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Single-Cell Transcriptomic Analysis.
Zheng, Zhihong; Chen, Enguo; Lu, Weiguo; Mouradian, Gary; Hodges, Matthew; Liang, Mingyu; Liu, Pengyuan; Lu, Yan.
Afiliação
  • Zheng Z; Department of Gynecologic Oncology, Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang,
  • Chen E; Department of Respiratory Medicine, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
  • Lu W; Department of Gynecologic Oncology, Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang Province, Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang,
  • Mouradian G; Department of Physiology, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Hodges M; Department of Physiology, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Liang M; Department of Physiology, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Liu P; Department of Respiratory Medicine, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.
  • Lu Y; Department of Physiology, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Compr Physiol ; 10(2): 767-783, 2020 03 12.
Article em En | MEDLINE | ID: mdl-32163201
ABSTRACT
Single-cell sequencing measures the sequence information from individual cells using optimized single-cell isolation protocols and next-generation sequencing technologies. Recent advancement in single-cell sequencing has transformed biomedical research, providing insights into diverse biological processes such as mammalian development, immune system function, cellular diversity and heterogeneity, and disease pathogenesis. In this article, we introduce and describe popular commercial platforms for single-cell RNA sequencing, general workflow for data analysis, repositories and databases, and applications for these approaches in biomedical research. © 2020 American Physiological Society. Compr Physiol 10767-783, 2020.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Biologia Computacional / Pesquisa Biomédica / Análise de Célula Única / Transcriptoma Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / Biologia Computacional / Pesquisa Biomédica / Análise de Célula Única / Transcriptoma Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article