Evidence map›Paper›PMID 39516495›Full record

ArticleScientific reports2024

Sequestration of gene products by decoys enhances precision in the timing of intracellular events.

Kuheli Biswas, Supravat Dey, Abhyudai Singh

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kuheli BiswasDepartment of Chemical Engineering, Network Biology Research Lab, Technion, Israel Institute of Technology, Haifa, Israel. kuhelibiswas@campus.technion.ac.il.
Supravat DeyDepartment of Physics and Department Computer Science and Engineering, SRM University - AP, Amaravati, Andhra Pradesh, 522240, India. supravat.dey@gmail.com.
Abhyudai SinghDepartment of Electrical and Computer Engineering, Biomedical Engineering, Mathematical Sciences, Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19716, USA. absingh@udel.edu.

Funding

Generalized fluctuation test for deciphering phenotypic switching within cell populationsR35GM148351 · NIGMS · UNIVERSITY OF DELAWARE · PI Abhyudai Singh · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM148351NIGMS NIH HHS R35GM148351
6 · The paper itself

Abstract

Expressed gene products often interact ubiquitously with binding sites at nucleic acids and macromolecular complexes, known as decoys. The binding of transcription factors (TFs) to decoys can be crucial in controlling the stochastic dynamics of gene expression. Here, we explore the impact of decoys on the timing of intracellular events, as captured by the time taken for the levels of a given TF to reach a critical threshold level, known as the first passage time (FPT). Although nonlinearity introduced by binding makes exact mathematical analysis challenging, employing suitable approximations and reformulating FPT in terms of an alternative variable, we analytically assess the impact of decoys. The stability of the decoy-bound TFs against degradation impacts FPT statistics crucially. Decoys reduce noise in FPT, and stable decoy-bound TFs offer greater timing precision with less expression cost than their unstable counterparts. Interestingly, when both bound and free TFs decay at the same rate, decoy binding does not directly alter FPT noise. We verify these results by performing exact stochastic simulations. These results have important implications for the precise temporal scheduling of events involved in the functioning of biomolecular clocks, development processes, cell-cycle control, and cell-size homeostasis.

Indexed as

Transcription FactorsBinding SitesGene Expression RegulationProtein BindingStochastic ProcessesTranscription Factors

Identifiers

PMID39516495
PMCPMC11549397

What OpenQuestion holds

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Registered trials

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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.