ArticleBMC genomics2021
Identification of co-expression network correlated with different periods of adipogenic and osteogenic differentiation of BMSCs by weighted gene co-expression network analysis (WGCNA).
Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Comparative transcriptome analysis of genes related to tuberization in late and early maturing potato (Solanum tuberosum) cultivars.Scientific reports · 2025Article
- Identification of modules and key genes associated with breast cancer subtypes through network analysis.Scientific reports · 2024Article
- Amino acid-based supramolecular chiral hydrogels promote osteogenesis of human dental pulp stem cells via the MAPK pathway.Materials today. Bio · 2024Article
- Machine Learning and Experimental Validation Identified Ferroptosis Signature and Innovative Biomarkers (ESR1 and GSTZ1) in Liver Fibrosis.Journal of inflammation research · 2024Article
- Article
- Identification and Validation of Hub Genes and Construction of miRNA-Gene and Transcription Factor-Gene Networks in Adipogenesis of Mesenchymal Stem Cells.Stem cells international · 2024Article
- Liver X Receptor-Inducible Host E3 Ligase IDOL Targets a Human Cytomegalovirus Reactivation Determinant.Journal of virology · 2023Article
- Identification of molecular subtypes of ischaemic stroke based on immune-related genes and weighted co-expression network analysis.IET systems biology · 2023Article
- Identification of crucial modules and genes associated with backfat tissue development by WGCNA in Ningxiang pigs.Frontiers in genetics · 2023Article
- Combining Gene Mutation with Expression of Candidate Genes to Improve Diagnosis of Escobar Syndrome.Genes · 2022Article
- Prognostic value ofFrontiers in genetics · 2022Article
- Identification of differentially expressed autophagy genes associated with osteogenic differentiation in human bone marrow mesenchymal stem cells.American journal of translational research · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
resultsFive 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-α 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.
conclusionThis 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.
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