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Reference-based comparison of adaptive immune receptor repertoires.
Weber, Cédric R; Rubio, Teresa; Wang, Longlong; Zhang, Wei; Robert, Philippe A; Akbar, Rahmad; Snapkov, Igor; Wu, Jinghua; Kuijjer, Marieke L; Tarazona, Sonia; Conesa, Ana; Sandve, Geir K; Liu, Xiao; Reddy, Sai T; Greiff, Victor.
Afiliación
  • Weber CR; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
  • Rubio T; Laboratory of Neurobiology, Centro Investigación Príncipe Felipe, Valencia, Spain.
  • Wang L; BGI-Shenzhen, Shenzhen, China.
  • Zhang W; BGI-Education Center, University of Chinese Academy of Sciences, Shenzhen, China.
  • Robert PA; BGI-Shenzhen, Shenzhen, China.
  • Akbar R; Department of Computer Science, City University of Hong Kong, Hong Kong, China.
  • Snapkov I; Department of Immunology and Oslo University Hospital, University of Oslo, Oslo, Norway.
  • Wu J; Department of Immunology and Oslo University Hospital, University of Oslo, Oslo, Norway.
  • Kuijjer ML; Department of Immunology and Oslo University Hospital, University of Oslo, Oslo, Norway.
  • Tarazona S; BGI-Shenzhen, Shenzhen, China.
  • Conesa A; Centre for Molecular Medicine Norway, University of Oslo, Oslo, Norway.
  • Sandve GK; Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
  • Liu X; Leiden Center for Computational Oncology, Leiden University Medical Center, Leiden, the Netherlands.
  • Reddy ST; Departamento de Estadística e Investigación Operativa Aplicadas y Calidad, Universitat Politècnica de València, Valencia, Spain.
  • Greiff V; Institute for Integrative Systems Biology, Spanish National Research Council, Valencia, Spain.
Cell Rep Methods ; 2(8): 100269, 2022 08 22.
Article en En | MEDLINE | ID: mdl-36046619
B and T cell receptor (immune) repertoires can represent an individual's immune history. While current repertoire analysis methods aim to discriminate between health and disease states, they are typically based on only a limited number of parameters. Here, we introduce immuneREF: a quantitative multidimensional measure of adaptive immune repertoire (and transcriptome) similarity that allows interpretation of immune repertoire variation by relying on both repertoire features and cross-referencing of simulated and experimental datasets. To quantify immune repertoire similarity landscapes across health and disease, we applied immuneREF to >2,400 datasets from individuals with varying immune states (healthy, [autoimmune] disease, and infection). We discovered, in contrast to the current paradigm, that blood-derived immune repertoires of healthy and diseased individuals are highly similar for certain immune states, suggesting that repertoire changes to immune perturbations are less pronounced than previously thought. In conclusion, immuneREF enables the population-wide study of adaptive immune response similarity across immune states.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Autoinmunes / Inmunidad Adaptativa Límite: Humans Idioma: En Revista: Cell Rep Methods Año: 2022 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Autoinmunes / Inmunidad Adaptativa Límite: Humans Idioma: En Revista: Cell Rep Methods Año: 2022 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Estados Unidos