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Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes

  • Alexander Yermanos*
  • , Andreas Agrafiotis
  • , Raphael Kuhn
  • , Damiano Robbiani
  • , Josephine Yates
  • , Chrysa Papadopoulou
  • , Jiami Han
  • , Ioana Sandu
  • , Cédric Weber
  • , Florian Bieberich
  • , Rodrigo Vazquez-Lombardi
  • , Andreas Dounas
  • , Daniel Neumeier
  • , Annette Oxenius
  • , Sai T Reddy
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

High-throughput single-cell sequencing (scSeq) technologies are revolutionizing the ability to molecularly profile B and T lymphocytes by offering the opportunity to simultaneously obtain information on adaptive immune receptor repertoires (VDJ repertoires) and transcriptomes. An integrated quantification of immune repertoire parameters, such as germline gene usage, clonal expansion, somatic hypermutation and transcriptional states opens up new possibilities for the high-resolution analysis of lymphocytes and the inference of antigen-specificity. While multiple tools now exist to investigate gene expression profiles from scSeq of transcriptomes, there is a lack of software dedicated to single-cell immune repertoires. Here, we present Platypus, an open-source software platform providing a user-friendly interface to investigate B-cell receptor and T-cell receptor repertoires from scSeq experiments. Platypus provides a framework to automate and ease the analysis of single-cell immune repertoires while also incorporating transcriptional information involving unsupervised clustering, gene expression and gene ontology. To showcase the capabilities of Platypus, we use it to analyze and visualize single-cell immune repertoires and transcriptomes from B and T cells from convalescent COVID-19 patients, revealing unique insight into the repertoire features and transcriptional profiles of clonally expanded lymphocytes. Platypus will expedite progress by facilitating the analysis of single-cell immune repertoire and transcriptome sequencing.

Original languageEnglish
Article numberlqab023
JournalNAR genomics and bioinformatics
Volume3
Issue number2
DOIs
Publication statusPublished - Jun 2021
Externally publishedYes

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