Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| Pancreatic islets |
GSM4618385 GSM4618387 GSM4618388 GSM4618389
|
|
|
GSM4618386 GSM4618390 GSM4618391 GSM4618392 GSM4618393
|
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
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
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.
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.