BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Biomedical Mathematics Group - ECPv6.17.0//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:20260724T100000
DTEND;TZID=Asia/Seoul:20260724T120000
DTSTAMP:20260713T062127Z
CREATED:20260713T062127Z
LAST-MODIFIED:20260713T062127Z
UID:12700-1784887200-1784894400@www.ibs.re.kr
SUMMARY:Topology identifies concurrent cyclic processes in single-cell transcriptomics and androgen receptor function - Seongjin Choi
DESCRIPTION:In this talk\, we discuss the paper “Topology identifies concurrent cyclic processes in single-cell transcriptomics and androgen receptor function” by Kelly Maggs et al.\, bioRxiv\, 2025. \nAbstract: \n\nStandard single-cell RNA-seq analysis frameworks aggregate over-lapping biological processes and impose a single parametrization\, conflating distinct programs. Here\, we introduce a topological framework that detects and disentangles multiple cyclic processes directly from single-cell transcriptomic data. We validate this approach on synthetic datasets and scRNA-seq profiles of human dermal fibroblasts under control conditions and following androgen receptor (AR) silencing\, as well as in vivo mouse prostate regeneration under androgen receptor add-back. We show robust cell cycle structure across conditions\, identify an unbiased AR-linked stress signature related to the senescence and proliferation across organisms\, and uncover cholesterol homeostasis as an AR-linked program in tissue regeneration. This framework enables identification and separation of concurrent cyclic processes from snapshot single-cell data\, revealing complex multi-dimensional regulatory dynamics inaccessible to standard clustering analysis.
URL:https://www.ibs.re.kr/bimag/event/topology-identifies-concurrent-cyclic-processes-in-single-cell-transcriptomics-and-androgen-receptor-function-seongjin-choi/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
END:VCALENDAR