Evidence map›Paper›PMID 26300875›Full record

ReviewFrontiers in microbiology2015

The application of tetracyclineregulated gene expression systems in the validation of novel drug targets in Mycobacterium tuberculosis.

Joanna C Evans, Valerie Mizrahi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. CRISPR Interference-Mediated Silencing of theAntibiotics (Basel, Switzerland) · 2024
    Article
  5. Review
  6. Article
  7. Status quo of tet regulation in bacteria.Microbial biotechnology · 2022
    Review
  8. TargetingACS infectious diseases · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Transcriptional Inhibition of the FAntimicrobial agents and chemotherapy · 2020
    Article
  14. Biosynthesis of Galactan inAntibiotics (Basel, Switzerland) · 2020
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

2 authors at 1 institution in 1 country.

Joanna C EvansSouth African Medical Research Council/National Health Laboratory Service/University of Cape Town Molecular Mycobacteriology Research Unit Cape Town, South Africa ; DST/NRF Centre of Excellence for Biomedical TB Research, Institute of Infectious Disease and Molecular Medicine and Division of Medical Microbiology, Faculty of Health Sciences, University of Cape Town Cape Town, South Africa.
Valerie MizrahiSouth African Medical Research Council/National Health Laboratory Service/University of Cape Town Molecular Mycobacteriology Research Unit Cape Town, South Africa ; DST/NRF Centre of Excellence for Biomedical TB Research, Institute of Infectious Disease and Molecular Medicine and Division of Medical Microbiology, Faculty of Health Sciences, University of Cape Town Cape Town, South Africa.
National Health Laboratory Service · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although efforts to identify novel therapies for the treatment of tuberculosis have led to the identification of several promising drug candidates, the identification of high-quality hits from conventional whole-cell screens remains disappointingly low. The elucidation of the genome sequence of Mycobacterium tuberculosis (Mtb) facilitated a shift to target-based approaches to drug design but these efforts have proven largely unsuccessful. More recently, regulated gene expression systems that enable dose-dependent modulation of gene expression have been applied in target validation to evaluate the requirement of individual genes for the growth of Mtb both in vitro and in vivo. Notably, these systems can also provide a measure of the extent to which putative targets must be depleted in order to manifest a growth inhibitory phenotype. Additionally, the successful implementation of Mtb strains engineered to under-express specific molecular targets in whole-cell screens has enabled the simultaneous identification of cell-permeant inhibitors with defined mechanisms of action. Here, we review the application of tetracycline-regulated gene expression systems in the validation of novel drug targets in Mtb, highlighting both the strengths and limitations associated with this approach to target validation.

Indexed as

drug discoveryhypomorphsMycobacterium tuberculosisregulated gene expressiontarget-based whole cell screeningtarget validation

Identifiers

PMID26300875
PMCPMC4523840
OpenAlexW1619505209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.