Effect of ELOVL6 on the Lipid Metabolism of Bovine Adipocytes

Published: 25-12-2019| Version 1 | DOI: 10.17632/dd4w2c28yn.1
Zainaguli Junjvlieke,
rajwali khan,
Chugang Mei,
Linsen Zan


1. Construction of RNA-Seq library, quality control and sequencing After 6 days of differentiation, the adipocytes total RNA was extracted (OE-ELOVL6 and OE-NC; n=6), The mRNA was enriched by oligo (dT) beads, and was fragmented into short fragments through fragmentation buffer, then reverse transcribed into cDNA using random primers. The second strand cDNA was generated by DNA polymerase 1, dNTP, buffer, and RNase H. The cDNA fragments were purified through QiaQuick PCR extraction kit, then end repaired. Poly (A) was added, and then then ligated to Illumina sequencing adapters. Ligation products were size selected by agarose gel electrophoresis, PCR amplification, and then sequenced using Illumina HiSeq2500 by Gene Denovo Biotechnology Co. (Guangzhou, China). 3. DEG identification The edgeR package (http://www.r-project.org/) was used for the identification of DEGs within samples. Significant DEGs were compared with a fold change of ≥ ±1.5 and a false discovery rate < 0.05. The DEGs were subjected to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and enrichment analysis of Gene Ontology (GO). 3. Functional Enrichment Analysis We used online DAVID (visualization and integration discovery) software (https://david.ncifcrf.gov/) for functional annotation DEGs of the Gene Ontology (GO)[Biological Process (BP), Cellular Component (CC), and Molecular Function (MF)] term enrichment analysis [29]. Additionally, KEGG Orthology based annotation system (KOBAS) software version 3.0 China (http://kobas.cbi.pku.edu.cn/) was used for KEGG pathway enrichment analysis. A P-value < 0.05 was considered as significant enrichment.