Genome-Wide DNA Hypermethylation in the Wound-Edge of Chronic Wound Patients Opposes Closure by Impairing Epithelial to Mesenchymal Transition
Unbiased whole-genome methylome was studied in the wound-edge (WE) tissue of chronic wound patients. Methylation status of proximal promoter (1Kb) was calculated using MethylCap-Seq and PrEMeR-CG data analyses. A total of 4689 differentially methylated regions (DMRs) were identified in chronic WE compared to unwounded (UW) human skin. Hypermethylation was more frequently observed (3661 DMRs) in the chronic WE compared to hypomethylation (1028 DMRs). Twenty-six hypermethylated DMRs were involved in epithelial to mesenchymal transition (EMT). Bisulfite sequencing validated hypermethylation of a predicted specific upstream regulator TP53. Whole genome RNA sequencing analysis was performed to qualify findings from methylome analysis. Hierarchical clustering analyses identified a large set of genes, the expression of which were significantly downregulated in chronic WE compared to UW skin. Analysis of the downregulated genes identified the TP53 signaling pathway, including P63, P73, FOXO3, SIRT1 and HDAC1, as being significantly silenced. Direct comparison of hypermethylation and downregulated gene expression identified four genes, ADAM17, NOTCH, TWIST1 and SMURF1, that were common to both data sets and functionally represented the EMT pathway. Single cell RNA sequencing studies identified that these effects on gene expression were limited to the keratinocyte cell compartment. Overall design: In this work, scRNA-seq analyses of human chronic WE characterized its heterogenous cellular composition as compared to unwounded skin.
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Atlas
Analysis Portals
NoneProject Label
chronicWoundDiabetesSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
Organ Part
Selected Cell Types
Unspecified
Disease Status (Specimen)
Disease Status (Donor)
Development Stage
human adult stage
Library Construction Method
Nucleic Acid Source
single cell
Paired End
falseAnalysis Protocol
10x_gene_expression_analysis, Visium_analysisFile Format
Cell Count Estimate
36.5kDonor Count
7