BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Biomedical Mathematics Group - ECPv6.17.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20260904T110000
DTEND;TZID=Asia/Seoul:20260904T120000
DTSTAMP:20260829T093123Z
CREATED:20260829T051716Z
LAST-MODIFIED:20260829T093123Z
UID:12998-1788519600-1788523200@www.ibs.re.kr
SUMMARY:Design of Single-Cell Experiments to Efficiently Infer Predictive Mechanistic Models for Stochastic Gene Expression - Brian Munsky
DESCRIPTION:Biochemical assays have made outstanding progress to elucidate how cells sense and respond to stimuli\, but mechanistic and parametric uncertainties preclude quantitative predictions for the full spatial\, temporal\, and heterogeneous responses of signal-activated gene expression. Stochastic models use random noise as an abstraction to account for these unknown or uncertain dynamics. When inferred from appropriate single-cell experiments\, such as smFISH or immunocytochemistry (ICC)\, these models can quantitatively predict complex biological responses in new environments. However\, many smFISH/ICC experiments are possible for different induction levels\, measurement times\, or observables\, and each may be time-consuming\, expensive\, or subject to labeling\, imaging\, or data processing errors. We introduce the Finite State Projection based Fisher Information Matrix (FSP-FIM) as a rigorous guide for the design of single-cell experiments. We extend the FSP-FIM with empirical probabilistic distortion operators to account for unavoidable measurement errors. By analyzing different combinations of models\, experiment designs\, and data distortions\, we discover practical working principles to simplify single-cell experiments while allowing for the use of inexpensive (or ‘crappy’) imaging conditions. We validate the FSP-FIM approach in HeLa cells using ICC data for glucocorticoid receptor transport and smFISH data for DUSP1 gene regulation upon stimulation with a synthetic corticosteroid. \nZoom : 997 8258 4700 (pw : 1234) \n 
URL:https://www.ibs.re.kr/bimag/event/design-of-single-cell-experiments-to-efficiently-infer-predictive-mechanistic-models-for-stochastic-gene-expression-brian-munsky/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2026/08/images-4-e1787995840661.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
END:VCALENDAR