Cited by 2Gene Regulatory Network AnalysisBacterial Genetics and BiotechnologyReceptor Mechanisms and Signaling

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Lattice Ultrasensitivity Amplifies Signals in E. coli without Finely-Tuned Allosteric Interactions

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Published 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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Research works printed but not linked: 58

  1. 10.1038/nature02406 · DOI
  2. 10.1038/msb.2011.8 · DOI
  3. 10.1146/annurev-biophys-083012-130358 · DOI
  4. 10.1039/B903397A · DOI
  5. 10.1073/pnas.011589998 · DOI
  6. 10.1038/msb.2010.37 · DOI
  7. 10.7554/eLife.27455 · DOI
  8. 10.7554/eLife.26796 · DOI
  9. 10.1126/sciadv.abc1087 · DOI
  10. 10.3390/ijms22136960 · DOI
  11. 10.1016/j.cels.2024.06.003 · DOI
  12. 10.1128/mbio.00793-23 · DOI
  13. 10.1016/S0969-2126(97)00210-4 · DOI
  14. 10.1073/pnas.95.4.1381 · DOI
  15. 10.1073/pnas.1104824108 · DOI
  16. 10.1016/j.tim.2015.03.003 · DOI
  17. 10.1073/pnas.0905181106 · DOI
  18. 10.1073/pnas.1200781109 · DOI
  19. 10.1021/bi5000614 · DOI
  20. 10.1038/nature02404 · DOI
  21. 10.1038/s41567-025-03158-3 · DOI
  22. 10.1038/s41467-024-52799-0 · DOI
  23. 10.1074/jbc.M204325200 · DOI
  24. 10.1111/j.1365-2958.2010.07408.x · DOI
  25. 10.1073/pnas.2303115120 · DOI
  26. 10.1128/mBio.01824-16 · DOI
  27. 10.1073/pnas.78.11.6840 · DOI
  28. 10.1126/science.aad9964 · DOI
  29. 10.1073/pnas.2312064121 · DOI
  30. 10.1016/j.jmb.2025.169614 · DOI
  31. 10.1016/0304-4149(94)00035-R · DOI
  32. 10.1073/pnas.97.9.4649 · DOI
  33. 10.1021/j100540a008 · DOI
  34. 10.1529/biophysj.104.042739 · DOI
  35. 10.1073/pnas.0406841102 · DOI
  36. 10.1111/mmi.12215 · DOI
  37. 10.1073/pnas.97.7.3183 · DOI
  38. 10.1073/pnas.95.26.15321 · DOI
  39. 10.1103/PhysRevLett.84.5232 · DOI
  40. 10.1152/jn.00437.2010 · DOI
  41. 10.1103/PRXLife.3.013001 · DOI
  42. 10.1073/pnas.2308215121 · DOI
  43. 10.1103/PRXLife.2.043011 · DOI
  44. 10.1051/jp1:1992267 · DOI
  45. 10.1051/jp1:1995129 · DOI
  46. 10.1103/PhysRevLett.116.240601 · DOI
  47. 10.3389/fphy.2020.00333 · DOI
  48. 10.1038/43199 · DOI · Paper page
  49. 10.1038/s41586-019-1321-1 · DOI
  50. 10.3390/biom11040495 · DOI
  51. 10.1128/jb.178.23.6752-6758.1996 · DOI
  52. 10.1073/pnas.1600216113 · DOI
  53. 10.1073/pnas.1811931115 · DOI
  54. 10.1093/nar/gkab1061 · DOI · Paper page
  55. 10.1128/JB.186.12.3687-3694.2004 · DOI
  56. 10.1016/j.cell.2011.03.013 · DOI
  57. 10.1038/s41567-021-01380-3 · DOI
  58. N. Goldenfeld, 1992, Lectures on Phase Transitions and the Renormalization Group

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
Published
2026-06-08
Volume
4
Issue
2
ISSN
2835-8279 (ISSN-L)
OpenAlex
W4399152099
Cited by
2
References
2
FWCI
0.00
Type
journal article
Language
en
Open access
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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