Abstract

Living things benefit from exquisite molecular sensitivity in many of their key processes, including DNA replication, transcription and translation, chemical sensing, and morphogenesis. At thermodynamic equilibrium, the basic biophysical mechanism for sensitivity is cooperative binding, for which it can be shown that the Hill coefficient, a sensitivity measure, cannot exceed the number of binding sites. Generalizing this fact, we find that for any kinetic scheme, at or away from thermodynamic equilibrium, a very simple structural quantity, the size of the support of a perturbation, always limits the effective Hill coefficient. We show how this bound sheds light on and unifies diverse sensitivity mechanisms, including kinetic proofreading and a nonequilibrium Monod-Wyman-Changeux (MWC) model proposed for the E. coli flagellar motor switch, representing in each case a simple, precise bridge between experimental observations and the models we write down. In pursuit of mechanisms that saturate the support bound, we find a nonequilibrium binding mechanism, nested hysteresis, with sensitivity exponential in the number of binding sites, with implications for our understanding of models of gene regulation and the function of biomolecular condensates.

Living things rely on extremely sensitive molecular circuits. Here, authors uncover a universal structural limit on kinetic scheme sensitivity, with implications for gene regulation & the functions of condensates.

Details

Title
Size limits the sensitivity of kinetic schemes
Author
Owen, Jeremy A. 1   VIAFID ORCID Logo  ; Horowitz, Jordan M. 2   VIAFID ORCID Logo 

 Massachusetts Institute of Technology, Department of Physics, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); Princeton University, Department of Chemistry, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006) 
 University of Michigan, Department of Biophysics, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370); University of Michigan, Center for the Study of Complex Systems, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370); University of Michigan, Department of Physics, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370) 
Pages
1280
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2784709294
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.