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Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes.
Yermanos, Alexander; Agrafiotis, Andreas; Kuhn, Raphael; Robbiani, Damiano; Yates, Josephine; Papadopoulou, Chrysa; Han, Jiami; Sandu, Ioana; Weber, Cédric; Bieberich, Florian; Vazquez-Lombardi, Rodrigo; Dounas, Andreas; Neumeier, Daniel; Oxenius, Annette; Reddy, Sai T.
Afiliação
  • Yermanos A; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Agrafiotis A; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Kuhn R; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Robbiani D; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Yates J; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Papadopoulou C; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Han J; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Sandu I; Institute of Microbiology, ETH Zurich, 8093 Zurich, Switzerland.
  • Weber C; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Bieberich F; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Vazquez-Lombardi R; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Dounas A; Institute for Biomedical Engineering, University and ETH Zurich, 8092 Zurich, Switzerland.
  • Neumeier D; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
  • Oxenius A; Institute of Microbiology, ETH Zurich, 8093 Zurich, Switzerland.
  • Reddy ST; Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
NAR Genom Bioinform ; 3(2): lqab023, 2021 Jun.
Article em En | MEDLINE | ID: mdl-33884369
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article