Literature DB >> 21385585

Measurement of absolute T cell receptor rearrangement diversity.

Paul D Baum1, Jennifer J Young, Joseph M McCune.   

Abstract

T cell receptor (TCR) diversity is critical for adaptive immunity. Existing methods for measuring such diversity are qualitative, expensive, and/or of uncertain accuracy. Here, we describe a method and associated reagents for estimating the absolute number of unique TCR Vβ rearrangements present in a given number of cells or volume of blood. Compared to next generation sequencing, this method is rapid, reproducible, and affordable. Diversity of a sample is calculated based on three independent measurements of one Vβ-Jβ family of TCR rearrangements at a time. The percentage of receptors using the given Vβ gene is determined by flow cytometric analysis of T cells stained with anti-Vβ family antibodies. The percentage of receptors using the Vβ gene in combination with the chosen Jβ gene is determined by quantitative PCR. Finally, the absolute clonal diversity of the Vβ-Jβ family is determined with the AmpliCot method of DNA hybridization kinetics, by interpolation relative to PCR standards of known sequence diversity. These three component measurements are reproducible and linear. Using titrations of known numbers of input cells, we show that the TCR diversity estimates obtained by this approach approximate expected values within a two-fold error, have a coefficient of variation of 20%, and yield similar results when different Vβ-Jβ pairs are chosen. The ability to obtain accurate measurements of the total number of different TCR gene rearrangements in a cell sample should be useful for basic studies of the adaptive immune system as well as in clinical studies of conditions such as HIV disease, transplantation, aging, and congenital immunodeficiencies.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21385585     DOI: 10.1016/j.jim.2011.03.001

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  5 in total

1.  A generalized mathematical model to estimate T- and B-cell receptor diversities using AmpliCot.

Authors:  Irina Baltcheva; Ellen Veel; Thomas Volman; Dan Koning; Anja Brouwer; Jean-Yves Le Boudec; Kiki Tesselaar; Rob J de Boer; José A M Borghans
Journal:  Biophys J       Date:  2012-09-05       Impact factor: 4.033

2.  Blood T-cell receptor diversity decreases during the course of HIV infection, but the potential for a diverse repertoire persists.

Authors:  Paul D Baum; Jennifer J Young; Diane Schmidt; Qianjun Zhang; Rebecca Hoh; Michael Busch; Jeffrey Martin; Steven Deeks; Joseph M McCune
Journal:  Blood       Date:  2012-02-27       Impact factor: 22.113

3.  Effects of intrabone marrow-bone marrow transplantation plus adult thymus transplantation on survival of mice bearing leukemia.

Authors:  Yuming Zhang; Naoki Hosaka; Yunze Cui; Ming Shi; Ming Li; Qing Li; Susumu Ikehara
Journal:  Stem Cells Dev       Date:  2011-10-19       Impact factor: 3.272

4.  Altered regulation of CXCR4 expression during aging contributes to increased CXCL12-dependent chemotactic migration of CD4(+) T cells.

Authors:  Stefania Cané; Subramaniam Ponnappan; Usha Ponnappan
Journal:  Aging Cell       Date:  2012-06-04       Impact factor: 9.304

Review 5.  Mathematics in modern immunology.

Authors:  Mario Castro; Grant Lythe; Carmen Molina-París; Ruy M Ribeiro
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

  5 in total

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