The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Information flow and optimization in transcriptional regulation
Open accessAbstract
In the simplest view of transcriptional regulation, the expression of a gene is turned on or off by changes in the concentration of a transcription factor (TF). We use recent data on noise levels in gene expression to show that it should be possible to transmit much more than just one regulatory bit. Realizing this optimal information capacity would require that the dynamic range of TF concentrations used by the cell, the input/output relation of the regulatory module, and the noise in gene expression satisfy certain matching relations, which we derive. These results provide parameter-free, quantitative predictions connecting independently measurable quantities. Although we have considered only the simplified problem of a single gene responding to a single TF, we find that these predictions are in surprisingly good agreement with recent experiments on the Bicoid/Hunchback system in the early Drosophila embryo and that this system achieves ∼90% of its theoretical maximum information transmission.
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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
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
Cited by
Optimal decoding of cellular identities in a genetic network
Petkova, M. D., Tkačik, G., Bialek, W., Wieschaus, E. F., & Gregor, T. (2019) · Cell · doi:10.1016/j.cell.2019.01.007 · Cited by 178
Self-citationKrotov, D., Dubuis, J. O., Gregor, T., & Bialek, W. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1324186111 · Cited by 115
Self-citationImplementation of Dynamic Bayesian Decision Making by Intracellular Kinetics
Kobayashi, T. J. (2010) · Physical Review Letters · doi:10.1103/physrevlett.104.228104 · Cited by 68
Signaling pathways have an inherent need for noise to acquire information
Azpeitia, E., Balanzario, E. P., & Wagner, A. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-03778-x · Cited by 20
Azpeitia, E., & Wagner, A. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.00067 · Cited by 17
Metadata
- Authors
- Tkačik, G., Callan, C. G., & Bialek, W.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-08-26
- Volume
- 105
- Issue
- 34
- Pages
- 12265-12270
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2112326910
- Cited by
- 285
- References
- 2
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- green
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