Expression data from progeroid smooth muscle cells
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ABSTRACT:
PROVIDER: PRJNA423278 | ENA |
REPOSITORIES: ENA
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Project description:Hutchinson-Gilford Progeria syndrome (HGPS or Progeria) is a rare and fatal genetic condition, characterized by premature aging symptoms in children and it affects approximately 1 in 4-8 million newborns. Individuals with HGPS appear to show aging-related phenotypes at a much faster rate than normal, leaving young children with the appearance and health conditions of an aged individual. This syndrome causes changes in various organs and systems such as the skin, skeleton, hair, body fat and cardiovascular system. One of the hallmarks of the disease is the loss of SMCs in the medial layer of large arteries with replacement by collagen and extracellular matrix, and in many cases calcification. We used microarrays to detail the global programme of gene expression underlying smooth muscle cell loss and identified distinct classes of up- and down-regulated genes during this process.
2020-05-26 | GSE108368 | GEO
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,
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.
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
Project description:Expression data from aortic smooth muscle cells (AoSMCs) from mouse
| PRJNA559492 | ENA
Project description:Persistent severe asthma is associated with hyper-contractile airways and structural changes in the airway wall, including an increased airway smooth muscle (ASM) mass. This study used gene expression profiles from asthmatic and healthy airway smooth muscle cells grown in culture to identify novel receptors and pathways that potentially contributed to asthma pathogenesis. We used microarrays to compare the gene expression between asthmatic and healthy airway smooth muscle cells to understand the underlying pathway contributing the differences in cellular phenotypes
2015-01-31 | GSE63383 | GEO
Project description:Persistent severe asthma is associated with hyper-contractile airways and structural changes in the airway wall, including an increased airway smooth muscle (ASM) mass. This study used gene expression profiles from asthmatic and healthy airway smooth muscle cells grown in culture to identify novel receptors and pathways that potentially contributed to asthma pathogenesis. We used microarrays to compare the gene expression between asthmatic and healthy airway smooth muscle cells to understand the underlying pathway contributing the differences in cellular phenotypes Asthmatic airway smooth muscle cells (ASMC) are intrinsically different and have a differential transcriptional response to pro-fibrotic, pro-proliferation and pro-inflammatory stimuli than ASMC from healthy patients. We sought to identify genes that are differentially expressed between asthmatic and healthy ASMC under various stimulations which mimic the asthmatic airways. To this end, we obtained human ASMC from bronchial biopsies and explanted lungs from doctor diagnosed asthmatic patients (n=3) and healthy controls (n=3). The ASMC were then grown in culture and treated with pro-fibrotic (Transforming growth factor beta (TGFβ)), pro-proliferation (Fetal Bovine Serum (FBS)) and pro-inflammatory stimuli (Interleukin-1 beta (IL-1β)) for 8 hours. Gene expression was then evaluated using Affymetrix Human Gene 1.0ST arrays.
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Project description:Hutchinson-Gilford Progeria Syndrome (HGPS) is a premature aging disease in children that leads to early death. Smooth muscle cells (SMCs) are the most affected cells in HGPS patients, although the reason for such vulnerability remains poorly understood. In this work, we developed a chip formed from HGPS-SMCs that were generated from induced pluripotent stem cells (iPSCs) to study their vulnerability to flow shear stress. HGPS-iPSC SMCs cultured under arterial flow conditions detached from the chip after a few days of culture; this process was mediated by the up-regulation of metalloprotease 13 (MMP13). Importantly, double mutant LmnaG609G/G609GMmp13-/- mice or LmnaG609G/G609GMmp13+/+ mice treated with a MMP inhibitor showed lower SMC loss in the aortic arch than controls. MMP13 up-regulation appears to be mediated by the up-regulation of heparan sulfate, a glycocalyx component. Our results offer a new platform for developing treatments for HGPS patients that may complement previous pre-clinical and clinical treatments.
2020-08-24 | PXD011652 | Pride
Project description:Hutchinson-Gilford Progeria Syndrome (HGPS) is a premature aging disease in children that leads to early death. Smooth muscle cells (SMCs) are the most affected cells in HGPS patients, although the reason for such vulnerability remains poorly understood. In this work, we developed a chip formed from HGPS-SMCs that were generated from induced pluripotent stem cells (iPSCs) to study their vulnerability to flow shear stress. HGPS-iPSC SMCs cultured under arterial flow conditions detached from the chip after a few days of culture; this process was mediated by the up-regulation of metalloprotease 13 (MMP13). Importantly, double mutant LmnaG609G/G609GMmp13-/- mice or LmnaG609G/G609GMmp13+/+ mice treated with a MMP inhibitor showed lower SMC loss in the aortic arch than controls. MMP13 up-regulation appears to be mediated, at least in part, by the up-regulation of glycocalyx. Our results offer a new platform for developing treatments for HGPS patients that may complement previous pre-clinical and clinical treatments.
2020-08-24 | PXD019316 | Pride
Project description:Lung smooth muscle cells are including bronchiolar and vascular smooth muscle cells. In order to get adult lung smooth muscle cells, we use transgenic mouse line with smooth muscle actin creERT2, which is a transgenic cre recombinase in Acta2 (contractile smooth muscle cell gene). This mouse line also contains a CAG promoter-driven red fluorescent protein variant (tdTomato) - all inserted into the ROSA26 locus. This mouse line express robust tdTomato fluorescence following cre-mediated recombination after Tamoxifen injection.
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Project description:The interactome of humanBAG3 phosphosite mutant variants in rat smooth muscle cells
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