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Translation of whole human genome sequencing to clinical practice: The Joint Initiative for Metrology in Biology (JIMB) is a collaboration between the National Institute of Standards & Technology (NIST) and Stanford University, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Translation of whole human genome sequencing to clinical practice: The Joint Initiative for Metrology in Biology (JIMB) is a collaboration between the National Institute of Standards & Technology (NIST) and Stanford University.

Reporter: Aviva Lev-Ari, PhD, RN

 

JIMB’s mission is to advance the science of measuring biology (biometrology). JIMB is pursuing fundamental research, standards development, and the translation of products that support confidence in biological measurements and reliable reuse of materials and results. JIMB is particularly focused on measurements and technologies that impact, are related to, or enabled by ongoing advances in and associated with the reading and writing of DNA.

Stanford innovators and industry entrepreneurs have joined forces with the measurement experts from NIST to create a new engine powering the bioeconomy. It’s called JIMB — “Jim Bee” — the Joint Initiative for Metrology in Biology. JIMB unites people, platforms, and projects to underpin standards-based research and innovation in biometrology.

Genome in a Bottle
Authoritative Characterization of
Benchmark Human Genomes


The Genome in a Bottle Consortium is a public-private-academic consortium hosted by NIST to develop the technical infrastructure (reference standards, reference methods, and reference data) to enable translation of whole human genome sequencing to clinical practice. The priority of GIAB is authoritative characterization of human genomes for use in analytical validation and technology development, optimization, and demonstration. In 2015, NIST released the pilot genome Reference Material 8398, which is genomic DNA (NA12878) derived from a large batch of the Coriell cell line GM12878, characterized for high-confidence SNPs, indel, and homozygous reference regions (Zook, et al., Nature Biotechnology 2014).

There are four new GIAB reference materials available.  With the addition of these new reference materials (RMs) to a growing collection of “measuring sticks” for gene sequencing, we can now provide laboratories with even more capability to accurately “map” DNA for genetic testing, medical diagnoses and future customized drug therapies. The new tools feature sequenced genes from individuals in two genetically diverse groups, Asians and Ashkenazic Jews; a father-mother-child trio set from Ashkenazic Jews; and four microbes commonly used in research. For more information click here.  To purchase them, visit:

Data and analyses are publicly available (GIAB GitHub). A description of data generated by GIAB is published here. To standardize best practices for using GIAB genomes for benchmarking, we are working with the Global Alliance for Genomics and Health Benchmarking Team (benchmarking tools).

High-confidence small variant and homozygous reference calls are available for NA12878, the Ashkenazim trio, and the Chinese son with respect to GRCh37.  Preliminary high-confidence calls with respect to GRCh38 are also available for NA12878.   The latest version of these calls is under the latest directory for each genome on the GIAB FTP.

The consortium was initiated in a set of meetings in 2011 and 2012, and the consortium holds open, public workshops in January at Stanford University in Palo Alto, CA and in August/September at NIST in Gaithersburg, MD. Slides from workshops and conferences are available online. The consortium is open and welcomes new participants.

SOURCE

Stanford innovators and industry entrepreneurs have joined forces with the measurement experts from NIST to create a new engine powering the bioeconomy. It’s called JIMB — “Jim Bee” — the Joint Initiative for Metrology in Biology. JIMB unites people, platforms, and projects to underpin standards-based research and innovation in biometrology.

JIMB World Metrology Day Symposium

JIMB’s mission is to motivate standards-based measurement innovation to facilitate translation of basic science and technology development breakthroughs in genomics and synthetic biology.

By advancing biometrology, JIMB will push the boundaries of discovery science, accelerate technology development and dissemination, and generate reusable resources.

 SOURCE

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Other related articles published in this Open Access Online Scientific Journal include the following:

“Genome in a Bottle”: NIST’s new metrics for Clinical Human Genome Sequencing

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2012/09/06/genome-in-a-bottle-nists-new-metrics-for-clinical-human-genome-sequencing/

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Reporter and Curator: Dr. Sudipta Saha, Ph.D.

 

Mitochondrial disease

 

Mitochondria are present in almost all human cells, and vary in number from a few tens to many thousands. They generate the majority of a cell’s energy supply which powers every part of our body. Mitochondria have their own separate DNA, which carries just a few genes. All of these genes are involved in energy production but determine no other characteristics. And so, any faults in these genes lead only to problems in energy production. Around 1 in 6500 children is thought to be born with a serious mitochondrial disorder due to faults in mitochondrial DNA.

 

Unlike nuclear genes, mitochondrial DNA is inherited only from our mothers. Mothers can carry abnormal mitochondria and be at risk of passing on serious disease to their children, even if they themselves show only mild or no symptoms. It is for such women who by chance have a high proportion of faulty mitochondrial DNA in their eggs for which the methods of mitochondrial replacement or “donation” have been developed. This technique is also referred as the three parent technique and it involves a couple and a donor.

 

Mitochondrial Donation

 

The most developed techniques, maternal spindle transfer (MST) and pro-nuclear transfer (PNT), are based on an IVF cycle but have additional steps. Other techniques are being developed.

 

In both MST and PNT, nuclear DNA is moved from a patient’s egg or embryo containing unhealthy mitochondria to a donor’s egg or embryo containing healthy mitochondria, from which the donor’s nuclear DNA has been removed.

 

mst

Maternal spindle transfer Bredenoord, A and P. Braude (2010) “Ethics of mitochondrial gene replacement: from bench to bedside” BMJ 341.

 

pnt

Pronuclear transfer Bredenoord, A and P. Braude (2010) “Ethics of mitochondrial gene replacement: from bench to bedside” BMJ 341.

 

Research Carried Out and Safety Issues

 

There have been many experiments conducted using MST and PNT in animals. PNT has been carried out since the mid-1980s in mice. MST has been carried out in a wide range of animals. More recently mice, monkeys and human embryos have been created with the specific aim of developing MST and PNT for avoiding mitochondrial disease.

 

  • There is no evidence to show that mitochondrial donation is unsafe
  • Research is progressing well and the recommended further experiments are expected to confirm this view.

 

The main area of research needed is to observe cells derived from embryos created by MST and PNT, to see how mitochondria behave.

 

Concerns about Mitochondrial Donation

 

The scientific evidence raises some potential concerns about mitochondrial donation. Just as we all have different blood groups, we also have different types of mitochondria, called haplotypes. Some scientists have suggested that if the patient and the mitochondria donor have different mitochondrial haplotypes, there is a theoretical risk that the donor’s mitochondria won’t be able to ‘talk’ properly to the patient’s nuclear DNA, which could cause problems in the embryo and resulting child. So, mitochondria haplotype matching in the process of selecting donors may be done to avoid problems.

 

Another potential concern is that a small amount of unhealthy mitochondrial DNA may be transferred into the donor’s egg along with the mother’s nuclear DNA. Studies carried out on MST and PNT show that some so-called mitochondrial ‘carry-over’ occurs. However, the carry-over is lower than 2% of the mitochondria in the resulting embryo, an amount which is very unlikely to be problematic for the children born.

 

References:

 

http://mitochondria.hfea.gov.uk/mitochondria/what-is-mitochondrial-disease/

 

http://mitochondria.hfea.gov.uk/mitochondria/what-is-mitochondrial-disease/new-techniques-to-prevent-mitochondrial-disease/

 

https://www.newscientist.com/article/2107219-exclusive-worlds-first-baby-born-with-new-3-parent-technique/

 

https://www.newscientist.com/article/2108549-exclusive-3-parent-baby-method-already-used-for-infertility/

 

http://www.frontlinegenomics.com/news/7889/ethical-concerns-raised-first-three-parent-ivf-baby/

 

http://www.hfea.gov.uk/docs/2011-04-18_Mitochondria_review_-_final_report.PDF

 

http://www.hfea.gov.uk/docs/Mito-Annex_VIII-science_review_update.pdf

 

http://www.hfea.gov.uk/docs/Third_Mitochondrial_replacement_scientific_review.pdf

 

https://pharmaceuticalintelligence.com/2014/02/26/three-parent-baby-making-practice-of-modifying-oocytes-for-use-in-in-vitro-fertilization-fda-hearing/

 

 

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Milestones in Physiology & Discoveries in Medicine and Genomics: Request for Book Review Writing on Amazon.com

physiology-cover-seriese-vol-3individualsaddlebrown-page2

Milestones in Physiology

Discoveries in Medicine, Genomics and Therapeutics

Patient-centric Perspective 

http://www.amazon.com/dp/B019VH97LU 

2015

 

 

Author, Curator and Editor

Larry H Bernstein, MD, FCAP

Chief Scientific Officer

Leaders in Pharmaceutical Business Intelligence

Larry.bernstein@gmail.com

Preface

Introduction 

Chapter 1: Evolution of the Foundation for Diagnostics and Pharmaceuticals Industries

1.1  Outline of Medical Discoveries between 1880 and 1980

1.2 The History of Infectious Diseases and Epidemiology in the late 19th and 20th Century

1.3 The Classification of Microbiota

1.4 Selected Contributions to Chemistry from 1880 to 1980

1.5 The Evolution of Clinical Chemistry in the 20th Century

1.6 Milestones in the Evolution of Diagnostics in the US HealthCare System: 1920s to Pre-Genomics

 

Chapter 2. The search for the evolution of function of proteins, enzymes and metal catalysts in life processes

2.1 The life and work of Allan Wilson
2.2  The  evolution of myoglobin and hemoglobin
2.3  More complexity in proteins evolution
2.4  Life on earth is traced to oxygen binding
2.5  The colors of life function
2.6  The colors of respiration and electron transport
2.7  Highlights of a green evolution

 

Chapter 3. Evolution of New Relationships in Neuroendocrine States
3.1 Pituitary endocrine axis
3.2 Thyroid function
3.3 Sex hormones
3.4 Adrenal Cortex
3.5 Pancreatic Islets
3.6 Parathyroids
3.7 Gastointestinal hormones
3.8 Endocrine action on midbrain
3.9 Neural activity regulating endocrine response

3.10 Genomic Promise for Neurodegenerative Diseases, Dementias, Autism Spectrum, Schizophrenia, and Serious Depression

 

Chapter 4.  Problems of the Circulation, Altitude, and Immunity

4.1 Innervation of Heart and Heart Rate
4.2 Action of hormones on the circulation
4.3 Allogeneic Transfusion Reactions
4.4 Graft-versus Host reaction
4.5 Unique problems of perinatal period
4.6. High altitude sickness
4.7 Deep water adaptation
4.8 Heart-Lung-and Kidney
4.9 Acute Lung Injury

4.10 Reconstruction of Life Processes requires both Genomics and Metabolomics to explain Phenotypes and Phylogenetics

 

Chapter 5. Problems of Diets and Lifestyle Changes

5.1 Anorexia nervosa
5.2 Voluntary and Involuntary S-insufficiency
5.3 Diarrheas – bacterial and nonbacterial
5.4 Gluten-free diets
5.5 Diet and cholesterol
5.6 Diet and Type 2 diabetes mellitus
5.7 Diet and exercise
5.8 Anxiety and quality of Life
5.9 Nutritional Supplements

 

Chapter 6. Advances in Genomics, Therapeutics and Pharmacogenomics

6.1 Natural Products Chemistry

6.2 The Challenge of Antimicrobial Resistance

6.3 Viruses, Vaccines and immunotherapy

6.4 Genomics and Metabolomics Advances in Cancer

6.5 Proteomics – Protein Interaction

6.6 Pharmacogenomics

6.7 Biomarker Guided Therapy

6.8 The Emergence of a Pharmaceutical Industry in the 20th Century: Diagnostics Industry and Drug Development in the Genomics Era: Mid 80s to Present

6.09 The Union of Biomarkers and Drug Development

6.10 Proteomics and Biomarker Discovery

6.11 Epigenomics and Companion Diagnostics

 

Chapter  7

Integration of Physiology, Genomics and Pharmacotherapy

7.1 Richard Lifton, MD, PhD of Yale University and Howard Hughes Medical Institute: Recipient of 2014 Breakthrough Prizes Awarded in Life Sciences for the Discovery of Genes and Biochemical Mechanisms that cause Hypertension

7.2 Calcium Cycling (ATPase Pump) in Cardiac Gene Therapy: Inhalable Gene Therapy for Pulmonary Arterial Hypertension and Percutaneous Intra-coronary Artery Infusion for Heart Failure: Contributions by Roger J. Hajjar, MD

7.3 Diagnostics and Biomarkers: Novel Genomics Industry Trends vs Present Market Conditions and Historical Scientific Leaders Memoirs

7.4 Synthetic Biology: On Advanced Genome Interpretation for Gene Variants and Pathways: What is the Genetic Base of Atherosclerosis and Loss of Arterial Elasticity with Aging

7.5 Diagnosing Diseases & Gene Therapy: Precision Genome Editing and Cost-effective microRNA Profiling

7.6 Imaging Biomarker for Arterial Stiffness: Pathways in Pharmacotherapy for Hypertension and Hypercholesterolemia Management

7.7 Neuroprotective Therapies: Pharmacogenomics vs Psychotropic drugs and Cholinesterase Inhibitors

7.8 Metabolite Identification Combining Genetic and Metabolic Information: Genetic association links unknown metabolites to functionally related genes

7.9 Preserved vs Reduced Ejection Fraction: Available and Needed Therapies

7.10 Biosimilars: Intellectual Property Creation and Protection by Pioneer and by

7.11 Demonstrate Biosimilarity: New FDA Biosimilar Guidelines

 

Chapter 7.  Biopharma Today

8.1 A Great University engaged in Drug Discovery: University of Pittsburgh

8.2 Introduction – The Evolution of Cancer Therapy and Cancer Research: How We Got Here?

8.3 Predicting Tumor Response, Progression, and Time to Recurrence

8.4 Targeting Untargetable Proto-Oncogenes

8.5 Innovation: Drug Discovery, Medical Devices and Digital Health

8.6 Cardiotoxicity and Cardiomyopathy Related to Drugs Adverse Effects

8.7 Nanotechnology and Ocular Drug Delivery: Part I

8.8 Transdermal drug delivery (TDD) system and nanotechnology: Part II

8.9 The Delicate Connection: IDO (Indolamine 2, 3 dehydrogenase) and Cancer Immunology

8.10 Natural Drug Target Discovery and Translational Medicine in Human Microbiome

8.11 From Genomics of Microorganisms to Translational Medicine

8.12 Confined Indolamine 2, 3 dioxygenase (IDO) Controls the Homeostasis of Immune Responses for Good and Bad

 

Chapter 9. BioPharma – Future Trends

9.1 Artificial Intelligence Versus the Scientist: Who Will Win?

9.2 The Vibrant Philly Biotech Scene: Focus on KannaLife Sciences and the Discipline and Potential of Pharmacognosy

9.3 The Vibrant Philly Biotech Scene: Focus on Computer-Aided Drug Design and Gfree Bio, LLC

9.4 Heroes in Medical Research: The Postdoctoral Fellow

9.5 NIH Considers Guidelines for CAR-T therapy: Report from Recombinant DNA Advisory Committee

9.6 1st Pitch Life Science- Philadelphia- What VCs Really Think of your Pitch

9.7 Multiple Lung Cancer Genomic Projects Suggest New Targets, Research Directions for Non-Small Cell Lung Cancer

9.8 Heroes in Medical Research: Green Fluorescent Protein and the Rough Road in Science

9.9 Issues in Personalized Medicine in Cancer: Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

9.10 The SCID Pig II: Researchers Develop Another SCID Pig, And Another Great Model For Cancer Research

Epilogue

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genomicsinpersonalizedmedicinecovervolumeone

Content Consultant: Larry H Bernstein, MD, FCAP

2.1.5.12

2.1.5.12   Genomics Orientations for Personalized Medicine: Request for Book Review Writing on Amazon.com, 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

Genomics Orientations for Personalized Medicine

Volume One

http://www.amazon.com/dp/B018DHBUO6

electronic Table of Contents

Chapter 1

1.1 Advances in the Understanding of the Human Genome The Initiation and Growth of Molecular Biology and Genomics – Part I

1.2 CRACKING THE CODE OF HUMAN LIFE: Milestones along the Way – Part IIA

1.3 DNA – The Next-Generation Storage Media for Digital Information

1.4 CRACKING THE CODE OF HUMAN LIFE: Recent Advances in Genomic Analysis and Disease – Part IIC

1.5 Advances in Separations Technology for the “OMICs” and Clarification of Therapeutic Targets

1.6 Genomic Analysis: FLUIDIGM Technology in the Life Science and Agricultural Biotechnology

Chapter 2

2.1 2013 Genomics: The Era Beyond the Sequencing of the Human Genome: Francis Collins, Craig Venter, Eric Lander, et al.

2.2 DNA structure and Oligonucleotides

2.3 Genome-Wide Detection of Single-Nucleotide and Copy-Number Variation of a Single Human Cell 

2.4 Genomics and Evolution

2.5 Protein-folding Simulation: Stanford’s Framework for Testing and Predicting Evolutionary Outcomes in Living Organisms – Work by Marcus Feldman

2.6 The Binding of Oligonucleotides in DNA and 3-D Lattice Structures

2.7 Finding the Genetic Links in Common Disease: Caveats of Whole Genome Sequencing Studies

Chapter 3

3.1 Big Data in Genomic Medicine

3.2 CRACKING THE CODE OF HUMAN LIFE: The Birth of Bioinformatics & Computational Genomics – Part IIB 

3.3 Expanding the Genetic Alphabet and linking the Genome to the Metabolome

3.4 Metabolite Identification Combining Genetic and Metabolic Information: Genetic Association Links Unknown Metabolites to Functionally Related Genes

3.5 MIT Scientists on Proteomics: All the Proteins in the Mitochondrial Matrix identified

3.6 Identification of Biomarkers that are Related to the Actin Cytoskeleton

3.7 Genetic basis of Complex Human Diseases: Dan Koboldt’s Advice to Next-Generation Sequencing Neophytes

3.8 MIT Team Researches Regulatory Motifs and Gene Expression of Erythroleukemia (K562) and Liver Carcinoma (HepG2) Cell Lines

Chapter 4

4.1 ENCODE Findings as Consortium

4.2 ENCODE: The Key to Unlocking the Secrets of Complex Genetic Diseases

4.3 Reveals from ENCODE Project will Invite High Synergistic Collaborations to Discover Specific Targets  

4.4 Human Variome Project: encyclopedic catalog of sequence variants indexed to the human genome sequence

4.5 Human Genome Project – 10th Anniversary: Interview with Kevin Davies, PhD – The $1000 Genome

4.6 Quantum Biology And Computational Medicine

4.7 The Underappreciated EpiGenome

4.8 Unraveling Retrograde Signaling Pathways

4.9  “The SILENCE of the Lambs” Introducing The Power of Uncoded RNA

4.10  DNA: One man’s trash is another man’s treasure, but there is no JUNK after all

Chapter 5

5.1 Paradigm Shift in Human Genomics – Predictive Biomarkers and Personalized Medicine – Part 1 

5.2 Computational Genomics Center: New Unification of Computational Technologies at Stanford

5.3 Personalized Medicine: An Institute Profile – Coriell Institute for Medical Research: Part 3

5.4 Cancer Genomics – Leading the Way by Cancer Genomics Program at UC Santa Cruz

5.5 Genome and Genetics: Resources @Stanford, @MIT, @NIH’s NCBCS

5.6 NGS Market: Trends and Development for Genotype-Phenotype Associations Research

5.7 Speeding Up Genome Analysis: MIT Algorithms for Direct Computation on Compressed Genomic Datasets

5.8  Modeling Targeted Therapy

5.9 Transphosphorylation of E-coli Proteins and Kinase Specificity

5.10 Genomics of Bacterial and Archaeal Viruses

Chapter 6

6.1  Directions for Genomics in Personalized Medicine

6.2 Ubiquinin-Proteosome pathway, Autophagy, the Mitochondrion, Proteolysis and Cell Apoptosis: Part III

6.3 Mitochondrial Damage and Repair under Oxidative Stress

6.4 Mitochondria: More than just the “Powerhouse of the Cell”

6.5 Mechanism of Variegation in Immutans

6.6 Impact of Evolutionary Selection on Functional Regions: The imprint of Evolutionary Selection on ENCODE Regulatory Elements is Manifested between Species and within Human Populations

6.7 Cardiac Ca2+ Signaling: Transcriptional Control

6.8 Unraveling Retrograde Signaling Pathways

6.9 Reprogramming Cell Fate

6.10 How Genes Function

6.11 TALENs and ZFNs

6.12 Zebrafish—Susceptible to Cancer

6.13 RNA Virus Genome as Bacterial Chromosome

6.14 Cloning the Vaccinia Virus Genome as a Bacterial Artificial Chromosome 

6.15 Telling NO to Cardiac Risk- DDAH Says NO to ADMA(1); The DDAH/ADMA/NOS Pathway(2)

6.16  Transphosphorylation of E-coli proteins and kinase specificity

6.17 Genomics of Bacterial and Archaeal Viruses

6.18  Diagnosing Diseases & Gene Therapy: Precision Genome Editing and Cost-effective microRNA Profiling

Chapter 7

7.1 Harnessing Personalized Medicine for Cancer Management, Prospects of Prevention and Cure: Opinions of Cancer Scientific Leaders @ http://pharmaceuticalintelligence.com

7.2 Consumer Market for Personal DNA Sequencing: Part 4

7.3 GSK for Personalized Medicine using Cancer Drugs Needs Alacris Systems Biology Model to Determine the In Silico Effect of the Inhibitor in its “Virtual Clinical Trial”

7.4 Drugging the Epigenome

7.5 Nation’s Biobanks: Academic institutions, Research institutes and Hospitals – vary by Collections Size, Types of Specimens and Applications: Regulations are Needed

7.6 Personalized Medicine: Clinical Aspiration of Microarrays

Chapter 8

8.1 Personalized Medicine as Key Area for Future Pharmaceutical Growth

8.2 Inaugural Genomics in Medicine – The Conference Program, 2/11-12/2013, San Francisco, CA

8.3 The Way With Personalized Medicine: Reporters’ Voice at the 8th Annual Personalized Medicine Conference, 11/28-29, 2012, Harvard Medical School, Boston, MA

8.4 Nanotechnology, Personalized Medicine and DNA Sequencing

8.5 Targeted Nucleases

8.6 Transcript Dynamics of Proinflammatory Genes

8.7 Helping Physicians identify Gene-Drug Interactions for Treatment Decisions: New ‘CLIPMERGE’ program – Personalized Medicine @ The Mount Sinai Medical Center

8.8 Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing[1]

8.9 Diagnosing Diseases & Gene Therapy: Precision Genome Editing and Cost-effective microRNA Profiling

Chapter 9

9.1 Personal Tale of JL’s Whole Genome Sequencing

9.2 Inspiration From Dr. Maureen Cronin’s Achievements in Applying Genomic Sequencing to Cancer Diagnostics

9.3 Inform Genomics Developing SNP Test to Predict Side Effects, Help MDs Choose among Chemo Regimens

9.4 SNAP: Predict Effect of Non-synonymous Polymorphisms: How Well Genome Interpretation Tools could Translate to the Clinic

9.5  LEADERS in Genome Sequencing of Genetic Mutations for Therapeutic Drug Selection in Cancer Personalized Treatment: Part 2

9.6 The Initiation and Growth of Molecular Biology and Genomics – Part I

9.7 Personalized Medicine-based Cure for Cancer Might Not Be Far Away

9.8 Personalized Medicine: Cancer Cell Biology and Minimally Invasive Surgery (MIS)

 Chapter 10

10.1 Pfizer’s Kidney Cancer Drug Sutent Effectively caused REMISSION to Adult Acute Lymphoblastic Leukemia (ALL)

10.2 Imatinib (Gleevec) May Help Treat Aggressive Lymphoma: Chronic Lymphocytic Leukemia (CLL)

10.3 Winning Over Cancer Progression: New Oncology Drugs to Suppress Passengers Mutations vs. Driver Mutations

10.4 Treatment for Metastatic HER2 Breast Cancer

10.5 Personalized Medicine in NSCLC

10.6 Gene Sequencing – to the Bedside

10.7 DNA Sequencing Technology

10.8 Nobel Laureate Jack Szostak Previews his Plenary Keynote for Drug Discovery Chemistry

Chapter 11

11.1 mRNA Interference with Cancer Expression

11.2 Angiogenic Disease Research Utilizing microRNA Technology: UCSD and Regulus Therapeutics

11.3 Sunitinib brings Adult acute lymphoblastic leukemia (ALL) to Remission – RNA Sequencing – FLT3 Receptor Blockade

11.4 A microRNA Prognostic Marker Identified in Acute Leukemia 

11.5 MIT Team: Microfluidic-based approach – A Vectorless delivery of Functional siRNAs into Cells.

11.6 Targeted Tumor-Penetrating siRNA Nanocomplexes for Credentialing the Ovarian Cancer Oncogene ID4

11.7 When Clinical Application of miRNAs?

11.8 How mobile elements in “Junk” DNA promote cancer. Part 1: Transposon-mediated tumorigenesis,

11.9 Potential Drug Target: Glycolysis Regulation – Oxidative Stress-responsive microRNA-320

11.10  MicroRNA Molecule May Serve as Biomarker

11.11 What about Circular RNAs?

Chapter 12

12.1 The “Cancer Establishments” Examined by James Watson, Co-discoverer of DNA w/Crick, 4/1953

12.2 Otto Warburg, A Giant of Modern Cellular Biology

12.3 Is the Warburg Effect the Cause or the Effect of Cancer: A 21st Century View?

12.4 Hypothesis – Following on James Watson

12.5 AMPK Is a Negative Regulator of the Warburg Effect and Suppresses Tumor Growth In Vivo

12.6 AKT signaling variable effects

12.7 Rewriting the Mathematics of Tumor Growth; Teams Use Math Models to Sort Drivers from Passengers

12.8 Phosphatidyl-5-Inositol signaling by Pin1

Chapter 13

13.1 Nanotech Therapy for Breast Cancer

13.2 BRCA1 a tumour suppressor in breast and ovarian cancer – functions in transcription, ubiquitination and DNA repair

13.3 Exome sequencing of serous endometrial tumors shows recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes

13.4 Recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes in serous endometrial tumors

13.5 Prostate Cancer: Androgen-driven “Pathomechanism” in Early onset Forms of the Disease

13.6 In focus: Melanoma Genetics

13.7 Head and Neck Cancer Studies Suggest Alternative Markers More Prognostically Useful than HPV DNA Testing

13.8 Breast Cancer and Mitochondrial Mutations

13.9  Long noncoding RNA network regulates PTEN transcription

Chapter 14

14.1 HBV and HCV-associated Liver Cancer: Important Insights from the Genome

14.2 Nanotechnology and HIV/AIDS treatment

14.3 IRF-1 Deficiency Skews the Differentiation of Dendritic Cells

14.4 Sepsis, Multi-organ Dysfunction Syndrome, and Septic Shock: A Conundrum of Signaling Pathways Cascading Out of Control

14.5  Five Malaria Genomes Sequenced

14.6 Rheumatoid Arthritis Risk

14.7 Approach to Controlling Pathogenic Inflammation in Arthritis

14.8 RNA Virus Genome as Bacterial Chromosome

14.9 Cloning the Vaccinia Virus Genome as a Bacterial Artificial Chromosome

Chapter 15

15.1 Personalized Cardiovascular Genetic Medicine at Partners HealthCare and Harvard Medical School

15.2 Congestive Heart Failure & Personalized Medicine: Two-gene Test predicts response to Beta Blocker Bucindolol

15.3 DDAH Says NO to ADMA(1); The DDAH/ADMA/NOS Pathway(2)

15.4 Peroxisome Proliferator-Activated Receptor (PPAR-gamma) Receptors Activation: PPARγ Transrepression for Angiogenesis in Cardiovascular Disease and PPARγ Transactivation for Treatment of Diabetes

15.5 BARI 2D Trial Outcomes

15.6 Gene Therapy Into Healthy Heart Muscle: Reprogramming Scar Tissue In Damaged Hearts

15.7 Obstructive coronary artery disease diagnosed by RNA levels of 23 genes – CardioDx, a Pioneer in the Field of Cardiovascular Genomic  Diagnostics

15.8 Ca2+ signaling: transcriptional control

15.9 Lp(a) Gene Variant Association

15.9.1 Two Mutations, in the PCSK9 Gene: Eliminates a Protein involved in Controlling LDL Cholesterol

15.9.2. Genomics & Genetics of Cardiovascular Disease Diagnoses: A Literature Survey of AHA’s Circulation Cardiovascular Genetics, 3/2010 – 3/2013

15.9.3 Synthetic Biology: On Advanced Genome Interpretation for Gene Variants and Pathways: What is the Genetic Base of Atherosclerosis and Loss of Arterial Elasticity with Aging

15.9.4 The Implications of a Newly Discovered CYP2J2 Gene Polymorphism Associated with Coronary Vascular Disease in the Uygur Chinese Population

15.9.5  Gene, Meis1, Regulates the Heart’s Ability to Regenerate after Injuries.

15.10 Genetics of Conduction Disease: Atrioventricular (AV) Conduction Disease (block): Gene Mutations – Transcription, Excitability, and Energy Homeostasis

15.11 How Might Sleep Apnea Lead to Serious Health Concerns like Cardiac and Cancers?

Chapter 16

16.1 Can Resolvins Suppress Acute Lung Injury?

16.2 Lipoxin A4 Regulates Natural Killer Cell in Asthma

16.3 Biological Therapeutics for Asthma

16.4 Genomics of Bronchial Epithelial Dysplasia

16.5 Progression in Bronchial Dysplasia

Chapter 17

17.1 Breakthrough Digestive Disorders Research: Conditions Affecting the Gastrointestinal Tract.

17.2 Liver Endoplasmic Reticulum Stress and Hepatosteatosis

17.3 Biomarkers-identified-for-recurrence-in-hbv-related-hcc-patients-post-surgery

17.4  Usp9x: Promising Therapeutic Target for Pancreatic Cancer

17.5 Battle of Steve Jobs and Ralph Steinman with Pancreatic cancer: How We Lost

Chapter 18

18.1 Ubiquitin Pathway Involved in Neurodegenerative Disease

18.2 Genomic Promise for Neurodegenerative Diseases, Dementias, Autism Spectrum, Schizophrenia, and Serious Depression

18.3 Neuroprotective Therapies: Pharmacogenomics vs Psychotropic Drugs and Cholinesterase Inhibitors

18.4 Ustekinumab New Drug Therapy for Cognitive Decline Resulting from Neuroinflammatory Cytokine Signaling and Alzheimer’s Disease

18.5 Cell Transplantation in Brain Repair

18.6 Alzheimer’s Disease Conundrum – Are We Near the End of the Puzzle?

Chapter 19

19.1 Genetics and Male Endocrinology

19.2 Genomic Endocrinology and its Future

19.3 Commentary on Dr. Baker’s post “Junk DNA Codes for Valuable miRNAs: Non-coding DNA Controls Diabetes”

19.4 Therapeutic Targets for Diabetes and Related Metabolic Disorders

19.5 Secondary Hypertension caused by Aldosterone-producing Adenomas caused by Somatic Mutations in ATP1A1 and ATP2B3 (adrenal cortical; medullary or Organ of Zuckerkandl is pheochromocytoma)

19.6 Personal Recombination Map from Individual’s Sperm Cell and its Importance

19.7 Gene Trap Mutagenesis in Reproductive Research

19.8 Pregnancy with a Leptin-Receptor Mutation

19.9 Whole-genome Sequencing in Probing the Meiotic Recombination and Aneuploidy of Single Sperm Cells

19.10 Reproductive Genetic Testing

Chapter 20

20.1 Genomics & Ethics: DNA Fragments are Products of Nature or Patentable Genes?

20.2 Understanding the Role of Personalized Medicine

20.3 Attitudes of Patients about Personalized Medicine

20.4  Genome Sequencing of the Healthy

20.5   Genomics in Medicine – Tomorrow’s Promise

20.6  The Promise of Personalized Medicine

20.7 Ethical Concerns in Personalized Medicine: BRCA1/2 Testing in Minors and Communication of Breast Cancer Risk

 20.8 Genomic Liberty of Ownership, Genome Medicine and Patenting the Human Genome

Chapter 21

Recent Advances in Gene Editing Technology Adds New Therapeutic Potential for the Genomic Era:  Medical Interpretation of the Genomics Frontier – CRISPR – Cas9

Introduction

21.1 Introducing CRISPR/Cas9 Gene Editing Technology – Works by Jennifer A. Doudna

21.1.1 Ribozymes and RNA Machines – Work of Jennifer A. Doudna

21.1.2 Evaluate your Cas9 gene editing vectors: CRISPR/Cas Mediated Genome Engineering – Is your CRISPR gRNA optimized for your cell lines?

21.1.3 2:15 – 2:45, 6/13/2014, Jennifer Doudna “The biology of CRISPRs: from genome defense to genetic engineering”

21.1.4  Prediction of the Winner RNA Technology, the FRONTIER of SCIENCE on RNA Biology, Cancer and Therapeutics  & The Start Up Landscape in BostonGene Editing – New Technology The Missing link for Gene Therapy?

21.2 CRISPR in Other Labs

21.2.1 CRISPR @MIT – Genome Surgery

21.2.2 The CRISPR-Cas9 System: A Powerful Tool for Genome Engineering and Regulation

Yongmin Yan and Department of Gastroenterology, Hepatology & Nutrition, University of Texas M.D. Anderson Cancer, Houston, USADaoyan Wei*

21.2.3 New Frontiers in Gene Editing: Transitioning From the Lab to the Clinic, February 19-20, 2015 | The InterContinental San Francisco | San Francisco, CA

21.2.4 Gene Therapy and the Genetic Study of Disease: @Berkeley and @UCSF – New DNA-editing technology spawns bold UC initiative as Crispr Goes Global

21.2.5 CRISPR & MAGE @ George Church’s Lab @ Harvard

21.3 Patents Awarded and Pending for CRISPR

21.3.1 Litigation on the Way: Broad Institute Gets Patent on Revolutionary Gene-Editing Method

21.3.2 The Patents for CRISPR, the DNA editing technology as the Biggest Biotech Discovery of the Century

2.4 CRISPR/Cas9 Applications

21.4.1  Inactivation of the human papillomavirus E6 or E7 gene in cervical carcinoma cells using a bacterial CRISPR/Cas 

21.4.2 CRISPR: Applications for Autoimmune Diseases @UCSF

21.4.3 In vivo validated mRNAs

21.4.6 Level of Comfort with Making Changes to the DNA of an Organism

21.4.7 Who will be the the First to IPO: Novartis bought in to Intellia (UC, Berkeley) as well as Caribou (UC, Berkeley) vs Editas (MIT)??

21.4.8 CRISPR/Cas9 Finds Its Way As an Important Tool For Drug Discovery & Development

Summary

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Oncolytic Virotherapy for Pancreatic Cancer: Overcoming Obstacles in Oncolytic Virus Delivery

Reporter: Aviva Lev-Ari, PhD, RN

 

We covered MGH’s Innovation on Tumor targeted therapy in Pancreatic Cancer in

Pancreatic Cancer Targeted Treatment?

Curator: Larry H. Bernstein, MD, FCAP

https://pharmaceuticalintelligence.com/2016/05/18/pancreatic-cancer-targeted-treatment/

 

Below, we report on the State of the Science for Overcoming Obstacles in Oncolytic Virus Delivery and provide the source for all the references used

 

ONCOLYTIC VIROTHERAPY FOR PANCREATIC CANCER

Adenovirus

ONYX-015 was the first TOV used in a clinical trial for pancreatic cancer. ONYX-015 was administered intratumourally under endoscopic ultrasound-guidance into patients with locally advanced adenocarcinoma of the pancreas or metastatic disease in phase I/II trials[132]. The treatment was well-tolerated in most patients, however no objective responses were seen with ONYX-015 as a single agent and only 2/21 patients experienced mild responses when combined with gemcitabine[132]. A second adenovirus vector carries a deletion in the E1A gene[133]. E1A normally binds to the retinoblastoma protein, forcing cells to prematurely enter the S phase of the cell cycle. Since most pancreatic cancers harbor a mutation in CDKN2A[134], the E1A protein is unnecessary for entry of the TOV into cancer cells. Furthermore a double-deleted (E1A and E1B19) adenovirus demonstrated increase potency and selectivity in pancreatic cancer models[135,136]. This demonstrates that TOVs can be genetically engineered to increase selectivity and efficacy while maintaining their potency. Adenovirus selectivity has also been improved by engineering tumour-specific promoters such as a human CEA promoter[137] or by substituting the adenovirus serotype 5 fiber knob with the fiber knob from serotype 3[138]. The potency of TOVs can also be improved further by engineering them with therapeutic genes that stimulate the immune system and/or improve direct oncolysis. Adenovirus ZD55-IL-24 expressing IL-24 locally in pancreatic tumours in immune competent mice inhibited tumour growth and induced a stronger T cell response compared to its backbone virus, as measured by IL-6 and IFN-γ levels[139].

HSV

Two oncolytic HSV-1 vectors are currently in clinical trials for the treatment of pancreatic cancer. HF10 is a non-engineered, naturally occurring oncolytic HSV that demonstrated regression in 1/6 of the patients treated[140,141]. OncoVex GM-CSF is a ∆34.5 and ICP47-deleted mutant expressing GM-CSF, whereby the deletions allow for tumour-selective replication and inhibition of protein-kinase R activation, respectively[142]. Phase I/II trials in various solid tumours demonstrated OncoVex GM-CSF to be well-tolerated at high and repeated doses[143,144]. A phase I clinical trial with OncoVex GM-CSF in patients with unresectable pancreatic cancer is underway.

Poxviruses

The most widely studied poxvirus is VV, which is highly immunogenic and produces a strong cytotoxic T cell response[145] and circulating neutralizing antibodies which can be detected decades later[146]. For its crucial role in the eradication of smallpox, much has been learned about its potential role in immunotherapy today. The Lister strain of vaccinia remarkably showed no replication degradation even under the hypoxic conditions of PDAC[147]. A second Lister strain, thymidine kinase-deleted replicating VV armed with IL-10 demonstrated superior and long-lasting antitumour immunity in both a subcutaneous pancreatic cancer model and a Kras-p53 mutant-transgenic pancreatic cancer model after systemic delivery compared to its unarmed backbone virus[148]. Myxoma virus, a rabbit-specific poxvirus combined with gemcitabine resulted in 100% long-term survival in Pan02-engrafted immunocompetent intraperitoneal dissemination models of pancreatic cancer[149]. The only poxvirus to be tested in clinical trials is a non-replicative VV that expresses the pancreatic TAAs CEA and MUC-2[150]. The vaccine also includes a triad of costimulatory molecules, B7.1 (CD80), ICAM-1 (intra-cellular adhesion molecule-1) and LFA-3 (leukocyte function-associated antigen-3) (TRICOM) (PANVAC-VF)[150]. GM-CSF was also used as an adjuvant following each vaccination of PANVAC-VF. Phase I trials demonstrated antigen-specific antitumour responses in 62.5% of patients enrolled and antibody responses against VV was observed in all ten patients, which was associated with an increase in survival (15.1 mo vs 3.9 mo)[48]. A phase III clinical trial for the treatment of metastatic pancreatic cancer after failing treatment with gemcitabine, however, was terminated after failing to reach its primary efficacy endpoint[151].

Other pre-clinical TOVs for pancreatic cancer therapy

Parvovirus, measles virus and reovirus have also demonstrated pre-clinical activity in pancreatic cancer models. Parvoviruses particularly demonstrated enhanced IL-2-activated NK responses against PDAC cells[152,153]. An armed measles virus (MV), MV-purine nucleoside phosphorylase (PNP)-anti-prostate stem cell antigen, that expresses the prodrug convertase PNP, which then activates the prodrug fludarabine, was shown to enhance the oncolytic efficacy of the virus in gemcitabine-resistant PDAC cells[154]. Reovirus is another promising TOV for pancreatic cancer therapy, particularly because its selectivity depends on the cellular activity of Ras, which is constitutively active in pancreatic cancer[155]. Reolysin® (Oncolytics Biotech Inc., Calgary, AB, Canada) a reovirus administered intraportally resulted in decreased metastatic tumour volumes in the liver of immunocompetent animal models[156,157]. A phase II study of Reolysin® in combination with gemcitabine in patients with advanced PDAC has been completed (clinicaltrials.gov: NCT00998322). A two-armed randomized phase II study of carboplatin and paclitaxel plus Reolysin® vs carboplatin and paclitaxel alone in recurrent or metastatic pancreatic cancer is currently being conducted by the United States National Cancer Institute (NCI-8601/OSU-10045).

RATIONALIZING VIRO-IMMUNE-CHECKPOINT COMBINATION THERAPY

A understanding how antitumour immunity is regulated allows us to recognize barriers against effective immunotherapy delivery and furthermore, allow for the development of rational combination therapies aiming targeting these mechanisms[108,158,159]. This approach allows therapies to work synergistically and also has the potential to benefit a broader patient population[108]. Tumours have evolved to avoid immune recognition and/or destruction at every stage in the antitumour response, therefore targeting more than one immune resistance mechanism will enhance antitumour immunity.

An important immunological barrier in cancer immunotherapy is the tolerance towards self-antigens. Tumours downregulate their antigenicity through various mechanisms in response to selective pressure by the immune system, a process called “immunoediting”[37]. Therefore, in order to raise an effective antitumour response, the immunological tolerance must be broken to allow tumour antigen-specific cytotoxic T cell responses[158]. This can be achieved by increasing the tumour load and/or enhance antigen presentation[108]. TOVs can initiate selective infection and replication in the tumour bed, exposing TAA, disrupting the immunotolerance employed by the tumour while re-engaging adaptive immune effector responses[39]. Combining an agent that can cause disruption to the tumour bed i.e., an oncolytic virus, with a novel antitumour immunomodulating agent such as anti-PD-1/PD-L1 antibodies can maximize immune-stimulating and immune-recruiting inflammatory responses[39]. Specifically, TOV lysis induces the release of tumour antigens into the microenvironment, which are then cross-presented to T cells in the draining lymph nodes by APCs[159] (Figure (Figure1).1). This allows T cell infiltration to the tumour bed. Next, T cell dysfunction must be reversed[108,158]. Immune checkpoint inhibitors alleviate immunosuppression, allowing the elimination of the tumour by the adaptive immune system[70]. TOVs in combination with immune checkpoint inhibitors can therefore potentiate and activate the immune system synergistically, ultimately creating a pro-inflammatory environment. Pre-existing TILs are strong prognostic predictors in cancer[106]. This is extremely relevant for tumours with poor immune-cell infiltration, such as pancreatic cancer, which would depend on TOV-infection mediated lymphocyte infiltration for an enhanced response to immune checkpoint blockade. Zamarin et al[160] demonstrated constrained replication of an intratumoural-injected Newcastle disease virus in a B16 melanoma model. Lymphocytic infiltrates, however, were detected in both TOV-injected and non-TOV-injected tumours, and rendered the tumours sensitive to CTLA-4 blockade. The antitumour activity was dependent on CD8+ T cells, NK cells and type I and II IFNs[160]. Ipilimumab with or without talimogene laherparapvec, is in early clinical testing in patients with unresected melanoma (clinicaltrials.org: NCT01740297). Interestingly, an MV engineered to express CTLA-4 or PD-L1 antibodies delayed tumour progression and prolonged median OS in B16 melanoma models[161]. Finally, TOVs have demonstrated a tolerable toxicity profile, whereby flu-like symptoms are the most common adverse events, and in fact, most of the side effects seen so far in the combination regiment are related to the immune checkpoint blockade inhibitor[162]. Dias et al[163] suggested an oncolytic adenovirus expressing CTLA-4 locally might reduce systemic side effects normally induced with anti-CTLA-4 antibodies alone.

OVERCOMING OBSTACLES IN ONCOLYTIC VIRUS DELIVERY

The main issue with virotherapy is systemic delivery for targeting metastatic cancer cells. Intravenous administration is more practical, especially for treatment of a tumour in a hard-to-reach location such as the pancreas, and with the majority of patients presenting with advanced or metastatic disease. However, nonimmune human serum and existing anti-TOV antibodies may neutralize the TOV in the bloodstream. Furthermore, non-specific hepatic and splenic sequestration of the TOV and ineffective extravasation into the tumours are important issues[164]. Currently, studies in pre-clinical models aim to overcome these obstacles. These include chemical modification of viral coat proteins by conjugation of biocompatible polymers e.g. polyethylene glycosylation[165,166], using mesenchymal stem cell carrier systems to deliver the TOV to the tumour bed[167169], and increasing vessel permeabilization[170,171].

In PDAC, however, the biggest hurdle may not be the host immune system, but the TME. The TME has played a significant role in not only acting as a physical barrier to deliver treatments, but it also in the development of resistance to conventional drugs. The TME remains a problem for successful TOV treatment. The TOV must be able to spread in the hypoxic and densely stromal-rich TME in order to attract enough attention to induce antitumour immunity[172]. Breaching the stromal barrier in PDAC is needed for TOVs to access the cancer cells[173]. Paradoxically, a recent study by Ilkow et al[174] demonstrated that the cross-talk between CAFs and cancer cells actually lead to increased permissibility of TOV-based therapeutics. Tumour cells producing TGF-α reprogrammed CAFs, dampening levels of anti-viral transcripts. This allowed the cells to be more sensitive to VV, vesicular stomatitis virus and maraba MG1 TOVs. The reprogrammed CAFs produced fibroblast growth factor (FGF)-2 which suppressed levels of retinoic acid-inducible gene I and increased the susceptibility of the tumour cells to virus[175]. This study also demonstrated that an FGF2-expressing TOV has improved therapeutic efficacy by sensitizing the tumour cells to virotherapy and is particularly relevant to pancreatic cancers, where CAFs are a major component of the tumour stroma[175]. It is important to note that not only the patient’s existing immune system may impede successful TOV therapy, but that the enhanced antitumour response by combinatory approaches (e.g., the inclusion of immune-checkpoint inhibitors) may also impede successful TOV infection, spread and engagement of the immune system. This stresses the importance of determining strategic combinations, dosing and timing schedules in future studies.

CONCLUSION

The poor prognosis of pancreatic cancer due in part to the limited efficacy of conventional and targeted therapies, appeals for a novel strategy to treat this disease. It has become very clear that the immune system has the greatest potential to selectively destroy tumours, and when it is strategically induced, a durable benefit can be achieved. Past and present studies have defined means for tumour escape from immune surveillance and have developed immunotherapies to counteract these mechanisms. However, with the various escape strategies leading to low immunogenicity and highly immunosuppressive tumour beds, a successful control of tumour growth by immunotherapy does not come without various obstacles and challenges. Future steps include the development of immune-monitoring strategies for the identification of biomarkers, to establishment guidelines to assess clinical end points of immunotherapy and finally to evaluate combination therapeutic strategies to maximize clinical benefit[176]. The ability of TOVs to stimulate inflammation, deliver genes and immunomodulatory agents as well as reduce tumour burden by direct cell lysis, allows them to be important therapeutic vectors for a highly immunosuppressed tumour such as PDAC. Immune checkpoint blockade agents can then reverse T cell anergy and further boost OV-induced responses. As this combinatory approach may exist as a double-edged sword, it is crucial to determine appropriate timing, dosing and sequence schedules of each agent.

SOURCE & REFERENCES

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Thriving Three Groups on LinkedIn

Reporter: Aviva Lev-Ari, PhD, RN

Article ID #206: Thriving Three Groups on LinkedIn. Published on 7/20/2016

WordCloud Image Produced by Adam Tubman

Groups Launcher and Group Manager: Aviva Lev-Ari, PhD, RN

Cardiovascular Biotech & Pharma UK & US Networking Group

954 members

https://www.linkedin.com/groups/4357927

Leaders in Pharmaceutical Business Intelligence

350 members

https://www.linkedin.com/groups/4346921

Innovation in Israel

205 members

https://www.linkedin.com/groups/2987122

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Profiling Transcription Factors (TFs) in Single Cell of Tumors: TF as drivers of Tumorigenesis – Therapeutic Target for Drug Discovery

Reporter: Aviva Lev-Ari, PhD, RN

 

Trends Cancer. 2015 Sep 1;1(1):53-65.

Targeting Transcription Factors in Cancer

Author information

  • 1Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA.

Abstract

Transcription factors (TFs) are commonly deregulated in the pathogenesis of human cancer and are a major class of cancer cell dependencies. Consequently, targeting of TFs can be highly effective in treating particular malignancies, as highlighted by the clinical efficacy of agents that target nuclear hormone receptors. In this review we discuss recent advances in our understanding of TFs as drug targets in oncology, with an emphasis on the emerging chemical approaches to modulate TF function. The remarkable diversity and potency of TFs as drivers of cell transformation justifies a continued pursuit of TFs as therapeutic targets for drug discovery.

PMID:
26645049
PMCID:
PMC4669894
[Available on 2016-09-01]
DOI:
10.1016/j.trecan.2015.07.001

Article will be available on September 1, 2016

SOURCE

http://www.ncbi.nlm.nih.gov/pubmed/26645049

Transcription factors in tumors

Profiling transcription factors in single cell

Tumor cells often have aberrant transcription factor expression profiles. The aberration could have its origin at the genomic or transcriptomic level. The potency of transcription factors as drivers of tumorigenesis makes it an attractive therapeutic target for drug discovery.

Read the review

Accurate detection of low frequency transcription factors is a major challenge, especially when one starts from a single cell.

What are the challenges associated with single cell analysis? How can you successfully detect low frequency transcripts from a single cell?

Find out more about single cell analysis

SOURCE

From: Marcus W Feldman <mfeldman@stanford.edu>

Date: Tuesday, July 19, 2016 at 10:08 AM

To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu>

Subject: Fwd: Profiling transcription factors in single cell

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GE Healthcare has acquired Biosafe Group SA, a supplier of Integrated Cell Bioprocessing Systems for Cell Therapy and Regenerative Medicine Industry

Reporter and Curator: Dr. Sudipta Saha, Ph.D.

 

Researchers of University of Texas at San Antonio, USA, have developed a new, non-invasive method which can kill cancer cells in two hours, an advance that may significantly help people with inoperable or hard-to-reach tumours, as well as young children stricken with the deadly disease.

 

The method involves injecting a chemical compound, nitrobenzaldehyde, into the tumour and allowing it to diffuse into the tissue. A beam of light is then aimed at the tissue, causing the cells to become very acidic inside and, essentially, commit suicide. Within two hours, up to 95 per cent of the targeted cancer cells are estimated to be dead.

 

The method was tested against triple negative breast cancer, one of the most aggressive types of cancer and one of the hardest to treat. The prognosis for triple negative breast cancer is usually very poor. One treatment in the laboratory was able to stop the tumour from growing and doubled the chances of survival in the mice.

 

According to the researchers all forms of cancer attempt to make cells acidic on the outside and attract the attention of blood vessels as an attempt to get rid of the acid. But, instead, the cancer cells latches onto the blood vessel and uses it to make the tumour grow bigger.

 

Chemotherapy treatments target all cells in the body, and certain chemotherapeutics try to keep cancer cells acidic as a way to kill the cancer. This is what causes many cancer patients to lose their hair and become weak. This method however, is more precise and can target just the tumour.

 

This research is presently extended on drug-resistant cancer cells to make this therapy as strong as possible. The researchers also started to develop a nanoparticle that can be injected into the body to target metastasised cancer cells. The nanoparticle is activated with a wavelength of light which can pass harmlessly through skin, flesh and bone and still activate the nanoparticle.

 

This non-invasive method will help cancer patients with tumours in areas that have proven problematic for surgeons, such as the brain stem, aorta or spine. It could also help people who have received the maximum amount of radiation treatment and can no longer cope with the scarring and pain that goes along with it, or children who are at risk of developing mutations from radiation as they grow older.

 

References:

 

http://www.ndtv.com/health/researchers-develop-new-method-to-kill-cancer-cells-in-2-hours-1424509

 

https://www.consumeraffairs.com/news/new-non-invasive-cancer-therapy-shows-promise-062916.html

 

http://www.mirror.co.uk/science/new-cancer-treatment-can-kill-8341452

 

https://www.sciencedaily.com/releases/2016/06/160627214423.htm

 

http://reliawire.com/photodynamic-acidification-therapy/

 

http://www.gizmag.com/making-cancer-cells-acidic/44070/

 

 

http://www.oncologynurseadvisor.com/general-oncology/initial-photodynamic-therapy-tests-promising/article/508292/

 

https://www.sciencedaily.com/releases/2016/06/160627214423.htm

 

http://www.thehindu.com/sci-tech/health/new-method-can-kill-cancer-cells-in-two-hours-shows-study/article8785315.ece

 

http://www.aol.com/article/2016/07/06/new-cancer-treatment-method-causes-cells-to-commit-suicide/21424984/

 

http://zeenews.india.com/news/health/diseases-conditions/new-method-that-can-kill-cancer-cells-in-2-hours-developed_1901377.html

 

http://www.digitaltrends.com/health-fitness/ultraviolet-light-kills-cancer-cells/

 

https://www.thesun.co.uk/news/1385404/light-can-kill-cancer-in-just-two-hours/

 

http://www.techtimes.com/articles/168268/20160704/new-cancer-therapy-method-ultraviolet-light-may-soon-replace-chemotherapy.htm

 

https://www.engadget.com/2016/07/01/scientists-use-light-to-nuke-cancer-cells-in-mice/

 

Nuha Buchanan Kadri, Matthew Gdovin, Nizar Alyassin, Justin Avila, Aryana Cruz, Louis Cruz, Steve Holliday, Zachary Jordan, Cameron Ruiz and Jennifer Watts. Photodynamic acidification therapy to reduce triple negative breast cancer growth in vivo. Journal of Clinical Oncology, Vol 34, No 15_suppl (May 20 Supplement), 2016: e12574.

 

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Keystone Symposia on Molecular and Cellular Biology – 2016-2017 Forthcoming Conferences in Life Sciences

Reporter: Aviva Lev-Ari, PhD, RN

2016-2017 Forthcoming Conferences in Life Sciences by topic:

DNA Replication and Recombination (Z2)
April 2 – 6, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: John F.X. Diffley, Anja Groth and Scott Keeney

Immunology

Translational Vaccinology for Global Health (S1)
October 25 – 29, 2016 | London, United Kingdom
Scientific Organizers: Christopher L. Karp, Gagandeep Kang and Rino Rappuoli

Hemorrhagic Fever Viruses (S3)
December 4 – 8, 2016 | Santa Fe, New Mexico, USA
Scientific Organizers: William E. Dowling and Thomas W. Geisbert

Cell Plasticity within the Tumor Microenvironment (A1)
January 8 – 12, 2017 | Big Sky, Montana, USA
Scientific Organizers: Sergei Grivennikov, Florian R. Greten and Mikala Egeblad

TGF-ß in Immunity, Inflammation and Cancer (A3)
January 9 – 13, 2017 | Taos, New Mexico, USA
Scientific Organizers: Wanjun Chen, Joanne E. Konkel and Richard A. Flavell

New Developments in Our Basic Understanding of Tuberculosis (A5)
January 14 – 18, 2017 | Vancouver, British Columbia, Canada
Scientific Organizers: Samuel M. Behar and Valerie Mizrahi

PI3K Pathways in Immunology, Growth Disorders and Cancer (A6)
January 19 – 23, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Leon O. Murphy, Klaus Okkenhaug and Sabina C. Cosulich

Biobetters and Next-Generation Biologics: Innovative Strategies for Optimally Effective Therapies (A7)
January 22 – 26, 2017 | Snowbird, Utah, USA
Scientific Organizers: Cherié L. Butts, Amy S. Rosenberg, Amy D. Klion and Sachdev S. Sidhu

Obesity and Adipose Tissue Biology (J4)
January 22 – 26, 2017 | Keystone, Colorado, USA
Scientific Organizers: Marc L. Reitman, Ruth E. Gimeno and Jan Nedergaard

Inflammation-Driven Cancer: Mechanisms to Therapy (J7)
February 5 – 9, 2017 | Keystone, Colorado, USA
Scientific Organizers: Fiona M. Powrie, Michael Karin and Alberto Mantovani

Autophagy Network Integration in Health and Disease (B2)
February 12 – 16, 2017 | Copper Mountain, Colorado, USA
Scientific Organizers: Ivan Dikic, Katja Simon and J. Wade Harper

Asthma: From Pathway Biology to Precision Therapeutics (B3)
February 12 – 16, 2017 | Keystone, Colorado, USA
Scientific Organizers: Clare M. Lloyd, John V. Fahy and Sally Wenzel-Morganroth

Viral Immunity: Mechanisms and Consequences (B4)
February 19 – 23, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Akiko Iwasaki, Daniel B. Stetson and E. John Wherry

Lipidomics and Bioactive Lipids in Metabolism and Disease (B6)
February 26 – March 2, 2017 | Tahoe City, California, USA
Scientific Organizers: Alfred H. Merrill, Walter Allen Shaw, Sarah Spiegel and Michael J.O.Wakelam

Bile Acid Receptors as Signal Integrators in Liver and Metabolism (C1)
March 3 – 7, 2017 | Monterey, California, USA
Scientific Organizers: Luciano Adorini, Kristina Schoonjans and Scott L. Friedman

Cancer Immunology and Immunotherapy: Taking a Place in Mainstream Oncology (C7)
March 19 – 23, 2017 | Whistler, British Columbia, Canada
Scientific Organizers: Robert D. Schreiber, James P. Allison, Philip D. Greenberg and Glenn Dranoff

Pattern Recognition Signaling: From Innate Immunity to Inflammatory Disease (X5)
March 19 – 23, 2017 | Banff, Alberta, Canada
Scientific Organizers: Thirumala-Devi Kanneganti, Vishva M. Dixit and Mohamed Lamkanfi

Type I Interferon: Friend and Foe Alike (X6)
March 19 – 23, 2017 | Banff, Alberta, Canada
Scientific Organizers: Alan Sher, Virginia Pascual, Adolfo García-Sastre and Anne O’Garra

Injury, Inflammation and Fibrosis (C8)
March 26 – 30, 2017 | Snowbird, Utah, USA
Scientific Organizers: Tatiana Kisseleva, Michael Karin and Andrew M. Tager

Immune Regulation in Autoimmunity and Cancer (D1)
March 26 – 30, 2017 | Whistler, British Columbia, Canada
Scientific Organizers: David A. Hafler, Vijay K. Kuchroo and Jane L. Grogan

B Cells and T Follicular Helper Cells – Controlling Long-Lived Immunity (D2)
April 23 – 27, 2017 | Whistler, British Columbia, Canada
Scientific Organizers: Stuart G. Tangye, Ignacio Sanz and Hai Qi

Mononuclear Phagocytes in Health, Immune Defense and Disease (D3)
April 30 – May 4, 2017 | Austin, Texas, USA
Scientific Organizers: Steffen Jung and Miriam Merad

Modeling Viral Infections and Immunity (E1)
May 1 – 4, 2017 | Estes Park, Colorado, USA
Scientific Organizers: Alan S. Perelson, Rob J. De Boer and Phillip D. Hodgkin

Integrating Metabolism and Immunity (E4)
May 29 – June 2, 2017 | Dublin, Ireland
Scientific Organizers: Hongbo Chi, Erika L. Pearce, Richard A. Flavell and Luke A.J. O’Neill

Neuroinflammation: Concepts, Characteristics, Consequences (E5)
June 19 – 23, 2017 | Keystone, Colorado, USA
Scientific Organizers: Richard M. Ransohoff, Christopher K. Glass and V. Hugh Perry

Infectious Diseases

Translational Vaccinology for Global Health (S1)
October 25 – 29, 2016 | London, United Kingdom
Scientific Organizers: Christopher L. Karp, Gagandeep Kang and Rino Rappuoli

Hemorrhagic Fever Viruses (S3)
December 4 – 8, 2016 | Santa Fe, New Mexico, USA
Scientific Organizers: William E. Dowling and Thomas W. Geisbert

Cellular Stress Responses and Infectious Agents (S4)
December 4 – 8, 2016 | Santa Fe, New Mexico, USA
Scientific Organizers: Margo A. Brinton, Sandra K. Weller and Beth Levine

New Developments in Our Basic Understanding of Tuberculosis (A5)
January 14 – 18, 2017 | Vancouver, British Columbia, Canada
Scientific Organizers: Samuel M. Behar and Valerie Mizrahi

Autophagy Network Integration in Health and Disease (B2)
February 12 – 16, 2017 | Copper Mountain, Colorado, USA
Scientific Organizers: Ivan Dikic, Katja Simon and J. Wade Harper

Viral Immunity: Mechanisms and Consequences (B4)
February 19 – 23, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Akiko Iwasaki, Daniel B. Stetson and E. John Wherry

Malaria: From Innovation to Eradication (B5)
February 19 – 23, 2017 | Kampala, Uganda
Scientific Organizers: Marcel Tanner, Sarah K. Volkman, Marcus V.G. Lacerda and Salim Abdulla

Type I Interferon: Friend and Foe Alike (X6)
March 19 – 23, 2017 | Banff, Alberta, Canada
Scientific Organizers: Alan Sher, Virginia Pascual, Adolfo García-Sastre and Anne O’Garra

HIV Vaccines (C9)
March 26 – 30, 2017 | Steamboat Springs, Colorado, USA
Scientific Organizers: Andrew B. Ward, Penny L. Moore and Robin Shattock

Modeling Viral Infections and Immunity (E1)
May 1 – 4, 2017 | Estes Park, Colorado, USA
Scientific Organizers: Alan S. Perelson, Rob J. De Boer and Phillip D. Hodgkin

Metabolic Diseases

Mitochondria Communication (A4)
January 14 – 18, 2017 | Taos, New Mexico, USA
Scientific Organizers: Jared Rutter, Cole M. Haynes and Marcia C. Haigis

Diabetes (J3)
January 22 – 26, 2017 | Keystone, Colorado, USA
Scientific Organizers: Jiandie Lin, Clay F. Semenkovich and Rohit N. Kulkarni

Obesity and Adipose Tissue Biology (J4)
January 22 – 26, 2017 | Keystone, Colorado, USA
Scientific Organizers: Marc L. Reitman, Ruth E. Gimeno and Jan Nedergaard

Microbiome in Health and Disease (J8)
February 5 – 9, 2017 | Keystone, Colorado, USA
Scientific Organizers: Julie A. Segre, Ramnik Xavier and William Michael Dunne

Bile Acid Receptors as Signal Integrators in Liver and Metabolism (C1)
March 3 – 7, 2017 | Monterey, California, USA
Scientific Organizers: Luciano Adorini, Kristina Schoonjans and Scott L. Friedman

Sex and Gender Factors Affecting Metabolic Homeostasis, Diabetes and Obesity (C6)
March 19 – 22, 2017 | Tahoe City, California, USA
Scientific Organizers: Franck Mauvais-Jarvis, Deborah Clegg and Arthur P. Arnold

Neuronal Control of Appetite, Metabolism and Weight (Z5)
May 9 – 13, 2017 | Copenhagen, Denmark
Scientific Organizers: Lora K. Heisler and Scott M. Sternson

Gastrointestinal Control of Metabolism (Z6)
May 9 – 13, 2017 | Copenhagen, Denmark
Scientific Organizers: Randy J. Seeley, Matthias H. Tschöp and Fiona M. Gribble

Integrating Metabolism and Immunity (E4)
May 29 – June 2, 2017 | Dublin, Ireland
Scientific Organizers: Hongbo Chi, Erika L. Pearce, Richard A. Flavell and Luke A.J. O’Neill

Neurobiology

Transcriptional and Epigenetic Control in Stem Cells (J1)
January 8 – 12, 2017 | Olympic Valley, California, USA
Scientific Organizers: Konrad Hochedlinger, Kathrin Plath and Marius Wernig

Neurogenesis during Development and in the Adult Brain (J2)
January 8 – 12, 2017 | Olympic Valley, California, USA
Scientific Organizers: Alysson R. Muotri, Kinichi Nakashima and Xinyu Zhao

Rare and Undiagnosed Diseases: Discovery and Models of Precision Therapy (C2)
March 5 – 8, 2017 | Boston, Massachusetts, USA
Scientific Organizers: William A. Gahl and Christoph Klein

mRNA Processing and Human Disease (C3)
March 5 – 8, 2017 | Taos, New Mexico, USA
Scientific Organizers: James L. Manley, Siddhartha Mukherjee and Gideon Dreyfuss

Synapses and Circuits: Formation, Function, and Dysfunction (X1)
March 5 – 8, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Tony Koleske, Yimin Zou, Kristin Scott and A. Kimberley McAllister

Connectomics (X2)
March 5 – 8, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Olaf Sporns, Danielle Bassett and Jeremy Freeman

Neuronal Control of Appetite, Metabolism and Weight (Z5)
May 9 – 13, 2017 | Copenhagen, Denmark
Scientific Organizers: Lora K. Heisler and Scott M. Sternson

Neuroinflammation: Concepts, Characteristics, Consequences (E5)
June 19 – 23, 2017 | Keystone, Colorado, USA
Scientific Organizers: Richard M. Ransohoff, Christopher K. Glass and V. Hugh Perry

Plant Biology

Phytobiomes: From Microbes to Plant Ecosystems (S2)
November 8 – 12, 2016 | Santa Fe, New Mexico, USA
Scientific Organizers: Jan E. Leach, Kellye A. Eversole, Jonathan A. Eisen and Gwyn Beattie

Structural Biology

Frontiers of NMR in Life Sciences (C5)
March 12 – 16, 2017 | Keystone, Colorado, USA
Scientific Organizers: Kurt Wüthrich, Michael Sattler and Stephen W. Fesik

Technologies

Cell Plasticity within the Tumor Microenvironment (A1)
January 8 – 12, 2017 | Big Sky, Montana, USA
Scientific Organizers: Sergei Grivennikov, Florian R. Greten and Mikala Egeblad

Precision Genome Engineering (A2)
January 8 – 12, 2017 | Breckenridge, Colorado, USA
Scientific Organizers: J. Keith Joung, Emmanuelle Charpentier and Olivier Danos

Transcriptional and Epigenetic Control in Stem Cells (J1)
January 8 – 12, 2017 | Olympic Valley, California, USA
Scientific Organizers: Konrad Hochedlinger, Kathrin Plath and Marius Wernig

Protein-RNA Interactions: Scale, Mechanisms, Structure and Function of Coding and Noncoding RNPs (J6)
February 5 – 9, 2017 | Banff, Alberta, Canada
Scientific Organizers: Gene W. Yeo, Jernej Ule, Karla Neugebauer and Melissa J. Moore

Lipidomics and Bioactive Lipids in Metabolism and Disease (B6)
February 26 – March 2, 2017 | Tahoe City, California, USA
Scientific Organizers: Alfred H. Merrill, Walter Allen Shaw, Sarah Spiegel and Michael J.O.Wakelam

Connectomics (X2)
March 5 – 8, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Olaf Sporns, Danielle Bassett and Jeremy Freeman

Engineered Cells and Tissues as Platforms for Discovery and Therapy (K1)
March 9 – 12, 2017 | Boston, Massachusetts, USA
Scientific Organizers: Laura E. Niklason, Milica Radisic and Nenad Bursac

Frontiers of NMR in Life Sciences (C5)
March 12 – 16, 2017 | Keystone, Colorado, USA
Scientific Organizers: Kurt Wüthrich, Michael Sattler and Stephen W. Fesik

October 2016

Translational Vaccinology for Global Health (S1)
October 25 – 29, 2016 | London, United Kingdom
Scientific Organizers: Christopher L. Karp, Gagandeep Kang and Rino Rappuoli

November 2016

Phytobiomes: From Microbes to Plant Ecosystems (S2)
November 8 – 12, 2016 | Santa Fe, New Mexico, USA
Scientific Organizers: Jan E. Leach, Kellye A. Eversole, Jonathan A. Eisen and Gwyn Beattie

December 2016

Hemorrhagic Fever Viruses (S3)
December 4 – 8, 2016 | Santa Fe, New Mexico, USA
Scientific Organizers: William E. Dowling and Thomas W. Geisbert

Cellular Stress Responses and Infectious Agents (S4)
December 4 – 8, 2016 | Santa Fe, New Mexico, USA
Scientific Organizers: Margo A. Brinton, Sandra K. Weller and Beth Levine

January 2017

Cell Plasticity within the Tumor Microenvironment (A1)
January 8 – 12, 2017 | Big Sky, Montana, USA
Scientific Organizers: Sergei Grivennikov, Florian R. Greten and Mikala Egeblad

Precision Genome Engineering (A2)
January 8 – 12, 2017 | Breckenridge, Colorado, USA
Scientific Organizers: J. Keith Joung, Emmanuelle Charpentier and Olivier Danos

Transcriptional and Epigenetic Control in Stem Cells (J1)
January 8 – 12, 2017 | Olympic Valley, California, USA
Scientific Organizers: Konrad Hochedlinger, Kathrin Plath and Marius Wernig

Neurogenesis during Development and in the Adult Brain (J2)
January 8 – 12, 2017 | Olympic Valley, California, USA
Scientific Organizers: Alysson R. Muotri, Kinichi Nakashima and Xinyu Zhao

TGF-ß in Immunity, Inflammation and Cancer (A3)
January 9 – 13, 2017 | Taos, New Mexico, USA
Scientific Organizers: Wanjun Chen, Joanne E. Konkel and Richard A. Flavell

Mitochondria Communication (A4)
January 14 – 18, 2017 | Taos, New Mexico, USA
Scientific Organizers: Jared Rutter, Cole M. Haynes and Marcia C. Haigis

New Developments in Our Basic Understanding of Tuberculosis (A5)
January 14 – 18, 2017 | Vancouver, British Columbia, Canada
Scientific Organizers: Samuel M. Behar and Valerie Mizrahi

PI3K Pathways in Immunology, Growth Disorders and Cancer (A6)
January 19 – 23, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Leon O. Murphy, Klaus Okkenhaug and Sabina C. Cosulich

Biobetters and Next-Generation Biologics: Innovative Strategies for Optimally Effective Therapies (A7)
January 22 – 26, 2017 | Snowbird, Utah, USA
Scientific Organizers: Cherié L. Butts, Amy S. Rosenberg, Amy D. Klion and Sachdev S. Sidhu

Diabetes (J3)
January 22 – 26, 2017 | Keystone, Colorado, USA
Scientific Organizers: Jiandie Lin, Clay F. Semenkovich and Rohit N. Kulkarni

Obesity and Adipose Tissue Biology (J4)
January 22 – 26, 2017 | Keystone, Colorado, USA
Scientific Organizers: Marc L. Reitman, Ruth E. Gimeno and Jan Nedergaard

Omics Strategies to Study the Proteome (A8)
January 29 – February 2, 2017 | Breckenridge, Colorado, USA
Scientific Organizers: Alan Saghatelian, Chuan He and Ileana M. Cristea

Epigenetics and Human Disease: Progress from Mechanisms to Therapeutics (A9)
January 29 – February 2, 2017 | Seattle, Washington, USA
Scientific Organizers: Johnathan R. Whetstine, Jessica K. Tyler and Rab K. Prinjha

Hematopoiesis (B1)
January 31 – February 4, 2017 | Banff, Alberta, Canada
Scientific Organizers: Catriona H.M. Jamieson, Andreas Trumpp and Paul S. Frenette

February 2017

Noncoding RNAs: From Disease to Targeted Therapeutics (J5)
February 5 – 9, 2017 | Banff, Alberta, Canada
Scientific Organizers: Kevin V. Morris, Archa Fox and Paloma Hoban Giangrande

Protein-RNA Interactions: Scale, Mechanisms, Structure and Function of Coding and Noncoding RNPs (J6)
February 5 – 9, 2017 | Banff, Alberta, Canada
Scientific Organizers: Gene W. Yeo, Jernej Ule, Karla Neugebauer and Melissa J. Moore

Inflammation-Driven Cancer: Mechanisms to Therapy (J7)
February 5 – 9, 2017 | Keystone, Colorado, USA
Scientific Organizers: Fiona M. Powrie, Michael Karin and Alberto Mantovani

Microbiome in Health and Disease (J8)
February 5 – 9, 2017 | Keystone, Colorado, USA
Scientific Organizers: Julie A. Segre, Ramnik Xavier and William Michael Dunne

Autophagy Network Integration in Health and Disease (B2)
February 12 – 16, 2017 | Copper Mountain, Colorado, USA
Scientific Organizers: Ivan Dikic, Katja Simon and J. Wade Harper

Asthma: From Pathway Biology to Precision Therapeutics (B3)
February 12 – 16, 2017 | Keystone, Colorado, USA
Scientific Organizers: Clare M. Lloyd, John V. Fahy and Sally Wenzel-Morganroth

Viral Immunity: Mechanisms and Consequences (B4)
February 19 – 23, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Akiko Iwasaki, Daniel B. Stetson and E. John Wherry

Malaria: From Innovation to Eradication (B5)
February 19 – 23, 2017 | Kampala, Uganda
Scientific Organizers: Marcel Tanner, Sarah K. Volkman, Marcus V.G. Lacerda and Salim Abdulla

Lipidomics and Bioactive Lipids in Metabolism and Disease (B6)
February 26 – March 2, 2017 | Tahoe City, California, USA
Scientific Organizers: Alfred H. Merrill, Walter Allen Shaw, Sarah Spiegel and Michael J.O.Wakelam

March 2017

Bile Acid Receptors as Signal Integrators in Liver and Metabolism (C1)
March 3 – 7, 2017 | Monterey, California, USA
Scientific Organizers: Luciano Adorini, Kristina Schoonjans and Scott L. Friedman

Rare and Undiagnosed Diseases: Discovery and Models of Precision Therapy (C2)
March 5 – 8, 2017 | Boston, Massachusetts, USA
Scientific Organizers: William A. Gahl and Christoph Klein

mRNA Processing and Human Disease (C3)
March 5 – 8, 2017 | Taos, New Mexico, USA
Scientific Organizers: James L. Manley, Siddhartha Mukherjee and Gideon Dreyfuss

Kinases: Next-Generation Insights and Approaches (C4)
March 5 – 9, 2017 | Breckenridge, Colorado, USA
Scientific Organizers: Reid M. Huber, John Kuriyan and Ruth H. Palmer

Synapses and Circuits: Formation, Function, and Dysfunction (X1)
March 5 – 8, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Tony Koleske, Yimin Zou, Kristin Scott and A. Kimberley McAllister

Connectomics (X2)
March 5 – 8, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Olaf Sporns, Danielle Bassett and Jeremy Freeman

Tumor Metabolism: Mechanisms and Targets (X3)
March 5 – 9, 2017 | Whistler, British Columbia, Canada
Scientific Organizers: Brendan D. Manning, Kathryn E. Wellen and Reuben J. Shaw

Adaptations to Hypoxia in Physiology and Disease (X4)
March 5 – 9, 2017 | Whistler, British Columbia, Canada
Scientific Organizers: M. Celeste Simon, Amato J. Giaccia and Randall S. Johnson

Engineered Cells and Tissues as Platforms for Discovery and Therapy (K1)
March 9 – 12, 2017 | Boston, Massachusetts, USA
Scientific Organizers: Laura E. Niklason, Milica Radisic and Nenad Bursac

Frontiers of NMR in Life Sciences (C5)
March 12 – 16, 2017 | Keystone, Colorado, USA
Scientific Organizers: Kurt Wüthrich, Michael Sattler and Stephen W. Fesik

Sex and Gender Factors Affecting Metabolic Homeostasis, Diabetes and Obesity (C6)
March 19 – 22, 2017 | Tahoe City, California, USA
Scientific Organizers: Franck Mauvais-Jarvis, Deborah Clegg and Arthur P. Arnold

Cancer Immunology and Immunotherapy: Taking a Place in Mainstream Oncology (C7)
March 19 – 23, 2017 | Whistler, British Columbia, Canada
Scientific Organizers: Robert D. Schreiber, James P. Allison, Philip D. Greenberg and Glenn Dranoff

Pattern Recognition Signaling: From Innate Immunity to Inflammatory Disease (X5)
March 19 – 23, 2017 | Banff, Alberta, Canada
Scientific Organizers: Thirumala-Devi Kanneganti, Vishva M. Dixit and Mohamed Lamkanfi

Type I Interferon: Friend and Foe Alike (X6)
March 19 – 23, 2017 | Banff, Alberta, Canada
Scientific Organizers: Alan Sher, Virginia Pascual, Adolfo García-Sastre and Anne O’Garra

Injury, Inflammation and Fibrosis (C8)
March 26 – 30, 2017 | Snowbird, Utah, USA
Scientific Organizers: Tatiana Kisseleva, Michael Karin and Andrew M. Tager

HIV Vaccines (C9)
March 26 – 30, 2017 | Steamboat Springs, Colorado, USA
Scientific Organizers: Andrew B. Ward, Penny L. Moore and Robin Shattock

Immune Regulation in Autoimmunity and Cancer (D1)
March 26 – 30, 2017 | Whistler, British Columbia, Canada
Scientific Organizers: David A. Hafler, Vijay K. Kuchroo and Jane L. Grogan

Molecular Mechanisms of Heart Development (X7)
March 26 – 30, 2017 | Keystone, Colorado, USA
Scientific Organizers: Benoit G. Bruneau, Brian L. Black and Margaret E. Buckingham

RNA-Based Approaches in Cardiovascular Disease (X8)
March 26 – 30, 2017 | Keystone, Colorado, USA
Scientific Organizers: Thomas Thum and Roger J. Hajjar

April 2017

Genomic Instability and DNA Repair (Z1)
April 2 – 6, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Julia Promisel Cooper, Marco F. Foiani and Geneviève Almouzni

DNA Replication and Recombination (Z2)
April 2 – 6, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: John F.X. Diffley, Anja Groth and Scott Keeney

B Cells and T Follicular Helper Cells – Controlling Long-Lived Immunity (D2)
April 23 – 27, 2017 | Whistler, British Columbia, Canada
Scientific Organizers: Stuart G. Tangye, Ignacio Sanz and Hai Qi

Mononuclear Phagocytes in Health, Immune Defense and Disease (D3)
April 30 – May 4, 2017 | Austin, Texas, USA
Scientific Organizers: Steffen Jung and Miriam Merad

May 2017

Modeling Viral Infections and Immunity (E1)
May 1 – 4, 2017 | Estes Park, Colorado, USA
Scientific Organizers: Alan S. Perelson, Rob J. De Boer and Phillip D. Hodgkin

Angiogenesis and Vascular Disease (Z3)
May 8 – 12, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: M. Luisa Iruela-Arispe, Timothy T. Hla and Courtney Griffin

Mitochondria, Metabolism and Heart (Z4)
May 8 – 12, 2017 | Santa Fe, New Mexico, USA
Scientific Organizers: Junichi Sadoshima, Toren Finkel and Åsa B. Gustafsson

Neuronal Control of Appetite, Metabolism and Weight (Z5)
May 9 – 13, 2017 | Copenhagen, Denmark
Scientific Organizers: Lora K. Heisler and Scott M. Sternson

Gastrointestinal Control of Metabolism (Z6)
May 9 – 13, 2017 | Copenhagen, Denmark
Scientific Organizers: Randy J. Seeley, Matthias H. Tschöp and Fiona M. Gribble

Aging and Mechanisms of Aging-Related Disease (E2)
May 15 – 19, 2017 | Yokohama, Japan
Scientific Organizers: Kazuo Tsubota, Shin-ichiro Imai, Matt Kaeberlein and Joan Mannick

Single Cell Omics (E3)
May 26 – 30, 2017 | Stockholm, Sweden
Scientific Organizers: Sarah Teichmann, Evan W. Newell and William J. Greenleaf

Integrating Metabolism and Immunity (E4)
May 29 – June 2, 2017 | Dublin, Ireland
Scientific Organizers: Hongbo Chi, Erika L. Pearce, Richard A. Flavell and Luke A.J. O’Neill

Cell Death and Inflammation (K2)
May 29 – June 2, 2017 | Dublin, Ireland
Scientific Organizers: Seamus J. Martin and John Silke

June 2017

Neuroinflammation: Concepts, Characteristics, Consequences (E5)
June 19 – 23, 2017 | Keystone, Colorado, USA
Scientific Organizers: Richard M. Ransohoff, Christopher K. Glass and V. Hugh Perry

SOURCE

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Supreme Court declining to hear an appeal from Sequenom, that markets a Prenatal Test based on Screening Fetal DNA – A Natural Biological Process

Reporter: Aviva Lev-Ari, PhD, RN

Supreme Court on Monday left a whole lot of biotech entrepreneurs fearful that their inventions may not be worth all that much after all.

The justices spooked the industry by declining to hear an appeal from Sequenom, a California company that markets a prenatal test based on screening fetal DNA. A lower court had ruled that Sequenom couldn’t patent the test because it was based on a natural biological process.

“This is a huge ruling,” said David O. Taylor, an assistant professor at Southern Methodist University’s Dedman School of Law.

Justices in lower courts were effectively pleading for the Supreme Court to provide some guidance on the issue of patent eligibility in biotech, Taylor said. The top court’s silence leaves an entire industry guessing.

Taylor predicted that companies and investors will be less likely to fund expensive research for fear of having patents invalidated by the courts. Sequenom CEO Dirk van den Boom made a similar argument.

“Their refusal to clarify this area of the law would seem to point in the direction of reduced investment in diagnostic invention, and that is obviously problematic from a public health concern,” Taylor said.

Sequenom’s opponent in the legal case, Ariosa Diagnostics, said the fetal test was not novel enough to deserve a patent. Asking the justices to intervene “is inviting the court to revisit and rewrite decades of jurisprudence covering patent-eligible subject matter,” the company wrote in a brief. “In the future, there may be a case that tests the boundaries” of what’s appropriate to patent, Ariosa wrote, “but this is not that case.”

The tell-tale DNA

Sequenom’s story begins in 1996, when a pair of doctors noted that there were trace amounts of tell-tale fetal DNA in the plasma of expectant mothers. So they created a test that could extract that DNA and determine a baby’s sex and risk of genetic disorders like Down syndrome, without the need for the invasive procedures that were then the norm. They patented the idea the following year, and their test is now sold by Sequenom as MaterniT21. But a lower court invalidated that patent in 2013.

He and others fear that the Supreme Court’s ruling in Mayo was so broad that judges will be able to invalidate a slew of life science patents by picking apart the components of an invention to find the naturally occurring biological process that inspired it.

Even Noonan, however, said courts were unlikely to invalidate patents based on truly novel discoveries, such as CRISPR-Cas9 gene editing, which is about to be tested in humans.

The CRISPR technology harnesses a naturally occurring process, but it’s “so revolutionary,” Noonan said, “that even the Supreme Court wouldn’t overrule it.”

 

Damian Garde can be reached at damian.garde@statnews.com
Follow Damian on Twitter @damiangarde

 

BIOTECH CRISPR DIAGNOSTICS – See LINKS at

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SOURCE

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