WAT3R: recovery of T-cell receptor variable regions from 3′ single-cell RNA-sequencing

Author:

Ainciburu Marina1234,Morgan Duncan M56,DePasquale Erica A K234,Love J Christopher456,Prósper Felipe1,van Galen Peter2347ORCID

Affiliation:

1. Program of Hemato-Oncology, University of Navarra , Pamplona 31008, Spain

2. Division of Hematology, Brigham and Women's Hospital , Boston, MA 02115, USA

3. Department of Medicine, Harvard Medical School , Boston, MA 02115, USA

4. Broad Institute of MIT and Harvard , Cambridge, MA 02142, USA

5. Department of Chemical Engineering, Massachusetts Institute of Technology , Cambridge, MA 02139, USA

6. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology , Cambridge, MA 02139, USA

7. Ludwig Center at Harvard, Harvard Medical School , Boston, MA 02115, USA

Abstract

Abstract Summary Diversity of the T-cell receptor (TCR) repertoire is central to adaptive immunity. The TCR is composed of α and β chains, encoded by the TRA and TRB genes, of which the variable regions determine antigen specificity. To generate novel biological insights into the complex functioning of immune cells, combined capture of variable regions and single-cell transcriptomes provides a compelling approach. Recent developments enable the enrichment of TRA and TRB variable regions from widely used technologies for 3′-based single-cell RNA-sequencing (scRNA-seq). However, a comprehensive computational pipeline to process TCR-enriched data from 3′ scRNA-seq is not available. Here, we present an analysis pipeline to process TCR variable regions enriched from 3′ scRNA-seq cDNA. The tool reports TRA and TRB nucleotide and amino acid sequences linked to cell barcodes, enabling the reconstruction of T-cell clonotypes with associated transcriptomes. We demonstrate the software using peripheral blood mononuclear cells from a healthy donor and detect TCR sequences in a high proportion of single T cells. Detection of TCR sequences is low in non-T-cell populations, demonstrating specificity. Finally, we show that TCR clones are larger in CD8 Memory T cells than in other T-cell types, indicating an association between T-cell clonotypes and differentiation states. Availability and implementation The Workflow for Association of T-cell receptors from 3′ single-cell RNA-seq (WAT3R), including test data, is available on GitHub (https://github.com/mainciburu/WAT3R), Docker Hub (https://hub.docker.com/r/mainciburu/wat3r) and a workflow on the Terra platform (https://app.terra.bio). The test dataset is available on GEO (accession number GSE195956). Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Ludwig Center at Harvard

NIH

Gilead Sciences, the Bertarelli Rare Cancers Fund

William Guy Forbeck Research Foundation

Glenn Foundation for Medical Research and American Federation for Aging Research

Government of Spain

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference22 articles.

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