Epigenetic atlas of ageing mouse heart
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Illumina HiSeq 4000
ORGANISM(S): Mus musculus
SUBMITTER: Ramon Oliveira Vidal
PROVIDER: E-MTAB-8826 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Transcriptomes of hearts of 12 weeks and 18 months old mice by single-nucleus RNA-sequencing
2019-11-14 | E-MTAB-7869 | biostudies-arrayexpress
Project description:Experimental autoimmune uveitis (EAU) in Lewis rats is a model for the clinical heterogeneity of human uveitis. The autoantigens inducing disease in the rat are also seen in human disease. Depending upon the specific autoantigen used, the experimental disease course can be either monophasic or relapsing/remitting and appears to be dictated by the T cell effector phenotype elicited. We investigated potential differences between monophasic and relapsing/remitting effector T cells using transcriptomic profiling and pathway analysis. RNA samples isolated from three independent T cell lines derived from each specificity where analyzed by microarrays. Microarray data was used to obtain transcriptomic changes reflecting signal transduction pathway dysregulation. Keywords: Two group comparison Comparison of two types of cell lines of two different antigen specificities.
2010-12-01 | E-GEOD-19652 | biostudies-arrayexpress
Project description:Background. Ageing is one of the main risk factors of cardiovascular disease. Pericytes are capillary-associated mural cells involved in the maintenance and stability of the vascular network. In the heart, the consequences of ageing on cardiac pericytes are unknown. Methods. In this study, we have combined single nucleus RNA sequencing and histological analysis to determine the effects of ageing on cardiac pericytes. Furthermore, we have conducted in vivo and in vitro analysis of RGS5 loss of function and finally have perfomed pericytes-fibroblasts co-culture studies to understand the effect of RGS5 loss of function in pericytes on the neighbouring fibroblasts. Results. We showed that ageing reduces the pericyte area and coverage. Single nucleus RNA sequencing analysis further revealed that the expression of the Regulator of G protein signalling 5 (Rgs5) is reduced in old cardiac pericytes. In vivo and in vitro studies showed that the deletion of RGS5 induces morphological changes and a pro-fibrotic gene expression signature characterized by the expression of different extracellular matrix components and growth factors like TGFB2 and PDGFB in pericytes. Indeed, the culture of fibroblasts with the supernatant of RGS5 deficient pericytes induced their activation characterized by the increased expression of α smooth muscle actin in a TFGβ2 dependent mechanism. Conclusions. Our results identify RGS5 as a crucial regulator of pericyte function during cardiac ageing. The deletion of RGS5 causes cardiac dysfunction and induces myocardial fibrosis, one of the hallmarks of cardiac ageing.
2024-03-06 | E-MTAB-13841 | biostudies-arrayexpress
Project description:C57BL/6 mice were intranasally inoculated with a sublethal dose of H3N2 Influenza A virus (IAV) or with PBS (mock). At 7 days post-infection (7 dpi, corresponding to the peak inflammatory response in the lungs), IAV-infected and non-infected mice were sacrified and inguinal (SCAT) and visceral (i.e. epididymal) white adipose tissues (EWAT), without associated lymph nodes, were collected. Total RNA were extracted from these tissues and genes differential expression was determined using whole genome oligonucleotide microarrays (G4858A, 8x60k chips SurePrint G3 unrestricted GE, Agilent Technologies).
2020-05-16 | E-MTAB-7984 | biostudies-arrayexpress
Project description:The statistical validation of peptide and protein identifications in mass spectrometry proteomics is a critical step in the analytical workflow. This is particularly important in discovery experiments to ensure only confident identifications are accumulated for downstream analysis and biomarker consideration. However, the inherent nature of discovery proteomics experiments leads to scenarios where the search space will inflate substantially due to the increased number of potential proteins that are being queried in each sample. In these cases, issues will begin to arise when the machine learning algorithms that are trained on an experiment specific basis cannot accurately distinguish between correct and incorrect identifications and will struggle to accurately control the false discovery rate. Here, we propose an alternative validation algorithm trained on a curated external data set of 2.8 million extracted peakgroups that leverages advanced machine learning techniques to create a generalizable peakgroup scoring (GPS) method for data independent acquisition (DIA) mass spectrometry. By breaking the reliance on the experimental data at hand and instead training on a curated external dataset, GPS can confidently control the false discovery rate while increasing the number of identifications and providing more accurate quantification in different search space scenarios. To first test the performance of GPS in a standard experimental environment and to provide a benchmark against other methods, a novel spike-in data set with known varying concentrations was analyzed. When compared to existing methods GPS increased the nunmber of identifications by 5-18\% and was able to provide more accurate quantification by increasing the number of ratio validated identifications by 24-74\%. To evaluate GPS in a larger search space, a novel data set of 141 blood plasma samples from patients developing acute kidney injury after sepsis was searched with a human tissue spectral library (10000+ proteins). Using GPS, we were able to provide a 207-377\% increase in the number of candidate differentially abundant proteins compared to the existing methods while maintaining competitive numbers of global identifications. Finally, using an optimized human tissue library and workflow we were able to identify 1205 proteins from the 141 plasma samples and increase the number of candidate differentially abundant proteins by 70.87\%. With the addition of machine learning aided differential expression, we were able to identify potential new biomarkers for stratifying subphenotypes of acute kidney injury in sepsis. These findings suggest that by using a generalized model such as GPS in tandem with a massive scale spectral library it is possible to expand the boundaries of discovery experiments in DIA proteomics. GPS is open source and freely available on github at (\url{https://github.com/InfectionMedicineProteomics/gps})
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Project description:Background: In the diabetic heart the β-adrenergic response is altered partly by down-regulation of the β1-adrenoceptor, reducing its positive inotropic effect and up-regulation of the β3-adrenoceptor, increasing its negative inotropic effect. Statins have clinical benefits on morbidity and mortality in diabetic patients which are attributed to âpleiotropicâ effects. The objective of our study was to investigate the role of statin treatment on β-adrenergic dysfunction in diabetic rat cardiomyocytes. Methods: β-adrenergic responses were investigated in vivo (echocardiography) and ex vivo (left ventricular papillary muscles) in healthy and streptozotocin-induced diabetic rats, who were pre-treated or not by oral atorvastatin over 15 days (50 mg.kg-1.day-1). Micro-array analysis and immunoblotting were performed in left ventricular homogenates. Data are presented as mean percentage of baseline ± SD. Results: Atorvastatin restored the impaired positive inotropic effect of β-adrenergic stimulation in diabetic hearts compared with healthy hearts both in vivo and ex vivo but did not suppress the diastolic dysfunction of diabetes. Atorvastatin changed the RNA expression of 9 genes in the β-adrenergic pathway and corrected the protein expression of β1-adrenoceptor and β1/β3-adrenoceptor ratio, and multidrug resistance protein 4 (MRP4). Nitric oxide synthase (NOS) inhibition abolished the beneficial effects of atorvastatin on the β-adrenoceptor response. Conclusions: Atorvastatin restored the positive inotropic effect of the β-adrenoceptor stimulation in diabetic cardiomyopathy. This effect is mediated by multiple modifications in expression of proteins in the β-adrenergic signaling pathway, particularly through the NOS pathway.
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