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Lattice Ultrasensitivity Amplifies Signals in E. coli without Finely-Tuned Allosteric Interactions
Open accessPublished version of a preprint
Abstract
The chemosensory lattice, consisting of receptors, kinases, and adaptor proteins, is an important test case for biochemical signal processing. Kinase output is characterized by precise adaptation to a wide range of background ligand levels and large gain in response to small relative changes in concentration. Existing models of this lattice achieve their gain through allosteric interactions between either receptors or core units of receptors and kinases. Here we introduce a model which operates through an entirely different mechanism in which receptors gate inherently far from equilibrium enzymatic reactions between neighboring kinases. Our lattice model achieves gain through a mechanism more closely related to zero-order ultrasensitivity than to allostery. Thus, we call it lattice ultrasensitivity (LU). Unlike other lattice models with critical points, the LU model can achieve arbitrarily high gain through timescale separation, rather than through finely tuned allosteric interactions. The model also captures qualitative experimental results which are difficult to reconcile with existing models. We discuss possible implementations in the lattice's baseplate where long flexible linkers could potentially mediate interactions between neighboring core units.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Varadi, M., Bertoni, D., Magana, P., Paramval, U., Pidruchna, I., Radhakrishnan, M., Tsenkov, M., Nair, S., Mirdita, M., Yeo, J., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkad1011 · Cited by 2,052 · cited 1×
“Because of significant variability between individual cells, a more precise fitting procedure for the (de)methylation rates would provide meaningfully better information.”
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Metadata
- Authors
- Sherry, D. M., Graf, I. R., Bryant, S. J., Emonet, T., & Machta, B. B.
- Affiliations
- Yale University (US)
- Heidelberg University (DE)
- Corresponding author
- Graf, Isabella R.
- Emonet, Thierry
- Machta, Benjamin B.
- Venue
- PRX Life
- Publisher
- American Physical Society (APS)
- Published
- 2026-06-08
- Volume
- 4
- Issue
- 2
- ISSN
- 2835-8279 (ISSN-L)
- PMC
- PMC13449865
- OpenAlex
- W4399152099
- Cited by
- 2
- References
- 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- PRX Life (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Alfred P. Sloan Foundation (G-2023-19668)
- Deutsche Forschungsgemeinschaft (494077061)
- National Institutes of Health (R35GM138341)
- National Institute of General Medical Sciences (GM138533, R35GM158058)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
- Keywords
- signal gain, Escherichia coli chemotaxis, allosteric interactions, kinase signaling, time-scale separation, signal adaptation, flexible linkers, base plate
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