Events for September 30 - May 20
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 […]
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 […]
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.”
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. […]
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 […]
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.”
QCBio Research Seminar: Jessica Ding (Yang), Grad Student, Molecular, Cellular, and Integrative Physiology
ZOOM CA, United StatesTITLE: "Multi-tissue single-cell level understanding of Alzheimer’s disease points to the therapeutic potential of nutritional and metabolic modulation." ABSTRACT: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by extracellular amyloid plaque deposition and intracellular neurofibrillary tangles. The direct cause of abnormal protein accumulation and aggregation is largely unknown, and no treatments exist to effectively delay […]
QCBio Research Seminar: Helena Winata (Boutros), Grad Student, Bioinformatics IDP
ZOOM CA, United StatesTITLE: "Efficient, Multi Sample Inference of Cancer Phylogeny." ABSTRACT: Cancer is characterized by the ongoing accumulation of somatic mutations that may lead to dysregulated cellular proliferation. The selection of advantageous mutations leads to clonal expansions of progressively more aberrant and fit cancer cells. Reconstructing the evolutionary history of a tumor allows us to understand key […]
QCBio Research Seminar: Dongyuan Song (Li JJ), Grad Student, Bioinformatics IDP
ZOOM CA, United StatesTITLE: "ClusterDE: a post-clustering differentially expressed (DE) gene identification method robust to false-positive inflation caused by double-dipping" ABSTRACT: In typical single-cell RNA-seq data analysis, first, a clustering algorithm is applied to cluster cells; then, a statistical method is used to identify the differentially expressed (DE) genes between the cell clusters. However, this common procedure uses the same […]