論文

査読有り 国際誌
2018年6月6日

SINC-seq: correlation of transient gene expressions between nucleus and cytoplasm reflects single-cell physiology.

Genome biology
  • Mahmoud N Abdelmoez
  • ,
  • Kei Iida
  • ,
  • Yusuke Oguchi
  • ,
  • Hidekazu Nishikii
  • ,
  • Ryuji Yokokawa
  • ,
  • Hidetoshi Kotera
  • ,
  • Sotaro Uemura
  • ,
  • Juan G Santiago
  • ,
  • Hirofumi Shintaku

19
1
開始ページ
66
終了ページ
66
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1186/s13059-018-1446-9
出版者・発行元
BIOMED CENTRAL LTD

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.

リンク情報
DOI
https://doi.org/10.1186/s13059-018-1446-9
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/29871653
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989370
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000434946400001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1186/s13059-018-1446-9
  • ISSN : 1474-760X
  • PubMed ID : 29871653
  • PubMed Central 記事ID : PMC5989370
  • Web of Science ID : WOS:000434946400001

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