The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Noise Minimization in Eukaryotic Gene Expression
Open accessAbstract
All organisms have elaborate mechanisms to control rates of protein production. However, protein production is also subject to stochastic fluctuations, or "noise." Several recent studies in Saccharomyces cerevisiae and Escherichia coli have investigated the relationship between transcription and translation rates and stochastic fluctuations in protein levels, or more generally, how such randomness is a function of intrinsic and extrinsic factors. However, the fundamental question of whether stochasticity in protein expression is generally biologically relevant has not been addressed, and it remains unknown whether random noise in the protein production rate of most genes significantly affects the fitness of any organism. We propose that organisms should be particularly sensitive to variation in the protein levels of two classes of genes: genes whose deletion is lethal to the organism and genes that encode subunits of multiprotein complexes. Using an experimentally verified model of stochastic gene expression in S. cerevisiae, we estimate the noise in protein production for nearly every yeast gene, and confirm our prediction that the production of essential and complex-forming proteins involves lower levels of noise than does the production of most other genes. Our results support the hypothesis that noise in gene expression is a biologically important variable, is generally detrimental to organismal fitness, and is subject to natural selection.
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Citations
Cites
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Intrinsic noise in gene regulatory networks
Thattai, M., & van Oudenaarden, A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.151588598 · Cited by 1,428 · cited 2×
“…without a cost, as the high transcription and high mRNA decay rates that are needed to minimize noise are energetically expensive and are thus expected to be advantageous only when the benefit of reducing noise in a particular gene’s expression outweighs this cost (Thattai and van Oudenaarden 2000).”
BackgroundEvolutionary Rate in the Protein Interaction Network
Fraser, H. B., Hirsh, A. E., Steinmetz, L. M., Scharfe, C., & Feldman, M. W. (2002) · Science · doi:10.1126/science.1068696 · Cited by 869
Self-citationHighly Expressed Genes in Yeast Evolve Slowly
Pál, C., Papp, B., & Hurst, L. D. (2001) · Genetics · doi:10.1093/genetics/158.2.927 · Cited by 635
Cited by
Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
Vogel, C., & Marcotte, E. M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3185 · Cited by 4,195
Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise
Newman, J. R. S., Ghaemmaghami, S., Ihmels, J., Breslow, D. K., Noble, M., DeRisi, J. L., & Weissman, J. S. (2006) · Nature · doi:10.1038/nature04785 · Cited by 1,483
Control of Stochasticity in Eukaryotic Gene Expression
Raser, J. M., & O'Shea, E. K. (2004) · Science · doi:10.1126/science.1098641 · Cited by 1,425
Global signatures of protein and mRNA expression levels
de Sousa Abreu, R., Penalva, L. O., Marcotte, E. M., & Vogel, C. (2009) · Molecular BioSystems · doi:10.1039/b908315d · Cited by 1,248
Robustness of cellular functions
Stelling, J., Sauer, U., Szallasi, Z., Doyle, F. J., & Doyle, J. (2004) · Cell · doi:10.1016/j.cell.2004.09.008 · Cited by 1,049
Metadata
- Authors
- Fraser, H. B., Hirsh, A. E., Giaever, G., Kumm, J., & Eisen, M. B.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2004-04-27
- Volume
- 2
- Issue
- 6
- Pages
- e137
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W1970970926
- Cited by
- 422
- References
- 4
- FWCI
- 7.54
- Type
- journal article
- Language
- en
- Open access
- gold
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