Detection of transcriptome in hyperlipidemia and metabolic/inflammatory pathways in Mongolian gerbils
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Objective To understand some key genes and metabolic/inflammatory pathways triggered by high fat/high cholesterol (HF/HC) diet-induced hyperlipidemia in Mongolian gerbil. Methods Sixty 90-day-old Mongolian gerbils (including both sexes) were used in this study. The gerbils were divided into normal group (n=30, control diets) and model group (n=30, Hf/HC diets). Hyperlipidemia was induced for 4 weeks. To extract mRNA for transcriptome by RNA-Seq deep sequencing and bioinformatics. Results The results showed that 47 522 de novo gerbil genes (≥100 bp unigene) were obtained, with a total of 26.9 Mb, and about 82.53% sequence was homologous with the exon in the common genome bases. There were 21 125 differential genes between the hyperlipidemia gerbil and normal gerbil groups, including 16 087 down-regulated and 5038 up-regulated genes. There was a significant trend of downregulation compared with the normal group (P<0.01). There were eight pathways significantly related to the metabolic inflammation in hyperlipidemia (P<0.01), and among the expressed genes of these pathways, 15 immune-and inflammation-related genes were significantly down-regulated (P<0.01). Conclusions RNA-Seq and bioinformatics techniques can be used as a powerful tool for overall gene-transcription in hyperlipidemic gerbil models. Some key genes and pathways screened in this study may become candidate genes or operating targets in the future research.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:February 19,2014
  • Adopted:
  • Online: May 06,2014
  • Published: