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Single-cell RNA-seq: advances and future challenges.
Saliba, Antoine-Emmanuel; Westermann, Alexander J; Gorski, Stanislaw A; Vogel, Jörg.
Afiliação
  • Saliba AE; Institute for Molecular Infection Biology, University of Würzburg, Josef-Schneider-Straße 2, D-97080 Würzburg, Germany.
  • Westermann AJ; Institute for Molecular Infection Biology, University of Würzburg, Josef-Schneider-Straße 2, D-97080 Würzburg, Germany.
  • Gorski SA; Institute for Molecular Infection Biology, University of Würzburg, Josef-Schneider-Straße 2, D-97080 Würzburg, Germany.
  • Vogel J; Institute for Molecular Infection Biology, University of Würzburg, Josef-Schneider-Straße 2, D-97080 Würzburg, Germany joerg.vogel@uni-wuerzburg.de.
Nucleic Acids Res ; 42(14): 8845-60, 2014 Aug.
Article em En | MEDLINE | ID: mdl-25053837
Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Single-cell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a powerful tool to profile cell-to-cell variability on a genomic scale. Its application has already greatly impacted our conceptual understanding of diverse biological processes with broad implications for both basic and clinical research. Different single-cell RNA-seq protocols have been introduced and are reviewed here-each one with its own strengths and current limitations. We further provide an overview of the biological questions single-cell RNA-seq has been used to address, the major findings obtained from such studies, and current challenges and expected future developments in this booming field.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Perfilação da Expressão Gênica / Análise de Célula Única / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Guideline Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Perfilação da Expressão Gênica / Análise de Célula Única / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Guideline Idioma: En Ano de publicação: 2014 Tipo de documento: Article