Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data of vascular smooth muscle cell in patients with suspected giant cell arteritis (GCA)

ABSTRACT: There is a remodelling process which occurs in affected vessels during GCA and vascular smooth muscle cells are key cells in this process. Thickening of vessel might be responsible for vessel occlusion. We isolated vascular smooth muscle cells from temporal artery biopsies of patients with suspected GCA and used expression chips in order to identify genes up- and down-regulated in VSMC from patients with proven GCA compared to VSMC from patients with possible GCA and to VSMC from patients with another diagnosis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE63425 | GEO | 2015/11/18

SECONDARY ACCESSION(S): PRJNA267710

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

CTLA-4 pathway is instrumental in Giant Cell Arteritis

Project description:BACKGROUND: Giant Cell Arteritis (GCA) causes severe inflammation of the aorta and its branches and is characterized by intense effector T cells infiltration. The roles that immune checkpoints play in pathogenesis of GCA are still unclear.Our aim was to study the immune checkpoints interplay in GCA. METHODS: First, we used VigiBase, the WHO international pharmacovigilance database, to evaluate the relationship between GCA occurrence and immune checkpoint inhibitors (ICI) treatments. We then further dissected the role of ICI in the pathogenesis of GCA, using immunohistochemistry, immunofluorescence, transcriptomics and flow cytometry on peripheral blood mononuclear cells (PBMCs) and aortic tissues of GCA patients and appropriated controls. RESULTS: Using VigiBase, we identified GCA as a significant immune related adverse event associated with anti-CTLA-4 (Cytotoxic T-lymphocyte-associated-protein-4) but not anti-PD-1/PD-L1 treatment. We further dissected a critical role for CTLA-4 pathway in GCA by identification of the dysregulation of CTLA-4-derived gene pathways and proteins in CD4+ T cells (and specifically Tregs) present in blood and aorta of GCA patients versus controls. While Tregs were less abundant and activated/suppressive in blood and aorta of GCA versus controls, they still specifically upregulated CTLA-4. Activated and proliferating CTLA-4+ Ki-67+ Tregs from GCA were more sensitive to anti-CTLA-4 (Ipilimumab)-mediated in vitro depletion versus controls. CONCLUSIONS: We highlighted the instrumental role of CTLA-4 immune checkpoint in GCA which provides a strong rationale for targeting this pathway.

2023-07-03 | GSE236367 | GEO

Single-cell RNA sequencing on peripheral blood cells of patients with giant cell arteritis

Project description:Vasculitis is characterized by the inflammation of blood vessels. In patients with giant cell arteritis (GCA) large- to medium-sized vessels are affected. Single-cell RNA sequencing was performed on GCA patients and healthy controls (HC) to study the transcriptome of peripheral blood mononuclear cells of patients and controls.

2022-03-22 | GSE198891 | GEO

CD4 T cells in Giant Cell Arteritis (scRNA-Seq)

Project description:CD4 T cells are important in GCA

2023-09-08 | GSE224527 | GEO

CD4 T cells in Giant Cell Arteritis (RNA-Seq)

Project description:CD4 T cells are important in GCA

2023-09-08 | GSE224526 | GEO

Use of High-plex Data Provides Novel Insights into the Temporal Artery Processes of Giant Cell Arteritis

Project description:To identify the key coding genes underlying the biomarkers and pathways associated with giant cell arteritis (GCA), we performed in situ spatial profiling of molecules involved in the temporal arteries of GCA patients and controls

2023-08-24 | GSE237441 | GEO

Gene expression changes in brain vascularture in Notch3 knockout mice

2015-02-18 | GSE55203 | GEO

Gene expression changes in brain vascularture in Notch3 knockout mice

Project description:Vascular smooth muscle cells (VSMC) are important for contraction, blood flow distribution and regulation of blood vessel diameter, but to what extent they contribute to the integrity of blood vessels and blood-brain barrier function is less well understood. In this report, we explored the impact of the progressive loss of VSMC in the Notch3-/- mouse on blood vessel integrity in the central nervous system To explore the molecular consequences of the VSMC phenotype in Notch3-/- mice, we performed genome-wide transcriptional profiling of the brain vasculature in mutants and littermate controls using Affymetrix Mouse Genome 430 2.0 Array. Three Notch3 knockout and three littermate control mice at age of 2 months were used to profile the transcriptomes. Total RNA was extracted from cerebral and cerebellar microvascular fragments and hyrbridized separately on the Mouse Genome 430 2.0 Array according to standard procedures.

2015-02-18 | E-GEOD-55203 | biostudies-arrayexpress

Targeted RNA sequencing of archived giant cell arteritis temporal artery biopsies reveals viral signatures

Project description:Formalin-fixed, paraffin-embedded (FFPE) temporal artery sections from GCA subjects were stained for VZV antigen. Samples testing positive (VZV+) and negative (VZV-) from both GCA and control subjects without GCA were analyzed by targeted RNA sequencing of the whole-human transcriptome (BioSpyder TempO-Seq™).

2021-05-20 | GSE174694 | GEO

Long non-coding RNA SMILR regulates genes involved in cytokinesis in human vascular smooth muscle cell

Project description:In response to blood vessel wall injury, aberrant proliferation of vascular smooth muscle cells causes pathological remodelling. The controlling mechanisms involved are, however, not completely understood. We recently showed that the intergenic human, poorly-conserved long non-coding RNA, SMILR, promotes vSMC proliferation. Here, using deep RNA-sequencing of vSMCs with SMILR knockdown or overexpression, we identified an interconnected cell cycle network controlled by SMILR. SMILR inhibition led to vSMC binucleation and mitotic arrest.

2019-08-02 | GSE117608 | GEO

Methylome and transcriptome profiling of giant cell arteritis monocytes reveals novel pathways involved in disease pathogenesis and molecular response to glucocorticoids [array]

Project description:Giant cell arteritis (GCA) is a complex systemic vasculitis mediated by the interplay between both genetic and epigenetic factors. Monocytes are crucial players of the inflammation occurring in GCA. Therefore, characterization of the monocyte methylome and transcriptome in GCA would be helpful to better understand disease pathogenesis. We performed an integrated epigenome- and transcriptome-wide association study in CD14+ monocytes from 82 patients with GCA, cross-sectionally classified into three different clinical status (active, in remission with or without glucocorticoid (GC)-treatment), and 31 healthy controls. We identified a global methylation and gene expression dysregulation in GCA monocytes. Specifically, monocytes from active patients showed a more pro-inflammatory phenotype compared with healthy controls and patients in remission. In addition to inflammatory pathways known to be involved in active GCA, such as response to interleukin (IL)-6 and IL-1, we identified a significant number of chemokines, such as CCRL2, and integrins. Furthermore, monocytes from patients in remission with treatment showed downregulation of genes involved in inflammatory processes as well as overexpression of GC receptor-target genes. Finally, we identified changes in DNA methylation correlating with alterations in expression levels of genes with a potential role in GCA pathogenesis, such as ITGA7 and CD63, as well as genes mediating the molecular response to GC, including FKBP5, ETS2, ZBTB16, and ADAMTS2. Our results revealed profound alterations in the methylation and transcriptomic profiles of monocytes from GCA patients, uncovering novel genes and pathways involved in GCA pathogenesis and in the molecular response to GC treatment.

2022-06-28 | GSE201752 | GEO

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