Identification of co-expression network correlated with different periods of adipogenic and osteogenic differentiation of BMSCs by weighted gene co-expression network analysis (WGCNA)

被引:16
|
作者
Liu, Yu [1 ]
Tingart, Markus [1 ]
Lecouturier, Sophie [1 ]
Li, Jianzhang [1 ]
Eschweiler, Joerg [1 ]
机构
[1] RWTH Aachen Univ Clin, Dept Orthopaed Surg, Pauwelsstr 30, D-52074 Aachen, Germany
关键词
Bioinformatics; BMSCs; WGCNA; Osteogenic differentiation; Adipogenic differentiation;
D O I
10.1186/s12864-021-07584-4
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background The differentiation of bone marrow mesenchymal stem cells is a complex and dynamic process. The gene expression pattern and mechanism of different periods of adipogenic and osteogenic differentiation remain unclear. Additionally, the interaction between these two lineage determination requires further exploration. Results Five modules that were most significantly associated with osteogenic or adipogenic differentiation of BMSCs were selected for further investigation. Biological terms (e.g. ribosome biogenesis, TNF-alpha signalling pathway, glucose import and fatty acid metabolism) along with hub transcription factors (e.g. PPARG and YY1) and hub miRNAs (e.g. hsa-mir-26b-5p) were enriched in different modules. The expression pattern of 6 hub genes, ADIPOQ, FABP4, SLC7A5, SELPLG, BIRC3, and KLHL30 was validated by RT-qPCR. Finally, cell staining experiments extended the findings of bioinformatics analysis. Conclusion This study identified the key genes, biological functions, and regulators of each time point of adipogenic and osteogenic differentiation of BMSCs and provided novel evidence and ideas for further research on the differentiation of BMSCs.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis
    Gu, Yang
    Li, Jun
    Guo, Deliang
    Chen, Baiyang
    Liu, Pengpeng
    Xiao, Yusha
    Yang, Kang
    Liu, Zhisu
    Liu, Quanyan
    FRONTIERS IN GENETICS, 2020, 11
  • [32] Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis
    Li, Chunyang
    Yu, Haopeng
    Sun, Yajing
    Zeng, Xiaoxi
    Zhang, Wei
    PEERJ, 2021, 9
  • [33] Identification of Key Genes and Pathways associated with Endometriosis by Weighted Gene Co-expression Network Analysis
    Wu, Jingni
    Fang, Xiaoling
    Xia, Xiaomeng
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2021, 18 (15): : 3425 - 3436
  • [34] Identification of Prognostic Genes in Leiomyosarcoma by Gene Co-Expression Network Analysis
    Yang, Jun
    Li, Cuili
    Zhou, Jiaying
    Liu, Xiaoquan
    Wang, Shaohua
    FRONTIERS IN GENETICS, 2020, 10
  • [35] Identification of modules in Aspergillus niger by gene co-expression network analysis
    van den Berg, Robert A.
    Braaksma, Machtelt
    van der Veen, Douwe
    van der Werf, Mariet J.
    Punt, Peter J.
    van der Oost, John
    de Graaff, Leo H.
    FUNGAL GENETICS AND BIOLOGY, 2010, 47 (06) : 539 - 550
  • [36] Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA)
    Zhang, Tianjiao
    Wong, Garry
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2022, 20 : 3851 - 3863
  • [37] Identification of prognostic biomarkers for papillary thyroid carcinoma by a weighted gene co-expression network analysis
    Meng, Kexin
    Hu, Xiaotian
    Zheng, Guowan
    Qian, Chenhong
    Xin, Ying
    Guo, Haiwei
    He, Ru
    Ge, Minghua
    Xu, Jiajie
    CANCER MEDICINE, 2022, 11 (09): : 2006 - 2019
  • [38] Identification of pancreatic cancer type related factors by Weighted Gene Co-Expression Network Analysis
    Wang, Wei
    Xing, Haibo
    Huang, Changxin
    Pan, Hong
    Li, Da
    MEDICAL ONCOLOGY, 2020, 37 (04)
  • [39] Identification of novel key lncRNAs involved in periodontitis by weighted gene co-expression network analysis
    Jin, Su-Han
    Zhou, Rui-Hao
    Guan, Xiao-Yan
    Zhou, Jian-Guo
    Liu, Jian-Guo
    JOURNAL OF PERIODONTAL RESEARCH, 2020, 55 (01) : 96 - 106
  • [40] Identification of biomarkers of chromophobe renal cell carcinoma by weighted gene co-expression network analysis
    Xiaomao Yin
    Jianfeng Wang
    Jin Zhang
    Cancer Cell International, 18