DNA methyltransferase 1 deficiency improves macrophage motility and wound healing by ameliorating cholesterol accumulation
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ABSTRACT:
PROVIDER: PRJNA976933 | ENA |
REPOSITORIES: ENA
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Project description:Healing of the cutaneous wound requires macrophage recruitment at the sites of injury, where chemotactic migration of macrophages toward the wound is regulated by local inflammation. Recent studies suggest a positive contribution of DNA methyltransferase 1 (Dnmt1) to macrophage pro-informatory responses; however, its role in regulating macrophage motility remains unknown. In this study, myeloid-specific depletion of Dnmt1 in mice promoted cutaneous wound healing and de-suppressed the lipopolysaccharides (LPS)-inhibited macrophage motility. Dnmt1 inhibition in macrophages eliminated the LPS-stimulated changes in cellular mechanical properties in terms of elasticity and viscoelasticity. LPS increased the cellular accumulation of cholesterol in a Dnmt1-depedent manner; cholesterol content determined cellular stiffness and motility. Lipidomic analysis indicated that Dnmt1 inhibition altered the cellular lipid homeostasis, probably through down-regulating the expression of cluster of differentiation 36 CD36 (facilitating lipid influx) and up-regulating the expression of ATP-binding cassette transporter ABCA1 (mediating lipid efflux) and sterol O-acyltransferase 1 SOAT1 (also named ACAT1, catalyzing the esterification of cholesterol). Our study revealed a Dnmt1-dependent epigenetic mechanism in the control of macrophage mechanical properties and the related chemotactic motility, indicating Dnmt1 as both a marker of diseases and a potential target of therapeutic intervention for wound healing.
2023-06-01 | GSE233629 | GEO
Project description:We generated a genomic and phenotypic resource comprising genetically outbred mice in which we measured (i) quantitative differences in wound healing indicated as ear area (ii) bone marrow derived macrophage (BMDM) mRNA expression by RNA-sequencing (RNA-seq), (iii) genome-wide SNPs genotyping by low-coverage sequencing.We performed gene co-expression network analysis and we identified a network in macrophages enriched in cholesterol genes which is genetically controlled by Runx2 gene. In vivo pharmacological blockage of Fasn with cerulenin showed delayed wound healing in rats and increased macrophage recruitment to the wound.
2019-01-11 | GSE112171 | GEO
Project description:Systems genetics identifies a macrophage cholesterol network that associates with physiological wound healing
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Project description:Impaired skin wound healing is a significant global health issue, especially among the elderly. Wound healing is a well-orchestrated process involving the sequential phases of inflammation, proliferation, and tissue remodeling. Although wound healing is a highly dynamic and energy-requiring process, the role of metabolism remains largely unexplored. By combining transcriptomics and metabolomics of human skin biopsy samples, we mapped the core bioenergetic and metabolic changes in normal acute as well as chronic wounds in elderly subjects. We found upregulation of glycolysis, the tricarboxylic acid cycle, glutaminolysis, and β-oxidation in the later stages of acute wound healing and in chronic wounds. To ascertain the role of these metabolic pathways on wound healing, we targeted each pathway in a wound healing assay as well as in a human skin explant model using metabolic inhibitors and stimulants. Enhancement or inhibition of glycolysis and, to a lesser extent, glutaminolysis had a far greater impact on wound healing than similar manipulations of oxidative phosphorylation and fatty acid β-oxidation. These findings increase the understanding of wound metabolism and identify glycolysis and glutaminolysis as potential targets for therapeutic intervention.
2024-07-02 | MTBLS3315 | MetaboLights
Project description:In order to clarify the human response of re-epithelialization, we biopsied split-thickness skin graft donor site wounds immediately before and after harvesting, as well as during the healing process 3 and 7 days thereafter. Altogether 25 biopsies from 8 patients qualified for the study. All samples were analysed by genome-wide microarrays. Here we identified the genes associated with normal skin re-epithelialization on time-scale, and organized them by similarities according to their induction or suppression patterns during wound healing. Overall 25 samples were analyzed
2011-04-29 | E-GEOD-28914 | biostudies-arrayexpress
Project description:The process of wound healing in humans is poorly understood. To identify spatiotemporal gene expression patterns during human wound healing, we performed single cell and spatial transcriptomics profiling of human in vivo wound samples.
2024-09-04 | GSE241132 | GEO
Project description:S.ciliatum wound healing - transcriptome sequencing
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Project description:Urinary bladder wound healing is today pooorly chracterized. MicroRNAs are small non-coding RNA molecules with regulatory functions. In this study we aimed at identifying microRNAs expressed during bladder wound healing. We performed Affymetrix microRNA profiling of the rodent urinary bladder during healing of a surgically created wound.
2021-12-01 | GSE176515 | GEO
Project description:A recent physiological study established that hindlimb unloading of rats at 3 and 7 weeks inhibits healing of injured ligaments, resulting in a badly aligned, discontinuous collagen matrix. Using tissue from these rats, we focused on the 3-week time point employing microarray analysis to identify what cellular processes or lack of processes could account for these observed deficiencies. We used the Afyymetrix RG_U34A GeneChip and performed image analysis with Microarray Suite 5.0. For normalization we used the MAS global normalization protocol with a default target mean signal of 500. Gene expression in medial collateral ligament tissue under 4 different treatment conditions was measured: loaded control, loaded wound healing, unloaded control, and unloaded wound healing. From our results, it appears that unloaded tissue lags behind loaded tissue in its progression through the healing process and at 3 weeks is still engaged in the proliferative phase, whereas loaded tissue is actively remodeling its collagen matrix. Summary tables below: Affymetrix MAS comparative analysis data for the 1778 genes qualified for further analysis as a result of detection call values. Keywords: other
2004-03-10 | GSE1105 | GEO