Evidence map›Paper›PMID 33199862›Full record

ArticleNature microbiology2021

Transcriptional regulator-induced phenotype screen reveals drug potentiators in Mycobacterium tuberculosis.

Shuyi Ma, Robert Morrison, Samuel J Hobbs, Vijay Soni, Jessica Farrow-Johnson, Andrew Frando, Neil Fleck, Christoph Grundner, Kyu Y Rhee, Tige R Rustad and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nature microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.4field-weighted citation impact, top 24% of its field
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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Metabolic rewiring of isoniazid sensitivity inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Predicting fitness inFrontiers in tuberculosis · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. "Upcycling" known molecules and targets for drug-resistant TB.Frontiers in cellular and infection microbiology · 2022
    Article
  14. The evolving biology ofFrontiers in cellular and infection microbiology · 2022
    Review
  15. Review
  16. 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

11 authors at 4 institutions in 1 country.

Shuyi MaDepartment of Microbiology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-0783-1328
Robert MorrisonDepartment of Microbiology, University of Washington, Seattle, WA, USA.
Samuel J HobbsInterdisciplinary Program of Pathobiology, Department of Global Health, University of Washington, Seattle, WA, USA.
Vijay SoniDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medical College, New York, NY, USA.ORCID http://orcid.org/0000-0002-3395-7429
Jessica Farrow-JohnsonDepartment of Microbiology, University of Washington, Seattle, WA, USA.
Andrew FrandoInterdisciplinary Program of Pathobiology, Department of Global Health, University of Washington, Seattle, WA, USA.
Neil FleckInterdisciplinary Program of Pathobiology, Department of Global Health, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-8327-4688
Christoph GrundnerInterdisciplinary Program of Pathobiology, Department of Global Health, University of Washington, Seattle, WA, USA.
Kyu Y RheeDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medical College, New York, NY, USA.ORCID http://orcid.org/0000-0003-4582-2895
Tige R RustadInterdisciplinary Program of Pathobiology, Department of Global Health, University of Washington, Seattle, WA, USA.
David R ShermanDepartment of Microbiology, University of Washington, Seattle, WA, USA. dsherman@uw.edu.ORCID http://orcid.org/0000-0003-2185-944X
University of Washington · USInfectious Disease Research Institute · USCornell University · USProgram for Appropriate Technology in Health · US

Funding

Validation and Application of a Model for Human-like TB Latency in RabbitsU19AI111276 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID, ALLAND, DAVID · 2014 to 2020
$23.3M
Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI ADEREM, ALAN A, SHERMAN, DAVID R · 2013 to 2017
$18.9M
Technology CoreU19AI135976 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI ADEREM, ALAN A · 2018 to 2022
$17.0M
Diseases of Public Health Importance Training GrantT32AI007509 · NIAID · UNIVERSITY OF WASHINGTON · PI LUND, JENNIFER M · 1997 to 2024
$6.3M
NIAID NIH HHS T32 AI007509NIAID NIH HHS U19 AI106761NIAID NIH HHS U19 AI111276NIAID NIH HHS U19 AI135976
6 · The paper itself

Abstract

Transposon-based strategies provide a powerful and unbiased way to study the bacterial stress response

Indexed as

Antitubercular AgentsGene Expression Regulation, BacterialGene Regulatory NetworksIsoniazidMycobacterium tuberculosisStress, PhysiologicalTranscription, GeneticAntitubercular AgentsIsoniazid

Identifiers

PMID33199862
PMCPMC8331221
OpenAlexW3105832433

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.