Evidence map›Paper›PMID 7868268›Full record

ArticleInfection and immunity1995

Molecular and immunological characterization of the highly conserved antigen 84 from Mycobacterium tuberculosis and Mycobacterium leprae.

P W Hermans, F Abebe, V I Kuteyi, A H Kolk, J E Thole, M Harboe

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In one paragraph

Article in Infection and immunity, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 37 citations in OpenAlex.

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  10. Bacterial growth and cell division: a mycobacterial perspective.Microbiology and molecular biology reviews : MMBR · 2008
    Review
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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

6 authors at 1 institution in 1 country.

P W HermansArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
F Abebe
V I Kuteyi
A H Kolk
J E Thole
M Harboe
Armauer Hansen Research Institute · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crossed immunoelectrophoresis (CIE) has been used to develop a reference system for classifying mycobacterial antigens. The subsequent use of specific antibodies allowed further determination of antigens by molecular weight. The monoclonal antibody F126-2, originally raised against a 34-kDa antigen of Mycobacterium kansasii, reacted with antigen 84 (Ag84) in the CIE reference system for Mycobacterium bovis BCG and Mycobacterium tuberculosis. To characterize Ag84, we screened a lambda gt11 gene library from M. tuberculosis with antibody F126-2 and identified the encoding gene. The corresponding Mycobacterium leprae Ag84 gene was subsequently selected from a cosmid library, using the M. tuberculosis gene as a probe. Both genes were expressed as 34-kDa proteins in Escherichia coli, and the recombinant proteins indeed corresponded to Ag84 in the CIE reference system. The derived amino acid sequences of the M. tuberculosis and M. leprae proteins showed 85% identity, which indicates that Ag84 constitutes a group of highly conserved mycobacterial antigens. Antibodies of almost 60% of lepromatous leprosy patients responded to Ag84, indicating that the protein is highly immunogenic following infection in multibacillary leprosy.

Indexed as

Amino Acid SequenceAntibodies, BacterialAntigens, BacterialBase SequenceConserved SequenceEscherichia coliGene LibraryGenes, BacterialHumansImmunoelectrophoresis, Two-DimensionalLeprosyMolecular Sequence DataMycobacterium lepraeMycobacterium tuberculosisRecombinant ProteinsSelection, GeneticAntibodies, Bacterialantigen 84, MycobacteriumAntigens, BacterialRecombinant Proteins

Identifiers

PMID7868268
PMCPMC173095
OpenAlexW2103152908

What OpenQuestion holds

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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.