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Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes
Alexander Yermanos1, Andreas Agrafiotis1, Raphael Kuhn1
1Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
NAR Genomics and Bioinformatics
|April 22, 2021
Summary
Platypus is a new open-source software for analyzing single-cell immune repertoires and transcriptomes. This tool aids researchers in understanding B and T cell responses, particularly in COVID-19 patients, by integrating immune receptor and gene expression data.
Area of Science:
- Immunology
- Bioinformatics
- Computational Biology
Background:
- High-throughput single-cell sequencing (scSeq) enables simultaneous profiling of adaptive immune receptor repertoires (VDJ repertoires) and transcriptomes in B and T lymphocytes.
- Existing tools primarily focus on gene expression, lacking dedicated software for single-cell immune repertoire analysis.
- Integrated analysis of immune repertoire parameters (germline gene usage, clonal expansion, somatic hypermutation) and transcriptional states is crucial for high-resolution lymphocyte analysis and antigen-specificity inference.
Purpose of the Study:
- To introduce Platypus, an open-source software platform designed for user-friendly investigation of B-cell receptor (BCR) and T-cell receptor (TCR) repertoires from scSeq experiments.
- To provide a framework for automating and simplifying single-cell immune repertoire analysis, incorporating transcriptional data.
- To demonstrate Platypus's capabilities in analyzing and visualizing single-cell immune repertoire and transcriptome data.
Main Methods:
- Development of Platypus, an open-source software platform with a user-friendly interface.
- Integration of BCR and TCR repertoire analysis with transcriptional information, including unsupervised clustering, gene expression, and gene ontology.
- Application of Platypus to analyze scSeq data from B and T cells of convalescent COVID-19 patients.
Main Results:
- Platypus facilitates the automated and integrated analysis of single-cell immune repertoires and transcriptomes.
- Analysis of COVID-19 patient data using Platypus revealed unique insights into repertoire features and transcriptional profiles of clonally expanded lymphocytes.
- The software enables visualization of complex single-cell immune repertoire and transcriptome data.
Conclusions:
- Platypus addresses the need for dedicated software in single-cell immune repertoire analysis.
- The platform expedites progress in understanding lymphocyte populations by integrating repertoire and transcriptional data.
- Platypus enhances the high-resolution analysis of lymphocytes and the inference of antigen-specificity from scSeq data.

