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Effect of ELOVL6 on the lipid metabolism of bovine adipocytes
- Source :
- Genomics. 112:2282-2290
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- This study investigated the effect of ELOVL6 (elongation of very long chain fatty acids protein 6) and its underlying mechanism on lipid metabolism in bovine adipocytes. The ELOVL6 gene was overexpressed in bovine adipocytes by adenoviruses, and RNA sequencing was performed. Overexpression of ELOVL6 showed reduced proportions of C14:0 (Myristic) and C16:0 (palmitate) fatty acids and increased proportions of C18.0 (stearate) and C20:4n6 (arachidonic) fatty acids in adipocytes. In addition, a total of 2170 differentially expressed genes (DEGs) were found, containing 1802 up-regulated and 368 down-regulated genes. KEGG pathway analysis revealed that the down-regulated genes were linked with the regulation of lipolysis and the Wnt signaling pathway. The up-regulated genes were mainly involved in the FoxO signaling pathway; the PI3K-Akt signaling pathway; and the cAMP signaling pathway. In conclusion, our results suggest that ELOVL6 could affect the fatty acid composition in bovine adipocytes. We identified numerous related DEGs and pathways, which may provide a basis for studying the function and molecular mechanism of the ELOVL6 gene in regulating lipid metabolism.
- Subjects :
- 0106 biological sciences
Fatty Acid Elongases
Lipolysis
Gene Expression
Biology
01 natural sciences
03 medical and health sciences
Sequence Analysis, Protein
Adipocytes
Genetics
Animals
Gene
Cells, Cultured
Phylogeny
030304 developmental biology
chemistry.chemical_classification
0303 health sciences
Fatty Acids
Wnt signaling pathway
High-Throughput Nucleotide Sequencing
Fatty acid
RNA
Lipid metabolism
Lipid Metabolism
Biochemistry
chemistry
Cattle
lipids (amino acids, peptides, and proteins)
Signal transduction
Sequence Alignment
Function (biology)
010606 plant biology & botany
Subjects
Details
- ISSN :
- 08887543
- Volume :
- 112
- Database :
- OpenAIRE
- Journal :
- Genomics
- Accession number :
- edsair.doi.dedup.....b30d07a5877f28c6486289b96f255990
- Full Text :
- https://doi.org/10.1016/j.ygeno.2019.12.024