Evidence map›Paper›PMID 35694815›Full record

ArticleMolecular systems biology2022

Tunable transcription factor library for robust quantification of regulatory properties in Escherichia coli.

Vinuselvi Parisutham, Shivani Chhabra, Md Zulfikar Ali, Robert C Brewster

Abstract read
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Science (New York, N.Y.) · 2025
    Article
  5. Article
  6. bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Vinuselvi ParisuthamDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Shivani ChhabraDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Md Zulfikar AliDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0002-7054-0059
Robert C BrewsterDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.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

Predicting the quantitative regulatory function of transcription factors (TFs) based on factors such as binding sequence, binding location, and promoter type is not possible. The interconnected nature of gene networks and the difficulty in tuning individual TF concentrations make the isolated study of TF function challenging. Here, we present a library of Escherichia coli strains designed to allow for precise control of the concentration of individual TFs enabling the study of the role of TF concentration on physiology and regulation. We demonstrate the usefulness of this resource by measuring the regulatory function of the zinc-responsive TF, ZntR, and the paralogous TF pair, GalR/GalS. For ZntR, we find that zinc alters ZntR regulatory function in a way that enables activation of the regulated gene to be robust with respect to ZntR concentration. For GalR and GalS, we are able to demonstrate that these paralogous TFs have fundamentally distinct regulatory roles beyond differences in binding affinity.

Indexed as

Escherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialGene Regulatory NetworksTranscription FactorsZincEscherichia coli ProteinsTranscription FactorsZincbacterial physiologygenetic libraryparalogsquantitative gene regulationtranscription regulation

Identifiers

PMID35694815
PMCPMC9189660

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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.