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Relative quantification of TCR Vbeta-chain families by real time PCR for identification of clonal T-cell populations
BACKGROUND: Quantification of T-cell receptor (TCR) chain families can be utilized for detection of clonal T-cell populations. Besides southern blotting and antibody-based approaches, quantitative real time PCR (qRT PCR) has been more widely applied in this context during the last years. Here, the h...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2467404/ https://www.ncbi.nlm.nih.gov/pubmed/18593466 http://dx.doi.org/10.1186/1479-5876-6-34 |
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author | Ochsenreither, Sebastian Fusi, Alberto Busse, Antonia Nagorsen, Dirk Schrama, David Becker, Jürgen Thiel, Eckhard Keilholz, Ulrich |
author_facet | Ochsenreither, Sebastian Fusi, Alberto Busse, Antonia Nagorsen, Dirk Schrama, David Becker, Jürgen Thiel, Eckhard Keilholz, Ulrich |
author_sort | Ochsenreither, Sebastian |
collection | PubMed |
description | BACKGROUND: Quantification of T-cell receptor (TCR) chain families can be utilized for detection of clonal T-cell populations. Besides southern blotting and antibody-based approaches, quantitative real time PCR (qRT PCR) has been more widely applied in this context during the last years. Here, the heterogeneity of sequences within single families is the most challenging problem for exact quantification. METHOD: Vβ-families were quantified using a universal reverse primer and family-specific forward primers with TaqMan technology on a light cycler instrument. Relative concentrations were calculated considering slopes and crossing points of each PCR reaction. Total expression of α/β TCR was assessed by quantification of the constant α-chain as a further control. RESULTS: The method was tested by serial dilutions of clonal T-cells in mononuclear cells from healthy volunteers. Calculated percentages were in good correspondence with qRT PCR results demonstrating high reliability. Duplicates showed excellent technical reproducibility. We analyzed blood samples of 20 healthy volunteers for determination of mean and standard deviation for each family. The method was applied both to tissue and blood samples from patients with carcinomas and hematological disorders. CONCLUSION: We introduce a versatile method for the relative quantification of Vβ-families by real time PCR. The experimental strategy described allows the identification of alterations in the Vβ-family repertoire. |
format | Text |
id | pubmed-2467404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-24674042008-07-16 Relative quantification of TCR Vbeta-chain families by real time PCR for identification of clonal T-cell populations Ochsenreither, Sebastian Fusi, Alberto Busse, Antonia Nagorsen, Dirk Schrama, David Becker, Jürgen Thiel, Eckhard Keilholz, Ulrich J Transl Med Methodology BACKGROUND: Quantification of T-cell receptor (TCR) chain families can be utilized for detection of clonal T-cell populations. Besides southern blotting and antibody-based approaches, quantitative real time PCR (qRT PCR) has been more widely applied in this context during the last years. Here, the heterogeneity of sequences within single families is the most challenging problem for exact quantification. METHOD: Vβ-families were quantified using a universal reverse primer and family-specific forward primers with TaqMan technology on a light cycler instrument. Relative concentrations were calculated considering slopes and crossing points of each PCR reaction. Total expression of α/β TCR was assessed by quantification of the constant α-chain as a further control. RESULTS: The method was tested by serial dilutions of clonal T-cells in mononuclear cells from healthy volunteers. Calculated percentages were in good correspondence with qRT PCR results demonstrating high reliability. Duplicates showed excellent technical reproducibility. We analyzed blood samples of 20 healthy volunteers for determination of mean and standard deviation for each family. The method was applied both to tissue and blood samples from patients with carcinomas and hematological disorders. CONCLUSION: We introduce a versatile method for the relative quantification of Vβ-families by real time PCR. The experimental strategy described allows the identification of alterations in the Vβ-family repertoire. BioMed Central 2008-07-01 /pmc/articles/PMC2467404/ /pubmed/18593466 http://dx.doi.org/10.1186/1479-5876-6-34 Text en Copyright © 2008 Ochsenreither et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Ochsenreither, Sebastian Fusi, Alberto Busse, Antonia Nagorsen, Dirk Schrama, David Becker, Jürgen Thiel, Eckhard Keilholz, Ulrich Relative quantification of TCR Vbeta-chain families by real time PCR for identification of clonal T-cell populations |
title | Relative quantification of TCR Vbeta-chain families by real time PCR for identification of clonal T-cell populations |
title_full | Relative quantification of TCR Vbeta-chain families by real time PCR for identification of clonal T-cell populations |
title_fullStr | Relative quantification of TCR Vbeta-chain families by real time PCR for identification of clonal T-cell populations |
title_full_unstemmed | Relative quantification of TCR Vbeta-chain families by real time PCR for identification of clonal T-cell populations |
title_short | Relative quantification of TCR Vbeta-chain families by real time PCR for identification of clonal T-cell populations |
title_sort | relative quantification of tcr vbeta-chain families by real time pcr for identification of clonal t-cell populations |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2467404/ https://www.ncbi.nlm.nih.gov/pubmed/18593466 http://dx.doi.org/10.1186/1479-5876-6-34 |
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