Genome-wide reduction in chromatin accessibility and unique transcription factor footprints in endothelial cells and fibroblasts in scleroderma skin
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE163199 | GEO | 2022/09/02
REPOSITORIES: GEO
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Project description:We assessed transcriptomic changes in fibroblasts isolated from skin biopsies from diffuse cutaneous scleroderma patients before and after BET inhibitor JQ1 treatment
2022-03-01 | GSE186961 | GEO
Project description:RNA expression profiling was carried out for systemic sclerosis (scleroderma) on skin biopsies obtained from both diffuse scleroderma (dcSSc) and limited scleroderma (lcSSc) subjects patients and compared to normal subjects. The patient group comprised of 4 dcSSc and 2 lcSSc subjects, all of whom were Caucasian and belonged to the age range of 42-73 (Mean age = 61.6). Patient sample set consisted of 3 females and 3 males. Race matched female volunteers from the same geographical area were recruited as controls (n = 4) and belonged to the age range of 41-62 (Mean age = 52).
2015-03-25 | E-MEXP-1214 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE3886: Scleroderma Morphea Normal Fibroblasts GSE3887: Scleroderma Architecture Cell Lines Abstract: We used DNA microarrays representing >12,000 human genes to characterize gene expression patterns in skin biopsies from individuals with a diagnosis of systemic sclerosis with diffuse scleroderma. We found consistent differences in the patterns of gene expression between skin biopsies from individuals with scleroderma and those from normal, unaffected individuals. The biopsies from affected individuals showed nearly indistinguishable patterns of gene expression in clinically affected and clinically unaffected tissue, even though these were clearly distinguishable from the patterns found in similar tissue from unaffected individuals. Genes characteristically expressed in endothelial cells, B lymphocytes, and fibroblasts showed differential expression between scleroderma and normal biopsies. Analysis of lymphocyte populations in scleroderma skin biopsies by immunohistochemistry suggest the B lymphocyte signature observed on our arrays is from CD20+ B cells. These results provide evidence that scleroderma has systemic manifestations that affect multiple cell types and suggests genes that could be used as potential markers for the disease Refer to individual Series
2006-03-07 | E-GEOD-4385 | biostudies-arrayexpress
Project description:Abstract: We used DNA microarrays representing >12,000 human genes to characterize gene expression patterns in skin biopsies from individuals with a diagnosis of systemic sclerosis with diffuse scleroderma. We found consistent differences in the patterns of gene expression between skin biopsies from individuals with scleroderma and those from normal, unaffected individuals. The biopsies from affected individuals showed nearly indistinguishable patterns of gene expression in clinically affected and clinically unaffected tissue, even though these were clearly distinguishable from the patterns found in similar tissue from unaffected individuals. Genes characteristically expressed in endothelial cells, B lymphocytes, and fibroblasts showed differential expression between scleroderma and normal biopsies. Analysis of lymphocyte populations in scleroderma skin biopsies by immunohistochemistry suggest the B lymphocyte signature observed on our arrays is from CD20+ B cells. These results provide evidence that scleroderma has systemic manifestations that affect multiple cell types and suggests genes that could be used as potential markers for the disease This SuperSeries is composed of the SubSeries listed below.
2006-03-08 | GSE4385 | GEO
Project description:We have analyzed the genome-wide patterns of gene expression with DNA microarrays in skin biopsies from 34 subjects: 17 patients with SSc with diffuse scleroderma (dSSc), 7 patients with SSc with limited scleroderma (lSSc), 3 patients with morphea and 6 healthy controls. In total, 61 skin biopsies were analyzed. The addition of 14 technical replicates resulted in a total of 75 microarray hybridizations. The Intrinsic_scleroderma_genes.txt supplementary file lists the 995 genes with the most consistent expression between each forearm-back pair and technical replicates, but with the highest variance across all samples analyzed. An intrinsic gene identifier algorithm was used to select a set of intrinsic scleroderma genes. A total of 34 experimental groups were defined, each representing the 34 different subjects in our study. Replicate hybridizations for a given patient were assigned to the same experimental group. Each gene was analyzed and assigned a score that is inversely related to how intrinsic the gene's expression is across the samples analyzed. The analysis was repeated on randomized data in order to estimate a False Discovery Rate (FDR). An intrinsic score of 0.3 selected 995 genes with an FDR of 4% (39 ± 7 genes) while retaining reproducible clustering of technical replicates. Keywords: global gene expression profiling using Agilent Whole Human genome oligo arrays
2008-07-15 | GSE9285 | GEO
Project description:We have analyzed the genome-wide patterns of gene expression with DNA microarrays in skin biopsies from 34 subjects: 17 patients with SSc with diffuse scleroderma (dSSc), 7 patients with SSc with limited scleroderma (lSSc), 3 patients with morphea and 6 healthy controls. In total, 61 skin biopsies were analyzed. The addition of 14 technical replicates resulted in a total of 75 microarray hybridizations. The Intrinsic_scleroderma_genes.txt supplementary file lists the 995 genes with the most consistent expression between each forearm-back pair and technical replicates, but with the highest variance across all samples analyzed. An intrinsic gene identifier algorithm was used to select a set of intrinsic scleroderma genes. A total of 34 experimental groups were defined, each representing the 34 different subjects in our study. Replicate hybridizations for a given patient were assigned to the same experimental group. Each gene was analyzed and assigned a score that is inversely related to how intrinsic the gene's expression is across the samples analyzed. The analysis was repeated on randomized data in order to estimate a False Discovery Rate (FDR). An intrinsic score of 0.3 selected 995 genes with an FDR of 4% (39 ± 7 genes) while retaining reproducible clustering of technical replicates. Keywords: global gene expression profiling using Agilent Whole Human genome oligo arrays common reference design; we used Universal Human Reference RNA (Stratagene) as our reference for every array; For every hybridization sample RNA was always labeled with Cy3, and reference RNA was always labeled with Cy5; Microarray hybridizations were performed for 61 RNA samples from 34 subjects resulting 61 hybridizations. Fourteen replicate hybridizations were added, resulting in a total of 75 microarray hybridizations.
2010-05-26 | E-GEOD-9285 | biostudies-arrayexpress
Project description:Fibroblast were isolated from either back or forearm punch biopsies taken by Dr. Kari Connolly(UCSF) from either normal control patients, patients with a diagnosis of Systemic Sclerosis with Diffuse Scleroderma and patients with a diagnosis of morphea. Scleroderma fibroblast were grown to confluence, media was changed and the RNA prepared from the cells 48 hrs later (to avoid serum responsive genes). A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. User Defined
2005-12-20 | E-GEOD-3886 | biostudies-arrayexpress
Project description:Fibroblast were isolated from either back or forearm punch biopsies taken by Dr. Kari Connolly(UCSF) from either normal control patients, patients with a diagnosis of Systemic Sclerosis with Diffuse Scleroderma and patients with a diagnosis of morphea. Scleroderma fibroblast were grown to confluence, media was changed and the RNA prepared from the cells 48 hrs later (to avoid serum responsive genes). A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Keywords: disease_state_design
2005-12-21 | GSE3886 | GEO
Project description:We used DNA microarrays to characterize gene expression patterns in skin biopsies from individuals with a diagnosis of systemic sclerosis with diffuse scleroderma and compared those to the patterns of gene expression seen in biopsies from normal, unaffected individuals.
2013-01-30 | E-MEXP-32 | biostudies-arrayexpress
Project description:Systemic sclerosis (SSc) is characterized by vascular damage, autoimmunity and fibrosis and is associated with highly variable clinical presentation and disease course. Aberrant transforming growth factor-ß (TGF-ß) signaling via the early immediate transcription factor Egr-1 is implicated in the pathogenesis of SSc. To shed light on the role of Egr-1 in fibrosis, regulation of gene expression in human skin fibroblasts overexpressing Egr-1 was examined by genome-wide expression analysis. Over 600 genes were found to be regulated by Egr-1. The Egr-1-responsive gene signature is largely comprised of genes involved in cell proliferation, TGF-ß signaling, wound healing, extracellular matrix synthesis and vascular development. Expression of the Egr-1 responsive genes was evaluated in a microarray dataset comprising skin biopsies from 17 patients with scleroderma and six healthy controls (GEO GSE9285; PMID 18648520). The “Egr-1 responsive gene signature” was enriched in the ‘diffuse-proliferation’ subset of skin biopsies in the patients with diffuse cutaneous SSc (dcSSc), but was not associated with other forms of scleroderma, or with healthy controls. Skin biopsies from patients with scleroderma can provide more insights into the relevant pathological processes in the subset of disease and could be developed into a diagnostic tool for identifying a subset of diffuse scleroderma patients who may be responsive to Egr-1 therapy. Cultures of primary fibroblasts from neonatal foreskin treated by Egr1 and Tgfb1 were measured at 24 and 48 hours. Control samples without any treatment were also measured at the same time points. Two biological replicates per condition/time point were measured using the Illumina HumanRef-8 V2 Expression BeadChip.
2011-10-25 | E-GEOD-27165 | biostudies-arrayexpress