Evidence map›Paper›PMID 25948811›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2015

A population response analysis approach to assign class II HLA-epitope restrictions.

Sinu Paul, Myles B C Dillon, Cecilia S Lindestam Arlehamn, Huang Huang, Mark M Davis, Denise M McKinney, Thomas Jens Scriba, John Sidney, Bjoern Peters, Alessandro Sette

Open access · bronzeAbstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
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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

10 authors at 3 institutions in 2 countries.

Sinu Paul *La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Myles B C Dillon *La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Cecilia S Lindestam ArlehamnLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Huang HuangThe Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305.
Mark M DavisThe Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305.
Denise M McKinneyLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Thomas Jens ScribaVaccine Initiative, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, South Africa.
John SidneyLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Bjoern PetersLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
Alessandro SetteLa Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
La Jolla Institute for Immunology · USStanford University · USSouth African Tuberculosis Vaccine Initiative · ZA

Funding

NIAID NIH HHS HHSN272200900042CNIAID NIH HHS HHSN272200900044CNIAID NIH HHS HHSN272201200010CPHS HHS HHSN272200900042CPHS HHS HHSN272200900044CPHS HHS HHSN272201200010CPHS HHS HHSN272201400045C
6 · The paper itself

Abstract

Identification of the specific HLA locus and allele presenting an epitope for recognition by specific TCRs (HLA restriction) is necessary to fully characterize the immune response to Ags. Experimental determination of HLA restriction is complex and technically challenging. As an alternative, the restricting HLA locus and allele can be inferred by genetic association, using response data in an HLA-typed population. However, simple odds ratio (OR) calculations can be problematic when dealing with large numbers of subjects and Ags, and because the same epitope can be presented by multiple alleles (epitope promiscuity). In this study, we develop a tool, denominated Restrictor Analysis Tool for Epitopes, to extract inferred restriction from HLA class II-typed epitope responses. This automated method infers HLA class II restriction from large datasets of T cell responses in HLA class II-typed subjects by calculating ORs and relative frequencies from simple data tables. The program is validated by: 1) analyzing data of previously determined HLA restrictions; 2) experimentally determining in selected individuals new HLA restrictions using HLA-transfected cell lines; and 3) predicting HLA restriction of particular peptides and showing that corresponding HLA class II tetramers efficiently bind to epitope-specific T cells. We further design a specific iterative algorithm to account for promiscuous recognition by calculation of OR values for combinations of different HLA molecules while incorporating predicted HLA binding affinity. The Restrictor Analysis Tool for Epitopes program streamlines the prediction of HLA class II restriction across multiple T cell epitopes and HLA types.

Indexed as

Models, ImmunologicalSoftwareAlgorithmsAllelesComputational BiologyDatasets as TopicEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHistocompatibility TestingHumansInternetPeptidesProtein BindingReceptors, Antigen, T-CellReproducibility of ResultsEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIPeptidesReceptors, Antigen, T-Cell

Identifiers

PMID25948811
PMCPMC4458389
OpenAlexW1868870865

What OpenQuestion holds

Textmetadata
LicenceTDM
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.