Dynamics of protein noise can distinguish between alternate sources of gene-expression variability

Abhyudai Singh1, Brandon S Razooky, Roy D Dar

  • 1Department of Chemistry and Biochemistry, University of California, San Diego, CA, USA.

Insights

This study introduces a new method to distinguish gene expression noise sources. The findings suggest promoter fluctuations are the main driver of noise in HIV-1 expression.

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Genetics

Background:

  • Gene expression noise arises from mRNA and promoter fluctuations.
  • Distinguishing these sources is difficult with standard methods, especially at high cellular mRNA concentrations.
  • Existing techniques like mRNA single-molecule fluorescence in situ hybridization (smFISH) have limitations.

Purpose of the Study:

  • To develop and validate a novel perturbation method to differentiate between mRNA birth/death and promoter fluctuations.
  • To apply this method to the HIV-1 gene expression system.
  • To provide a complementary approach to smFISH for noise source identification.

Main Methods:

  • A perturbation approach measuring transient changes in protein variance.
  • Utilizing transcriptional blockage to observe differential noise increases.
  • Experimental validation in the HIV-1 model system.
  • Operating effectively in conditions of high molecular numbers.

Main Results:

  • The perturbation method successfully discriminates between mRNA and promoter noise sources.
  • The study found that promoter fluctuations are the predominant source of noise in HIV-1 expression.
  • The method proved effective even at high cellular mRNA concentrations.

Conclusions:

  • Promoter fluctuations are identified as the primary source of noise in HIV-1 gene expression.
  • The developed perturbation method is a valuable tool complementing smFISH.
  • This approach can be integrated with existing GFP-tagged libraries for broader noise analysis.

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