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Gene Expression Profiling of Scleroderma Skin

ABSTRACT: 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

ORGANISM(S): Homo sapiens

PROVIDER: GSE9285 | GEO | 2008/07/15

SECONDARY ACCESSION(S): PRJNA102919

REPOSITORIES: GEO

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Gene Expression Profiling of Scleroderma Skin

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 Â± 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

Technical replicates to determine array-to-array reproducibility.

Project description:Technical replicates, consisting of four independent hybridizations of the same labelled cRNA, were performed to determine array-to-array reproducibility. After normalization, correlation index between all replicates exceeded 98%.

2009-02-20 | GSE12118 | GEO

Ubiquitin Proteomics Analysis of Systemic Sclerosis Lung Fibroblasts with or without KLHL42 knockdown

Project description:Systemic scleroderma (SSc) is an autoimmune disease which results in fibrotic production in the lung. Resultant SSC-pulmonary fibrosis is the main cause of mortality among SSc patients. From high throughput RNAi screening, we uncovered the ubiquitin E3 ligase KLHL42 as a potential pro-fibrotic mediator of TGFb-dependent fibrotic signaling in primary SSc lung fibroblasts. In this analysis, we sought to uncover putative substrates for KLHL42 by comparing SSc lung fibroblasts with control or KLHL42 siRNA prior to TGFb-treatment, lysis, and TUBE precipitation. The resultant pull-down was analyzed with LC-MS/MS.

2020-01-14 | MSV000084800 | MassIVE

Differential gene expression in Lithium chloride (LiCl) treated Scleroderma (SSc) skin fibroblasts

Project description:Human scleroderma skin derived fibroblast were treated with LiCL. This is a study of differential gene expression between LiCl treated SSc group and untreated SSc group.

2024-02-03 | GSE254716 | GEO

Fli1 downregulation in scleroderma myeloid cells has profibrotic and proinflammatory effects

Project description:Scleroderma is an autoimmune connective tissue disease characterized by immune dysregulation, vasculopathy and fibrosis. We have previously demonstrated that low Fli1 expression in scleroderma fibroblasts and endothelial cells plays an important role in SSc pathogenesis. Cells of myeloid and lymphoid origin also express Fli1 and are dysregulated in patients with SSc, playing key roles in disease pathogenesis However, a role for immune Fli1 in SSc has not yet been described. Our aim was to elucidate whether Fli1 contributes to the immune dysregulation seen in scleroderma. Comparison of the expression of Fli1 in monocytes, B- and T-cell fractions of PBMCs isolated from scleroderma patients and healthy controls, showed an increase in Fli1 levels in monocytes. We used siRNA transfected human myeloid cells and mouse peritoneal macrophages obtained from Fli1flox/floxLysMCre+/+ mice, and found that markers of alternative macrophage activation were increased with Fli1 deletion. Coculture of Fli1-deficient myeloid cells and primary human or mouse fibroblasts resulted in a potent induction of collagen type I, independent of TGFβ upregulation. We next analyzed global gene expression profile in response to Fli1 downregulation, to gain further insight into the molecular mechanisms of this process and to identify differentially expressed genes in myeloid cells. Of relevance to SSc, the top most upregulated pathways were hallmark IFN-ɣ and IFN-α response. Additionally, several genes previously linked to SSc pathogenesis and fibrosis in general were also induced, including MCP-1, MCP-3, MMP12, and CXCL10. ANKRD1, a profibrotic transcription co-regulator was the top upregulated gene in our array. Our results show that Fli1-deficient myeloid cells share key features with cells from SSc patients, with higher expression of profibrotic markers and activation of interferon responsive genes, thus suggesting that low Fli1 may contribute to SSc pathogenesis.

2020-06-09 | GSE144625 | GEO

Transcriptional analysis of oxidative-stressed bean nodules elicited by Rhizobium etli expressing an heterologous globin (VHb)

Project description:A wide range of environmental stresses lead to an elevated production of reactive oxygen species (ROS) in plant cells thus resulting in oxidative stress. The biological nitrogen fixation in the legume - Rhizobium symbiosis is at high risk of damage from oxidative stress. Common bean (Phaseolus vulgaris) active nodules exposed to the herbicide Paraquat (1,1 '-Dimethyl-4, 4'-bipyridinium dichloride hydrate) that generates ROS accumulation, showed a reduced nitrogenase activity and ureide content. We analyzed the global gene response of stressed nodules using the Bean CombiMatrix Custom Array 90K, that includes probes from some 30,000 expressed sequence tags (EST). The experimental design, based on circular hybridizations, included four conditions as, with two independent biological replicates and three technical replicates for each conditions. A total of 2418 differentially expressed genes (DEG) were identified among the different combinations. Our results showed good correspondence among both the GO term and the MapMan enrichment analyses highlighting DEG from PQ-treated nodules assigned to the functional super-categories: trans-membrane transport, hormone signal transduction, stress response, and regulation.

2016-06-15 | GSE83324 | GEO

SitkaSpruce_FB3-425_Bark_UntreatedControl_SelfHybridization

Project description:As part of a larger conifer genomics project, we developed a new 21.8K cDNA microarray containing 21,843 spotted ESTs from spruce (Picea spp.). To evaluate the performance of the array we conducted four technical replicate self-self hybridizations using untreated control bark RNA pooled from four biological replicates. The objectives were to determine: 1) the linear dynamic range of expression detection of the array; 2) the level of non-specific hybridization to negative control elements on the array; and 3) the overall technical reproducibility of the array. Keywords: Array performance evaluation using self-self hybridizations.

2008-06-01 | GSE8363 | GEO

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

A profibrotic gene expression program induced by Egr-1 in skin fibroblasts

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

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Project description:Skin cells were depleted from CD45+ and dead cells using microBeads, purity 95%. CD45- cells were RNA sequenced (bulk) to find differentially regulated genes between healthy donors and scleroderma patients (SSc)

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