論文

査読有り 国際誌
2017年11月

Monitoring transcription initiation activities in rat and dog

SCIENTIFIC DATA
  • Marina Lizio
  • Abdul Kadir Mukarram
  • Mizuho Ohno
  • Shoko Watanabe
  • Masayoshi Itoh
  • Akira Hasegawa
  • Timo Lassmann
  • Jessica Severin
  • Jayson Harshbarger
  • Imad Abugessaisa
  • Takeya Kasukawa
  • Chung Chau Hon
  • Piero Carninci
  • Yoshihide Hayashizaki
  • Alistair R. R. Forrest
  • Hideya Kawaji
  • 全て表示

4
開始ページ
170173
終了ページ
170173
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/sdata.2017.173
出版者・発行元
NATURE PUBLISHING GROUP

The promoter landscape of several non-human model organisms is far from complete. As a part of FANTOM5 data collection, we generated 13 profiles of transcription initiation activities in dog and rat aortic smooth muscle cells, mesenchymal stem cells and hepatocytes by employing CAGE (Cap Analysis of Gene Expression) technology combined with single molecule sequencing. Our analyses show that the CAGE profiles recapitulate known transcription start sites (TSSs) consistently, in addition to uncover novel TSSs. Our dataset can be thus used with high confidence to support gene annotation in dog and rat species. We identified 28,497 and 23,147 CAGE peaks, or promoter regions, for rat and dog respectively, and associated them to known genes. This approach could be seen as a standard method for improvement of existing gene models, as well as discovery of novel genes. Given that the FANTOM5 data collection includes dog and rat matched cell types in human and mouse as well, this data would also be useful for cross-species studies.

リンク情報
DOI
https://doi.org/10.1038/sdata.2017.173
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/29182598
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5704677
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000416400900001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1038/sdata.2017.173
  • ISSN : 2052-4463
  • PubMed ID : 29182598
  • PubMed Central 記事ID : PMC5704677
  • Web of Science ID : WOS:000416400900001

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