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SUMMARY:Subtle gene expression differences between individual cells are in
 formative of gene regulation
DTSTART:20210215T100000
DTSTAMP:20260430T112233Z
UID:81f116d06845ddb7b6b0af57110fca59e47bfbf41cfba7f4303e63e7
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Marcel Tarbier\, Friedländer group\, SciLifeLab\, Departm
 ent of Molecular Biosciences\, The Wenner-Gren Institute\, Stockholm Unive
 rsity\, Stockholm\, Sweden\nSingle-cell RNA sequencing studies on gene co-
 expression patterns could yield important regulatory and functional insigh
 ts\, but have so far been limited by confounding factors such as different
 iation or cell cycle. We overcome this limitation by applying single-cell 
 RNA sequencing to a population of virtually identical mESCs. This yields m
 eaningful gene co-expression patterns that are informative for gene regula
 tion and function. We find that in mESCs nuclear proximity has the highest
  effect size while shared transcription factor action impacts most gene pa
 irs. We also show that gene co-expression in this highly homogeneous cell 
 population can be used for regulator and functional prediction. Next we ap
 plied a novel technology for RNA and protein co-profiling in single cells 
 (SPARC) to hESCs and find that transcription factor protein but not RNA pr
 edicts target expression. We also show that discrepancies between RNA and 
 protein variation can be linked to translation efficiency. Finally\, we in
 tegrate these data with single-cell small RNA data from mESCs to elucidate
  previously suggested alternative miRNA functions.
LOCATION:https://epfl.zoom.us/j/87492970561?pwd=bFpORGF1Qm8xdXNEOFljSlR5eW
 tTdz09
STATUS:CONFIRMED
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