Browse
Submit Data
Databases
API
Help

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).

ORGANISM(S): Homo sapiens

PROVIDER: GSE43469 | GEO | 2013/01/15

SECONDARY ACCESSION(S): PRJNA186510

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

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). 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

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

2012-04-01 | GSE34827 | GEO

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

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

2012-01-01 | GSE34142 | GEO

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

miRNA profiling in hPASMC isolated from normal and PAH patients

Project description:To identify dysregulated miRNAs in PAH HPASMC, we compared the miRNA expression profiles between normal and PAH HPASMC using the RT2 miRNA PCR Array System. Total RNA was isolated using a miRNeasy Mini Kit (Qiagen, Valencia, CA) and treated with an RNase-Free DNase Set (Qiagen). After quantification with Nanodrop 2000 spectrophotometer (ThermoScientific, Rockford, IL), miRNAs were reversely transcribed using a RT2 miRNA First Strand Kit (SABiosciences, Frederick, MD). The RT2 miRNA PCR Array System (SABiosciences) was used to study miRNA profiling in normal and PAH HPASMC. U6, SNORD44, SNORD47 and SNORD48 were used as internal controls for the profiling. HPASMC isolated from oe normal donor (C128, as control), one IPAH patient (B157), one PAH patient with Eisenmenger’s syndrome (CC-008) and one PAH patient with Scleroderma (CCF-004) were used for miRNA PCR array study. Data is normalized to the control sample. Three independent sample preparations were used for this study.

2014-02-28 | E-GEOD-55427 | biostudies-arrayexpress

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

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