The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Living with Noisy Genes: How Cells Function Reliably with Inherent Variability in Gene Expression
Abstract
Within a population of genetically identical cells there can be significant variation, or noise, in gene expression. Yet even with this inherent variability, cells function reliably. This review focuses on our understanding of noise at the level of both single genes and genetic regulatory networks, emphasizing comparisons between theoretical models and experimental results whenever possible. To highlight the importance of noise, we particularly emphasize examples in which a stochastic description of gene expression leads to a qualitatively different outcome than a deterministic one.
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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
Tight control of gene expression in mammalian cells by tetracycline-responsive promoters.
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BackgroundGlobal analysis of protein localization in budding yeast
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“Autocorrelation time: the characteristic time it takes for a fluctuation (in gene expression rate) to decay to the mean (gene expression rate) tometry to measure protein abundance and variability at the single-cell level, employing a collection of yeast strains expressing GFP fusion proteins (33).”
BackgroundSelf-citationStochastic mRNA Synthesis in Mammalian Cells
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Intrinsic and extrinsic contributions to stochasticity in gene expression
Swain, P. S., Elowitz, M. B., & Siggia, E. D. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.162041399 · Cited by 1,661
Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise
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Thattai, M., & van Oudenaarden, A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.151588598 · Cited by 1,428 · cited 2×
“Both theoretical and experimental investigations demonstrate the ability of negative feedback to suppress noise (9, 64) (see Reference 34 for review).”
BackgroundStochastic protein expression in individual cells at the single molecule level
Cai, L., Friedman, N., & Xie, X. S. (2006) · Nature · doi:10.1038/nature04599 · Cited by 1,145 · cited 1×
“2 per cell cycle and a burst size of ∼7 enzymes (15).”
BackgroundMultistability in the lactose utilization network of Escherichia coli
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Probing Gene Expression in Live Cells, One Protein Molecule at a Time
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Cited by
Tuning gene expression to changing environments: from rapid responses to evolutionary adaptation
López-Maury, L., Marguerat, S., & Bähler, J. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2398 · Cited by 1,061
Nuclear Retention of mRNA in Mammalian Tissues
Bahar Halpern, K., Caspi, I., Lemze, D., Levy, M., Landen, S., Elinav, E., Ulitsky, I., & Itzkovitz, S. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.11.036 · Cited by 258
Highly multiplexed and strand-specific single-cell RNA 5′ end sequencing
Islam, S., Kjällquist, U., Moliner, A., Zajac, P., Fan, J.-B., Lönnerberg, P., & Linnarsson, S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.022 · Cited by 272
Multi-layered stochasticity and paracrine signal propagation shape the type-I interferon response
Rand, U., Rinas, M., Schwerk, J., Nöhren, G., Linnes, M., Kröger, A., Flossdorf, M., Kály‐Kullai, K., Hauser, H., Höfer, T., et al. (2012) · Molecular Systems Biology · doi:10.1038/msb.2012.17 · Cited by 147
Temporal changes in the gene expression heterogeneity during brain development and aging
Işıldak, U., Somel, M., Thornton, J. M., & Dönertaş, H. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-60998-0 · Cited by 53
Metadata
- Authors
- Maheshri, N., & O’Shea, E. K.
- Venue
- Annual Review of Biophysics and Biomolecular Structure
- Publisher
- Annual Reviews
- Published
- 2007-06-01
- Volume
- 36
- Issue
- 1
- Pages
- 413-434
- ISSN
- 1056-8700 (ISSN-L)
- 1545-4266
- OpenAlex
- W2158469604
- Cited by
- 323
- References
- 11
- FWCI
- 9.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Maheshri, N., & O’Shea, E. K. (2007). Living with Noisy Genes: How Cells Function Reliably with Inherent Variability in Gene Expression. Annual Review of Biophysics and Biomolecular Structure. https://doi.org/10.1146/annurev.biophys.36.040306.132705
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