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Transcriptional bursting explains the noise–versus–mean relationship in mRNA and protein levels

Journal Article · · PLoS ONE
 [1];  [2];  [3];  [4];  [5];  [2];  [6]
  1. Univ. of Illinois Urbana-Champaign, Urbana, IL (United States)
  2. Univ. of Pennsylvania, Philadelphia, PA (United States)
  3. Univ. of Delaware, Newark, DE (United States)
  4. Rockefeller Univ., New York, NY (United States)
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
  6. Gladstone Institutes, San Francisco, CA (United States); Univ. of California San Francisco, San Francisco, CA (United States)
Recent analysis demonstrates that the HIV-1 Long Terminal Repeat (HIV LTR) promoter exhibits a range of possible transcriptional burst sizes and frequencies for any mean-expression level. However, these results have also been interpreted as demonstrating that cell-tocell expression variability (noise) and mean are uncorrelated, a significant deviation from previous results. Here, we re-examine the available mRNA and protein abundance data for the HIV LTR and find that noise in mRNA and protein expression scales inversely with the mean along analytically predicted transcriptional burst-size manifolds. We then experimentally perturb transcriptional activity to test a prediction of the multiple burst-size model: that increasing burst frequency will cause mRNA noise to decrease along given burst-size lines as mRNA levels increase. In conclusion, the data show that mRNA and protein noise decrease as mean expression increases, supporting the canonical inverse correlation between noise and mean.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Joint Institute for Biological Sciences (JIBS)
Sponsoring Organization:
ORNL Program Development; USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1279452
Journal Information:
PLoS ONE, Journal Name: PLoS ONE Journal Issue: 7 Vol. 11; ISSN 1932-6203
Publisher:
Public Library of ScienceCopyright Statement
Country of Publication:
United States
Language:
English

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Fine-tuning of noise in gene expression with nucleosome remodeling journal June 2018
Stochastic gene expression is optimized to drive developmental self-organization journal April 2019
Stochastic transcription in the p53‐mediated response to DNA damage is modulated by burst frequency text January 2019
Discontinuous transcription book December 2015
Simulating multiple faceted variability in single cell RNA sequencing journal June 2019
What shapes eukaryotic transcriptional bursting? journal January 2017
Discontinuous transcription journal January 2018
3’-5’ crosstalk contributes to transcriptional bursting posted_content December 2020
3 ′-5 ′ crosstalk contributes to transcriptional bursting journal February 2021
Stochastic transcription in the p53‐mediated response to DNA damage is modulated by burst frequency journal December 2019