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Identifying and functionally characterizing tissue-specific and ubiquitously expressed human lncRNAs.
Jiang, Chunjie; Li, Yongsheng; Zhao, Zheng; Lu, Jianping; Chen, Hong; Ding, Na; Wang, Guangjuan; Xu, Juan; Li, Xia.
Afiliación
  • Jiang C; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Li Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Zhao Z; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Lu J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Chen H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Ding N; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Wang G; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Xu J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Li X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Oncotarget ; 7(6): 7120-33, 2016 Feb 09.
Article en En | MEDLINE | ID: mdl-26760768
Recent advances in transcriptome sequencing have made it possible to distinguish ubiquitously expressed long non-coding RNAs (UE lncRNAs) from tissue-specific lncRNAs (TS lncRNAs), thereby providing clues to their cellular functions. Here, we assembled and functionally characterized a consensus lncRNA transcriptome by curating hundreds of RNA-seq datasets across normal human tissues from 16 independent studies. In total, 1,184 UE and 2,583 TS lncRNAs were identified. These different lncRNA populations had several distinct features. Specifically, UE lncRNAs were associated with genomic compaction and highly conserved exons and promoter regions. We found that UE lncRNAs are regulated at the transcriptional level (with especially strong regulation of enhancers) and are associated with epigenetic modifications and post-transcriptional regulation. Based on these observations we propose a novel way to predict the functions of UE and TS lncRNAs through analysis of their genomic location and similarities in epigenetic modifications. Our characterization of UE and TS lncRNAs may provide a foundation for lncRNA genomics and the delineation of complex disease mechanisms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Perfilación de la Expresión Génica / Genómica / Transcriptoma / ARN Largo no Codificante Límite: Humans Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Perfilación de la Expresión Génica / Genómica / Transcriptoma / ARN Largo no Codificante Límite: Humans Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos