AbstractmicroRNAs (miRNAs) are abundantly expressed in development where they are critical determinants of cell differentiation and phenotype. Accordingly miRNAs are essential for normal skeletal development and chondrogenesis in particular. However, the question of which miRNAs are specific to the chondrocyte phenotype has not been fully addressed. Using microarray analysis of miRNA expression during mesenchymal stem cell chondrogenic differentiation and detailed examination of the role of essential differentiation factors, such as SOX9, TGF‐β, and the cell condensation phase, we characterize the repertoire of specific miRNAs involved in chondrocyte development, highlighting in particular miR‐140 and miR‐455. Further with the use of mRNA microarray data we integrate miRNA expression and mRNA expression during chondrogenesis to underline the particular importance of miR‐140, especially the ‐5p strand. We provide a detailed identification and validation of direct targets of miR‐140‐5p in both chondrogenesis and adult chondrocytes with the use of microarray and 3′UTR analysis. This emphasizes the diverse array of targets and pathways regulated by miR‐140‐5p. We are also able to confirm previous experimentally identified targets but, additionally, identify a novel positive regulation of the Wnt signaling pathway by miR‐140‐5p. Wnt signaling has a complex role in chondrogenesis and skeletal development and these findings illustrate a previously unidentified role for miR‐140‐5p in regulation of Wnt signaling in these processes. Together these developments further highlight the role of miRNAs during chondrogenesis to improve our understanding of chondrocyte development and guide cartilage tissue engineering. Stem Cells 2015;33:3266–3280
Objective To identify methylation quantitative trait loci (mQTLs) correlating with osteoarthritis (OA) risk alleles and to undertake mechanistic characterization as a means of target gene prioritization. Methods We used genome‐wide genotyping and cartilage DNA methylation array data in a discovery screen of novel OA risk loci. This was followed by methylation, gene expression analysis, and genotyping studies in additional cartilage samples, accompanied by in silico analyses. Results We identified 4 novel OA mQTLs. The most significant mQTL contained 9 CpG sites where methylation correlated with OA risk genotype, with 5 of the CpG sites having P values <1 × 10−10. The 9 CpG sites reside in an interval of only 7.7 kb within the PLEC gene and form 2 distinct clusters. We were able to prioritize PLEC and the adjacent gene GRINA as independent targets of the OA risk. We identified PLEC and GRINA expression QTLs operating in cartilage, as well as methylation‐expression QTLs operating on the 2 genes. GRINA and PLEC also demonstrated differential expression between OA hip and non‐OA hip cartilage. Conclusion PLEC encodes plectin, a cytoskeletal protein that maintains tissue integrity by regulating intracellular signaling in response to mechanical stimuli. GRINA encodes the ionotropic glutamate receptor TMBIM3 (transmembrane BAX inhibitor 1 motif–containing protein family member 3), which regulates cell survival. Based on our results, we hypothesize that in a joint predisposed to OA, expression of these genes alters in order to combat aberrant biomechanics, and that this is epigenetically regulated. However, carriage of the OA risk–conferring allele at this locus hinders this response and contributes to disease development.
Osteoarthritis (OA) is a common, multifactorial and polygenic skeletal disease that, in its severest form, requires joint replacement surgery to restore mobility and to relieve chronic pain. Using tissues from the articulating joints of 260 patients with OA and a range of in vitro experiments, including CRISPR-Cas9, we have characterized an intergenic regulatory element. Here, genotype at an OA risk locus correlates with differential DNA methylation, with altered gene expression of both a transcriptional regulator (RUNX2), and a chromatin remodelling protein (SUPT3H). RUNX2 is a strong candidate for OA susceptibility, with its encoded protein being essential for skeletogenesis and healthy joint function. The OA risk locus includes single nucleotide polymorphisms (SNPs) located within and flanking the differentially methylated region (DMR). The OA association SNP, rs10948172, demonstrates particularly strong correlation with methylation, and two intergenic SNPs falling within the DMR (rs62435998 and rs62435999) demonstrate genetic and epigenetic effects on the regulatory activity of this region. We therefore posit that the OA signal mediates its effect by modulating the methylation of the regulatory element, which then impacts on gene expression, with RUNX2 being the principal target. Our study highlights the interplay between DNA methylation, OA genetic risk and the downstream regulation of genes critical to normal joint function.
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