Microarray Profiling and Coexpression Network Analysis of Long Noncoding RNAs in Adipose Tissue of Obesity-T2DM Mouse
| Autor: | Aynur Ismayil, Liu Chang, Pei-Gen Ren, Peng Fang, Jun Meng, Zhenyu Yao, Yutao Sun, Bin Teng, Yu Xiangfang, Jian Zhang, Goher Kerem |
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| Rok vydání: | 2019 |
| Předmět: |
Male
Endocrinology Diabetes and Metabolism Medicine (miscellaneous) Adipose tissue 030209 endocrinology & metabolism Computational biology Biology Diet High-Fat Real-Time Polymerase Chain Reaction Transcriptome 03 medical and health sciences Mice 0302 clinical medicine Endocrinology Animals Gene Regulatory Networks 030212 general & internal medicine Obesity KEGG Nutrition and Dietetics Microarray analysis techniques Gene Expression Profiling nutritional and metabolic diseases Microarray Analysis Gene expression profiling Mice Inbred C57BL Real-time polymerase chain reaction Adipose Tissue Diabetes Mellitus Type 2 Gene chip analysis RNA Long Noncoding DNA microarray |
| Zdroj: | Obesity (Silver Spring, Md.)References. 27(10) |
| ISSN: | 1930-739X |
| Popis: | Objective The aim of this study was to understand more about long noncoding RNAs (lncRNAs) as potential prediction biomarkers or therapeutic targets for obesity and type 2 diabetes mellitus (T2DM). This study aimed to find more lncRNA candidates related to obesity and T2DM. Methods In this study, a high-fat diet (HFD)-induced obesity-T2DM mouse model was used, and a mRNA and lncRNA expression map was drawn up in adipose tissue by microarray technology. Then Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed and revealed that the most associated genes and pathways were metabolism-related ones. The candidate lncRNA expression was further validated in adipose tissue from HFD-induced mice by quantitative real-time polymerase chain reaction analysis. Results Transcriptome analyses were performed to show expression profiles of mRNAs and lncRNAs in epididymal adipose tissue in the obesity-T2DM mice. A total of 124 lncRNAs and 1,606 mRNAs were differentially expressed between the chow and HFD groups. Then, an mRNA-lncRNA coexpression network was constructed. Based on a series of analyses, 15 candidate lncRNAs were screened, and their expression was further validated by quantitative real-time polymerase chain reaction analysis. Conclusions The results reveal significant differences between the transcriptomes of the HFD and control groups in adipose tissue that provide clues to the molecular mechanisms of diet-induced metabolic disorders as well as biomarkers of risk for these disorders. |
| Databáze: | OpenAIRE |
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