論文

国際誌
2015年3月

The landscape of long noncoding RNAs in the human transcriptome.

Nature genetics
  • Matthew K Iyer
  • Yashar S Niknafs
  • Rohit Malik
  • Udit Singhal
  • Anirban Sahu
  • Yasuyuki Hosono
  • Terrence R Barrette
  • John R Prensner
  • Joseph R Evans
  • Shuang Zhao
  • Anton Poliakov
  • Xuhong Cao
  • Saravana M Dhanasekaran
  • Yi-Mi Wu
  • Dan R Robinson
  • David G Beer
  • Felix Y Feng
  • Hariharan K Iyer
  • Arul M Chinnaiyan
  • 全て表示

47
3
開始ページ
199
終了ページ
208
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/ng.3192

Long noncoding RNAs (lncRNAs) are emerging as important regulators of tissue physiology and disease processes including cancer. To delineate genome-wide lncRNA expression, we curated 7,256 RNA sequencing (RNA-seq) libraries from tumors, normal tissues and cell lines comprising over 43 Tb of sequence from 25 independent studies. We applied ab initio assembly methodology to this data set, yielding a consensus human transcriptome of 91,013 expressed genes. Over 68% (58,648) of genes were classified as lncRNAs, of which 79% were previously unannotated. About 1% (597) of the lncRNAs harbored ultraconserved elements, and 7% (3,900) overlapped disease-associated SNPs. To prioritize lineage-specific, disease-associated lncRNA expression, we employed non-parametric differential expression testing and nominated 7,942 lineage- or cancer-associated lncRNA genes. The lncRNA landscape characterized here may shed light on normal biology and cancer pathogenesis and may be valuable for future biomarker development.

リンク情報
DOI
https://doi.org/10.1038/ng.3192
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25599403
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4417758
ID情報
  • DOI : 10.1038/ng.3192
  • PubMed ID : 25599403
  • PubMed Central 記事ID : PMC4417758

エクスポート
BibTeX RIS