Evidence map›Paper›PMID 17880719›Full record

ArticleBMC genomics2007

Quantitative measurement of pathogen-specific human memory T cell repertoire diversity using a CDR3 beta-specific microarray.

Xujing Wang, Shuang Jia, Lisa Meyer, Maryam B Yassai, Yuri N Naumov, Jack Gorski, Martin J Hessner

Abstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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.

Xujing WangThe Max McGee National Research Center for Juvenile Diabetes, Department of Pediatrics, The Medical College of Wisconsin and The Children's Hospital Research Institute of Children's Hospital of Wisconsin, Milwaukee, WI 53226, USA. xwang@mcw.edu
Shuang Jia
Lisa Meyer
Maryam B Yassai
Yuri N Naumov
Jack Gorski
Martin J Hessner

Funding

Viral Vector CoreU19AI062627 · NIAID · VERSITI WISCONSIN, INC. · PI GORSKI, JACK A · 2004 to 2008
$11.6M
HIGH DENSITY MICROARRAYS WITH QUANTITATIVE QC/QAR01EB001421 · NIBIB · MEDICAL COLLEGE OF WISCONSIN · PI HESSNER, MARTIN JOHN · 2003 to 2006
$1.5M
NIAID NIH HHS U19 AI062627NIAID NIH HHS U19AI062627NIBIB NIH HHS R01 EB001421NIBIB NIH HHS R01EB001421
6 · The paper itself

Abstract

backgroundProviding quantitative microarray data that is sensitive to very small differences in target sequence would be a useful tool in any number of venues where a sample can consist of a multiple related sequences present in various abundances. Examples of such applications would include measurement of pseudo species in viral infections and the measurement of species of antibodies or T cell receptors that constitute immune repertoires. Difficulties that must be overcome in such a method would be to account for cross-hybridization and for differences in hybridization efficiencies between the arrayed probes and their corresponding targets. We have used the memory T cell repertoire to an influenza-derived peptide as a test case for developing such a method.

resultsThe arrayed probes were corresponded to a 17 nucleotide TCR-specific region that distinguished sequences differing by as little as a single nucleotide. Hybridization efficiency between highly related Cy5-labeled subject sequences was normalized by including an equimolar mixture of Cy3-labeled synthetic targets representing all 108 arrayed probes. The same synthetic targets were used to measure the degree of cross hybridization between probes. Reconstitution studies found the system sensitive to input ratios as low as 0.5% and accurate in measuring known input percentages (R2 = 0.81, R = 0.90, p < 0.0001). A data handling protocol was developed to incorporate the differences in hybridization efficiency. To validate the array in T cell repertoire analysis, it was used to analyze human recall responses to influenza in three human subjects and compared to traditional cloning and sequencing. When evaluating the rank order of clonotype abundance determined by each method, the approaches were not found significantly different (Wilcoxon rank-sum test, p > 0.05).

conclusionThis novel strategy appears to be robust and can be adapted to any situation where complex mixtures of highly similar sequences need to be quantitatively resolved.

Indexed as

Gene Rearrangement, beta-Chain T-Cell Antigen ReceptorGenes, T-Cell Receptor betaImmunologic MemoryAmino Acid MotifsAntigens, ViralCells, CulturedComplementarity Determining RegionsHLA-A2 AntigenHumansInfluenza A virusOligonucleotide Array Sequence AnalysisOligonucleotide ProbesPeptide FragmentsSequence Homology, Nucleic AcidT-Cell Antigen Receptor SpecificityT-Lymphocytes, CytotoxicAntigens, ViralComplementarity Determining RegionsHLA-A2 Antigeninfluenza virus membrane protein (58-66)Oligonucleotide ProbesPeptide FragmentsViral Matrix Proteins

Identifiers

PMID17880719
PMCPMC2039751

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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.