Evidence map›Paper›PMID 34235666›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Whole-Genome Sequencing of Mycobacterium tuberculosis Directly from Sputum Samples.

Amanda Claire Brown

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Decoding EcuadorianBiomedicines · 2025
    Article
  5. Genotype-Phenotype Characterization of Serial Mycobacterium tuberculosis Isolates in Bedaquiline-Resistant Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  6. Molecular Capture ofInternational journal of molecular sciences · 2023
    Article
  7. Article
  8. Case report: Intraabdominal infection ofFrontiers in medicine · 2023
    Article
  9. Article
  10. 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

1 author at 1 institution in 1 country.

Amanda Claire BrownOxford Gene Technology, Oxford, UK. amandabrown@tamu.edu.
Oxford Gene Technology (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing is a powerful, high-resolution tool that can be used to generate accurate data on bacterial population structure, phylogeography, and mutations associated with antimicrobial resistance. The ability to sequence pathogen genomes directly from clinical specimens, without the requirement for in vitro culturing, is attractive in terms of time- and labor-saving, especially in the case of slow growing pathogens, such as Mycobacterium tuberculosis. However, clinical samples typically contain too low levels of pathogen nucleic acid, plus relatively high levels of human and natural microbiota DNA/RNA, to make this a viable option. Using a combination of whole-genome enrichment and deep sequencing, which has been proven to be a nonmutagenic approach, we can capture all known variations found within M. tuberculosis genomes. The method is a consistent and sensitive tool that enables rapid whole-genome sequencing of M. tuberculosis directly from clinical samples and has the potential to be adapted to other pathogens with a similar clonal nature.

Indexed as

Genome, BacterialDiagnostic Tests, RoutineHumansMycobacterium tuberculosisSputumTuberculosisWhole Genome SequencingClinical samplesMycobacterium tuberculosisSureSelectXTTBWhole-genome enrichmentWhole-genome sequencing

Identifiers

PMID34235666
OpenAlexW3180299725

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.