Novel mirnas participate in Atherosclerosis through inflammation and apoptosis pathways (Mouse miRNA)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA565966 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Atherosclerosis (AS), which is a chronic inflammatory disease, is the leading cause of death worldwide. Although several miRNAs have been reported to participate in regulating the progression of AS, there is a lack of systematic study of miRNA profile in AS. We combined miRNA and mRNA array analysis to study the global miRNAs in two AS models-oxidative LDL treated human aortic endothelial cells (HAEC) and high fat diet fed ldlr W483Stop knockin mouse. Novel miRNAs were identified to function in AS through inflammation and apoptosis pathways.
2020-09-22 | GSE137582 | GEO
Project description:Atherosclerosis (AS), which is a chronic inflammatory disease, is the leading cause of death worldwide. Although several miRNAs have been reported to participate in regulating the progression of AS, there is a lack of systematic study of miRNA profile in AS. We combined miRNA and mRNA array analysis to study the global miRNAs in two AS models-oxidative LDL treated human aortic endothelial cells (HAEC) and high fat diet fed ldlr W483Stop knockin mouse. Novel miRNAs were identified to function in AS through inflammation and apoptosis pathways.
2020-09-22 | GSE137581 | GEO
Project description:Atherosclerosis (AS), which is a chronic inflammatory disease, is the leading cause of death worldwide. Although several miRNAs have been reported to participate in regulating the progression of AS, there is a lack of systematic study of miRNA profile in AS. We combined miRNA and mRNA array analysis to study the global miRNAs in two AS models-oxidative LDL treated human aortic endothelial cells (HAEC) and high fat diet fed ldlr W483Stop knockin mouse. Novel miRNAs were identified to function in AS through inflammation and apoptosis pathways.
2020-09-22 | GSE137580 | GEO
Project description:Atherosclerosis (AS), which is a chronic inflammatory disease, is the leading cause of death worldwide. Although several miRNAs have been reported to participate in regulating the progression of AS, there is a lack of systematic study of miRNA profile in AS. We combined miRNA and mRNA array analysis to study the global miRNAs in two AS models-oxidative LDL treated human aortic endothelial cells (HAEC) and high fat diet fed ldlr W483Stop knockin mouse. Novel miRNAs were identified to function in AS through inflammation and apoptosis pathways.
2020-09-22 | GSE137578 | GEO
Project description:Novel mirnas participate in Atherosclerosis through inflammation and apoptosis pathways (HAEC miRNA)
| PRJNA565964 | ENA
Project description:Novel mirnas participate in Atherosclerosis through inflammation and apoptosis pathways (Mouse mRNA)
| PRJNA565965 | ENA
Project description:Novel mirnas participate in Atherosclerosis through inflammation and apoptosis pathways (HAEC mRNA)
| PRJNA565963 | ENA
Project description:Adipose tissue inflammation and atherosclerosis are the main mechanisms behind type 2 diabetes and cardiovascular disease respectively, the major risks associated with the metabolic syndrome. Studies considering more than single factors behind the complexity of the metabolic syndrome are valuable to achieve a better and wider understanding of the metabolic syndrome. In this study common dysregulated pathways between adipose tissue inflammation and atherosclerosis were identified using two different bioinformatic tools to perform pathway analysis. First, we run a gene set enrichment analysis utilizing with data from two microarray experiments done with gonadal white adipose tissue and atherosclerotic aorta. Once the common dysregulated pathways between both tissues were identify, the inflammatory response and the oxidative phosphorylation pathways from the Hallmark geneset were selected to conduct a deeper checkup at the single gene level of these pathways. Second, we carried out a pathway analysis validation with the Panther⢠software combining the microarray data with a published type 2 diabetes mellitus metanalysis and cardiovascular disease metanalysis which included human data. In conclusion, this study provides worthwhile data pointing out and describing several dysregulated and common pathways in adipose tissue inflammation and atherosclerotic aorta with a potential implication in the pathogenesis of type 2 diabetes and atherosclerosis. LDLR-/- on a C57BL/6J background, purchased from Charles River Laboratories (Sulzfeld, Germany) were used. At 9 weeks of age the LDLR-/- were placed for up to 20 weeks on sucrose-enriched high-fat diet (HFSC) (with 17.5 kcal% from sucrose; (D09071704, Research Diets Inc.). Their respective controls were kept on normal chow diet (NC) for up to 20 weeks. After sacrificing the gonadal white adipose tissue (GWAT) from LDLR-/- animals on NC (Samples 22-27) or HFSC (Samples 28-33) was collected as well as the whole aortae from LDLR-/- animals on NC (Samples 13-15) or HFSC (Samples16-18). The collected tissues were immediately snap frozen in liquid nitrogen. RNA was isolated for gene expression microarray analyses at the exon level (GeneChip Mouse Exon 2.0 ST Array, Affymetrix, Santa Clara, CA, USA). To isolate RNA, the frozen tissue samples were homogenized in TRIzol® reagent (Invitrogen/Life Technologies, Carlsbad, CA, USA) and processed based on manufacturerâs instructions. Total RNA (1μg) was then used for GeneChip analysis, individual samples were used in GWAT preparation and three samples were pooled and used for aorta preparations. Terminal-labeled cDNA, hybridization to genome-wide Mouse Gene 2.0 ST Gene Chips and scanning of the arrays were carried out according to the manufactureâs indications (Affymetrix).Output primary row data was analyzed with Expression Console software (Affymetrix).
2016-09-01 | E-GEOD-76812 | biostudies-arrayexpress
Project description:Adipose tissue inflammation and atherosclerosis are the main mechanisms behind type 2 diabetes and cardiovascular disease respectively, the major risks associated with the metabolic syndrome. Studies considering more than single factors behind the complexity of the metabolic syndrome are valuable to achieve a better and wider understanding of the metabolic syndrome. In this study common dysregulated pathways between adipose tissue inflammation and atherosclerosis were identified using two different bioinformatic tools to perform pathway analysis. First, we run a gene set enrichment analysis utilizing with data from two microarray experiments done with gonadal white adipose tissue and atherosclerotic aorta. Once the common dysregulated pathways between both tissues were identify, the inflammatory response and the oxidative phosphorylation pathways from the Hallmark geneset were selected to conduct a deeper checkup at the single gene level of these pathways. Second, we carried out a pathway analysis validation with the Panther™ software combining the microarray data with a published type 2 diabetes mellitus metanalysis and cardiovascular disease metanalysis which included human data. In conclusion, this study provides worthwhile data pointing out and describing several dysregulated and common pathways in adipose tissue inflammation and atherosclerotic aorta with a potential implication in the pathogenesis of type 2 diabetes and atherosclerosis.
2016-09-01 | GSE76812 | GEO
Project description:Atherosclerosis is a chronic disease involving multiple biological mechanisms. A study aimed to identify changes in miRNA expression at early stages using a large swine model. 18 female pigs were studied, 9 with familial hypercholesterolemia and 9 normal controls. Plasma was collected at 3, 6, and 9 months of age. In vivo imaging and histopathology were performed to document the presence of coronary atherosclerosis. miRNA sequencing was carried out on plasma cell-free RNA. Results showed that circulating miRNA dynamics change over time during atherosclerosis development and specific DE miRNAs may be promising biomarkers for early detection of coronary atherosclerosis.
2023-11-08 | GSE242074 | GEO