Macroscopic Fluctuation-Response Theory and Its Use for Gene Regulatory Networks

Gaussian macroscopic fluctuation theory underpins the understanding of noise in a broad class of nonequilibrium systems. We derive exact fluctuation-response relations linking the power spectral density of stationary fluctuations to the linear response of stable nonequilibrium steady states. Both of these can be determined experimentally and used to reconstruct the kernel of the linearized dynamics and the diffusion matrix, and thus any features of the Gaussian theory. We apply our theory to gene regulatory networks with negative feedback, and derive an explicit internal-external noise decomposition of the power spectral density for any networks, including cross-correlations.

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Publication Details

Journal
Physical Review Letters
Published
2026-01-14
DOI
https://doi.org/10.1103/2b12-3vrx
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Macroscopic Fluctuation-Response Theory and Its Use for Gene Regulatory Networks

Massimiliano Esposito, Krzysztof Ptaszyński, Timur Aslyamov
Physical Review Letters
Gene Regulatory Network Analysis
article

Macroscopic Fluctuation-Response Theory and Its Use for Gene Regulatory Networks

Massimiliano Esposito, Krzysztof Ptaszyński, Timur Aslyamov
article en

Abstract

Gaussian macroscopic fluctuation theory underpins the understanding of noise in a broad class of nonequilibrium systems. We derive exact fluctuation-response relations linking the power spectral density of stationary fluctuations to the linear response of stable nonequilibrium steady states. Both of these can be determined experimentally and used to reconstruct the kernel of the linearized dynamics and the diffusion matrix, and thus any features of the Gaussian theory. We apply our theory to gene regulatory networks with negative feedback, and derive an explicit internal-external noise decomposition of the power spectral density for any networks, including cross-correlations.

Physical Review LettersVol. 136(6)
University of Luxembourg (LU), Institute of Molecular Physics of the Polish Academy of Sciences (PL), Polish Academy of Sciences (PL)
Narodowym Centrum Nauki
Openalex Percentile: Top 100%
Gene Regulatory Network Analysis
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