Your browser doesn't support javascript.
loading
Effect of genomic and cellular environments on gene expression noise.
Hong, Clarice K Y; Ramu, Avinash; Zhao, Siqi; Cohen, Barak A.
Affiliation
  • Hong CKY; The Edison Family Center for Genome Sciences and Systems Biology, School of Medicine, Washington University in St. Louis, Saint Louis, MO, 63110, USA.
  • Ramu A; Department of Genetics, School of Medicine, Washington University in St. Louis, Saint Louis, MO, 63110, USA.
  • Zhao S; The Edison Family Center for Genome Sciences and Systems Biology, School of Medicine, Washington University in St. Louis, Saint Louis, MO, 63110, USA.
  • Cohen BA; Department of Genetics, School of Medicine, Washington University in St. Louis, Saint Louis, MO, 63110, USA.
Genome Biol ; 25(1): 137, 2024 05 24.
Article in En | MEDLINE | ID: mdl-38790076
ABSTRACT

BACKGROUND:

Individual cells from isogenic populations often display large cell-to-cell differences in gene expression. This "noise" in expression derives from several sources, including the genomic and cellular environment in which a gene resides. Large-scale maps of genomic environments have revealed the effects of epigenetic modifications and transcription factor occupancy on mean expression levels, but leveraging such maps to explain expression noise will require new methods to assay how expression noise changes at locations across the genome.

RESULTS:

To address this gap, we present Single-cell Analysis of Reporter Gene Expression Noise and Transcriptome (SARGENT), a method that simultaneously measures the noisiness of reporter genes integrated throughout the genome and the global mRNA profiles of individual reporter-gene-containing cells. Using SARGENT, we perform the first comprehensive genome-wide survey of how genomic locations impact gene expression noise. We find that the mean and noise of expression correlate with different histone modifications. We quantify the intrinsic and extrinsic components of reporter gene noise and, using the associated mRNA profiles, assign the extrinsic component to differences between the CD24+ "stem-like" substate and the more "differentiated" substate. SARGENT also reveals the effects of transgene integrations on endogenous gene expression, which will help guide the search for "safe-harbor" loci.

CONCLUSIONS:

Taken together, we show that SARGENT is a powerful tool to measure both the mean and noise of gene expression at locations across the genome and that the data generatd by SARGENT reveals important insights into the regulation of gene expression noise genome-wide.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Single-Cell Analysis Limits: Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Single-Cell Analysis Limits: Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2024 Document type: Article Affiliation country: United States