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SINC-seq: correlation of transient gene expressions between nucleus and cytoplasm reflects single-cell physiology.
Abdelmoez, Mahmoud N; Iida, Kei; Oguchi, Yusuke; Nishikii, Hidekazu; Yokokawa, Ryuji; Kotera, Hidetoshi; Uemura, Sotaro; Santiago, Juan G; Shintaku, Hirofumi.
Afiliação
  • Abdelmoez MN; Department of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
  • Iida K; Microfluidics RIKEN Hakubi Research Team, RIKEN Cluster for Pioneering Research, Saitama, Japan.
  • Oguchi Y; Medical Research Support Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Nishikii H; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
  • Yokokawa R; Department of Hematology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
  • Kotera H; Department of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
  • Uemura S; Department of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
  • Santiago JG; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
  • Shintaku H; Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Genome Biol ; 19(1): 66, 2018 06 06.
Article em En | MEDLINE | ID: mdl-29871653
ABSTRACT
We report a microfluidic system that physically separates nuclear RNA (nucRNA) and cytoplasmic RNA (cytRNA) from a single cell and enables single-cell integrated nucRNA and cytRNA-sequencing (SINC-seq). SINC-seq constructs two individual RNA-seq libraries, nucRNA and cytRNA, per cell, quantifies gene expression in the subcellular compartments, and combines them to create novel single-cell RNA-seq data. Leveraging SINC-seq, we discover distinct natures of correlation among cytRNA and nucRNA that reflect the transient physiological state of single cells. These data provide unique insights into the regulatory network of messenger RNA from the nucleus toward the cytoplasm at the single-cell level.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Expressão Gênica / Núcleo Celular / Fenômenos Fisiológicos Celulares / Citoplasma Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Expressão Gênica / Núcleo Celular / Fenômenos Fisiológicos Celulares / Citoplasma Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article