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
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
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
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.
Project description:There is a growing recognition of cerebrovascular contribution to neurodegenerative diseases. Cerebral amyloid angiopathy (CAA), characterised by amyloid-beta (AM-NM-2) deposits in the walls of intracerebral and leptomeningeal arteries, is evident in a majority of AlzheimerM-bM-^@M-^Ys disease patients and aged people. Here, we leverage on human pluripotent stem cells to generate vascular smooth muscle cells (SMCs) from neural crest progenitors, recapitulating brain vasculature-specific attributes in AM-NM-2 metabolism. We confirm that the lipoprotein receptor, LRP1, functions in our neural crest-derived SMCs to mediate AM-NM-2 uptake and intracellular proteasomal degradation. Hypoxia significantly compromises the ability of SMCs in AM-NM-2 clearance by suppressing LRP1 expression. This enables us to develop an assay of AM-NM-2 uptake using the neural crest-derived SMCs with hypoxia as a stress paradigm. We then tested several vascular protective compounds in a high throughput format, demonstrating the value of stem cell-based phenotypic screening for novel CAA therapeutics and drug repurposing. We adopted our previous SMC differentiation protocol (Cheung et al., 2012) to differentiate this intermediate neural crest population using platelet-derived growth factor BB (PDGF-BB, 10 ng/ml) and transforming growth factor-beta 1 (TGF-M-NM-21, 2ng/ml) for another 12 days. The resultant neural crest-derived SMCs (NCSMC) were then characterised in comparison to neuroectoderm-derived SMCs (NESMC) (Cheung et al., 2012) and positive control, human brain vascular SMCs (BVSMC).
Project description:RNA-sequencing data from human iPSC PGP1 cells (n=4) differentiated into mesoderm (day-2) (n=4) or cardiomyocytes (days 25-30) (n=4) through modulation of Wnt/β-catenin signaling as previously described (Cohn et al., 2019; Hinson et al., 2017; Hinson et al., 2015; Lian et al., 2012).
Project description:Re-submission of raw data from Geiger T et. al., Comparative proteomic analysis of eleven common cell lines reveals ubiquitous but varying expression of most proteins. Mol Cell Proteomics. 2012 Mar;11(3):M111.014050. doi: 10.1074/mcp.M111.014050. Epub 2012 Jan 25.