Evidence map›Paper›PMID 38857275›Full record

ArticlePLoS computational biology2024

Regulatory properties of transcription factors with diverse mechanistic function.

Md Zulfikar Ali, Sunil Guharajan, Vinuselvi Parisutham, Robert C Brewster

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Emergence of activation or repression in transcriptional control under a fixed molecular context.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Science (New York, N.Y.) · 2025
    Article
  6. Article
  7. Article
  8. bioRxiv : the preprint server for biology · 2024
    Article
  9. 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

4 authors.

Md Zulfikar AliDepartment of Systems Biology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0002-7054-0059
Sunil GuharajanDepartment of Systems Biology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Vinuselvi ParisuthamDepartment of Systems Biology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Robert C BrewsterDepartment of Systems Biology, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.ORCID 0000-0002-7656-4086

Funding

Uncovering the fundamental principles of transcriptional regulationR35GM128797 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BREWSTER, ROBERT CHARLES · 2018 to 2022
$2.1M
NIGMS NIH HHS R35 GM128797
6 · The paper itself

Abstract

Transcription factors (TFs) regulate the process of transcription through the modulation of different kinetic steps. Although models can often describe the observed transcriptional output of a measured gene, predicting a TFs role on a given promoter requires an understanding of how the TF alters each step of the transcription process. In this work, we use a simple model of transcription to assess the role of promoter identity, and the degree to which TFs alter binding of RNAP (stabilization) and initiation of transcription (acceleration) on three primary characteristics: the range of steady-state regulation, cell-to-cell variability in expression, and the dynamic response time of a regulated gene. We find that steady state regulation and the response time of a gene behave uniquely for TFs that regulate incoherently, i.e that speed up one step but slow the other. We also find that incoherent TFs have dynamic implications, with one type of incoherent mode configuring the promoter to respond more slowly at intermediate TF concentrations. We also demonstrate that the noise of gene expression for these TFs is sensitive to promoter strength, with a distinct non-monotonic profile that is apparent under stronger promoters. Taken together, our work uncovers the coupling between promoters and TF regulatory modes with implications for understanding natural promoters and engineering synthetic gene circuits with desired expression properties.

Indexed as

Promoter Regions, GeneticTranscription FactorsComputational BiologyDNA-Directed RNA PolymerasesGene Expression RegulationKineticsModels, GeneticTranscription, GeneticDNA-Directed RNA PolymerasesTranscription Factors

Identifiers

PMID38857275
PMCPMC11192337

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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.