Evidence map›Paper›PMID 15184459›Full record

ArticleJournal of clinical microbiology2004

Use of the hupB gene encoding a histone-like protein of Mycobacterium tuberculosis as a target for detection and differentiation of M. tuberculosis and M. bovis.

S Prabhakar, A Mishra, A Singhal, V M Katoch, S S Thakral, J S Tyagi, H K Prasad

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Accurate Identification of Closely RelatedFrontiers in cellular and infection microbiology · 2021
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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

7 authors.

S PrabhakarDepartment of Biotechnology, All India Institute of Medical Sciences, New Delhi 110029, India.
A Mishra
A Singhal
V M Katoch
S S Thakral
J S Tyagi
H K Prasad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gene for histone-like protein (hupB [Rv2986c]) of Mycobacterium tuberculosis has been identified as a singular target which allows differentiation of two closely related mycobacterial species, namely, M. tuberculosis and M. bovis of the MTB complex, by a PCR assay. The N and S primer-generated PCR amplicons differed in M. tuberculosis and M. bovis; these amplicons were determined to be 645 and 618 bp, respectively. This difference was localized to the C-terminal part of the gene by using primers M and S. The C-terminal PCR amplicons of M. tuberculosis and M. bovis were determined to be 318 and 291 bp, respectively. The differences in the C-terminal portion of the gene were confirmed by restriction fragment length polymorphism analysis and sequencing. Sequence analysis indicated that in M. bovis there was a deletion of 27 bp (9 amino acids) in frame after codon 128 in the C-terminal part of the hupB gene. In the present study 104 mycobacterial strains and 11 nonmycobacterial species were analyzed for hupB gene sequences. Of the 104 mycobacterial strains included, 62 belonged to the MTB complex and 42 were non-MTB complex strains and species. Neither the hupB gene-specific primers (N and S) nor the C-terminal primers (M and S) amplify DNA from any other mycobacteria, making the assay suitable for distinguishing members of the MTB complex from other mycobacterial species, as well as for differentiating between members of the MTB complex, namely, M. tuberculosis and M. bovis.

Indexed as

Genes, BacterialBase SequenceHistonesHumansMolecular Sequence DataMycobacterium bovisMycobacterium tuberculosisPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthRNA, Ribosomal, 23SHistonesRNA, Ribosomal, 23S

Identifiers

PMID15184459
PMCPMC427828

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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.