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Co-expression in Single-Cell Analysis: Saving Grace or Original Sin?
Crow, Megan; Gillis, Jesse.
Afiliação
  • Crow M; Cold Spring Harbor Laboratory, One Bungtown Road, Cold Spring Harbor, NY 11724, USA.
  • Gillis J; Cold Spring Harbor Laboratory, One Bungtown Road, Cold Spring Harbor, NY 11724, USA. Electronic address: jgillis@cshl.edu.
Trends Genet ; 34(11): 823-831, 2018 11.
Article em En | MEDLINE | ID: mdl-30146183
ABSTRACT
As a fundamental unit of life, the cell has rightfully been the subject of intense investigation throughout the history of biology. Technical innovations now make it possible to assay cellular features at genomic scale, yielding breakthroughs in our understanding of the molecular organization of tissues, and even whole organisms. As these data accumulate we will soon be faced with a new challenge making sense of the plethora of results. Early investigations into the replicability of cell type profiles inferred from single-cell RNA sequencing data have indicated that this is likely to be surprisingly straightforward due to consistent gene co-expression. In this opinion article we discuss the evidence for this claim and its implications for interpreting cell type-specific gene expression.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma / Análise de Sequência de RNA / Análise de Célula Única / Transcriptoma Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma / Análise de Sequência de RNA / Análise de Célula Única / Transcriptoma Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article