researcher’s findings focused on the replisome found in eukaryotic organisms, a category that includes a broad swath of living things, including humans and other multicellular organisms. Over the past several decades, there has been an array of data describing the individual components comprising the complex nature of replisome. Yet, until now no pictures existed to show just how everything fit together.
“This work is a continuation of our long-standing research using electron microscopy to understand the mechanism of DNA replication, an essential function for every living cell,” explained co-senior author Huilin Li, Ph.D., biologist with joint appointments at Brookhaven Lab and Stony Brook University. “These new images show the fully assembled and fully activated ‘helicase’ protein complex—which encircles and separates the two strands of the DNA double helix as it passes through a central pore in the structure—and how the helicase coordinates with the two ‘polymerase’ enzymes that duplicate each strand to copy the genome.”
The image and implications from this study were described in a paper entitled “The architecture of a eukaryotic replisome,” published recently through Nature Structural & Molecular Biology.
Traditional models of DNA replication show the helicase enzyme moving along the DNA, separating the two strands of the double helix, with two polymerases located at the back where the DNA strand is split. In this configuration, the polymerases would add nucleotides to the side-by-side split ends as they move out of the helicase to form two new complete double helix DNA strands. However, the images that the researchers collected of intact replisomes revealed that only one of the polymerases is located at the back of the helicase. The other is on the front side of the helicase, where the helicase first encounters the double-stranded helix. This means that while one of the two split DNA strands is acted on by the polymerase at the back end, the other has to thread itself back through or around the helicase to reach the front-side polymerase before having its new complementary strand assembled.
“DNA replication is one of the most fundamental processes of life, so it is every biochemist’s dream to see what a replisome looks like,” stated lead author Jingchuan Sun, EM biologist in Dr. Li’s laboratory. “Our lab has expertise and a decade of experience using electron microscopy to study DNA replication, which has prepared us well to tackle the highly mobile therefore very challenging replisome structure. Working together with the O’Donnell lab, which has done beautiful, functional studies on the yeast replisome, our two groups brought perfectly complementary expertise to this project.”
The positioning of one polymerase at the front of the helicase suggests that it may have an unforeseen function—the possibilities of which the collaborative group of scientists is continuing to study. Whatever the function the offset polymerase ends up having, Drs. Li and O’Donnell hope that it will not only provide them better insight into the replication machinery but that they may uncover useful information that can be exploited for disease intervention.
“Clearly, further studies will be required to understand the functional implications of the unexpected replisome architecture reported here,” the scientists concluded.
Scientists at the University of Copenhagen say they have located a previously unknown function for histones, which allows for an improved understanding of how cells protect and repair DNA damages. This new discovery may be of great importance to the treatment of diseases caused by cellular changes such as cancer and immune deficiency syndrome.
The study (“Histone H1 couples initiation and amplification of ubiquitin signaling after DNA damage”) is published in Nature.
“I believe that there’s a lot of work ahead. It’s like opening a door onto a previously undiscovered territory filled with lots of exciting knowledge. The histones are incredibly important to many of the cells’ processes as well as their overall wellbeing,” said Niels Mailand, Ph.D., from the Novo Nordisk Foundation Center for Protein Research at the Faculty of Health and Medical Science.
Histones enable the tight packaging of DNA strands within cells. The strands are two meters in length and the cells usually about 100,000 times smaller. Generally speaking, there are five types of histones. Four of them are core histones and they are placed like beads on the DNA strands, which are curled up like a ball of wool within the cells. The role of the histones is already well described in research, and in addition to enabling the packaging of the DNA strands they also play a central part in practically every process related to the DNA-code, including repairing possibly damaged DNA.
The four core histones have tails and, among other things, they signal damage to the DNA and thus attract the proteins that help repair the damage. Between the histone “yarn balls” we find the fifth histone, Histone H1, but up until now its function has not been thoroughly examined.
Using a mass spectrometer, Dr. Mailand and his team have discovered that, surprisingly, the H1 histone also helps summon repair proteins.
“In international research, the primary focus has been on the core histones and their functionality, whereas little attention has been paid to the H1 histone, simply because we weren’t aware that it too influenced the repair process. Having discovered this function in the H1 constitutes an important piece of the puzzle of how cells protect their DNA, and it opens a door onto hitherto unknown and highly interesting territory,” noted Dr. Mailand.
He expects the discovery to lead to increased research into Histone H1 worldwide, which will lead to increased knowledge of cells’ abilities to repair possible damage to their DNA and thus increase our knowledge of the basis for diseases caused by cellular changes. It will also generate more knowledge about the treatment of these diseases.
“By mapping the function of the H1 histone, we will also learn more about the repair of DNA damages on a molecular level. In order to provide the most efficient treatment, we need to know how the cells prevent and repair these damages,” point out Dr. Mailand.
Synthetic oligonucleotides have emerged as promising therapeutic agents for the treatment of a variety of diseases, including viral infections and cancer. Researchers are looking at several classes of nucleic acids, such as antisense oligonucleotides, small interfering RNAs (siRNAs), and aptamers, for therapeutic applications.
However, various impurities – product-related, in the starting materials, and arising from incomplete capping of coupling reactions – must be identified and removed and postsynthesis processing must be monitored. Thus, a key challenge in the development and manufacture of oligonucleotide therapeutics is to establish analytical methods that are capable of separating and identifying impurities.
Exploring Better Options for Oligonucleotide LC Separations
Table 1. Options for oligonucleotide LC separations
Ion-pair, reversed-phase separation of the trityl-on oligos and is relatively simple to perform. This method separates the full-length target oligo, which still has the dMT group attached, from the deprotected failure sequences. The analytical information obtained is limited, so this is generally considered a purification method.
An alternate method, ion-exchange separations of the trityl-off, deprotected oligos uses the negative charge on the backbone of the oligo to facilitate the separation. Resolution is good for the shorter oligos but decreases with increasing chain length. Aqueous eluents are used but oligos are highly charged, and high concentrations of salt are needed to achieve elution from the column, making the technique unsuitable for use with LC/MS.
Finally, ion-pair, reversed-phase separation of the trityl-off, deprotected oligos makes use of organic solvents and mobile phase additives such as TEAA (triethylammonium acetate) or TEA-HFIP (triethylamine and hexafluoroisopropanol) to ion-pair with the negatively charged phosphodiester backbone of the oligonucleotide. High-performance columns deliver excellent resolution. What’s more, methods with volatile mobile phase constituents such as TEA-HFIP are suitable for use with LC/MS, providing useful information to help characterize oligonucleotide structures and sequences.
In Table 1 we summarize some of the options for oligonucleotide analysis by liquid chromatography.
Designed for ion-pair, reversed-phase separation of the trityl-off, deprotected oligos using either TEAA or TEA-HFIP mobile phases –Agilent AdvanceBio Oligonucleotide columns meet these challenges.