Evidence map›Paper›PMID 31580405›Full record

ArticleBioinformatics (Oxford, England)2020

Towards next-generation diagnostics for tuberculosis: identification of novel molecular targets by large-scale comparative genomics.

Galo A Goig, Manuela Torres-Puente, Carla Mariner-Llicer, Luis M Villamayor, Álvaro Chiner-Oms, Ana Gil-Brusola, Rafael Borrás, Iñaki Comas Espadas

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Direct nanopore sequencing ofMicrobial genomics · 2026
    Article
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  3. Nanopore sequencing for precise detection ofJournal of clinical microbiology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. A multiplex PCR assay for the differentiation ofFrontiers in cellular and infection microbiology · 2023
    Article
  8. Article
  9. 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

8 authors at 4 institutions in 1 country.

Galo A GoigTuberculosis Genomics Unit, Institute of Biomedicine of Valencia (CSIC), Valencia 46010, Spain.
Manuela Torres-PuenteTuberculosis Genomics Unit, Institute of Biomedicine of Valencia (CSIC), Valencia 46010, Spain.
Carla Mariner-LlicerTuberculosis Genomics Unit, Institute of Biomedicine of Valencia (CSIC), Valencia 46010, Spain.
Luis M VillamayorGenomics and Health Unit, FISABIO Public Health (CSISP), Valencia 46035, Spain.
Álvaro Chiner-OmsTuberculosis Genomics Unit, Institute of Biomedicine of Valencia (CSIC), Valencia 46010, Spain.
Ana Gil-BrusolaMicrobiology Service, La Fe University and Polytechnic Hospital, Valencia 46026, Spain.
Rafael BorrásMicrobiology Service, University Clinic Hospital, Valencia 46010, Spain.
Iñaki Comas EspadasTuberculosis Genomics Unit, Institute of Biomedicine of Valencia (CSIC), Valencia 46010, Spain.
Biomechanics Institute of Valencia · ESFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana · ESHospital Universitari i Politècnic La Fe · ESUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationTuberculosis (TB) remains one of the main causes of death worldwide. The long and cumbersome process of culturing Mycobacterium tuberculosis complex (MTBC) bacteria has encouraged the development of specific molecular tools for detecting the pathogen. Most of these tools aim to become novel TB diagnostics, and big efforts and resources are invested in their development, looking for the endorsement of the main public health agencies. Surprisingly, no study has been conducted where the vast amount of genomic data available is used to identify the best MTBC diagnostic markers.

resultsIn this work, we used large-scale comparative genomics to identify 40 MTBC-specific loci. We assessed their genetic diversity and physiological features to select 30 that are good targets for diagnostic purposes. Some of these markers could be used to assess the physiological status of the bacilli. Remarkably, none of the most used MTBC markers is in our catalog. Illustrating the translational potential of our work, we develop a specific qPCR assay for quantification and identification of MTBC DNA. Our rational design of targeted molecular assays for TB could be used in many other fields of clinical and basic research. AVAILABILITY AND IMPLEMENTATION: The database of non-tuberculous mycobacteria assemblies can be accessed at: 10.5281/zenodo.3374377. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Mycobacterium tuberculosisTuberculosisBiomarkersGenomicsHumansBiomarkers

Identifiers

PMID31580405
PMCPMC7703747
OpenAlexW2982588599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.