Evidence map›Paper›PMID 30650074›Full record

ArticlePloS one2019

A high-throughput whole cell screen to identify inhibitors of Mycobacterium tuberculosis.

Juliane Ollinger, Anuradha Kumar, David M Roberts, Mai A Bailey, Allen Casey, Tanya Parish

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Identification of β-Lactams Active againstACS infectious diseases · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Mycobacterial drug discovery.RSC medicinal chemistry · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Juliane OllingerInfectious Disease Research Institute, Seattle, Washington, United States of America.
Anuradha KumarInfectious Disease Research Institute, Seattle, Washington, United States of America.
David M RobertsInfectious Disease Research Institute, Seattle, Washington, United States of America.
Mai A BaileyInfectious Disease Research Institute, Seattle, Washington, United States of America.
Allen CaseyInfectious Disease Research Institute, Seattle, Washington, United States of America.
Tanya ParishInfectious Disease Research Institute, Seattle, Washington, United States of America.ORCID 0000-0001-7507-0423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis is a disease of global importance for which novel drugs are urgently required. We developed a whole-cell phenotypic screen which can be used to identify inhibitors of Mycobacterium tuberculosis growth. We used recombinant strains of virulent M. tuberculosis which express far-red fluorescent reporters and used fluorescence to monitor growth in vitro. We optimized our high throughput assays using both 96-well and 384-well plates; both formats gave assays which met stringent reproducibility and robustness tests. We screened a compound set of 1105 chemically diverse compounds previously shown to be active against M. tuberculosis and identified primary hits which showed ≥ 90% growth inhibition. We ranked hits and identified three chemical classes of interest-the phenoxyalkylbenzamidazoles, the benzothiophene 1-1 dioxides, and the piperidinamines. These new compound classes may serve as starting points for the development of new series of inhibitors that prevent the growth of M. tuberculosis. This assay can be used for further screening, or could easily be adapted to other strains of M. tuberculosis.

Indexed as

Antitubercular AgentsDrug DevelopmentFluorescenceHigh-Throughput Screening AssaysLuminescent ProteinsMicrobial Sensitivity TestsMycobacterium tuberculosisRed Fluorescent ProteinReproducibility of ResultsRifampinAntitubercular AgentsLuminescent ProteinsRed Fluorescent ProteinRifampin

Identifiers

PMID30650074
PMCPMC6334966

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.