Effect of depletion of GPRC5C from smooth muscle cells (SMC) on gene expression in mice
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1007688 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR25715413.fastq.gz | Fastqsanger.gz | |||
| SRR25715414.fastq.gz | Fastqsanger.gz | |||
| SRR25715415.fastq.gz | Fastqsanger.gz | |||
| SRR25715416.fastq.gz | Fastqsanger.gz | |||
| SRR25715417.fastq.gz | Fastqsanger.gz |
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Project description:To investigate the consequence of Gprc5c knocking out in SMC on mRNA transcriptioinal level, EGFP-expressing smooth muscle cells were sorted by FACS from skeletal muscle vasculature of tamoxifen-induced control and iSM-G5C-KOs carrying the mTmG reporter strain.
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Project description:We used a smooth muscle cell-specific mineralocorticoid receptor knockout mouse to generate young and aged MR-intact and SMC-MR-KO aortic miRNA to examine the effect of age on vascular miRNA alterations in the presence and absence of SMC-MR. For more information about the mouse model see: McCurley, A et al. Direct regulation of blood pressure by smooth muscle cell mineralocorticoid receptors. Nat Med. 2012 Sep;18(9):1429-33 Total miRNA was extracted from young (3-4 mo) and aged male (12mo) MR-intact and SMC-MR-KO mice to investigate aging-induced alterations in vascular miRNA expression
2016-07-29 | E-GEOD-84960 | biostudies-arrayexpress
Project description:Smooth muscle cell TGFβ signaling is one of the primary drivers of smooth muscle cell maturation. Inhibition of smooth muscle cell TGFβ signaling in hyperlipidemic mice induces vessel wall inflammation and vessel wall dilation/dissection and leads aortic aneurysm. We performed scRNAseq method to examine smooth muscle cell gene expression profile using Apoe and SMC specific TGFbR2 KO in Apoe background mice.
2020-03-01 | GSE141031 | GEO
Project description:We used a smooth muscle cell-specific mineralocorticoid receptor knockout mouse to generate young and aged MR-intact and SMC-MR-KO aortic mRNA to examine the effect of age on vascular mRNA alterations in the presence and absence of SMC-MR. For more information about the mouse model see: McCurley, A et al. Direct regulation of blood pressure by smooth muscle cell mineralocorticoid receptors. Nat Med. 2012 Sep;18(9):1429-33
2017-08-10 | GSE102397 | GEO
Project description:We used a smooth muscle cell-specific mineralocorticoid receptor knockout mouse to generate young and aged MR-intact and SMC-MR-KO aortic miRNA to examine the effect of age on vascular miRNA alterations in the presence and absence of SMC-MR. For more information about the mouse model see: McCurley, A et al. Direct regulation of blood pressure by smooth muscle cell mineralocorticoid receptors. Nat Med. 2012 Sep;18(9):1429-33
2016-07-29 | GSE84960 | GEO
Project description:The development of atherosclerosis, a chronic disease characterized by the buildup of plaque in arterial walls, involves the contribution of vascular smooth muscle cells (SMCs) and SMC-derived cells. To better understand the specific role of SMCs in atherosclerosis, a transgenic mouse line expressing EGFP-tagged ribosomal protein L10a (EGFP-L10a) under the SMC-specific αSMA promoter (SMCTRAP mice) was developed, enabling translating ribosome affinity purification followed by sequencing (TRAP-Seq). SMCTRAP mice were crossed with an atherosclerosis model (SMCTRAP-Athero mice). Using TRAP-Seq and bulk RNA-Seq, the aortas of 15-month-old SMCTRAP and SMCTRAP-Athero mice were analyzed to identify atherosclerosis-induced changes in the profiles of SMC ribosome-associated RNA. The results showed high enrichment of known SMC-specific genes in the TRAP fraction, indicating the specificity of the construct. The intersection of SMC-specific genes identified by TRAP-Seq, and atherosclerosis-induced genes identified by bulk RNA-Seq revealed the contribution of SMCs to the expression of several known disease-induced genes, as well as the identification of previously unlinked genes in atherosclerosis that warrant further investigation. These findings provide new insights into the role of SMCs in atherosclerosis and may offer potential targets for future treatments of this chronic disease.
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Project description:Tissue Factor Pathway Inhibitor-2 is Induced by Fluid Shear Stress in Vascular Smooth Muscle Cells and Affects Cell Proliferation and Survival Introduction: Vascular smooth muscle cells (SMCs) are exposed to fluid shear stress (FSS) after interventional procedures such as balloon-angioplasty. Whereas the effects of hemodynamic forces on endothelial cells are explored in detail, the influence of FSS on smooth muscle cell function is poorly characterized. Here, we investigated the effect of FSS on SMC gene expression and function. Methods: Laminar FSS of arterial level (14 dynes/cm2) was applied to SMC cultures for 24 h in a parallel-plate flow chamber. The effect of FSS on gene expression was first screened with microarray technology and the results further verified by real time (RT) PCR and immunoblotting. Protein expression was also studied in the rat carotid artery after balloon-injury and DNA synthesis and apoptosis was examined in SMCs in vitro. Results: Microarrays identified tissue-pathway inhibitor-2 (TFPI-2) as the most differentially expressed gene by FSS in cultured SMCs. The regulatory effect of FSS on the expression of TFPI-2 was confirmed by RT-PCR and immunobloting demonstrating a more than 400-fold increase in TFPI-2 expression in SMCs exposed to FSS compared to static controls and a consistent upregulation at the protein level. Functionally, SMC proliferation was decreased by FSS and recombinant TFPI-2 was found to inhibit SMC proliferation and induce SMC apoptosis as indicated by activation of caspase-3. In vivo, TFPI-2 expression was found to be up-regulated 5, 10 and 20 h after rat carotid balloon-injury and immunohistochemistry demonstrated TFPI-2 protein in luminal SMCs exposed to FSS in rat carotid intimal hyperplasia 10 days after balloon-injury. Conclusion: FSS strongly influence gene expression in cultured SMCs and induce TFPI-2 expression, which is also expressed after rat carotid balloon injury in luminal SMCs exposed to FSS. Functionally, TFPI-2 may play an important role in vessel wall repair by regulating SMC proliferation and survival. Further studies are needed to elucidate the mechanisms by which TFPI-2 control SMC function. 3 x 2 samples from a paired fluid shear stress experiment on smooth muscle cells.
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Project description:Many different subsets of smooth muscle cells (SMC) are present in advanced atherosclerotic plaque. We used single cell sequencing to interrogate the impact of MCP1 made by Lgals+ smooth muscle cells on smooth muscle and immune cell subsets in advanced atherosclerotic plaque
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Project description:Aortic smooth muscle cell (SMC) phenotype modulation is a central feature of cell-mediated pathology in Marfan syndrome aortic aneurysm and Klf4 is proposed to contribute to this process. We generated mice with smooth muscle cell-specific Klf4 deletion using an Myh11-creERT2 transgene, induced deletion at 8 weeks and performed single cell RNA sequencing at 24 weeks on whole aortic root tissues.
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Project description:Thiele2013 - Smooth muscle smooth muscle cells
The model of smooth muscle smooth muscle cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110025
.
To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
to CC0 Public Domain Dedication
for more information.
2005-01-01 | MODEL1310110025 | BioModels