Evidence map›Paper›PMID 42139310›Full record

ArticlePLoS computational biology2026

Decoupling between activation time and steady-state level in input-output responses.

Giorgio Ravanelli, Kee-Myoung Nam, Jeremy Gunawardena, Rosa Martinez-Corral

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Giorgio RavanelliCRG (Barcelona Collaboratorium for Modelling and Predictive Biology), Barcelona, Spain.
Kee-Myoung NamDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-3594-6141
Jeremy GunawardenaDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Rosa Martinez-CorralCRG (Barcelona Collaboratorium for Modelling and Predictive Biology), Barcelona, Spain.ORCID https://orcid.org/0000-0003-3600-3601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many biological processes, like gene regulation or cell signalling, rely on molecules (inputs) that bind to targets leading to downstream responses. In the gene regulation field, recent data have shown that higher transcription factor (TF) concentrations may increase transcription levels of a gene without affecting the gene activation time. We call this behaviour output decoupling. Motivated by these observations, here we investigate mechanisms for output decoupling in Markov process models where a readout molecule is produced downstream of ligand binding. Our focus is on identifying regimes where the steady-state level of the readout changes with input concentration, while the activation time, quantified by mean first-passage times, remains unaffected. Through a combination of analytical and numerical investigations, we find two mechanisms through which output decoupling can arise: i) rate scale separation, where the system is comprised of slow and fast transitions that are differentially regulated by the input; and ii) incoherent regulation, where the input acts on two transitions with opposing effects on readout production, when all transition rates are similar. Such incoherent regulation has emerged as a plausible regulatory mode of TFs, and we suggest decoupling as a new characteristic feature of this regulatory mode. More broadly, our findings offer a mechanistic and conceptual framework for reasoning about output decoupling in input-output systems.

Indexed as

Gene Expression RegulationModels, BiologicalModels, GeneticTranscriptional ActivationTranscription FactorsComputational BiologyComputer SimulationMarkov ChainsSignal TransductionTranscription Factors

Identifiers

PMID42139310
PMCPMC13245878

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.