QCBio/Bioinformatics/Human Genetics seminar: Jonathan Sebat, PhD, Chief, Beyster Center for Molecular Genomics of Neuropsychiatric Diseases, Professor of Psychiatry and Cellular and Molecular Medicine, UC San Diego
TITLE: "TBA"
Events for November 19, 2024 - June 30, 2023
10 events found.
Events
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Boyer 159 611 Charles E. Young Dr. E., Los Angeles, CA, United States
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QCBio/Bioinformatics/Human Genetics seminar: Molly Przeworski, PhD, Professor, Biological Sciences, Systems Biology, Columbia University
Boyer 159 611 Charles E. Young Dr. E., Los Angeles, CA, United StatesTITLE: “Why do human germline mutation rates depend on sex and age.”
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QCBio Webinar: Mapping The Brain With 100 Billion Cells, Is This an Impossible Task?
ZOOM CA, United StatesA conversation featuring: Roy Wollman, Ph.D. Professor, UCLA Integrative Biology & Physiology and Chemistry & Biochemistry Jingyi Jessica Li, Ph.D. Professor, UCLA Statistics, Biostatistics, Computational Medicine and Human Genetics Hong-Wei Dong, Ph.D. Professor, UCLA Neurobiology - Director, UCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.) Introduction by: Alexander Hoffmann, Ph.D. Director, Institute for Quantitative & Computational Biosciences - Thomas […]
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Webinar: Mapping The Brain With 100 Billion Cells, Is This an Impossible Task?
ZOOM CA, United States -
QCBio/Center for Biological Physics: Gregoire Altan-Bonnet, Principal Investigator – Immunodynamics group Laboratory of Integrative Cancer Immunology NCI, NIH, Bethesda MD
Boyer Hall 130TITLE: “Stochasticity in cancer immunotherapies: identifying the T cell subset that sparks tumor eradication” ABSTRACT: We use an ex vivo model of tumor eradication to dissect the fundamental variability of clinical outcomes in cancer immunotherapies. We demonstrate that there exists an inherent stochastic variability in immune responses, based on the low abundance of hyper-responsive naïve T cells (so-called […]
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QCBio Research Seminar: Gregoire Altan-Bonnet, Principal Investigator – Immunodynamics group Laboratory of Integrative Cancer Immunology NCI, NIH, Bethesda MD
Boyer 159TITLE: "Stochasticity in cancer immunotherapies: identifying the T cell subset that sparks tumor eradication" ABSTRACT: We use an ex vivo model of tumor eradication to dissect the fundamental variability of clinical outcomes in cancer immunotherapies. We demonstrate that there exists an inherent stochastic variability in immune responses, based on the low abundance of hyper-responsive naïve T cells (so-called Spark T cells) and feedback regulations […]
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QCBio/Bioinformatics/Human Genetics seminar: Zoltán Kutalik, PhD, Associate Professor, University of Lausanne
Boyer 159 611 Charles E. Young Dr. E., Los Angeles, CA, United StatesTITLE: “Pushing the boundaries of causal inference.”
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QCBio Research Seminar: Daniel Ha (Yang), Postdoc, Dept. Integrative Biology and Physiology
ZOOM CA, United StatesTITLE: "“Cross-tissue multiomics studies reveal gutbrain interactions mediating the effect of Akkermansia muciniphila in counteracting fructose-induced obesity” ABSTRACT: The gut bacterium Akkermansia muciniphila (A. muciniphila) has been implicated in anti-obesity effects, but a systems level understanding of the molecular mechanisms is lacking. We carried out multiomics studies to investigate the molecular cascades mediating the anti-obesity effect of A. muciniphila in a fructoseinduced obesity mouse model. […]
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QCBio Research Seminar: Brandon Tsai (Boutros), Grad Student, Human Genetics
ZOOM CA, United StatesTITLE: "Exercise and tumor genomic landscapes in 2,702 patients with cancer" ABSTRACT: Approximately two-thirds of cancer diagnoses globally are attributed to modifiable lifestyle factors such as smoking, diet and inactivity. Conversely, regular exercise is linked to decreased risk of multiple cancers. However, the underlying molecular mechanisms are not fully elucidated. Specifically, how exercise impacts tumor genomic […]
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QCBio/Bioinformatics/Human Genetics seminar: Min Xu, PhD, Assistant Professor, Computational Biology Department, Co-Director, MS in Computational Biology Program, Carnegie Mellon University
Boyer 159 611 Charles E. Young Dr. E., Los Angeles, CA, United StatesTITLE: “Automatic analysis of cryo-electron tomography using computer vision and machine learning.”
