Identifying Fibroblast Growth Factor Receptor 3 as a Mediator of Periosteal Osteochondral Differentiation through the Construction of microRNA-Based Interaction Networks.
fracture repair
microRNA
osteoarthritis
osteochondral differentiation
Journal
Biology
ISSN: 2079-7737
Titre abrégé: Biology (Basel)
Pays: Switzerland
ID NLM: 101587988
Informations de publication
Date de publication:
28 Oct 2023
28 Oct 2023
Historique:
received:
24
08
2023
revised:
13
10
2023
accepted:
24
10
2023
medline:
24
11
2023
pubmed:
24
11
2023
entrez:
24
11
2023
Statut:
epublish
Résumé
Human periosteum-derived progenitor cells (hPDCs) have the ability to differentiate towards both the chondrogenic and osteogenic lineages. This coordinated and complex osteochondrogenic differentiation process permits endochondral ossification and is essential in bone development and repair. We have previously shown that humanised cultures of hPDCs enhance their osteochondrogenic potentials in vitro and in vivo; however, the underlying mechanisms are largely unknown. This study aimed to identify novel regulators of hPDC osteochondrogenic differentiation through the construction of miRNA-mRNA regulatory networks derived from hPDCs cultured in human serum or foetal bovine serum as an alternative in silico strategy to serum characterisation. Sixteen differentially expressed miRNAs (DEMis) were identified in the humanised culture. In silico analysis of the DEMis with TargetScan allowed for the identification of 1503 potential miRNA target genes. Upon comparison with a paired RNAseq dataset, a 4.5% overlap was observed (122 genes). A protein-protein interaction network created with STRING interestingly identified FGFR3 as a key network node, which was further predicted using multiple pathway analyses. Functional analysis revealed that hPDCs with the activating mutation FGFR3
Identifiants
pubmed: 37997980
pii: biology12111381
doi: 10.3390/biology12111381
pmc: PMC10669632
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : RVC Paul Mellon research fund
ID : 2020
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