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Defining the clonality of peripheral T cell lymphomas using RNA-seq.


ABSTRACT: In T-cell lymphoma, malignant T cells arising from a founding clone share an identical T cell receptor (TCR) and can be identified by the over-representation of this TCR relative to TCRs from the patient's repertoire of normal T cells. Here, we demonstrate that TCR information extracted from RNA-seq data can provide a higher resolution view of peripheral T cell lymphomas (PTCLs) than that provided by conventional methods.For 60 subjects with PTCL, flow cytometry/FACS was used to identify and sort aberrant T cell populations from diagnostic lymph node cell suspensions. For samples that did not appear to contain aberrant T cell populations, T helper (T H ), T follicular helper (T FH ) and cytotoxic T lymphocyte (CTL) subsets were sorted. RNA-seq was performed on sorted T cell populations, and TCR alpha and beta chain sequences were extracted and quantified directly from the RNA-seq data. 96% of the immunophenotypically aberrant samples had a dominant T cell clone readily identifiable by RNA-seq. Of the samples where no aberrant population was found by flow cytometry, 80% had a dominant clone by RNA-seq. This demonstrates the increased sensitivity and diagnostic ability of RNA-seq over flow cytometry and shows that the presence of a normal immunophenotype does not exclude clonality.R scripts used in the processing of the data are available online at https://www.github.com/scottdbrown/RNAseq-TcellClonality.rholt@bcgsc.ca or ksavage@bccancer.bc.ca.Supplementary data are available at Bioinformatics online.

SUBMITTER: Brown SD 

PROVIDER: S-EPMC5408843 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Defining the clonality of peripheral T cell lymphomas using RNA-seq.

Brown Scott D SD   Hapgood Greg G   Steidl Christian C   Weng Andrew P AP   Savage Kerry J KJ   Holt Robert A RA  

Bioinformatics (Oxford, England) 20170401 8


<h4>Motivation</h4>In T-cell lymphoma, malignant T cells arising from a founding clone share an identical T cell receptor (TCR) and can be identified by the over-representation of this TCR relative to TCRs from the patient's repertoire of normal T cells. Here, we demonstrate that TCR information extracted from RNA-seq data can provide a higher resolution view of peripheral T cell lymphomas (PTCLs) than that provided by conventional methods.<h4>Results</h4>For 60 subjects with PTCL, flow cytometr  ...[more]

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