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Investigating transcriptional states at single-cell-resolution.
Tischler, Julia; Surani, M Azim.
Afiliação
  • Tischler J; The Wellcome Trust/Cancer Research UK Gurdon Institute, The Henry Wellcome Building of Cancer and Developmental Biology, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Curr Opin Biotechnol ; 24(1): 69-78, 2013 Feb.
Article em En | MEDLINE | ID: mdl-23084076
ABSTRACT
Gene expression analysis at single-cell-resolution is a powerful tool for uncovering individual cell differences within heterogeneous cell populations and complex tissues, which can provide invaluable insights into the extent of gene expression variability. Multi-dimensional information of gene expression at the level of the individual cell can help to identify distinct and rare molecular cell 'states' within populations and aid in unravelling genetic regulatory circuits. Gene expression analysis at the single-cell-level will also enhance our understanding of the molecular basis of aberrant cell states and disease development and holds great promise for the advancement of personalized medicine. We present approaches that provide large-scale views of gene expression at the level of the individual cell.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcrição Gênica / Perfilação da Expressão Gênica / Análise de Célula Única Limite: Animals / Humans Idioma: En Revista: Curr Opin Biotechnol Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcrição Gênica / Perfilação da Expressão Gênica / Análise de Célula Única Limite: Animals / Humans Idioma: En Revista: Curr Opin Biotechnol Ano de publicação: 2013 Tipo de documento: Article