Gene array of laser capture microdissectioned human diabetic vs non-diabetic plaque macrophages
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE118481 | GEO | 2018/08/14
REPOSITORIES: GEO
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE23303: Gene expression profiling of human atherosclerotic plaque: Laser capture microscopy of smooth muscle cells and macrophages GSE23304: Gene expression profiling of human atherosclerotic plaque: 101 peripheral plaques GSE24495: Gene expression profiling of human atherosclerotic plaque: Carotid plaque GSE24702: Gene expression profiling of human atherosclerotic plaque: 290 peripheral plaques Refer to individual Series
2011-09-30 | E-GEOD-23314 | biostudies-arrayexpress
Project description:In order to identify potential new biomarkers of atherosclerotic plaque composition we performed a large scale analysis of gene expression patterns in human atherosclerotic lesions. Whole genome expression analysis of 101 peripheral plaques identified a robust gene signature (1514 genes) dominated by inflammatory processes, and cholesterol metabolism and storage genes. Specific pathways enriched in this signature included activation of the Toll-like receptor signaling pathway, T-cell activation, cholesterol efflux, oxidative stress response, inflammatory cytokine production, vasoconstriction and lysosomal activity. Analysis of gene expression in plaque micro-dissected material revealed that the signature is strongly up-regulated in macrophage-rich regions and down-regulated in regions with high smooth muscle cell content. A smaller qPCR biomarker panel and inflammatory composite score (ICS) were developed to facilitate clinical translation of discoveries from gene expression profiling. We found that ICS correlates with histological features related to plaque vulnerability. In addition, ICS is able to separate groups of plaques obtained from symptomatic and asymptomatic patients undergoing carotid endarerectomy. In summary, we identified a robust mRNA biomarker panel associated with histo-pathological as well as clinical hallmarks of vulnerable atherosclerotic plaque. This panel may be used as a diagnostic and prognostic tool in clinical setting to evaluate novel anti-atherosclerotic therapies. Laser captured smooth muscle cells and macrophages from carotid plaque sections (n=3) profiled in the Merck/Agilent 44k v1.1. The reference sample was a pool RNA from whole sections.
2011-09-30 | E-GEOD-23303 | biostudies-arrayexpress
Project description:In order to identify potential new biomarkers of atherosclerotic plaque composition we performed a large scale analysis of gene expression patterns in human atherosclerotic lesions. Whole genome expression analysis of 101 peripheral plaques identified a robust gene signature (1514 genes) dominated by inflammatory processes, and cholesterol metabolism and storage genes. Specific pathways enriched in this signature included activation of the Toll-like receptor signaling pathway, T-cell activation, cholesterol efflux, oxidative stress response, inflammatory cytokine production, vasoconstriction and lysosomal activity. Analysis of gene expression in plaque micro-dissected material revealed that the signature is strongly up-regulated in macrophage-rich regions and down-regulated in regions with high smooth muscle cell content. A smaller qPCR biomarker panel and inflammatory composite score (ICS) were developed to facilitate clinical translation of discoveries from gene expression profiling. We found that ICS correlates with histological features related to plaque vulnerability. In addition, ICS is able to separate groups of plaques obtained from symptomatic and asymptomatic patients undergoing carotid endarerectomy. In summary, we identified a robust mRNA biomarker panel associated with histo-pathological as well as clinical hallmarks of vulnerable atherosclerotic plaque. This panel may be used as a diagnostic and prognostic tool in clinical setting to evaluate novel anti-atherosclerotic therapies. 6 human carotid plaques were sectioned in 1 mm thick slices. Alternative slices were used for gene expression profiling in Affymetrix/Merck custom 1.0 arrays (GPL10687), or for immunohistochemistry studies (CD68, Actin)
2011-09-30 | E-GEOD-24495 | biostudies-arrayexpress
Project description:Atherosclerotic plaques belong to the common vascular disease in the aged, which rupture will lead to acute thromboembolic diseases, the major reason for fatal cardiovascular events. Accumulating evidence indicates that lncRNAs exert critical functions in atherosclerosis. To identify novel astherosclerotic plaques-relevant lncRNAs, four specimens of carotid atherosclerotic plaque were collected, and endovascular tissue one centimeter far from the carotid atherosclerotic plaque was taken as a control group, we performed lncRNA microarray analysis using Affymetrix Human OElncRNA
2022-07-01 | GSE207252 | GEO
Project description:Gene array of laser capture microdissectioned human diabetic vs non-diabetic plaque macrophages
| PRJNA485777 | ENA
Project description:Plaque rupture and subsequent thrombus formation is responsible for the majority of clinical complications of atherosclerosis and nonetheless our understanding of what underlies plaque vulnerability and rupture is still sparse and mostly deductively based on animal models and in vitro studies. We adopted five different -omics platforms to compare ruptured atherosclerotic and advanced-stable tissue within the same carotid plaque specimen from 24 carotid endarterectomy patients. Segments designated as stable feature either a fibrous cap atheroma or pathological intimal thickening. Segments designated as ruptured include a thrombus and/or presented intraplaque hemorrhage. For the present study only those samples were selected for further analysis that were flanked by two segments of identical classification, be it stable (S) or ruptured (R); and were derived from CEA specimen that contained plaque segments of both classifications.
2014-05-17 | E-MTAB-2055 | biostudies-arrayexpress
Project description:In order to identify potential new biomarkers of atherosclerotic plaque composition we performed a large scale analysis of gene expression patterns in human atherosclerotic lesions. Whole genome expression analysis of 101 peripheral plaques identified a robust gene signature (1514 genes) dominated by inflammatory processes, and cholesterol metabolism and storage genes. Specific pathways enriched in this signature included activation of the Toll-like receptor signaling pathway, T-cell activation, cholesterol efflux, oxidative stress response, inflammatory cytokine production, vasoconstriction and lysosomal activity. Analysis of gene expression in plaque micro-dissected material revealed that the signature is strongly up-regulated in macrophage-rich regions and down-regulated in regions with high smooth muscle cell content. A smaller qPCR biomarker panel and inflammatory composite score (ICS) were developed to facilitate clinical translation of discoveries from gene expression profiling. We found that ICS correlates with histological features related to plaque vulnerability. In addition, ICS is able to separate groups of plaques obtained from symptomatic and asymptomatic patients undergoing carotid endarerectomy. In summary, we identified a robust mRNA biomarker panel associated with histo-pathological as well as clinical hallmarks of vulnerable atherosclerotic plaque. This panel may be used as a diagnostic and prognostic tool in clinical setting to evaluate novel anti-atherosclerotic therapies.
2011-10-01 | GSE23303 | GEO
Project description:The rupture of unstable atherosclerotic plaques, leading to debilitating or fatal thrombotic events, is a major health burden worldwide. Limited understanding as to the molecular drivers of plaque instability and rupture hinders efforts in diagnosis and treatment prior to thrombotic events. Utilising an advanced pre-clinical mouse model (Tandem stenosis (TS) model), which presents human-like unstable atherosclerotic disease, we apply high-end omic methods to characterize the molecular signatures associated with plaque instability in atherosclerotic arteries. Through quantitative proteomic profiling, we depict unique proteome signatures of unstable plaques compared to stable plaques and healthy arteries. Coupled with single-cell RNA-sequencing of leukocytes, we describe the heterodimer complex S100a8/S100a9 as unique to unstable plaque, with neutrophils implicated as the transcriptional drivers of S100a8/a9 expression. We confirm S100a9 expression in human carotid atherosclerotic plaques and we further utilise the TS pre-clinical model to pharmacologically inhibit S100a8/S100a9, resulting in plaque stabilisation. Thus, we establish the TS model as a sophisticated translational tool for the profiling of unstable atherosclerotic plaques and demonstrate that unstable and stable atherosclerosis are highly different disease entities.
2023-05-10 | PXD030857 | Pride
Project description:In order to identify potential new biomarkers of atherosclerotic plaque composition we performed a large scale analysis of gene expression patterns in human atherosclerotic lesions. Whole genome expression analysis of 101 peripheral plaques identified a robust gene signature (1514 genes) dominated by inflammatory processes, and cholesterol metabolism and storage genes. Specific pathways enriched in this signature included activation of the Toll-like receptor signaling pathway, T-cell activation, cholesterol efflux, oxidative stress response, inflammatory cytokine production, vasoconstriction and lysosomal activity. Analysis of gene expression in plaque micro-dissected material revealed that the signature is strongly up-regulated in macrophage-rich regions and down-regulated in regions with high smooth muscle cell content. A smaller qPCR biomarker panel and inflammatory composite score (ICS) were developed to facilitate clinical translation of discoveries from gene expression profiling. We found that ICS correlates with histological features related to plaque vulnerability. In addition, ICS is able to separate groups of plaques obtained from symptomatic and asymptomatic patients undergoing carotid endarerectomy. In summary, we identified a robust mRNA biomarker panel associated with histo-pathological as well as clinical hallmarks of vulnerable atherosclerotic plaque. This panel may be used as a diagnostic and prognostic tool in clinical setting to evaluate novel anti-atherosclerotic therapies. Total RNA from peripheral plaque (n=101) profiled in the Merck/Agilent 44k v1.1 against a reference pool of total RNA from 7 carotid plaques.
2011-09-30 | E-GEOD-23304 | biostudies-arrayexpress
Project description:In order to identify potential new biomarkers of atherosclerotic plaque composition we performed a large scale analysis of gene expression patterns in human atherosclerotic lesions. Whole genome expression analysis of 101 peripheral plaques identified a robust gene signature (1514 genes) dominated by inflammatory processes, and cholesterol metabolism and storage genes. Specific pathways enriched in this signature included activation of the Toll-like receptor signaling pathway, T-cell activation, cholesterol efflux, oxidative stress response, inflammatory cytokine production, vasoconstriction and lysosomal activity. Analysis of gene expression in plaque micro-dissected material revealed that the signature is strongly up-regulated in macrophage-rich regions and down-regulated in regions with high smooth muscle cell content. A smaller qPCR biomarker panel and inflammatory composite score (ICS) were developed to facilitate clinical translation of discoveries from gene expression profiling. We found that ICS correlates with histological features related to plaque vulnerability. In addition, ICS is able to separate groups of plaques obtained from symptomatic and asymptomatic patients undergoing carotid endarerectomy. In summary, we identified a robust mRNA biomarker panel associated with histo-pathological as well as clinical hallmarks of vulnerable atherosclerotic plaque. This panel may be used as a diagnostic and prognostic tool in clinical setting to evaluate novel anti-atherosclerotic therapies.
2011-10-01 | GSE24495 | GEO