Evidence map›Paper›PMID 18781655›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2008

Optimizing peptide matrices for identifying T-cell antigens.

Melissa L Precopio, Tiffany R Butterfield, Joseph P Casazza, Susan J Little, Douglas D Richman, Richard A Koup, Mario Roederer

Open access · hybridAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

27 citing papers in PubMed, 42 citations in OpenAlex.

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  12. CD4Cell reports · 2020
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  14. Most viral peptides displayed by class I MHC on infected cells are immunogenic.Proceedings of the National Academy of Sciences of the United States of America · 2019
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  16. Graft versus self (GvS) against T-cell autoantigens is a mechanism of graft-host interaction.Proceedings of the National Academy of Sciences of the United States of America · 2016
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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 at 4 institutions in 1 country.

Melissa L PrecopioImmunology Laboratory, Vaccine Research Center, NIAID, National Institutes of Health, Bethesda, Maryland 20892, USA. mprecopio@iderapharma.com
Tiffany R Butterfield
Joseph P Casazza
Susan J Little
Douglas D Richman
Richard A Koup
Mario Roederer
National Institutes of Health · USNational Institute of Allergy and Infectious Diseases · USUniversity of California, San Diego · USVA San Diego Healthcare System · US

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Sample Collection ProtocolsZIAAI005037 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI DROPULIC, LESIA K · 2009 to 2025
$21.4M
Southern California Primary Infection ProgramU01AI043638 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 1998 to 2010
$21.3M
Functional And Phenotypic Characterization Of T Cells In ManZIAAI005021 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2022
$14.4M
Immune ReconstitutionZIAAI005013 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI KOUP, RICHARD A · 2009 to 2012
$4.2M
Biomathematical analysis of viral dynamics/evolutionR01AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2001 to 2011
$3.2M
Develop Of Flow Cytometric Technologies For Immune AssayZ01AI005020 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI ROEDERER, MARIO · 2002 to 2008
$1.4M
Biomathematical Analysis of Viral Dynamics and EvolutionR56AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POND, SERGEI L KOSAKOVSKY · 2012 to 2012
$365k
BIOMATHEMATICAL ANALYSIS OF VIRAL DYNAMICS AND EVOLUTIONR21AI047745 · NIAID · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI RICHMAN, DOUGLAS D · 2000 to 2000
$308k
Intramural NIH HHS Z01 AI005020NIAID NIH HHS AI 043638NIAID NIH HHS AI 047745NIAID NIH HHS AI 36214NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI047745NIAID NIH HHS R21 AI047745NIAID NIH HHS R24 AI106039NIAID NIH HHS R56 AI047745NIAID NIH HHS U01 AI043638
6 · The paper itself

Abstract

Mapping T-cell epitopes for a pathogen or vaccine requires a complex method for screening hundreds to thousands of peptides with a limited amount of donor sample. We describe an optimized deconvolution process by which peptides are pooled in a matrix format to minimize the number of tests required to identify peptide epitopes. Four peptide pool matrices were constructed to deconvolute the HIV-specific T-cell response in three HIV-infected individuals. ELISpot assays were used to map peptide antigens. Many HIV peptides were mapped in all three individuals. However, there were several challenges and limitations associated with the deconvolution process. Peptides that induced low-frequency responses or were masked by peptide competition within a given pool were not identified, because they did not meet the threshold criteria for a positive response. Also, amino acid sequence variation limited the ability of this method to map autologous HIV peptides. Alternative analysis strategies and revisions to the original matrix optimizations are presented that address ways to increase peptide identification. This optimized deconvolution method allows for efficient mapping of T-cell peptide epitopes. It is rapid, powerful, efficient, and unrestricted by HLA type.

Indexed as

Amino Acid SequenceEpitopes, T-LymphocyteHIVHIV SeropositivityHumansPeptidesReproducibility of ResultsTissue DonorsT-LymphocytesEpitopes, T-LymphocytePeptides

Identifiers

PMID18781655
PMCPMC2586828
OpenAlexW1836035148

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.