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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.
Abstract:
Within individual cells, two molecular processes have been implicated as sources of noise in gene expression: (i) Poisson fluctuations in mRNA abundance arising from random birth and death of individual mRNA transcripts or (ii) promoter fluctuations arising from stochastic promoter transitions between different transcriptional states. Steady-state measurements of variance in protein levels are insufficient to discriminate between these two mechanisms, and mRNA single-molecule fluorescence in situ hybridization (smFISH) is challenging when cellular mRNA concentrations are high. Here, we present a perturbation method that discriminates mRNA birth/death fluctuations from promoter fluctuations by measuring transient changes in protein variance and that can operate in the regime of high molecular numbers. Conceptually, the method exploits the fact that transcriptional blockage results in more rapid increases in protein variability when mRNA birth/death fluctuations dominate over promoter fluctuations. We experimentally demonstrate the utility of this perturbation approach in the HIV-1 model system. Our results support promoter fluctuations as the primary noise source in HIV-1 expression. This study illustrates a relatively simple method that complements mRNA smFISH hybridization and can be used with existing GFP-tagged libraries to include or exclude alternate sources of noise in gene expression.
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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