WAT3R
WAT3R processes and analyzes T-cell receptor (TCR) variable regions enriched from 3'-based single-cell RNA sequencing (scRNA-seq) data to reconstruct TRA and TRB clonotypes and link nucleotide and amino-acid sequences to cell barcodes for repertoire and differentiation-state analysis.
Key Features:
- TCR Variable Region Enrichment: Processes cDNA from 3' scRNA-seq to capture and analyze TCR α and β chain variable regions encoded by TRA and TRB genes.
- Clonotype Reconstruction: Links nucleotide and amino-acid sequences of TCRs to cell barcodes to reconstruct T-cell clonotypes alongside associated transcriptomes.
- Specificity and Sensitivity: Detects TCR sequences predominantly in single T cells with low detection rates in non-T-cell populations.
- Clonal Analysis: Enables analysis of TCR clone sizes and associations between clonotypes and differentiation states, for example larger clones in CD8 Memory T cells.
Scientific Applications:
- Adaptive immunity profiling: Characterizes T-cell repertoire diversity and composition from 3' scRNA-seq data to study antigen-specific immune responses.
- Clonotype–state association: Correlates TCR clonotypes with immune cell differentiation states and transcriptional phenotypes.
- Immunotherapy research: Provides repertoire-level information relevant to assessing clonal expansion and potential therapeutic targets.
Methodology:
Processes 3' scRNA-seq cDNA to extract and analyze TRA/TRB variable-region sequences, links sequences to cells via barcodes, and reconstructs clonotypes for repertoire and differentiation-state analysis.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, Python
- Added:
- 7/6/2022
- Last Updated:
- 7/6/2022
Operations
Data Inputs & Outputs
Demultiplexing
Publications
Ainciburu M, Morgan DM, DePasquale EAK, Love JC, Prósper F, van Galen P. WAT3R: recovery of T-cell receptor variable regions from 3′ single-cell RNA-sequencing. Bioinformatics. 2022;38(14):3645-3647. doi:10.1093/bioinformatics/btac382. PMID:35674381. PMCID:PMC9272805.
Downloads
- Container filehttps://hub.docker.com/r/mainciburu/wat3r