ArticleBiophysical journal2013
Cross talk and interference enhance information capacity of a signaling pathway.
Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022Review
- Signalling dynamics, cell decisions, and homeostatic control in health and disease.Current opinion in cell biology · 2022Review
- Information transmission from NFkB signaling dynamics to gene expression.PLoS computational biology · 2020Article
- Molecular Time Sharing through Dynamic Pulsing in Single Cells.Cell systems · 2018Article
- Noise and information transmission in promoters with multiple internal States.Biophysical journal · 2014Article
- Tunable signal processing through a kinase control cycle: the IKK signaling node.Biophysical journal · 2013Article
- Systems biology: the role of engineering in the reverse engineering of biological signaling.Cells · 2013Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A recurring motif in gene regulatory networks is transcription factors (TFs) that regulate each other and then bind to overlapping sites on DNA, where they interact and synergistically control transcription of a target gene. Here, we suggest that this motif maximizes information flow in a noisy network. Gene expression is an inherently noisy process due to thermal fluctuations and the small number of molecules involved. A consequence of multiple TFs interacting at overlapping binding sites is that their binding noise becomes correlated. Using concepts from information theory, we show that in general a signaling pathway transmits more information if 1), noise of one input is correlated with that of the other; and 2), input signals are not chosen independently. In the case of TFs, the latter criterion hints at upstream cross-regulation. We demonstrate these ideas for competing TFs and feed-forward gene-regulatory modules, and discuss generalizations to other signaling pathways. Our results challenge the conventional approach of treating biological noise as uncorrelated fluctuations, and present a systematic method for understanding TF cross-regulation networks either from direct measurements of binding noise or from bioinformatic analysis of overlapping binding sites.
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Registered trials
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