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X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20210312T113000
DTEND;TZID=Asia/Seoul:20210312T130000
DTSTAMP:20260428T010835
CREATED:20210305T084406Z
LAST-MODIFIED:20210406T075224Z
UID:4227-1615548600-1615554000@www.ibs.re.kr
SUMMARY:Dae Wook Kim\, Maximum Entropy Framework for Predictive Inference of Cell Population Heterogeneity and Responses in Signaling Networks
DESCRIPTION:We will discuss about “Maximum Entropy Framework for Predictive Inference of Cell Population Heterogeneity and Responses in Signaling Networks”\, Dixit et al.\, Cell Systems (2020) \nPredictive models of signaling networks are essential for understanding cell population heterogeneity and designing rational interventions in disease. However\, using computational models to predict heterogeneity of signaling dynamics is often challenging because of the extensive variability of biochemical parameters across cell populations. Here\, we describe a maximum entropy-based framework for inference of heterogeneity in dynamics of signaling networks (MERIDIAN). MERIDIAN estimates the joint probability distribution over signaling network parameters that is consistent with experimentally measured cell-to-cell variability of biochemical species. We apply the developed approach to investigate the response heterogeneity in the EGFR/Akt signaling network. Our analysis demonstrates that a significant fraction of cells exhibits high phosphorylated Akt (pAkt) levels hours after EGF stimulation. Our findings also suggest that cells with high EGFR levels predominantly contribute to the subpopulation of cells with high pAkt activity. We also discuss how MERIDIAN can be extended to accommodate various experimental measurements. \n  \n 
URL:https://www.ibs.re.kr/bimag/event/2021-03-12/
LOCATION:Tea Room\, IBS\, Daejeon\, Daejeon\, 34141\, Korea\, Republic of
CATEGORIES:Journal Club,Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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