Evidence map›Paper›PMID 20634998›Full record

ArticlePloS one2010

Peptide-MHC cellular microarray with innovative data analysis system for simultaneously detecting multiple CD4 T-cell responses.

Xinhui Ge, John A Gebe, Paul L Bollyky, Eddie A James, Junbao Yang, Lawrence J Stern, William W Kwok

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. MHC class II tetramers.Journal of immunology (Baltimore, Md. : 1950) · 2012
    Review
  12. Hallmarks of CD4 T cell immunity against influenza.Journal of internal medicine · 2011
    Review
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 3 institutions in 1 country.

Xinhui GeBenaroya Research Institute at Virginia Mason, Seattle, Washington, USA.
John A Gebe
Paul L Bollyky
Eddie A James
Junbao Yang
Lawrence J Stern
William W Kwok
Benaroya Research InstituteUniversity of Massachusetts Chan Medical School · USVirginia Mason Medical Center · US

Funding

Technologies for Human Cellular ImmunologyU19AI057319 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FINBERG, ROBERT WILLIAM · 2003 to 2013
$34.4M
Functional HLA-A*201-peptide and DR0401-peptide microarrays for Type 1 diabetesR21DK077525 · NIDDK · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI KWOK, WILLIAM W. · 2006 to 2007
$496k
NIAID NIH HHS HHSN272200900043CNIAID NIH HHS U19 AI057319NIAID NIH HHS U19 AI57319NIDDK NIH HHS R21 DK077525NIDDK NIH HHS R21 DK077525-02
6 · The paper itself

Abstract

backgroundPeptide:MHC cellular microarrays have been proposed to simultaneously characterize multiple Ag-specific populations of T cells. The practice of studying immune responses to complicated pathogens with this tool demands extensive knowledge of T cell epitopes and the availability of peptide:MHC complexes for array fabrication as well as a specialized data analysis approach for result interpretation. METHODOLOGY/PRINCIPAL

findingsWe co-immobilized peptide:DR0401 complexes, anti-CD28, anti-CD11a and cytokine capture antibodies on the surface of chamber slides to generate a functional array that was able to detect rare Ag-specific T cell populations from previously primed in vitro T cell cultures. A novel statistical methodology was also developed to facilitate batch processing of raw array-like data into standardized endpoint scores, which linearly correlated with total Ag-specific T cell inputs. Applying these methods to analyze Influenza A viral antigen-specific T cell responses, we not only revealed the most prominent viral epitopes, but also demonstrated the heterogeneity of anti-viral cellular responses in healthy individuals. Applying these methods to examine the insulin producing beta-cell autoantigen specific T cell responses, we observed little difference between autoimmune diabetic patients and healthy individuals, suggesting a more subtle association between diabetes status and peripheral autoreactive T cells. CONCLUSIONS/SIGNIFICANCE: The data analysis system is reliable for T cell specificity and functional testing. Peptide:MHC cellular microarrays can be used to obtain multi-parametric results using limited blood samples in a variety of translational settings.

Indexed as

Protein Array AnalysisAmino Acid SequenceCD4-Positive T-LymphocytesEpitopes, T-LymphocyteHLA AntigensHumansInfluenza A virusInterferon-gammaMolecular Sequence DataPeptidesEpitopes, T-LymphocyteHLA AntigensInterferon-gammaPeptides

Identifiers

PMID20634998
PMCPMC2902358
OpenAlexW2003114708

What OpenQuestion holds

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LicenceCC BY
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.