Integrative Transcriptome Analyses of Metabolic Responses in Mice Define Pivotal LncRNA Metabolic Regulators

Ling Yang, Ping Li, Wenjing Yang, Xiangbo Ruan, Kurtis Kiesewetter, Jun Zhu, Haiming Cao

Research output: Contribution to journalArticlepeer-review

72 Scopus citations

Abstract

To systemically identify long noncoding RNAs (lncRNAs) regulating energy metabolism, we performed transcriptome analyses to simultaneously profile mRNAs and lncRNAs in key metabolic organs in mice under pathophysiologically representative metabolic conditions. Of 4,759 regulated lncRNAs, function-oriented filters yield 359 tissue-specifically regulated and metabolically sensitive lncRNAs that are predicted by lncRNA-mRNA correlation analyses to function in diverse aspects of energy metabolism. Specific regulations of liver metabolically sensitive lncRNAs (lncLMS) by nutrients, metabolic hormones, and key transcription factors were further defined in primary hepatocytes. Combining genome-wide screens, bioinformatics function predictions, and cell-based analyses, we developed an integrative roadmap to identify lncRNA metabolic regulators. An lncLMS was experimentally confirmed in mice to suppress lipogenesis by forming a negative feedback loop in the SREBP1c pathway. Taken together, this study supports that a class of lncRNAs function as important metabolic regulators and establishes a framework for systemically investigating the role of lncRNAs in physiological homeostasis.

Original languageEnglish
Pages (from-to)627-639
Number of pages13
JournalCell Metabolism
Volume24
Issue number4
DOIs
StatePublished - 11 Oct 2016
Externally publishedYes

Keywords

  • diabetes
  • energy metabolism
  • glucose
  • insulin
  • lincRNA
  • lipid
  • lncRNA
  • long non-coding RNA
  • metabolic disease
  • obesity

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