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American Journal of Pathology, Vol 152, 29-33, Copyright © 1998 by American Society for Investigative Pathology

REGULAR ARTICLES

Automated high-resolution polymerase chain reaction fragment analysis: a method for detecting T-cell receptor gamma-chain gene rearrangements in lymphoproliferative diseases

M Simon, P Kind, P Kaudewitz, M Krokowski, A Graf, J Prinz, U Puchta, LJ Medeiros and CA Sander
Department of Dermatology, Ludwig Maximilians University, Munich, Germany.

Southern blot analysis and the polymerase chain reaction (PCR) are powerful tools for detecting clonal antigen receptor gene rearrangements. However, a number of limitations restrict the predictive value of the results obtained by these techniques as they are commonly used. We describe a new method, automated high-resolution PCR fragment analysis, that can partially overcome many of the limitations of analyzing the T-cell receptor (TCR) gamma-chain gene. Analysis of TCR-gamma is performed using PCR with four sets of primers, previously described by others, specific for all variable (V) and joining (J) regions of the TCR gamma-chain gene. In addition, the four V region primers are 5' end-labeled with a fluorescent compound, 5- carboxyfluorescein. After amplification, the labeled PCR products are separated with an automated sequencing system, ABI 373 (Applied Biosystems, Weiterstadt, Germany). With the help of the Gene-Scan software ABI 672 (Applied Biosystems) and fluorescent-labeled DNA length markers, the exact size of each peak can be displayed and analyzed. The resolution of this method allows separation of PCR products differing in length by as little as 1 bp. Semiquantitative estimation of specific clones also can be performed. Infiltrate- specific gene rearrangement patterns can be identified and recognized in different tissue specimens at the time of diagnosis or in subsequent biopsy specimens. We conclude that automated high-resolution PCR fragment analysis allows more accurate and convenient analysis of the TCR gamma-chain gene.

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