Evidence map›Paper›PMID 12540583›Full record

ArticleInfection and immunity2003

DNA alkylation damage as a sensor of nitrosative stress in Mycobacterium tuberculosis.

Steven I Durbach, Burkhard Springer, Edith E Machowski, Robert J North, K G Papavinasasundaram, M Jo Colston, Erik C Böttger, Valerie Mizrahi

Open access · greenAbstract read
In one paragraph

Article in Infection and immunity, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
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  4. Morphological profiling of tubercle bacilli identifies drug pathways of action.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  5. Targeting Genome Integrity inMolecules (Basel, Switzerland) · 2020
    Review
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  7. Review
  8. Every OGT Is Illuminated … by Fluorescent and Synchrotron Lights.International journal of molecular sciences · 2017
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

8 authors at 5 institutions in 4 countries.

Steven I DurbachMRC/NHLS/WITS Molecular Mycobacteriology Research Unit, School of Pathology, University of the Witwatersrand, and National Health Laboratory Service, Johannesburg, South Africa.
Burkhard Springer
Edith E Machowski
Robert J North
K G Papavinasasundaram
M Jo Colston
Erik C Böttger
Valerie Mizrahi
National Health Laboratory Service · ZANational Institute for Health Research · GBUniversity of Zurich · CHTrudeau Institute · USUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the cellular consequences of nitrosative stress is alkylation damage to DNA. To assess whether nitrosative stress is registered on the genome of Mycobacterium tuberculosis, mutants lacking an alkylation damage repair and reversal operon were constructed. Although hypersensitive to the genotoxic effects of N-methyl-N'-nitro-N-nitrosoguanidine in vitro, the mutants displayed no phenotype in vivo, suggesting that permeation of nitrosative stress to the level of cytotoxic DNA damage is restricted.

Indexed as

DNA DamageAlkylationAnimalsDNA, BacterialMethylnitronitrosoguanidineMiceMice, Inbred C57BLMutationMycobacterium tuberculosisNitrate ReductasesNitratesNitrosationTuberculosis, PulmonaryVirulenceDNA, BacterialMethylnitronitrosoguanidineNitrate ReductasesNitrates

Identifiers

PMID12540583
PMCPMC145403
OpenAlexW1989499442

What OpenQuestion holds

Textmetadata
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.