Literature DB >> 10230360

An automated method for the analysis of T-cell receptor repertoires. Rapid RT-PCR fragment length analysis of the T-cell receptor beta chain complementarity-determining region 3.

C Lue1, Y Mitani, M D Crew, J F George, L M Fink, S A Schichman.   

Abstract

The examination of T-cell receptor (TCR) repertoires has an important role in the study of lymphoproliferative disorders and autoimmune diseases. Analysis of the complementarity-determining region 3 (CDR3) of the TCR beta chain is used to assess the clonality of T-cell populations. We developed a rapid fluorescence-based method for CDR3 length analysis of expressed TCR gene families. TCR beta chain complementary DNA is amplified by a nested polymerase chain reaction with V beta family-specific oligonucleotide primers and a fluorochrome-labeled C beta primer. The polymerase chain reaction products were analyzed on a compact automated DNA sequencing system (OpenGene system, Visible Genetics, Toronto, Ontario). To demonstrate the usefulness of our technique, we examined the CDR3 length distribution of peripheral blood T cells from a healthy subject, intestinal T cells from a patient with ulcerative colitis, and the T-cell leukemia cell line Jurkat. The analysis revealed polyclonal, oligoclonal, and monoclonal CDR3 distributions, respectively, for the 3 T-cell populations. Our new method shows virtually identical CDR3 length patterns compared with the traditional radioisotope-based method. The new technique offers the convenience of rapid throughput, nonradioactive labeling, and quality data analysis.

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Year:  1999        PMID: 10230360     DOI: 10.1093/ajcp/111.5.683

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  1 in total

Review 1.  The past, present, and future of immune repertoire biology - the rise of next-generation repertoire analysis.

Authors:  Adrien Six; Maria Encarnita Mariotti-Ferrandiz; Wahiba Chaara; Susana Magadan; Hang-Phuong Pham; Marie-Paule Lefranc; Thierry Mora; Véronique Thomas-Vaslin; Aleksandra M Walczak; Pierre Boudinot
Journal:  Front Immunol       Date:  2013-11-27       Impact factor: 7.561

  1 in total

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