BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute for Quantitative and Computational Biosciences - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://qcb.ucla.edu
X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20200308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20201101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20210314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20211107T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210305T110000
DTEND;TZID=America/Los_Angeles:20210305T113000
DTSTAMP:20260518T065745
CREATED:20210112T233946Z
LAST-MODIFIED:20210317T143543Z
UID:15824-1614942000-1614943800@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Katherine Sheu (Hoffmann)
DESCRIPTION:TITLE: “Quantifying response-specificity to diverse immune threats from single cell transcriptomes” \nABSTRACT: Innate immune sentinel cells such as macrophages upregulate over a thousand genes in the minutes to hours following an encounter with pathogen invaders or damage signals. Previous bulk transcriptomic studies suggest there is stimulus-specificity in the combinations of genes that are activated. However\, bulk measurements do not reveal the distribution of responses\, precluding a quantification of response-specificity. Here\, we measure time-series single cell transcriptomic profiles of macrophages responding to diverse bacterial\, viral\, and host cytokine stimuli. We employ information theoretic and machine learning approaches to quantify how faithfully macrophage gene expression profiles relay information about the ligand encountered\, and which genes are important for distinguishing ligands\, based on their expression distributions across single cells. We find that microenvironmental context alters response-specificity\, and thus quantifying response-specificity may identify marks of inflammatory disease.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-katherine-sheu-hoffmann-2/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/04/Katherine-Sheu.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210305T113000
DTEND;TZID=America/Los_Angeles:20210305T120000
DTSTAMP:20260518T065745
CREATED:20210106T165755Z
LAST-MODIFIED:20210226T200911Z
UID:15662-1614943800-1614945600@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Ali Pazokitoroudi (Sankararaman)
DESCRIPTION:TITLE: “Efficient variance components analysis across millions of genomes.” \nABSTRACT: While variance components analysis has emerged as a powerful tool in complex trait genetics\, existing methods for fitting variance components do not scale well to large-scale datasets of genetic variation. I will present a method for variance components analysis that is accurate and efficient: capable of estimating one hundred variance components on a million individuals genotyped at a million SNPs in a few hours. We illustrate the utility of our method in estimating and partitioning variation in a trait explained by genotyped SNPs (SNP-heritability). Analyzing 22 traits with genotypes from 300\,000 individuals across about 8 million common and low frequency SNPs\, we observe that per-allele squared effect size increases with decreasing minor allele frequency (MAF) and linkage disequilibrium (LD) consistent with the action of negative selection. Partitioning heritability across 28 functional annotations\, we observe enrichment of heritability in FANTOM5 enhancers in asthma\, eczema\, thyroid and autoimmune disorders.
URL:https://qcb.ucla.edu/event/qcbio-research-seminars-ali-pazokitoroudi-sankararaman/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Ali-Pazakitoroudi.jpeg
END:VEVENT
END:VCALENDAR