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WAT3R: Recovery of T-Cell Receptor Variable Regions From 3’ Single-Cell RNA-Sequencing

Marina Ainciburu, View ORCID ProfileDuncan M. Morgan, View ORCID ProfileErica A. K. DePasquale, View ORCID ProfileJ. Christopher Love, Felipe Prósper, View ORCID ProfilePeter van Galen
doi: https://doi.org/10.1101/2022.01.26.477886
Marina Ainciburu
1Program of Hemato-Oncology, University of Navarra, Pamplona, 31008, Spain
2Division of Hematology, Brigham and Women’s Hospital, Boston, MA, 02115, USA
3Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
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Duncan M. Morgan
4Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
5Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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Erica A. K. DePasquale
2Division of Hematology, Brigham and Women’s Hospital, Boston, MA, 02115, USA
3Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
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J. Christopher Love
3Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
4Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
5Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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Felipe Prósper
1Program of Hemato-Oncology, University of Navarra, Pamplona, 31008, Spain
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Peter van Galen
2Division of Hematology, Brigham and Women’s Hospital, Boston, MA, 02115, USA
3Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
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  • For correspondence: petervangalen@bwh.harvard.edu
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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’-biased 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 (PBMCs) from a healthy donor and detect TCR sequences in a high proportion of single T-cells. Detection of TCR sequences is negligible in non-T-cell populations, demonstrating specificity. Finally, we show that TCR clones are larger in CD8 Memory T-cells than 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 pending).

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted January 28, 2022.
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WAT3R: Recovery of T-Cell Receptor Variable Regions From 3’ Single-Cell RNA-Sequencing
Marina Ainciburu, Duncan M. Morgan, Erica A. K. DePasquale, J. Christopher Love, Felipe Prósper, Peter van Galen
bioRxiv 2022.01.26.477886; doi: https://doi.org/10.1101/2022.01.26.477886
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WAT3R: Recovery of T-Cell Receptor Variable Regions From 3’ Single-Cell RNA-Sequencing
Marina Ainciburu, Duncan M. Morgan, Erica A. K. DePasquale, J. Christopher Love, Felipe Prósper, Peter van Galen
bioRxiv 2022.01.26.477886; doi: https://doi.org/10.1101/2022.01.26.477886

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