Evidence map›Paper›PMID 19609720›Full record

ArticleMolecular biology reports2010

Analysis of predicted CD8+ T cell epitopes from proteins encoded by the specific RD regions of Mycobacterium tuberculosis for vaccine development and specific diagnosis.

Jiuling Wang, Hongmei Zhang, Honghai Wang

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In one paragraph

Article in Molecular biology reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Tuberculosis vaccine research in China.Emerging microbes & infections · 2012
    Review
  6. The importance of animal models in tuberculosis vaccine development.The Malaysian journal of medical sciences : MJMS · 2011
    Article
  7. 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

3 authors at 2 institutions in 2 countries.

Jiuling WangState Key Laboratory of Genetic Engineering, Institute of Genetics, Fudan University, 220 Handan Road, 200433, Shanghai, People's Republic of China.
Hongmei Zhang
Honghai Wang
Fudan University · CNInstitute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of regions designated as RD1-RD16 (region of difference) and encompassing 129 open reading frames have been identified between Mycobacterium tuberculosis and Mycobacterium bovis on the one hand and Bacillus Calmette-Guérin on the other. Identification of T cell epitopes from this set of proteins may serve to define candidate antigens with potentials in specific diagnosis and development of new vaccines against TB. All possible nonameric peptide sequences from proteins of these M. tuberculosis specific regions were analyzed in silico for the ability to bind to 33 alleles of class I HLA. These results reveal that of all RD proteins, a significant number of these peptides are predicted to be high-affinity HLA binders (T (1/2) >or= 100 min), irrespective of the length of the protein, and 67% of the peptides predicted to bind are mono-allelic in their binding. Pathogen peptides that could behave as self- or partially self-peptides in the host were eliminated using a comparative study with the human proteome, thus the number of peptides for analysis was reduced. The predicted epitopes can be tested experimentally for their inclusion in a potential vaccine against tuberculosis and specific diagnosis.

Indexed as

AllelesAmino Acid SequenceBacterial ProteinsCD8-Positive T-LymphocytesEpitope MappingEpitopes, T-LymphocyteHLA AntigensHumansMolecular Sequence DataMycobacterium tuberculosisPeptidesProtein BindingProtein Structure, TertiaryT-Lymphocytes, CytotoxicTuberculosisTuberculosis VaccinesBacterial ProteinsEpitopes, T-LymphocyteHLA AntigensPeptidesTuberculosis Vaccines

Identifiers

PMID19609720
OpenAlexW2009124598

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.