Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

12 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Keratinocyte and fibroblast gene expression in skin and keloid scar tissue

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Rebekah Karns

PROVIDER: E-GEOD-44270 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Extracellular matrix analysis of human keloid scars

Project description:Fibrosis is vaguely described as connective tissue deposition that can be excessive in pathological conditions. This suggests a quantitative spectrum of fibrosis wherein there can be more or less extracellular matrix (ECM), which in the context of a repairing skin wound could reflect the range from normal scar to keloid. This depiction, however, does not encompass the potential qualitative differences between normal and pathological scars. In keloids, the markedly different physical (hard and dense) and histological (hyalinization) characteristics compared to normal scars indicate an altered and inappropriate matrix, rather than simply too much. With this quantitative discovery-based proteomics we provide a thorough molecular description of keloid lesions relative to normal scars, which is an essential step towards our understanding of this problem.

2019-12-03 | PXD015057 | Pride

site-specific gene expression profiling in keloid disease

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

The Role of the Mammalian Target of Rapamycin in Keloid and Hypertrophic Scars

Project description:We hypothesize that, the mTOR pathway is a dominant pathway in cultured keloid and hypertrophy scar fibriblasts compared to normal skin cells. Certain pathway changes can be detected after medication treatment. Global gene expression in RNA samples from rapamycin and tacrolimus treated fibroblasts (from normal skin and hypertrophic scars, keloid scars) is assayed to study the possibility to use mTOR inhibitors as potential drug to treat abnormal scarring. We investigated the difference between normal wound healing and hypertrophic scars and keloids as well.

2014-05-20 | E-MTAB-2509 | biostudies-arrayexpress

Keloid-specific gene expression profiling for accurate diagnostic and therapeutic applications.

Project description:Scars are a heterogeneous disease including normotrophic scars, hypertrophic scars, and keloids. Of these lesions, keloids are a distinct subtype from any other type of scar because clinically, it causes pain, itching, or tenderness, causing life discomfort and characteristically irreversible. Therefore, for accurate diagnosis and treatment of keloids, it is essential to identify keloid-specific genes. However, in previous studies, keloids were compared with controls such as scar-free normal skin. In these studies, general scar-related genes were likely to be chosen rather than keloid-specific genes. In this study, we acquired transcriptomic profiles of normotrophic scars, hypertrophic scars, and keloids from formalin-fixed paraffin-embedded human skin samples using high-throughput RNA-sequencing techniques. We compared the transcriptome profile of keloids with those of other scar lesions to select for highly accurate keloid-specific genes and pathways. The results revealed that genes related with several biological processes such as sensory/visual perception are upregulated strongly in keloids, whereas genes related with activation of immune response were downregulated remarkably in keloids. Furthermore, the biological process of extracellular matrix organization was highlighted in both hypertrophic scars and keloids. In conclusion, our study provides insight into the pathogenesis of keloids distinct from other scar lesions as well as potential keloid-specific biomarkers.

2021-11-23 | GSE188952 | GEO

small non-codingRNA in Human keloid scar tissue and normal skin tissue

Project description:We selected 3 pairs of keloid and normal skin matched by age and site of onset to observe the expression difference of small noncoding RNA

2022-01-19 | E-MTAB-11336 | biostudies-arrayexpress

Real-time quantitative PCR analysis of 88 microRNAs involved in human cell differentiation and development in involved skin of systemic scleroderma (SSc), localized scleroderma (LSc) and Keloid.

Project description:Skin specimens were derived from involved skin of 3 systemic scleroderma (SSc), 3 localized scleroderma (LSc) and 3 keloid patients. These skin samples and 3 control skins were collected and fixed in formaldehyde immediately after resections. The microRNA (miRNA) isolation from human skin tissue was performed using miRNeasy FFPE kit (Qiagen). For PCR array, miRNAs were reverse-transcribed into first strand cDNA using RT2 miRNA First Strand Kit (SABiosciences). A mixture of equal amounts of miRNAs from 3 normal skins, 3 SSc, 3 LSc or 3 keloid were prepared, and miRNA expression profile in each disease in vivo was evaluated using RT2 Profiler PCR Array. The cDNA was mixed with RT2 SYBR Green/ROX qPCR Master Mix and the mixture was added into 96-well RT2 miRNA PCR Array that includes primer pairs for 88 human miRNAs (SABiosciences). Skin specimens were derived from involved skin of 3 systemic scleroderma (SSc), 3 localized scleroderma (LSc) and 3 keloid patients. These skin samples and 3 control skins were collected and fixed in formaldehyde immediately after resections. Control donors were each matched with diseases for age, sex, and biopsy site.

2013-01-15 | E-GEOD-43469 | biostudies-arrayexpress

Quantitative proteomic analysis of keloid scars and normal skin tissues

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

Genome-wide Scan for Methylation Profiles in Keloids

Project description:Genome wide DNA methylation profiling of normal skin and keloid samples. The Illumina Infinium 450k Human DNA methylation Beadchip v1.1 was used to obtain DNA methylation profiles across approximately 485577 CpGs in keloid and normal samples. Samples included 6 normal skin, 6 Keloid. Bisulphite converted DNA from the 12 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip v1.1

2014-04-02 | E-GEOD-56420 | biostudies-arrayexpress

WNT5A Drives IL-6-Dependent Epithelial-to-Mesenchymal Transition via the JAK/STAT Pathway in Keloid Pathogenesis

Project description:Purpose: We aimed to identify the molecular drivers that initiate or sustain keloid pathogenesis. Method: Bulk tissue RNA sequencing of Asian keloid and normal tissues was performed to identify genes that contribute to keloid pathogenesis. We also established a preclinical model of inflammatory skin fibrosis by injecting C57BL/6 mice with bleomycin intradermally for 3 weeks to provide an alternative animal model of keloid scar. Result: Gene set enrichment analysis revealed upregulation of WNT5A gene expression, along with significant enrichment of genes related to EMT in keloid tissues. These results correlate with those of histological analysis in which human keloid tissues and the bleomycin-induced fibrosis animal model showed increased WNT5A expression along with EMT markers. Our in vitro data showed increased expression of the IL-6/JAK/STAT pathway and subsequent elevation in EMT markers on keratinocytes when co-cultured with WNT5A-activated fibroblasts or keloid fibroblasts. Silencing of WNT5A reversed the hyperactivation of the STAT pathway and EMT. Conclusion: IL-6 secreted from WNT5A-activated fibroblasts or keloid fibroblasts may induce adjacent keratinocytes to express EMT markers by activating the JAK/STAT signalling pathway. A better understanding of keloid pathogenesis and the role of WNT5A in EMT will promote the development of next-generation targeted treatments for keloid scars.

2021-05-06 | GSE173900 | GEO

Exclusive expression of KANK4 promotes myofibroblast mobility in keloid tissues

Project description:Keloids are characterized by abnormal wound healing with excessive accumulation of extracellular matrix. Myofibroblasts are the primary contributor to extracellular matrix secretion, playing an essential role in the wound healing process. However, the differences between myofibroblasts involved in keloid formation and normal wound healing remain unclear. To identify the specific characteristics of keloid myofibroblasts, we initially assessed the expression levels of well-established myofibroblast markers, α-smooth muscle actin (α-SMA) and transgelin (TAGLN), in scar and keloid tissues (n = 63 and 51, respectively). The objective was to evaluate the enrichment of myofibroblasts in these tissues. Although myofibroblasts were present in significant quantities in keloids and immature scars, they were absent in mature scars. Next, we conducted RNA sequencing using myofibroblast-rich areas from keloids and immature scars to investigate the difference in RNA expression profiles among myofibroblasts. Comparison of the results with publicly available RNA-sequencing datasets revealed that 112 genes were significantly upregulated and 108 genes were downregulated in keloid samples compared with immature scar samples. Among them, KN motif and ankyrin repeat domains 4 (KANK4) was identified as a specifically upregulated gene in keloids. Immunohistochemical analysis showed that KANK4 protein was expressed in myofibroblasts in keloid tissues; however, it was not expressed in any myofibroblasts in immature scar tissues. There are two main isoforms of KANK4 transcripts, with short isoforms being dominantly expressed in keloid tissue. Overexpression of the short isoform of KANK4 enhanced cell mobility in keloid myofibroblasts. Our results suggest that the KANK4-mediated increase in myofibroblast mobility contributes to keloid pathogenesis.

2024-03-19 | GSE245660 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data