The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Modeling evolution of crosstalk in noisy signal transduction networks
Abstract
Signal transduction networks can form highly interconnected systems within cells due to crosstalk between constituent pathways. To better understand the evolutionary design principles underlying such networks, we study the evolution of crosstalk for two parallel signaling pathways that arise via gene duplication. We use a sequence-based evolutionary algorithm and evolve the network based on two physically motivated fitness functions related to information transmission. We find that one fitness function leads to a high degree of crosstalk while the other leads to pathway specificity. Our results offer insights on the relationship between network architecture and information transmission for noisy biomolecular networks.
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“The multilayered network architecture underlying social behavior, including the social network layer, with spatially diverse and temporally dynamic cross talk between layers, is likely to impose a range of evolutionary constraints, with parallels in the coevolutionary dynamics of multiple signal transduction pathways that exhibit cross talk (99).”
From Behavior-related gene regulatory networks: A new level of organization in the brain (2020) · cites this paper as [99]
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TGFβ and Wnt pathway cross-talk
Attisano, L., & Labbé, E. (2004) · Cancer and Metastasis Reviews · doi:10.1023/a:1025811012690 · Cited by 98
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Cited by
Behavior-related gene regulatory networks: A new level of organization in the brain
Sinha, S., Jones, B. M., Traniello, I. M., Bukhari, S. A., Halfon, M. S., Hofmann, H. A., Huang, S., Katz, P. S., Keagy, J., Lynch, V. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921625117 · Cited by 85
Metadata
- Authors
- Tareen, A., Wingreen, N. S., & Mukhopadhyay, R.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2018-02-08
- Volume
- 97
- Issue
- 2
- ISSN
- 2470-0045
- 2470-0053
- PMC
- PMC5973540
- Cited by
- 11
- References
- 1
- Language
- en
- Licence
- Funders
- National Science Foundation (PHY-1305525)
- National Institutes of Health (R01 GM082938)
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- Tareen, A., Wingreen, N. S., & Mukhopadhyay, R. (2018). Modeling evolution of crosstalk in noisy signal transduction networks. Physical Review E. https://doi.org/10.1103/physreve.97.020402
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
