CRIS: complete reconstruction of immunoglobulin V-D-J sequences from RNA-seq data
Bioinformatics Advances, ISSN: 2635-0041, Vol: 1, Issue: 1, Page: vbab021
2021
- 4Citations
- 12Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations4
- Citation Indexes4
- CrossRef2
- Captures12
- Readers12
- 12
Article Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85141309585&origin=inward; http://dx.doi.org/10.1093/bioadv/vbab021; http://www.ncbi.nlm.nih.gov/pubmed/34806017; https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbab021/6367791; https://dx.doi.org/10.1093/bioadv/vbab021; https://academic.oup.com/bioinformaticsadvances/article/1/1/vbab021/6367791
Oxford University Press (OUP)
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