New studies link cell cycle proteins to immunosurveillance of premalignant cells Curator: Stephen J. Williams, Ph.D. The following is from a Perspectives article in the journal Science by Virinder Reen and Jesus Gil called “Clearing Stressed Cells: Cell cycle arrest produces a p21-dependent secretome that initaites immunosurveillance of premalignant cells”. This is a synopsis of […]
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New studies link cell cycle proteins to immunosurveillance of premalignant cells
Posted in Apoptosis, Biological Networks, Biological Networks, Gene Regulation and Evolution, Cancer - General, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer-Immune Interactions, Cell Biology, Signaling & Cell Circuits, Circulating Tumor Cells (CTC), Disease Biology, DNA repair, Efficacy of Anti-Tumor T Cells, Exosomes, Exosomes: Natural Carriers for siRNA Delivery, Immune Modulatory, Immuno-Oncology & Genomics, Immunology, KRAS Mutation, Modulating Macrophages in Cancer Immunotherapy, NK Cell-Based Cancer Immunotherapy, TP53 - Germline mutations, tagged CDKI, cell cycle, cell cycle arrest, cell cycle protein, cellular senescence, DNA repair or transcription factor genes, Immunology, immunosuppression, immunosurveillance, NF-kB, p21, p53, premalignant, transcriptional, transcriptional regulation, tumor suppressors on December 16, 2021| Leave a Comment »
Researchers develop novel therapy that could be effective in many cancers
Posted in Cancer - General, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Genomic Expression, Loss of function gene, therapeutics, tagged Akt, Cancer - General, Clinical trial, Drug discovery, health, medicine, Mount Sinai, MS21, novel therapeutic approach, Novella Clinical, research, therapeutics on July 29, 2021| Leave a Comment »
Reporter: Danielle Smolyar, Research Assistant 3 – Text Analysis for 2.0 LPBI Group’s TNS #1 – 2020/2021 Academic Internship in Medical Text Analysis (MTA) Recently, researchers at Mount Sinai were able to develop a therapeutic agent that shows high levels of effectiveness in Vitro disrupting a biological pathway that allow cancer to survive. This finding […]
Systems Biology Analysis of Transcription Networks, Artificial Intelligence, and High-End Computing Coming to Fruition in Personalized Oncology
Posted in Artificial Intelligence in CANCER, Artificial Intelligence in Health Care - Tools & Innovations, Artificial Intelligence in Medicine - Applications in Therapeutics, Big Data, BioIT: BioInformatics, BioIT: BioInformatics, NGS, Clinical & Translational, Pharmaceutical R&D Informatics, Clinical Genomics, Cancer Informatics, Biological Networks, Biological Networks, Gene Regulation and Evolution, Cancer - General, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, Cell Biology, Cell Biology, Signaling & Cell Circuits, Clinical & Translational, Clinical Genomics, Genomic Expression, Intelligent Information Systems, tagged activation of transcription factors, Artificial intelligence, Artificial Intelligence & Clinical Trials, Biological Networks, Columbia University Medical Center, DarwinHealth, mutational analysis, RNA-Seq, transcription control on July 14, 2020| Leave a Comment »
Systems Biology analysis of Transcription Networks, Artificial Intelligence, and High-End Computing Coming to Fruition in Personalized Oncology Curator: Stephen J. Williams, Ph.D. In the June 2020 issue of the journal Science, writer Roxanne Khamsi has an interesting article “Computing Cancer’s Weak Spots; An algorithm to unmask tumors’ molecular linchpins is tested in patients”[1], describing some […]
Machine Learning (ML) in cancer prognosis prediction helps the researcher to identify multiple known as well as candidate cancer diver genes
Posted in Artificial Intelligence in CANCER, Cancer - General, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, Cancer Screening, Clinical Genomics, CRISPR/Cas9 & Gene Editing, Genetics & Innovations in Treatment, Machine Learning, Mutant Gene Expression, Personalized and Precision Medicine & Genomic Research, Precision Cancer Medicine, tagged Artificial intelligence, Cancer, Cancer prognosis prediction, cancer progression, computational algorithm, driver gene, Machine Learning on May 4, 2021| 2 Comments »
Machine Learning (ML) in cancer prognosis prediction helps the researcher to identify multiple known as well as candidate cancer diver genes Curator and Reporter: Dr. Premalata Pati, Ph.D., Postdoc Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity […]
Innovation massively expands view into workings of single cells summary
Posted in CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, cancer-general, Cell Biology, Cell Biology, Signaling & Cell Circuits, Diagnostics and Lab Tests, single cell sequencing, tagged Cancer, cell fragments, DNA, DNA Sequencing, health, research, Single-cell sequencing on July 8, 2021| Leave a Comment »
Reporter: Danielle Smolyar, Research Assistant 3 – Text Analysis for 2.0 LPBI Group’s TNS #1 – 2020/2021 Academic Internship in Medical Test Analysis (MTA) Reporting on a Study published on July 6, 2021 by Oregon Health & Science University Recently, researchers have found many ways to manipulate and alter gene activity in specific cells. As a result […]