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Effect of genomic and cellular environments on gene expression noise
Clarice K Y Hong1,2, Avinash Ramu1,2, Siqi Zhao1,2
1The Edison Family Center for Genome Sciences and Systems Biology, School of Medicine, Washington University in St. Louis, Saint Louis, MO, 63110, USA.
New method SARGENT measures gene expression noise across the genome. It reveals how genomic location and histone modifications impact expression variability and identifies distinct cellular states. This advances understanding of gene regulation.
Area of Science:
- Single-cell genomics
- Gene expression regulation
- Epigenetics
Background:
- Individual cells exhibit significant cell-to-cell variation in gene expression, known as noise.
- Genomic location and cellular environment are key sources of this expression noise.
- Existing methods lack the ability to map how expression noise varies across the genome.
Purpose of the Study:
- To develop a novel method for simultaneously measuring reporter gene expression noise and transcriptome-wide mRNA profiles in single cells.
- To conduct the first genome-wide survey of how genomic location influences gene expression noise.
- To differentiate intrinsic and extrinsic components of gene expression noise and link them to cellular states.
Main Methods:
- Developed and applied Single-cell Analysis of Reporter Gene Expression Noise and Transcriptome (SARGENT).
- Performed a comprehensive genome-wide survey of reporter gene integration sites.
- Quantified gene expression noise and analyzed associated mRNA profiles to identify regulatory factors.
Main Results:
- Identified distinct correlations between mean expression, expression noise, and specific histone modifications.
- Quantified intrinsic and extrinsic noise components, assigning the extrinsic component to stem-like versus differentiated cell states.
- Revealed that transgene integrations can influence endogenous gene expression, aiding in the identification of safe-harbor loci.
Conclusions:
- SARGENT is a powerful tool for measuring gene expression mean and noise genome-wide at single-cell resolution.
- The method provides novel insights into the regulation of gene expression noise across the entire genome.
- Findings facilitate the search for genomic safe-harbor loci and deepen the understanding of gene expression variability.
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