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Single-cell transcriptomics to explore the immune system in health and disease.
Stubbington, Michael J T; Rozenblatt-Rosen, Orit; Regev, Aviv; Teichmann, Sarah A.
Afiliación
  • Stubbington MJT; Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
  • Rozenblatt-Rosen O; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Regev A; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. aregev@broadinstitute.org st9@sanger.ac.uk.
  • Teichmann SA; Howard Hughes Medical Institute, Koch Institute for Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Science ; 358(6359): 58-63, 2017 10 06.
Article en En | MEDLINE | ID: mdl-28983043
The immune system varies in cell types, states, and locations. The complex networks, interactions, and responses of immune cells produce diverse cellular ecosystems composed of multiple cell types, accompanied by genetic diversity in antigen receptors. Within this ecosystem, innate and adaptive immune cells maintain and protect tissue function, integrity, and homeostasis upon changes in functional demands and diverse insults. Characterizing this inherent complexity requires studies at single-cell resolution. Recent advances such as massively parallel single-cell RNA sequencing and sophisticated computational methods are catalyzing a revolution in our understanding of immunology. Here we provide an overview of the state of single-cell genomics methods and an outlook on the use of single-cell techniques to decipher the adaptive and innate components of immunity.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genómica / Análisis de la Célula Individual / Transcriptoma / Sistema Inmunológico Límite: Animals / Humans Idioma: En Revista: Science Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genómica / Análisis de la Célula Individual / Transcriptoma / Sistema Inmunológico Límite: Animals / Humans Idioma: En Revista: Science Año: 2017 Tipo del documento: Article
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