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
Pancreatic islets
GSM4618386 GSM4618390 GSM4618391 GSM4618392 GSM4618393
GSM4618385 GSM4618387 GSM4618388 GSM4618389
Description

Submission Date: Jun 16, 2020

Summary: Variants close to the VPS13C/C2CD4A/C2CD4B locus are associated with altered risk of type 2 diabetes in genome-wide association studies. Here have performed RNAseq on pancreatic islets from C2CD4B-null mice and their littermate controls.

GEO Accession ID: GSE152576

PMID: 33492421

Description

Submission Date: Jun 16, 2020

Summary: Variants close to the VPS13C/C2CD4A/C2CD4B locus are associated with altered risk of type 2 diabetes in genome-wide association studies. Here have performed RNAseq on pancreatic islets from C2CD4B-null mice and their littermate controls.

GEO Accession ID: GSE152576

PMID: 33492421

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.