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Single-cell RNA sequencing in cardiovascular development, disease and medicine.
Paik, David T; Cho, Sangkyun; Tian, Lei; Chang, Howard Y; Wu, Joseph C.
Afiliação
  • Paik DT; Stanford Cardiovascular Institute, Stanford, CA, USA. dtpaik@stanford.edu.
  • Cho S; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA. dtpaik@stanford.edu.
  • Tian L; Stanford Cardiovascular Institute, Stanford, CA, USA.
  • Chang HY; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Wu JC; Stanford Cardiovascular Institute, Stanford, CA, USA.
Nat Rev Cardiol ; 17(8): 457-473, 2020 08.
Article em En | MEDLINE | ID: mdl-32231331
ABSTRACT
Advances in single-cell RNA sequencing (scRNA-seq) technologies in the past 10 years have had a transformative effect on biomedical research, enabling the profiling and analysis of the transcriptomes of single cells at unprecedented resolution and throughput. Specifically, scRNA-seq has facilitated the identification of novel or rare cell types, the analysis of single-cell trajectory construction and stem or progenitor cell differentiation, and the comparison of healthy and disease-related tissues at single-cell resolution. These applications have been critical in advances in cardiovascular research in the past decade as evidenced by the generation of cell atlases of mammalian heart and blood vessels and the elucidation of mechanisms involved in cardiovascular development and stem or progenitor cell differentiation. In this Review, we summarize the currently available scRNA-seq technologies and analytical tools and discuss the latest findings using scRNA-seq that have substantially improved our knowledge on the development of the cardiovascular system and the mechanisms underlying cardiovascular diseases. Furthermore, we examine emerging strategies that integrate multimodal single-cell platforms, focusing on future applications in cardiovascular precision medicine that use single-cell omics approaches to characterize cell-specific responses to drugs or environmental stimuli and to develop effective patient-specific therapeutics.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Análise de Sequência de RNA / Perfilação da Expressão Gênica / Análise de Célula Única Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Análise de Sequência de RNA / Perfilação da Expressão Gênica / Análise de Célula Única Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article