Biology subjects

Reynard, L. N.

Publications and source records attributed to Reynard, L. N..

4 recordsLinked to original sources

bioRxiv2020

microRNA-seq of cartilage reveals an over-abundance of miR-140-3p which contains functional isomiRs

MiR-140 is selectively expressed in cartilage. Deletion of the entire miR-140 locus in mice results in growth retardation and early-onset osteoarthritis-like pathology, however the relative contribution of miR-140-5p or miR-140-3p to the phenotype remains to be determined. An unbiased small RNA sequencing approach identified miR-140-3p as significantly more abundant (>10-fold) than miR-140-5p in human cartilage. Analysis of these data identified multiple miR-140-3p isomiRs differing from the miRBase annotation at both the 5 and 3 end, with >99% having one of two seed sequences (5 bases 2-8). Canonical (miR-140-3p.2) and shifted (miR-140-3p.1) seed isomiRs were overexpressed in chondrocytes and transcriptomics performed to identify targets. miR-140-3p.1 and miR-140-3p.2 significantly down-regulated 694 and 238 genes respectively, of which only 162 genes were commonly down-regulated. IsomiR targets were validated using 3 UTR luciferase assays. miR-140-3p.1 targets were enriched within up-regulated genes in rib chondrocytes of Mir140-null mice and within down-regulated genes during human chondrogenesis. Finally, through imputing the expression of miR-140 from the expression of the host gene WWP2 in 124 previously published datasets, an inverse correlation with miR-140-3p.1 predicted targets was identified. Together these data suggest the novel seed containing isomiR miR-140-3p.1 is more functional than original consensus miR-140-3p seed containing isomiR.

molecular biology↗

bioRxiv2019

Correlation of Infinium HumanMethylation450K andMethylationEPIC BeadChip arrays in cartilage

BackgroundDNA methylation of CpG sites is commonly measured using Illumina Infinium BeadChip platforms. The Infinium MethylationEPIC array has replaced the Infinium Methylation450K array. The two arrays use the same technology, with the EPIC array assaying 865859 CpG sites, almost double the number of sites present on the 450K array. In this study, we compare DNA methylation values of shared CpGs of the same human cartilage samples assayed using both platforms.\n\nMethodsDNA methylation was measured in 21 human cartilage samples using the Illumina Infinium Methylation450K BeadChip and the Infinium methylationEPIC array. Additional matched 450K and EPIC data in whole tumour and whole blood were downloaded from GEO GSE92580 and GSE86833 respectively. Data were processed using the Bioconductor package Minfi. Additionally, DNA methylation of six CpG sites was validated for the same 21 cartilage samples by use of pyrosequencing.\n\nResultsIn cartilage samples, overall sample correlations between methylation values generated by the two arrays were high (Pearson correlation coefficient r > 0.96). However, 50.5% of CpG sites showed poor correlation (r < 0.2) between arrays. Sites with limited variance and with either very high or very low methylation levels in cartilage exhibited lower correlation values, corroborating prior studies in whole blood. Bisulfite pyrosequencing did not highlight one array as generating more accurate methylation values that the other. For a specific CpG site, the array methylation correlation coefficient differed between cartilage, tumour and whole blood, reflecting the difference in methylation variance between cell types. These patterns can be observed across different tissues with different CpG site variances. When performing differential methylation analysis, the mean probe correlation co-efficient increased with increasing {Delta}{beta} threshold used.\n\nConclusionCpG sites with low variability within a tissue showed poor reproducibility between arrays. However, variance and thus reproducibility differs across different tissue types. Therefore, researchers should be cautious when analysing methylation of CpG sites that show low methylation variance within the cell type of interest, regardless of platform or method used to assay methylation.

genomics↗

bioRxiv2019

Histone ChIP-Seq identifies differential enhancer usage during chondrogenesis as critical for defining cell-type specificity

Epigenetic mechanisms are known to regulate gene expression during chondrogenesis. In this study, we have characterised the epigenome during in vitro differentiation of human mesenchymal stem cells (hMSCs) into chondrocytes. Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) was used to assess a range of N-terminal post-transcriptional modifications (marks) to histone H3 lysines (H3K4me3, H3K4me1, H3K27ac, H3K27me3 and H3K36me3) in both hMSCs and differentiated chondrocytes. Chromatin states were characterised using histone ChIP-seq and cis-regulatory elements were identified in chondrocytes. Chondrocyte enhancers were associated with chondrogenesis related gene ontology (GO) terms. In silico analysis and integration of DNA methylation data with chondrogenesis chromatin states revealed that enhancers marked by histone marks H3K4me1 and H3K27ac were de-methylated during in vitro chondrogenesis. Similarity analysis between hMSC and chondrocyte chromatin states defined in this study with epigenomes of cell-types defined by the Roadmap Epigenomics project revealed that enhancers are more distinct between cell-types compared to other chromatin states. Motif analysis revealed that the transcription factor SOX9 is enriched in chondrocyte enhancers. Luciferase reporter assays confirmed that chondrocyte enhancers characterised in this study exhibited enhancer activity which may be modulated by inducing DNA methylation and SOX9 overexpression. Altogether, these integrated data illustrate the cross-talk between different epigenetic mechanisms during chondrocyte differentiation.\n\nSummaryHuman mesenchymal stem cells are able to differentiate into chondrocytes, the cell type found in cartilage, making them an accessible system to study gene regulation during this process. Epigenetic mechanisms such as histone modifications and DNA methylation together with transcription factor binding play a role in activating and repressing gene expression. In this study, we investigated the genome-wide histone modification changes during chondrocyte differentiation. Integration of this data with DNA methylation and SOX9 transcription factor ChIP-seq revealed epigenetic changes at gene enhancer elements. Regions of the genome that transition from non-enhancers to enhancers in chondrocytes are enriched for SOX9 transcription factor binding sites. Luciferase reporter assays revealed that enhancer activity may be modulated by manipulating DNA methylation and SOX9 expression. This study has defined important regulatory elements in chondrocytes which could serve as targets for future mechanistic studies.

genomics↗

bioRxiv2019

DNA hypomethylation during MSC chondrogenesis occurs predominantly at enhancer regions

SummaryRegulation of transcription occurs in a cell type specific manner by epigenetic mechanisms including DNA methylation and histone modifications. Methylation changes during stem cell differentiation may play a key role in lineage specification. We sought to characterise DNA methylation changes during chondrogenesis of mesenchymal stem cells (MSCs) in order to further our understanding of epigenetic regulation in chondrocytes. The consequences of which has potential to improve cartilage generation for tissue engineering purposes and also to provide context for observed methylation changes in cartilage diseases such as osteoarthritis. We identified significant DNA hypomethylation during chondrogenesis including changes at many key cartilage gene loci. Importantly characterisation of significant CpG loci indicated their predominant localisation to enhancer regions. Comparison with adult cartilage and other tissue methylation profiles identified chondrocyte-specific regulatory regions. Taken together we have associated methylation at many CpGs with the chondrocyte phenotype.\n\nAbstractRegulation of transcription is determined in a cell type specific manner by epigenetic mechanisms including DNA methylation and histone modifications. Methylation changes during stem cell differentiation may play a role in lineage specification. Multipotent mesenchymal stem cell (MSC) differentiation into chondrocytes not only serves as a model for chondrocyte development but also provides an important source of cartilage for tissue engineering purposes. We sought to characterise DNA methylation changes during chondrogenesis to further understanding of epigenetic regulation but to also provide context for the changes identified during disease.\n\nDNA cytosine methylation changes during human MSC differentiation into chondrocytes were measured by Infinium 450K methylation array. Methylation changes at gene loci were contrasted with gene expression changes. Chromatin states of significant methylation loci were interpreted by intersection with chondrogenesis histone modification ChlP-seq data. Chondrogenic and cartilage specific hypomethylation was utilised in order to identify a chondrocyte methylome. Articular cartilage and tissue panel DNA methylation was compared and alterations during osteoarthritis cartilage disease classified.\n\nSignificant DNA hypomethylation was identified following chondrogenic differentiation of MSCs including changes at many key cartilage gene loci. Highly upregulated genes during chondrogenesis were more likely to exhibit a reduction in DNA methylation. Characterisation of significant CpG loci indicated their predominant localisation in CpG poor regions which importantly are most likely to correspond to enhancer regions. Methylation level at certain CpGs following chondrogenesis corresponds to the level found in adult cartilage.\n\nTaken together, considerable demethylation changes to the epigenetic landscape occur during MSC chondrogenesis especially at sites marked by enhancer modifications. Comparison with other tissues, including healthy and OA cartilage, associates CpGs to the chondrocyte phenotype and provides context for changes in disease.

genomics↗