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DOI10.1126/science.abb6502
Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies
Battich N.; Beumer J.; De Barbanson B.; Krenning L.; Baron C.S.; Tanenbaum M.E.; Clevers H.; Van Oudenaarden A.
发表日期2020
ISSN0036-8075
起始页码1151
结束页码1156
卷号367期号:6483
英文摘要The regulation of messenger RNA levels in mammalian cells can be achieved by the modulation of synthesis and degradation rates. Metabolic RNA-labeling experiments in bulk have quantified these rates using relatively homogeneous cell populations. However, to determine these rates during complex dynamical processes, for instance during cellular differentiation, single-cell resolution is required. Therefore, we developed a method that simultaneously quantifies metabolically labeled and preexisting unlabeled transcripts in thousands of individual cells. We determined synthesis and degradation rates during the cell cycle and during differentiation of intestinal stem cells, revealing major regulatory strategies. These strategies have distinct consequences for controlling the dynamic range and precision of gene expression. These findings advance our understanding of how individual cells in heterogeneous populations shape their gene expression dynamics. © 2020 American Association for the Advancement of Science. All rights reserved.
关键词messenger RNAdyes, reagents, indicators, markers and buffersmessenger RNAuridinecell componentdifferentiationgene expressionmetabolismRNAturnoverArticlecell cyclecell differentiationcell metabolismgene clustergene controlgene expressiongenetic transcriptionhumanintestinal stem cellmolecular dynamicspriority journalregulatory mechanismRNA sequencingsingle cell analysisanimalchemistryK-562 cell linemetabolismmouseproceduresRNA stabilitysequence analysissingle cell analysisMammaliaAnimalsHumansIndicators and ReagentsK562 CellsMiceRNA StabilityRNA, MessengerSequence Analysis, RNASingle-Cell AnalysisTranscription, GeneticUridine
语种英语
来源机构Science
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/133644
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GB/T 7714
Battich N.,Beumer J.,De Barbanson B.,et al. Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies[J]. Science,2020,367(6483).
APA Battich N..,Beumer J..,De Barbanson B..,Krenning L..,Baron C.S..,...&Van Oudenaarden A..(2020).Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies.,367(6483).
MLA Battich N.,et al."Sequencing metabolically labeled transcripts in single cells reveals mRNA turnover strategies".367.6483(2020).
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