Molecular and biochemical characterization on the artificial hibernation

Title
Molecular and biochemical characterization on the artificial hibernation
Author(s)
강미혜; 정길아; 김성; 김완수; 이윤호
KIOST Author(s)
Kim, Sung(김성)Lee, Youn Ho(이윤호)
Alternative Author(s)
강미혜; 정길아; 김성; 이윤호
Publication Year
2012-11-19
Abstract
The aim of this study was to understand the molecular and physiological changes in an artificially hibernated olive flounder, Paralichthys olivaceus. At first, biochemical properties of artificially hibernated organism were examined through blood analysis. Serum glucose and triglyceride were significantly increased (p < 0.05) during hibernation, while alkaline phosphate (ALP) and glutamic-pyruvic transminase (GPT) had no significant change (p > 0.05). Then the genes associated with the artificial hibernation were investigated with the brain tissue using RNA-seq technology. Change of the expressed genes was examined with DEGseq R package, and gene ontology (GO) functional enrichment analysis. A total of 915 differentially expressed genes including 468 up-regulated and 447 down-regulated genes (p < 0.001) were identified. The GO of the differentially expressed genes (DEGs) revealed 45 significantly enriched GO terms indicating up and down regulation of genes, most of which were associated with protein binding, transcription factor activity, transcription factor complex, and sequence-specific DNA binding. Several genes such as intestinal fatty acid binding protein (IF), period 4, and somatolactin (SL) showed significant change in the expression level. For IF and SL, the change of expression level was quantitatively confirmed by the real time PCR.ough blood analysis. Serum glucose and triglyceride were significantly increased (p < 0.05) during hibernation, while alkaline phosphate (ALP) and glutamic-pyruvic transminase (GPT) had no significant change (p > 0.05). Then the genes associated with the artificial hibernation were investigated with the brain tissue using RNA-seq technology. Change of the expressed genes was examined with DEGseq R package, and gene ontology (GO) functional enrichment analysis. A total of 915 differentially expressed genes including 468 up-regulated and 447 down-regulated genes (p < 0.001) were identified.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/41048
Bibliographic Citation
translational bioinformatics & genomics, pp.71, 2012
Publisher
korean
Type
Conference
Language
English
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