Genomic encoding of transcriptional burst kinetics
Mammalian gene expression is inherently stochastic 1 , 2 , and results in discrete bursts of RNA molecules that are synthesized from each allele 3 – 7 . Although transcription is known to be regulated by promoters and enhancers, it is unclear how cis -regulatory sequences encode transcriptional burs...
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Published in | Nature (London) Vol. 565; no. 7738; pp. 251 - 254 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
2019
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Mammalian gene expression is inherently stochastic
1
,
2
, and results in discrete bursts of RNA molecules that are synthesized from each allele
3
–
7
. Although transcription is known to be regulated by promoters and enhancers, it is unclear how
cis
-regulatory sequences encode transcriptional burst kinetics. Characterization of transcriptional bursting, including the burst size and frequency, has mainly relied on live-cell
4
,
6
,
8
or single-molecule RNA fluorescence in situ hybridization
3
,
5
,
8
,
9
recordings of selected loci. Here we determine transcriptome-wide burst frequencies and sizes for endogenous mouse and human genes using allele-sensitive single-cell RNA sequencing. We show that core promoter elements affect burst size and uncover synergistic effects between TATA and initiator elements, which were masked at mean expression levels. Notably, we provide transcriptome-wide evidence that enhancers control burst frequencies, and demonstrate that cell-type-specific gene expression is primarily shaped by changes in burst frequencies. Together, our data show that burst frequency is primarily encoded in enhancers and burst size in core promoters, and that allelic single-cell RNA sequencing is a powerful model for investigating transcriptional kinetics.
Allele-specific single-cell RNA sequencing provides insights into transcription kinetics, with data indicating that core promoter sequences affect burst size, whereas enhancers mainly affect burst frequency. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Present address: Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA. |
ISSN: | 0028-0836 1476-4687 1476-4687 |
DOI: | 10.1038/s41586-018-0836-1 |