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PMID: 16715097 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Noise in protein expression scales with natural protein abundance.

Nature genetics ·Vol. 38 ·No. 6 ·2006-06-00 ·Pages 636-43

Bar-Even A, Paulsson J, Maheshri N, Carmi M, O'Shea E, Pilpel Y, Barkai N

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.

MeSH Terms
Flow Cytometry Genes, Fungal Promoter Regions, Genetic Protein Biosynthesis Saccharomyces cerevisiae Proteins/genetics,metabolism Transcription, Genetic
Chemicals
Saccharomyces cerevisiae Proteins
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Bar-Even Arren
Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.
Paulsson Johan
Maheshri Narendra
Carmi Miri
O'Shea Erin
Pilpel Yitzhak
Barkai Naama
Article Info
Journal
Nature genetics
Abbr.
Nat Genet
ISSN
1061-4036
Published
2006-06-00
Epub
2006-00-21
Pages
636-43
Language
English
Region
United States
NLM ID
9216904
Subset
IM
Corrections
CommentIn
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