Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bulk Sequencing of CD45- cells from HD and SSc patients

ABSTRACT: 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)

ORGANISM(S): Homo sapiens

PROVIDER: GSE202649 | GEO | 2022/05/13

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Bulk Sequencing of CD45- cells from HD and SSc patients

Project description:Bulk Sequencing of CD45- cells from HD and SSc patients

| PRJNA836881 | ENA

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

CD45+ vs CD45- RCC proteome characterization

Project description:Exploration of proteome differences between CD45+ and CD45- cell types in renal cell carcinoma tumors and normal adjacent tissue patient samples.

2020-10-14 | PXD014370 | Pride

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 involved skin of systemic scleroderma (SSc), localized scleroderma (LSc) and Keloid.

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

Protaetiibacter sp. SSC-01

Project description:Protaetiibacter sp. SSC-01 Genome sequencing

| PRJNA649951 | ENA

Maternal Schistosomiasis CD45+

Project description:Maternal Schistosomiasis CD45+

| PRJNA680505 | ENA

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

Expression data from murine GVH-SSc skin

Project description:Murine GVH-SSc dorsal scapular skin samples were analyzed to determine the effect of IFNAR-1 inhibition on gene expression at day 14 and day 28. Gene expression in GVH-SSc skin from mice treated with a neutralizing IFNAR-1 antibody was compared to that in GVH-SSc skin from mice treated with isotype IgG, with skin from syngeneic graft controls as reference. For each timepoint, the following samples were analyzed: syngeneic control (n=4); GVH-SSc isotype (n=4); GVH-SSc anti-IFNAR-1 (n=4)

2016-03-16 | E-GEOD-79194 | biostudies-arrayexpress

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