Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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.

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Katsunari Makino

PROVIDER: E-GEOD-43469 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

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).

2013-01-15 | GSE43469 | GEO

Real-time quantitative PCR analysis of 88 microRNAs involved in human cell differentiation and development in normal fibroblasts stimulated with exogenous TGF-β1 and systemic sclerosis (SSc) dermal fibroblasts

Project description:Normal fibroblasts and SSc fibroblasts between the third and six subpassages were used for experiments. Normal and scleroderma fibroblasts were serum-starved for 24 hours and incubated in the presence or absence of TGF-β1 (2ng/ml) for 6 hours. Total RNA was extracted from culture cells with ISOGEN (Nippon Gene, Tokyo, Japan). MicroRNA isolation from total RNA was performed using RT2 qPCR-Grade miRNA Isolation Kit (SA Bioscience). For RT2 Profiler PCR Array (SABioscience), microRNAs were reverse-transcribed into first strand cDNA using RT2 miRNA First Strand Kit (SABiosciences). A mixture of equal amounts of cDNAs from 5 normal fibroblasts or 5 SSc fibroblasts was prepared. The cDNA was mixed with RT2 SYBR Green/ROX qPCR Master Mix and the mixture was added into a 96-well RT2 miRNA PCR Array (SABiosciences) that included primer pairs for 88 human microRNAs. Human dermal fibroblasts were obtained by skin biopsy from the affected areas (dorsal forearm) of 5 patients with diffuse cutaneous SSc and <2 years of skin thickening. Control fibroblasts were obtained by skin biopsies from 5 healthy donors. Control donors were each matched with a SSc patient for age, sex, and biopsy site.

2012-04-01 | E-GEOD-34827 | biostudies-arrayexpress

Real-time quantitative PCR analysis of 88 microRNAs involved in human cell differentiation and development in systemic sclerosis (SSc) dermal fibroblasts

Project description:Normal fibroblasts and SSc fibroblasts between the third and six subpassages were used for experiments. Total RNA was extracted from culture cells with ISOGEN (Nippon Gene, Tokyo, Japan). MicroRNA isolation from total RNA was performed using RT2 qPCR-Grade miRNA Isolation Kit (SA Bioscience). For RT2 Profiler PCR Array (SABioscience), microRNAs were reverse-transcribed into first strand cDNA using RT2 miRNA First Strand Kit (SABiosciences). A mixture of equal amounts of cDNAs from 5 normal fibroblasts or 5 SSc fibroblasts was prepared. The cDNA was mixed with RT2 SYBR Green/ROX qPCR Master Mix and the mixture was added into a 96-well RT2 miRNA PCR Array (SABiosciences) that included primer pairs for 88 human microRNAs. Human dermal fibroblasts were obtained by skin biopsy from the affected areas (dorsal forearm) of 5 patients with diffuse cutaneous SSc and <2 years of skin thickening. Control fibroblasts were obtained by skin biopsies from 5 healthy donors. Control donors were each matched with a SSc patient for age, sex, and biopsy site.

2012-01-01 | E-GEOD-34142 | biostudies-arrayexpress

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

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 ± 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

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

Cell-type specific epigenetic regulome in Systemic Sclerosis skin

Project description:Skin systemic sclerosis (Scleroderma, SSc) is an autoimmune disease while its epigenetic regulatory mechanism is not known. We surveyed the genome-wide active regulatory elements in fresh human skin cells, using Assay of Transposase Accessible Chromatin with sequencing (ATAC-seq) in longitudinal skin from healthy volunteers and affected and unaffected skin from patients with SSc. We created robust pipelines that enable accurate single molecule counting and allelic discrimination from clinical material in vivo without clonal expansion. We generated high-resolution epigenetic regulomes of 9 cell types in normal and SSc skins, and identified 106044 cell type specific accessible sites. Motif analysis of these peaks predicted known and novel transcription factors regulating each cell type. For each cell type, we discovered thousands of accessible sites are differential in normal versus unaffected and affected skin from patients with SSc. We predicted novel transcription factors regulating SSc in a cell type specific manner, and predicted the relative contributions of each cell type in driving skin SSc. ATAC-seq also revealed novel elements that escape X chromosome inactivation, which coordinately impact genes with immune function.

2020-10-20 | GSE99702 | GEO

RNA-Seq analysis of skin from bleomycin induced scleroderma murine models treated with EHP-101

Project description:Systemic sclerosis (SSc) or scleroderma is a chronic multiorgan autoimmune disease of unknown etiology characterized by vascular, immunological and fibrotic abnormalities. Several lines of evidence have shown that the endocannabinoid system (ECS) may play a role in the pathophysiology of SSc. VCE-004.8, a CBD aminoquinone derivative, is a dual PPARγ/CB2 that alleviates bleomycin (BLM)-induced skin fibrosis. Herein we report that EHP-101, an oral lipidic formulation of VCE-004.8, prevents skin and lung fibrosis and collagen accumulation in BLM challenged mice. Immunohistochemistry analysis of the skin demonstrate that EHP-101 prevents macrophage infiltration, and the expression of Tenascin C (TNC), VCAM, and the α-smooth muscle actin (SMA). In addition, a reduced expression of vascular CD31, paralleling skin fibrosis, was also prevented by EHP-101. RNAseq analysis in skin biopsies showed a clear effect of EHP-101 in the inflammatory and epithelial-mesenchymal transition transcriptomic signatures. TGF-beta regulated genes such as matrix metalloproteinase-3 (Mmp3), cytochrome b-245 heavy chain (Cybb), lymphocyte antigen 6E (Ly6e), vascular cell adhesion molecule-1 (Vcam1) and the Integrin alpha-5 (Itga5) were induced in BLM mice and repressed by EHP-101 treatment. We also intersected differentially expressed genes in EHP-101-treated mice with dataset of human scleroderma intrinsic genes and found 53 overlapped genes, including the C-C motif chemokine 2 (Ccl2) and the interleukin 13 receptor subunit alpha 1 (IL-13Ra1) genes, which have been studied as biomarkers of SSc. Altogether the results indicate that this synthetic cannabinoid qualifies as a novel compound for the management and possible treatment of scleroderma and, potentially, other fibrotic diseases.

2018-10-02 | GSE115503 | 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

2012-04-01 | GSE34827 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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