» Articles » PMID: 16715097

Noise in Protein Expression Scales with Natural Protein Abundance

Overview
Journal Nat Genet
Specialty Genetics
Date 2006 May 23
PMID 16715097
Citations 394
Authors
Affiliations
Soon will be listed here.
Abstract

Noise in gene expression is generated at multiple levels, such as transcription and translation, chromatin remodeling and pathway-specific regulation. Studies of individual promoters have suggested different dominating noise sources, raising the question of whether a general trend exists across a large number of genes and conditions. We examined the variation in the expression levels of 43 Saccharomyces cerevisiae proteins, in cells grown under 11 experimental conditions. For all classes of genes and under all conditions, the expression variance was approximately proportional to the mean; the same scaling was observed at steady state and during the transient responses to the perturbations. Theoretical analysis suggests that this scaling behavior reflects variability in mRNA copy number, resulting from random 'birth and death' of mRNA molecules or from promoter fluctuations. Deviation of coexpressed genes from this general trend, including high noise in stress-related genes and low noise in proteasomal genes, may indicate fluctuations in pathway-specific regulators or a differential activation pattern of the underlying gene promoters.

Citing Articles

Regulation of chromatin modifications through coordination of nucleus size and epithelial cell morphology heterogeneity.

Bermudez A, Latham Z, Ma A, Bi D, Hu J, Lin N Commun Biol. 2025; 8(1):269.

PMID: 39979587 PMC: 11842846. DOI: 10.1038/s42003-025-07677-w.


Human Single-Cell RNA-Sequencing Data Supports the Hypothesis of X Chromosome Insensitivity but Is Ineffective in Testing the Dosage Compensation Model.

Chen J, Chen X Mol Biol Evol. 2025; 42(2).

PMID: 39932018 PMC: 11811734. DOI: 10.1093/molbev/msaf004.


Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth.

Aida H, Ying B Commun Biol. 2024; 7(1):1691.

PMID: 39719455 PMC: 11668901. DOI: 10.1038/s42003-024-07347-3.


Single-cell RNA sequencing algorithms underestimate changes in transcriptional noise compared to single-molecule RNA imaging.

Khetan N, Zuckerman B, Calia G, Chen X, Garcia Arceo X, Weinberger L Cell Rep Methods. 2024; 4(12):100933.

PMID: 39662473 PMC: 11704610. DOI: 10.1016/j.crmeth.2024.100933.


High-throughput optimized prime editing mediated endogenous protein tagging for pooled imaging of protein localization.

Sanchez H, Lapidot T, Shalem O bioRxiv. 2024; .

PMID: 39345511 PMC: 11429766. DOI: 10.1101/2024.09.16.613361.