Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of Disease-relevant, Sex-based Proteomic Differences in iPSC-derived Vascular Smooth Muscle

ABSTRACT: The prevalence of cardiovascular disease varies with sex, and the impact of intrinsic sex-based differences on vasculature is not well understood. Animal models can provide important insight into some aspects of human biology, however not all discoveries in animal systems translate well to humans. To explore the impact of chromosomal sex on proteomic phenotypes, we used iPSC-derived vascular smooth muscle cells from healthy donors of both sexes to identify sex-based proteomic differences and their possible effects on cardiovascular pathophysiology. Our analysis confirmed that differentiated cells have a proteomic profile more similar to healthy primary aortic smooth muscle than iPSCs. We also identified sex-based differences in iPSC-derived vascular smooth muscle in pathways related to ATP binding, glycogen metabolic process, and cadherin binding as well as multiple proteins relevant to cardiovascular pathophysiology and disease. Additionally, we explored the role of autosomal and sex chromosomes in protein regulation, identifying that proteins on autosomal chromosomes also show sex-based regulation that may affect the protein expression of proteins from autosomal chromosomes. This work supports the biological relevance of iPSC-derived vascular smooth muscle cells as a model for disease, and further exploration of the pathways identified here can lead to the discovery of sex-specific pharmacological targets for cardiovascular disease.

INSTRUMENT(S): Thermo Scientific Orbitrap Fusion Lumos Tribrid

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Sarah J Parker

PROVIDER: MSV000095417 | MassIVE | Tue Jul 23 10:03:00 BST 2024

SECONDARY ACCESSION(S): PXD054151

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Identification of a novel risk factor for intracranial aneurysms in ADPKD using iPSC models [Agilent]

Project description:Cardiovascular complications are the leading cause of death in autosomal dominant polycystic kidney disease (ADPKD), and intracranial aneurysm (ICA) causing subarachnoid hemorrhage is among the most serious complications. The diagnostic and therapeutic strategies for ICAs in ADPKD have not been fully established. We here generated induced pluripotent stem cells (iPSCs) from seven ADPKD patients, including four with ICAs. The vascular cells differentiated from ADPKD-iPSCs showed altered Ca2+ entry and gene expression profiles compared with those from control-iPSCs. We found that the expression level of a metalloenzyme gene, matrix metalloproteinase (MMP) 1, was specifically elevated in the iPSC-derived endothelia from ADPKD patients with ICAs. Furthermore, we confirmed a statistically significant correlation between the serum MMP1 levels and the development of ICAs in 354 ADPKD patients, indicating that the serum MMP1 levels may be a novel risk factor and become more beneficial when combined with other risk factors. These results suggest that cellular disease models with ADPKD-specific iPSCs can be used to study the disease mechanisms and to identify novel disease-related molecules or risk factors. The gene expression profiles of vascular endothelia and smooth muscle cells derived from control- and ADPKD-iPSCs were analyzed. Seven control-iPSC derived endothelial cells (ECs), seven ADPKD-iPSC derived ECs, ten control-iPSC derived vascular smooth muscle cells (SMCs), and seven ADPKD-iPSC derived SMCs were analyzed.

2016-08-04 | E-GEOD-74451 | biostudies-arrayexpress

Identification of a novel risk factor for intracranial aneurysms in ADPKD using iPSC models [Affymetrix]

Project description:Cardiovascular complications are the leading cause of death in autosomal dominant polycystic kidney disease (ADPKD), and intracranial aneurysm (ICA) causing subarachnoid hemorrhage is among the most serious complications. The diagnostic and therapeutic strategies for ICAs in ADPKD have not been fully established. We here generated induced pluripotent stem cells (iPSCs) from seven ADPKD patients, including four with ICAs. The vascular cells differentiated from ADPKD-iPSCs showed altered Ca2+ entry and gene expression profiles compared with those from control-iPSCs. We found that the expression level of a metalloenzyme gene, matrix metalloproteinase (MMP) 1, was specifically elevated in the iPSC-derived endothelia from ADPKD patients with ICAs. Furthermore, we confirmed a statistically significant correlation between the serum MMP1 levels and the development of ICAs in 354 ADPKD patients, indicating that the serum MMP1 levels may be a novel risk factor and become more beneficial when combined with other risk factors. These results suggest that cellular disease models with ADPKD-specific iPSCs can be used to study the disease mechanisms and to identify novel disease-related molecules or risk factors. The gene expression profiles of vascular endothelia and smooth muscle cells derived from ADPKD-iPSCs were analyzed. Seven ADPKD-iPSC derived ECs, and seven ADPKD-iPSC derived SMCs were analyzed.

2016-08-04 | E-GEOD-74452 | biostudies-arrayexpress

Single cell sequencing of mouse vein grafts

Project description:Smooth muscle cells play a critical role in multiple cardiovascular diseases. Sca1+ cells are believed to be smooth muscle progenitors. However, the exact identity and the role of Sca1+ cells in vascular regeneration remains unclear.Here we performed single cell RNA sequencing to identify the mechanism underlying Sca1+ cells differentiate into smooth muscle cells.

2023-04-12 | GSE226135 | GEO

Next Generation Sequencing Analysis of human pluripotent stem cells derived endothelial and smooth muscle cells

Project description:Purpose: global gene expression profiling of H1 and iPSC derived endothelial cells (ECs) and smooth mucle cells (SMCs). Methods: SMART-seq2 amplified polyA RNA from undifferentiated H1 cells and iPSCs (in biological duplicates), cardiovascular progenitor cells, endothelial cells (ECs) and smooth muscle cells (SMCs) Results: Insulin free condition promoted cardiovascular mesoderm, endothelial and smooth muscle differentiation. Conclusions: the gene expression profiles of ECs and SMCs differentiated in insulin free medium confirmed that they are true ECs and SMCs.

2021-05-20 | GSE114776 | GEO

Conversion of human fibroblasts into vascular cells (methylation)

Project description:We report a novel technique to reprogram human fibroblasts into endothelial and smooth muscle cells using partial iPSC reprogramming and chemically defined media. Using appropriate media conditions for differentiation of human pluripotent cells to CD34+ vascular progenitor cells, we show that temporary expression of pluripotent transcription factors and treatment with chemically-defined media, will induce differentiation of human fibroblasts to CD34+ vascular progenitor cells. Sorted CD34+ cells can then be directed to differentiate into vascular endothelial cells expressing a variety of smooth muscle markers. We have assessed the global DNA methylation (Illumina Infinium HD 450K DNA methylationBeadChips) and transcriptional (Illumina HT12v4 Gene Expression Bead Array) profiles of transdifferentiated endothelial cells and smooth muscle, human embryonic stem cell (hESC) and human induced pluripotent stem cell (hiPSC) differentiated CD34+ angioblasts, hESCs, hiPSC, primary smooth muscle and primary human umbilical vein endothelial cells using microarrays.

2012-09-18 | E-GEOD-40909 | biostudies-arrayexpress

Conversion of human fibroblasts into vascular cells (gene expression)

Project description:We report a novel technique to reprogram human fibroblasts into endothelial and smooth muscle cells using partial iPSC reprogramming and chemically defined media. Using appropriate media conditions for differentiation of human pluripotent cells to CD34+ vascular progenitor cells, we show that temporary expression of pluripotent transcription factors and treatment with chemically-defined media, will induce differentiation of human fibroblasts to CD34+ vascular progenitor cells. Sorted CD34+ cells can then be directed to differentiate into vascular endothelial cells expressing a variety of smooth muscle markers. We have assessed the global DNA methylation (Illumina Infinium HD 450K DNA methylationBeadChips) and transcriptional (Illumina HT12v3 and HT12v4 Gene Expression Bead Array) profiles of transdifferentiated endothelial cells and smooth muscle, human embryonic stem cell (hESC) and human induced pluripotent stem cell (hiPSC) differentiated CD34+ angioblasts, hESCs, hiPSC, primary smooth muscle and primary human umbilical vein endothelial cells using microarrays.

2012-09-18 | E-GEOD-40793 | biostudies-arrayexpress

Gene expression profiling using microarray in rat aortic vascular smooth muscle cells in response to Angiotensin II stimulation

Project description:Increased level of the hormone angiotensin II (AngII) contributes to the development of several cardiovascular issues, including atherosclerosis, vascular remodeling, and hypertension by altering gene expression. In our study, we use microarray analysis to investigate the effect of AngII on primary vascular smooth muscle cells derived from rat thoracic aorta. We have identified genes upregulated in response to AngII and are investigating their contribution to these cardiovascular conditions.

2024-11-28 | E-MTAB-14626 | biostudies-arrayexpress

Angiotensin II regulated gene expression in rat primary vascular smooth muscle cells (VSMC)

Project description:Atherosclerosis is one of the causative factors leading to the development of cardiovascular disease. Angiotensin II (AngII) is implicated in the pathological processes underlying atherosclerosis. We investigated the AngII regulated gene expression in primary vascular smooth muscle cells (VSMC). VSMCs were isolated from the thoracic aorta of male Wistar rats. Serum deprived VSMCs were stimulated with 100 nM AngII or vehicle for 2 hours, then RNA-Sequencing was carried out.

2022-07-03 | E-MTAB-11863 | biostudies-arrayexpress

Modeling CADASIL vascular pathologies with patient-derived induced pluripotent stem cells

Project description:Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a rare hereditary cerebrovascular disease caused by a NOTCH3 mutation. However, the underlying cellular and molecular mechanisms remain unidentified. Here, we generated non-integrative induced pluripotent stem cells (iPSCs) from fibroblasts from a CADASIL patient harboring a heterozygous NOTCH3 mutation (c.3226C>T, p.R1076C). Vascular smooth muscle cells (VSMCs) differentiated from CADASIL-specific iPSCs showed transcriptional changes and disease-associated cellular dysfunction, including activation of the NF-kB signaling pathway, cytoskeleton disorganization, and excessive cell proliferation. In comparison, these abnormalities were not observed in vascular endothelial cells (VECs) derived from the patient’s iPSCs. Importantly, the abnormal upregulation of NF-kB target genes in CADASIL VSMCs was diminished by a NOTCH pathway inhibitor, providing a potential therapeutic strategy for CADASIL. Overall, using this iPSC-based disease model, our study identified clues for studying the disease mechanisms of CADASIL and developing treatment strategies for this disease.

2018-12-31 | GSE124500 | GEO

Project description:Sexual dimorphism in mammals is mostly attributable to sex-related hormonal differences in fetal and adult tissues; however, this may not be the sole determinant. Though genetically-identical for autosomal chromosomes, male and female preimplantation embryos could display sex-specific transcriptional regulation which can only be attributted to the differences in sexual chromosome dosage. We used microarrays to analyze sex-related transcriptional differences at the blastocyst stage.

2010-02-24 | GSE17921 | 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