Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
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GROUP CONDITION SAMPLES
forearm whole skin
GSM4273454 GSM4273455 GSM4273456 GSM4273457
GSM4273445 GSM4273446 GSM4273447 GSM4273448
GSM4273449 GSM4273450 GSM4273451 GSM4273452 GSM4273453
Description

Submission Date: Jan 15, 2020

Summary: Diabetic foot ulcers (DFUs) and associated impaired healing, represent a major problem, that significantly impairs the quality of life of diabetic patients, leading to prolonged hospitalization and resulting in more than 70,000 lower extremity amputations per year in the USA alone. In the present study, we prospectively followed a large group of DFU patients for 12 weeks and aimed to identify systemic and local factors that are associated with DFU healing. We also studied healthy control subjects and diabetic patients without DFU and compared differences with the DFU patients. We first employed serum multiplex arrays to detect systemic cytokines, chemokines and growth factors, which correlate with DFU healing. In addition, we collected forearm biopsies for histology and bulk transcriptome analyses to establish whether DFU healing outcome was reflected at a non-ulcerative skin site. Bulk RNA-seq analysis revealed extracellular matrix (ECM) related genes up-regulated in Healers, including MMP2 as well as implication of IFNγ and IL13 as upstream regulators. According to transcriptome data analysis with a false discovery rate (FDR) <0.05 and log2 fold-change (log2FC) > 0.5, a total of 25 genes (3 up-regulated) were differentially expressed when comparing Non-Healers and Healers, 916 (530 up-regulated) in Healers compared to DM and 160 (89 up-regulated) in Non-Healers compared to DM. Genes of interest that were increased in Healers include inflammation associated molecules lymphoid chemokine ligand 19 (CCL19), complement component 6 (C6), lipoprotein lipase (LPL) and beta-defensin 124 (DEFB124), as well as extracellular matrix linked proteins pigment-epithelium derived factor (SERPINF1), tenascin X (TNXB), biglycan (BGN) and matrix metalloproteinase-2 (MMP2). For Non-Healers, up-regulated genes were cytochrome P450 family member (CYP1A1), prostaglandin transporter (SLCO2A1) and metabolism regulator G0/G1 switch gene 2 (G0S2).

GEO Accession ID: GSE143735

PMID: 32763913

Description

Submission Date: Jan 15, 2020

Summary: Diabetic foot ulcers (DFUs) and associated impaired healing, represent a major problem, that significantly impairs the quality of life of diabetic patients, leading to prolonged hospitalization and resulting in more than 70,000 lower extremity amputations per year in the USA alone. In the present study, we prospectively followed a large group of DFU patients for 12 weeks and aimed to identify systemic and local factors that are associated with DFU healing. We also studied healthy control subjects and diabetic patients without DFU and compared differences with the DFU patients. We first employed serum multiplex arrays to detect systemic cytokines, chemokines and growth factors, which correlate with DFU healing. In addition, we collected forearm biopsies for histology and bulk transcriptome analyses to establish whether DFU healing outcome was reflected at a non-ulcerative skin site. Bulk RNA-seq analysis revealed extracellular matrix (ECM) related genes up-regulated in Healers, including MMP2 as well as implication of IFNγ and IL13 as upstream regulators. According to transcriptome data analysis with a false discovery rate (FDR) <0.05 and log2 fold-change (log2FC) > 0.5, a total of 25 genes (3 up-regulated) were differentially expressed when comparing Non-Healers and Healers, 916 (530 up-regulated) in Healers compared to DM and 160 (89 up-regulated) in Non-Healers compared to DM. Genes of interest that were increased in Healers include inflammation associated molecules lymphoid chemokine ligand 19 (CCL19), complement component 6 (C6), lipoprotein lipase (LPL) and beta-defensin 124 (DEFB124), as well as extracellular matrix linked proteins pigment-epithelium derived factor (SERPINF1), tenascin X (TNXB), biglycan (BGN) and matrix metalloproteinase-2 (MMP2). For Non-Healers, up-regulated genes were cytochrome P450 family member (CYP1A1), prostaglandin transporter (SLCO2A1) and metabolism regulator G0/G1 switch gene 2 (G0S2).

GEO Accession ID: GSE143735

PMID: 32763913

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

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Perturbation Condition

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Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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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.