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DTSTART;TZID=America/New_York:20210225T150000
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DTSTAMP:20260407T035534
CREATED:20210112T192642Z
LAST-MODIFIED:20210112T192642Z
UID:3832-1614265200-1614268800@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Dissecting Multicellular Therapeutic Responses Using a Large-scale Single-cell Profiling Platform" (Siyu Chen)
DESCRIPTION:This event will be held virtually via Zoom (check email or contact ksas@seas.upenn.edu). \nHuman diseases are fundamentally multicellular in nature with many different cell types contributing to disease progression and treatment response. However\, how therapeutics impact each cell type in a heterogeneous population remains poorly understood because most studies are focused on isolated cell types or a handful of pathways. Now\, single-cell transcriptional profiling methods allow us to collect a deep molecular portrait of the collective response of heterogeneous populations of cells to any perturbation. In my talk\, I will present my research in harnessing the power of single-cell transcriptional profiling measurements to dissect therapeutic response in heterogeneous cell populations. In the first part\, I will describe the probabilistic modeling framework I developed for analyzing single-cell population data across perturbations at scale (PopAlign). PopAlign models single-cell data with semantically interpretable\, low-error\, highly-compressed probabilistic models\, which allows fast comparisons across hundreds of samples. In the second part\, I will discuss how I applied this framework to analyze a drug response study of over 1.6M human primary immune cells to 500 commercially-available immunomodulatory compounds. While most compounds in the library exert broad impact across multiple cell types in the population\, my analysis also reveals highly cell-type specific activity\, including a novel myeloid-suppressing function of a group of compounds including NSAIDs and an artificial sweetener. My work provides new depth and insight into how existing compounds reshape immune populations\, and a general platform for evaluating and designing population-level responses to therapeutic interventions.
URL:https://seasevents.nmsdev7.com/event/be-seminar-siyu-chen/
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
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