Fast Decisions with Biophysically Constrained Gene Promoter Architectures

Cells integrate signals and make decisions about their future state in short amounts of time. A lot of theoretical effort has gone into asking how to best design gene regulatory circuits that fulfill a given function, yet much less is known about the constraints that performing that function in a small amount of time imposes on circuit architectures. Using an optimization framework, we explore the properties of a class of promoter architectures that distinguish small differences in transcription factor concentrations under time constraints. We show that the full temporal trajectory of gene activity allows for faster decisions than its integrated activity represented by the total number of transcribed mRNA. The topology of promoter architectures that allow for rapidly distinguishing low transcription factor concentrations results in a low, shallow, and noncooperative response, while at high concentrations, the response is high and cooperative. In the presence of noncognate ligands, networks with fast and accurate decision times need not be optimally selective, especially if discrimination is difficult. While optimal networks are generically out of equilibrium, the energy associated with that irreversibility is only modest and negligible at small concentrations. Instead, our results highlight the crucial role of rate-limiting steps imposed by biophysical constraints.

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Publication Details

Journal
PRX Life
Published
2025-12-04
DOI
https://doi.org/10.1103/sxnt-sbx9
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

Fast Decisions with Biophysically Constrained Gene Promoter Architectures

Karl J. Friston
PRX Life
Gene Regulatory Network Analysis
article

Fast Decisions with Biophysically Constrained Gene Promoter Architectures

Karl J. Friston
article en

Abstract

Cells integrate signals and make decisions about their future state in short amounts of time. A lot of theoretical effort has gone into asking how to best design gene regulatory circuits that fulfill a given function, yet much less is known about the constraints that performing that function in a small amount of time imposes on circuit architectures. Using an optimization framework, we explore the properties of a class of promoter architectures that distinguish small differences in transcription factor concentrations under time constraints. We show that the full temporal trajectory of gene activity allows for faster decisions than its integrated activity represented by the total number of transcribed mRNA. The topology of promoter architectures that allow for rapidly distinguishing low transcription factor concentrations results in a low, shallow, and noncooperative response, while at high concentrations, the response is high and cooperative. In the presence of noncognate ligands, networks with fast and accurate decision times need not be optimally selective, especially if discrimination is difficult. While optimal networks are generically out of equilibrium, the energy associated with that irreversibility is only modest and negligible at small concentrations. Instead, our results highlight the crucial role of rate-limiting steps imposed by biophysical constraints.

PRX LifeVol. 4(1)
École Normale Supérieure (BI)
Openalex Percentile: Top 64%
Gene Regulatory Network Analysis
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Fast Decisions with Biophysically Constrained Gene Promoter Architectures — Karl J. Friston · PRX Life (2025) | TGRS Research Map | TGRS