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DNA hydroxymethylation analysis for target regions in human smooth muscle cells.

ABSTRACT: Macrophage-like cells derived from vascular smooth muscle cells (SMCs) play critical roles in atherogenesis, and TET2-mediated DNA hydroxymethylation was implicated to regulate the transdifferentiation. We examined transcriptomes and (hydroxy)methylomes of human coronary artery SMCs during cholesterol-induced transdifferentiation. A unique approach of gene ontology (GO)-centric clustering of differentially expressed genes exhaustively identified through all possible pairwise comparisons (pan-DEGs) revealed dynamic and multifaceted modulations of genes involved in extracellular matrix organization, angiogenesis, cell migration, hypoxia response, and cholesterol biosynthesis. Intriguingly, transient activation was observed for an immuno-metabolic circuit consisting of type I interferon response and cholesterol metabolism. We found neither global nor DEG-proximal change in (hydroxy)methylation. These datasets would serve as a unique resource to address the mechanisms underlying cholesterol-induced transdifferentiation of SMCs. Moreover, GO-centric clustering of pan-DEGs may provide a useful approach to interpret multifaceted transcriptomic alterations.

ORGANISM(S): Homo sapiens

PROVIDER: GSE163246 | GEO | 2021/07/07

REPOSITORIES: GEO

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DNA methylation analysis for target regions in human smooth muscle cells.

Project description:Macrophage-like cells derived from vascular smooth muscle cells (SMCs) play critical roles in atherogenesis, and TET2-mediated DNA hydroxymethylation was implicated to regulate the transdifferentiation. We examined transcriptomes and (hydroxy)methylomes of human coronary artery SMCs during cholesterol-induced transdifferentiation. A unique approach of gene ontology (GO)-centric clustering of differentially expressed genes exhaustively identified through all possible pairwise comparisons (pan-DEGs) revealed dynamic and multifaceted modulations of genes involved in extracellular matrix organization, angiogenesis, cell migration, hypoxia response, and cholesterol biosynthesis. Intriguingly, transient activation was observed for an immuno-metabolic circuit consisting of type I interferon response and cholesterol metabolism. We found neither global nor DEG-proximal change in (hydroxy)methylation. These datasets would serve as a unique resource to address the mechanisms underlying cholesterol-induced transdifferentiation of SMCs. Moreover, GO-centric clustering of pan-DEGs may provide a useful approach to interpret multifaceted transcriptomic alterations.

2021-07-07 | GSE163245 | GEO

RNA seq analysis in human smooth muscle cells.

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Cholesterol and TNF-induced transcriptomic changes in Mus musculus aortic smooth muscle cells

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Macrophage extracellular traps originated from the vascular smooth muscle cells play key roles in atherosclerosis progression [RNA-seq]

Project description:Smooth muscle cells (SMC) play significant roles in atherosclerosis via phenotypic switching, a pathological process in which SMC transdifferentiation into macrophage-like SMCs. Furthermore, during transdifferentiation, the SMCs' expression of PADI4 upregulating and SMC generated extracellular trap, a web-like structure, which plays key role in the development of atherosclerosis plaque. To reveal the potential mechanism of the SMC derived macrophages generated ETs surducing surrounding SMCs within the media of artery during the process of atherosclerosis plaque development, we utilized the dsDNA and H3CIT protein to stimuli the SMCs, the SMC stimulated with 0.2%BSA as coontrol group, we collect the cells and did RNA-sequencing between two groups to find the potential signaling pathway participating in the process

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Macrophage extracellular traps originated from the vascular smooth muscle cells play key roles in atherosclerosis progression [scRNA-seq]

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Molecular mechanisms vascular smooth muscle cell (VSMC) acquisition of macrophage features in response to cholesterol loading

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Molecular mechanisms vascular smooth muscle cell (VSMC) acquisition of macrophage features in response to cholesterol loading

Project description:In this study, murine primary aortic smooth muscle cells (SMCs) were transcriptionally profiled at baseline, after 3 d of cholesterol loading, and after 3 d of subsequent cholesterol unloading with HDL treatment, to identify vascular SMC genes that are transcripionally dysregulated in response to cholesterol loading and/or unloading. Mouse aortic SMCs were isolated from thoracic aortas of 8 week-old C57BL/6 mice (as described in Rong et al., Proc Nat Acad Sci USA, v100, pp13531M-bM-^@M-^S13536, 2003) and subconfluent cell preparations were harvested and transcriptionally profiled (baseline group) or treated with 10 M-NM-<g/mL cholesterol:methyl-M-NM-2-cyclodextrin complex (1:6 molar ratio) for 72 h for cholesterol loading. Of the cholesterol-loaded cells, samples were transcriptionally profiled (cholesterol samples) or treated for an additional 72 h with 100 M-NM-<g/mL human HDL and then transcriptionally profiled (HDL treatment). For all transcriptional profiling, RNA was isolated from cells using TRIzol, and labeled aRNA was prepared for hybridization to Affymetrix Mouse Genome 430 2.0 microarrays according to the manufacturer's protocol. Probe-level intensities were background-adjusted and normalized (in two separate analyses, one with baseline and cholesterol-treated samples, and the other analysis with all three sample groups) using Robust Multichip Average and combined into probesets using probe-to-probeset mappings from the University of Michigan CustomCDF project based on Ensembl Gene identifiers (release 59). Using the data from the analysis that combined the baseline and cholesterol-loaded samples, log2 probeset intensities were compared the between baseline and cholesterol sample groups using a one-way ANOVA with a P value cutoff determined by a Benjamini-Hochberg false discovery rate threshold of 0.05. Analysis (I): baseline and cholesterol-treated sample groups. Analysis (II): all three sample groups.

2015-02-06 | E-GEOD-47744 | biostudies-arrayexpress

Suckling lamb perirenal fat transcriptome

Project description:The aim of this study was to perform a comparative analysis of the perirenal fat transcriptomes of suckling lambs from two breeds with different growth and carcass characteristics. The perirenal fat tissue from 14 suckling lambs (Assaf= 8, Churra= 6) was used for the RNA-Seq analysis. The functional enrichment analysis of the 670 highly expressed genes (>150 fragments per kilobase of exon per million fragments mapped) in the perirenal fat transcriptome of both breeds revealed that the majority of these genes were involved in energy processes. The differential expression analysis performed identified 373 differentially expressed genes (DEGs) between the two compared breeds. In Assaf lambs, DEGs were enriched in Gene Ontology (GO) biological processes related to fatty-acid oxidation, while in Churra lambs, the majority of the significantly enriched GO terms were related to cholesterol synthesis, which suggests that upregulated DEGs in Assaf lambs are implicated in fat burning, while the Churra upregulated DEGs are linked to fat accumulation.

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