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
GSM1910653 GSM1910659 GSM1910660 GSM1910662 GSM1910663 GSM1910664 GSM1910665 GSM1910666 GSM1910667
GSM1910652 GSM1910654 GSM1910655 GSM1910656 GSM1910657 GSM1910658 GSM1910661
Description

Submission Date: Oct 16, 2015

Summary: We define the effects of reduced insulin production in beta-cells from tamoxifen-treated Ins1-/-:Ins2f/f:Pdx1CreERT:mTmG mice studied at a time point when insulin production was reduced by ~50%.

GEO Accession ID: GSE74113

PMID: 26626461

Description

Submission Date: Oct 16, 2015

Summary: We define the effects of reduced insulin production in beta-cells from tamoxifen-treated Ins1-/-:Ins2f/f:Pdx1CreERT:mTmG mice studied at a time point when insulin production was reduced by ~50%.

GEO Accession ID: GSE74113

PMID: 26626461

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.