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Construction of Adipogenic ceRNA Network Based on lncRNA Expression Profile of Adipogenic Differentiation of Human MSC Cells.
Liang, Chengcheng; Raza, Sayed Haidar Abbas; Naqvi, Muhammad Abuzar Raza; Feng, Yanrong; Khan, Rajwali; Mohammedsaleh, Zuhair M; Shater, Abdullah F; Al-Ahmadi, Bassam M; Saleh, Fayez M; Bilal, Muhammad Ahsan; Zan, Linsen.
Afiliação
  • Liang C; College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
  • Raza SHA; College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
  • Naqvi MAR; Faculty of Health & Medical Science, Hamdard University, Karachi, 75270, Pakistan.
  • Feng Y; College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
  • Khan R; Department of Livestock Management, Breeding and Genetics, The University of Agriculture Peshawar, Peshawar, Pakistan.
  • Mohammedsaleh ZM; Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, 71491, Kingdom of Saudi Arabia.
  • Shater AF; Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Kingdom of Saudi Arabia.
  • Al-Ahmadi BM; Biology department, Faculty of Science, Taibah University, Medina, Kingdom of Saudi Arabia.
  • Saleh FM; Department of Medical Microbiology, Faculty of Medicine, University of Tabuk, Tabuk, 71491, Kingdom of Saudi Arabia.
  • Bilal MA; Department of Dermatology, Hospital, Xian Jiaotong University, 157 Xiwu Road, Xi'an, 710004, Shaanxi Province, China.
  • Zan L; College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China. zanlinsen@163.com.
Biochem Genet ; 60(2): 543-557, 2022 Apr.
Article em En | MEDLINE | ID: mdl-34302581
The Long non-coding RNA (lncRNA) expression profile data of ten samples including human Mesenchymal Stem Cell (MSC) adipogenic differentiation 0, 3, and 6 days from the GEO database, and then perform gene ID conversion, BLAST comparison, and annotation marking. Finally, group A (treatment group on day 3 of differentiation and control group on day 0 of differentiation) obtained a total of 1180 mRNA and 185 lncRNA; group B (treatment group on day 6 of differentiation and control group on day 0 of differentiation). A total of 1376 mRNA and 206 lncRNA were obtained. Finally, we processed the differential lncRNAs and mRNAs obtained in the two groups, and obtained 113 shared differential lncRNAs to further predict the targeted miRNA, a total of 815 lncRNA-miRNA pairs. The targeted mRNA was further predicted, and the grouped differential mRNAs were combined to obtain 64 differential mRNAs. In the end, we obtained 216 ceRNAs containing 26 lncRNAs, 27 miRNAs and 64 mRNAs. We found that the mRNAs in the ceRNA network were mainly enriched with 45 Gene Ontology (GO) terms, mainly including glucose homeostasis mechanism and insulin stimulation response. 69 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were mainly enriched. It mainly includes many pathways related to lipid metabolism such as Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK), Rap1, cAMP, mitogen-activated protein kinase (MAPK), Ras, hypoxia inducible factor-1 (HIF-1), PI3K-Akt, insulin signaling and so on. In the end, we identified 216 ceRNA regulatory relationships related to obesity research. Our research provides a clearer direction for understanding the molecular mechanism of obesity, the screening and determination of drug targets biomarkers in the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Adipogenia / Células-Tronco Mesenquimais / RNA Longo não Codificante Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Adipogenia / Células-Tronco Mesenquimais / RNA Longo não Codificante Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article