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X-WR-CALNAME:Biomedical Mathematics Group
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X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20240802T140000
DTEND;TZID=Asia/Seoul:20240802T160000
DTSTAMP:20260424T070540
CREATED:20240729T000958Z
LAST-MODIFIED:20240729T001043Z
UID:9893-1722607200-1722614400@www.ibs.re.kr
SUMMARY:Yun Min Song\, RNA velocity of single cells
DESCRIPTION:In this talk\, we discuss the paper “RNA velocity of single sells” by Gioele La Manno et.al.\, Nature\, 2018. \nAbstract \nRNA abundance is a powerful indicator of the state of individual cells. Single-cell RNA sequencing can reveal RNA abundance with high quantitative accuracy\, sensitivity and throughput. However\, this approach captures only a static snapshot at a point in time\, posing a challenge for the analysis of time-resolved phenomena such as embryogenesis or tissue regeneration. Here we show that RNA velocity—the time derivative of the gene expression state—can be directly estimated by distinguishing between unspliced and spliced mRNAs in common single-cell RNA sequencing protocols. RNA velocity is a high-dimensional vector that predicts the future state of individual cells on a timescale of hours. We validate its accuracy in the neural crest lineage\, demonstrate its use on multiple published datasets and technical platforms\, reveal the branching lineage tree of the developing mouse hippocampus\, and examine the kinetics of transcription in human embryonic brain. We expect RNA velocity to greatly aid the analysis of developmental lineages and cellular dynamics\, particularly in humans.
URL:https://www.ibs.re.kr/bimag/event/yun-min-song-rna-velocity-of-single-cells/
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
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