GSE92724: Dermal endothelial cells of type 2 diabetic patients

Gene Expression Data Explorer
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GROUP CONDITION SAMPLES
dermal blood endothelial cell
GSM2436515 GSM2436516 GSM2436517 GSM2436518
GSM2436514 GSM2436519 GSM2436520 GSM2436521 GSM2436522 GSM2436523
Description

Submission Date: Dec 22, 2016

Summary: The prevalence of type 2 diabetes mellitus (T2D) is increasing constantly and various risk factors such as obesity, aging, nutritional states and physical inactivity, in addition to genetic pre-dispositions in different populations has been identified. The consequences of high blood glucose include damaged blood vessels, leading to arteriosclerosis and chronic diabetic microangiopathies. These changes lead to occlusive angiopathy, altered vascular permeability, or tissue hypoxia, resulting in complications such as heart disease, strokes, kidney disease, blindness, impaired wound healing, chronic skin ulcers, or amputations. We isolated dermal endothelial cells from diabetic patients (Pat) and control individuals (Ctrl) and performed RNASeq to compare differentially expressed genes.

GEO Accession ID: GSE92724

PMID: 30651639

Description

Submission Date: Dec 22, 2016

Summary: The prevalence of type 2 diabetes mellitus (T2D) is increasing constantly and various risk factors such as obesity, aging, nutritional states and physical inactivity, in addition to genetic pre-dispositions in different populations has been identified. The consequences of high blood glucose include damaged blood vessels, leading to arteriosclerosis and chronic diabetic microangiopathies. These changes lead to occlusive angiopathy, altered vascular permeability, or tissue hypoxia, resulting in complications such as heart disease, strokes, kidney disease, blindness, impaired wound healing, chronic skin ulcers, or amputations. We isolated dermal endothelial cells from diabetic patients (Pat) and control individuals (Ctrl) and performed RNASeq to compare differentially expressed genes.

GEO Accession ID: GSE92724

PMID: 30651639

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Precomputed Differential Gene Expression

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Differential Gene Expression Analysis
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Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.