CRIS: complete reconstruction of immunoglobulin V-D-J sequences from RNA-seq data

Author:

Islam Rashedul123ORCID,Bilenky Misha3,Weng Andrew P45,Connors Joseph M6ORCID,Hirst Martin123

Affiliation:

1. Bioinformatics Graduate Program, University of British Columbia, Vancouver, BC V5Z 4S6, Canada

2. Department of Microbiology and Immunology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z3, Canada

3. Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada

4. Terry Fox Laboratory, BC Cancer, Vancouver, BC V5Z 1L3, Canada

5. Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 2B5, Canada

6. Department of Medical Oncology, BC Cancer, Vancouver, BC, V5Z 4E6, Canada

Abstract

Abstract Motivation B cells display remarkable diversity in producing B-cell receptors through recombination of immunoglobulin (Ig) V-D-J genes. Somatic hypermutation (SHM) of immunoglobulin heavy chain variable (IGHV) genes are used as a prognostic marker in B-cell malignancies. Clinically, IGHV mutation status is determined by targeted Sanger sequencing which is a resource-intensive and low-throughput procedure. Here, we describe a bioinformatic pipeline, CRIS (Complete Reconstruction of Immunoglobulin IGHV-D-J Sequences) that uses RNA sequencing (RNA-seq) datasets to reconstruct IGHV-D-J sequences and determine IGHV SHM status. Results CRIS extracts RNA-seq reads aligned to Ig gene loci, performs assembly of Ig transcripts and aligns the resulting contigs to reference Ig sequences to enumerate and classify SHMs in the IGHV gene sequence. CRIS improves on existing tools that infer the B-cell receptor repertoire from RNA-seq data using a portion IGHV gene segment by de novo assembly. We show that the SHM status identified by CRIS using the entire IGHV gene segment is highly concordant with clinical classification in three independent chronic lymphocytic leukemia patient cohorts. Availability and implementation The CRIS pipeline is available under the MIT License from https://github.com/Rashedul/CRIS. Supplementary information Supplementary data are available at Bioinformatics Advances online.

Funder

Canadian Institutes of Health Research

Genome Canada (C41EMT and C32EMT) under the Canadian Epigenetics, Environment and Health Research Consortium (to M.H.

Terry Fox Research Institute Program Projects

CIHR Bioinformatics Training Program for Health Research

University of British Columbia, Vancouver, BC, Canada

Publisher

Oxford University Press (OUP)

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