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
kidney
GSM6429682 GSM6429683 GSM6429684 GSM6429687 GSM6429688
GSM6429685 GSM6429686 GSM6429689 GSM6429690
Description

Submission Date: Aug 03, 2022

Summary: To establish the role of proximal tubular hypoxia in diabetic kidney disease, we use a mouse line with a specific deletion of von-Hippel-Lindau (VHL) in the proximal tubule and treat them with streptozotocin (STZ) to induce a type I diabetes mellitus. 10 weeks after induction of diabetes mellitus samples were collected.

GEO Accession ID: GSE210401

PMID: No Pubmed ID

Description

Submission Date: Aug 03, 2022

Summary: To establish the role of proximal tubular hypoxia in diabetic kidney disease, we use a mouse line with a specific deletion of von-Hippel-Lindau (VHL) in the proximal tubule and treat them with streptozotocin (STZ) to induce a type I diabetes mellitus. 10 weeks after induction of diabetes mellitus samples were collected.

GEO Accession ID: GSE210401

PMID: No Pubmed ID

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.

Signatures:

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Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method:
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.