Similar Datasets
Project description:Keloids are wounding-induced fibroproliferative human tumor–like skin scars of complex genetic makeup and poorly defined pathogenesis. Fibroblasts are the principal mediator of fibroproliferative disorders. To reveal dynamic epigenetic and transcriptome changes of keloid fibroblasts, a vertical study from RNA-seq and ATAC-seq analyses followed by in vivo confirmation of candidate molecule expression and subsequent functional testing was carried out using an early passage, freshly isolated keloid fibroblast cell strain and its paired normal control. These keloid fibroblasts produce keloid-like scars in a plasma clot-based skin equivalent humanized keloid animal model. RNA-seq analysis reveals that Hepatic fibrosis is the most significant pathway followed by Wnt–b-catenin signaling, TGF-b signaling, regulation of the EMT pathway, the STAT3 pathway, and adherens junction signaling. ATAC-seq analysis shows that STAT3 signaling is the most active pathway in keloid fibroblasts, followed by Wnt signaling (Wnt5) and regulation of the EMT pathway. Immunohistochemistry confirms that activated STAT3, (Tyr705 phospho-STAT3) and/or b-catenin are upregulated in dermal fibroblasts of keloid clinical specimens and mature keloid skin equivalent implants from the humanized mouse model compared to the normal control. The effect of STAT3 signaling on keloid fibroblast collagen expression was further tested in plasma clot-based skin equivalents using Cucurbitacin I, a selective JAK2/STAT3 inhibitor. A non-linear dose response of Cucurbitacin I was observed in collagen type I expression indicating a likely role of STAT3 signaling pathway in keloid pathogenesis. This work also demonstrates the utility of the recently established humanized keloid mouse model in exploring the mechanism of keloid formation.
2020-01-11 | GSE125022 | GEO
Project description:Keloid disease (KD) is a fibroproliferative cutaneous tumour characterised by heterogeneity, excess collagen deposition and aggressive local invasion. Normal and keloid scar tissues were analysed with a site-specific in situ approach through combined laser capture microdissection, as well as whole tissue biopsy and monolayer cell culture techniques.
2017-12-07 | E-MTAB-4945 | biostudies-arrayexpress
Project description:This study investigated the effects of extracellular matrix (ECM) rigidty on gene expression patterns in normal dermal fibroblasts (NDFs) and keloid dermal fibroblasts (KDFs). Cells were cultured on collagen coated polyacrylamide hydrogels with elastic moduli mimicking normal skin (8 kPa) or keloid scar tissue (214 kPa), and changes in gene expression were profiled using next-generation RNA-sequencing. Differential gene expression analysis identified overall significant differences in gene expression between the NDF and KDF populations. Despite high levels of inter-patient heterogeneity in the KDF samples, further principal components analysis revealed a subset of genes (PC5) that were specifically regulated by ECM rigidity. Gene set enrichment analysis of the PC5 genes identified classic pathways associated with mechanotransduction, including Hippo Signalling and Regulation of the Actin Cytoskeleton, as well as genes associated with the Autophagy pathway. Additional in vitro studies and human tissue staining confirmed the biomechanical regulation of autophagic flux in NDFs and KDFs and differential remodelling of the lysosome in KDFs and keloid scars. Together, these findings implicate autophagy and lysosomal remodelling as biomechanically dysregulated pathways in keloid fibroblasts, and these mechanisms may contribute to scar pathogenesis.
2023-11-02 | GSE246562 | GEO
Project description:RNA sequencing has been performed to investigate the transcriptomic profile of keratinocyte derived from keloid and normal skin tissue. Keratinocytes of low passage (p2-4) were cultured onto T25 flasks until full confluence was reached. Keratinocytes were then harvested by trypsinization using 0.05% trypsin-EDTA and washed in Phosphate Buffered Saline (PBS). RNA was extracted using the RNeasy Mini kit protocol. Samples were then sent to the Australian Genome Research Facility (AGRF) where 1μg of RNA was submitted for next-generation sequencing. Once raw data returned, bioinformatics analyses were conducted. Through RNA-seq and bioinformatics analysis, 252 differentially expressed genes were identified in keloid keratinocytes compared to normal skin keratinocytes. Further gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) analyses revealed that changes in tight junctions and dysregulated response to viral infection were associated with keloid epithelia and may be linked to the disease. The results of the transcriptome analysis intimate that keloid derived keratinocytes exhibit an abnormal gene expression profile and the abnormalities in keloid keratinocytes may have an important role in keloid pathogenesis.
2021-10-06 | GSE185309 | GEO
Project description:Keloids are scars that extend beyond original wounds and are resistant to treatment. In order to improve understanding of the molecular basis of keloid scarring, we have assessed the genomic profiles of keloid fibroblasts and keratinocytes. Skin and scar tissues were obtained for isolation of primary keratinocytes and fibroblasts. Keloid scars were excised from patients undergoing scar excision surgery, normal skin samples were isolated from patients undergoing elective plastic surgery. Primary culters were prepared for keratinocytes and fibroblasts, and were harvested for analysis up to passage three. Nine keloid scars, for adjacent non-lesional keloid skin samples, and three normal skin samples were obtained and cultured. RNA was isolated using RNeasy, and quality verified using an Agilent 2100 Bioanalyzer. Labeling and hybridization to Affymetrix Human Gene 1.0 ST microarray chips was performed by the Vanderbilt Genome Sciences Resource at Vanderbilt University Medical Center.
2013-05-28 | E-GEOD-44270 | biostudies-arrayexpress
Project description:Keloids are pathological fibroproliferative scars resulting from abnormal collagen deposition within and beyond the margins of the initial cutaneous insult. Keloids negatively impact quality of life cosmetically and functionally and have unsatisfactory treatment modalities with adverse side effects and high reoccurrence rates. Recent studies indicate that epigenetic dysregulation is involved in the development and progression of keloids, suggesting that this could be a viable therapeutic target. The purpose of this study was to evaluate epigenetic targeting drugs, HDACi, LSD1i, Corin, and A-485, as potential therapies for keloids using in-vitro model systems with patient-derived keloid fibroblasts. Results demonstrated that both dual-acting CoREST inhibitor, corin, and HDAC inhibitor, MS-275, reduced fibroblast proliferation more than the LSD1 inhibitor. Corin was the most effective inhibitor of keloid fibroblast migration and invasion across keloid cell lines and primary cells. RNA-seq analysis showed that corin treatment upregulated a significant number of genes with an enrichment in neural differentiation and cell adhesion gene sets. Specifically, corin increased the expression of claudins, which may cause increased cell adhesion and contribute to corin-induced reductions in migration and invasion. Corin downregulated gene sets involved in cell cycle progression, confirmed by reductions in Cyclin A1 and Cyclin B2 at the protein level compared to DMSO. These results highlight the significant role for epigenetic regulation in pathogenic keloid fibroblasts properties and indicate that the epigenetic inhibitor corin may be useful in the prevention and/or treatment of keloids.
2024-07-23 | GSE232079 | GEO
Project description:Keloid scars is a pathologic fibro-proliferative disorders of the skin, which exhibit abnormal phenotypes including fibroblasts proliferation and collagen deposits. There have been several treatments of keloids including conventional surgical therapies and adjuvant therapies, but a high recurrence rate of keloids was also observed after treatment. Quantitative proteomics approach has been proved an efficient approach to investigate pathological mechanism and novel biomarkers. In this study, we present a label-free quantitative proteomics analysis to explore differential protein expression profiles in normal skin and keloid scar tissues based on nano-liquid chromatography and tandem mass spectrometry (Nano-LC–MS/MS). The study results displayed a more comprehensive keloid protein expression landscape and provided novel pathological insight of keloid.
2023-03-11 | PXD029631 | Pride
Project description:Background:Keloid (KL) is a common benign skin tumor. KL is typically characterized by significant fibrosis and an intensive inflammatory response. Therefore, a comprehensive understanding of the interactions between cellular inflammation and fibrotic cells is essential to elucidate the mechanisms driving the progression of KL and to develop therapeutics. Objective: Investigate the transcriptome landscape of inflammation and fibrosis in keloid scars. Methods: In this paper, we performed transcriptome sequencing and microRNA (miRNA) sequencing on unselected live cells from six human keloid tissues and normal skin tissues to elucidate a comprehensive transcriptome landscape. In addition, we used single-cell RNA sequencing (scRNA-seq) analysis to analyze intercellular communication networks and enrich fibroblast populations in two additional keloid and normal skin samples to study fibroblast diversity. Results: By RNA sequencing and a miRNA-mRNA-PPI network analysis, we identified miR-615-5p and miR-122b-3p as possible miRNAs associated with keloids, as they differed most significantly in keloids. Similarly, COL3A1, COL1A2, THBS2, TNC, IGTA, THBS4, TGFB3 as genes with significant differences in keloid may be associated with keloid development. Using single-cell RNA sequencing data from 24086 cells collected from normal or keloid, we report reconstructed intercellular signaling network analysis and aggregation to modules associated with specific cell subpopulations at the cellular level for keloid alterations. Conclusions: Our multitranscriptomic dataset delineates inflammatory and fibro heterogeneity of human keloids, underlining the importance of intercellular crosstalk between inflammatory cells and fibro cells and revealing potential therapeutic targets.
2024-09-30 | GSE237753 | GEO
Project description:Background:Keloid (KL) is a common benign skin tumor. KL is typically characterized by significant fibrosis and an intensive inflammatory response. Therefore, a comprehensive understanding of the interactions between cellular inflammation and fibrotic cells is essential to elucidate the mechanisms driving the progression of KL and to develop therapeutics. Objective: Investigate the transcriptome landscape of inflammation and fibrosis in keloid scars. Methods: In this paper, we performed transcriptome sequencing and microRNA (miRNA) sequencing on unselected live cells from six human keloid tissues and normal skin tissues to elucidate a comprehensive transcriptome landscape. In addition, we used single-cell RNA sequencing (scRNA-seq) analysis to analyze intercellular communication networks and enrich fibroblast populations in two additional keloid and normal skin samples to study fibroblast diversity. Results: By RNA sequencing and a miRNA-mRNA-PPI network analysis, we identified miR-615-5p and miR-122b-3p as possible miRNAs associated with keloids, as they differed most significantly in keloids. Similarly, COL3A1, COL1A2, THBS2, TNC, IGTA, THBS4, TGFB3 as genes with significant differences in keloid may be associated with keloid development. Using single-cell RNA sequencing data from 24086 cells collected from normal or keloid, we report reconstructed intercellular signaling network analysis and aggregation to modules associated with specific cell subpopulations at the cellular level for keloid alterations. Conclusions: Our multitranscriptomic dataset delineates inflammatory and fibro heterogeneity of human keloids, underlining the importance of intercellular crosstalk between inflammatory cells and fibro cells and revealing potential therapeutic targets.
2024-09-30 | GSE237754 | GEO