| Literature DB >> 30243562 |
Maike M K Hansen1, Ravi V Desai1, Michael L Simpson2, Leor S Weinberger3.
Abstract
Transcription is an episodic process characterized by probabilistic bursts, but how the transcriptional noise from these bursts is modulated by cellular physiology remains unclear. Using simulations and single-molecule RNA counting, we examined how cellular processes influence cell-to-cell variability (noise). The results show that RNA noise is higher in the cytoplasm than the nucleus in ∼85% of genes across diverse promoters, genomic loci, and cell types (human and mouse). Measurements show further amplification of RNA noise in the cytoplasm, fitting a model of biphasic mRNA conversion between translation- and degradation-competent states. This multi-state translation-degradation of mRNA also causes substantial noise amplification in protein levels, ultimately accounting for ∼74% of intrinsic protein variability in cell populations. Overall, the results demonstrate how noise from transcriptional bursts is intrinsically amplified by mRNA processing, leading to a large super-Poissonian variability in protein levels.Entities:
Keywords: bursting; mRNA degradation; mathematical modeling; noise amplification; noise attenuation; nuclear export; single molecule RNA FISH; stochastic noise; transcription; translation
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Year: 2018 PMID: 30243562 PMCID: PMC6202163 DOI: 10.1016/j.cels.2018.08.002
Source DB: PubMed Journal: Cell Syst ISSN: 2405-4712 Impact factor: 10.304