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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Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
Human Islets
GSM3935889 GSM3935894 GSM3935895 GSM3935900 GSM3935901 GSM3935903
GSM3935890 GSM3935893 GSM3935896 GSM3935899 GSM3935904 GSM3935905 GSM3935906
GSM3935891 GSM3935892 GSM3935897 GSM3935898 GSM3935902
Description

Submission Date: Jul 10, 2019

Summary: This collection represents whole transcriptome data for human islets that were stratified to high quality (Group 1), intermediary quality (Group 2) and poor quality (Group 3) islets (Wong WKM et al JCI Insight 2019).

GEO Accession ID: GSE134068

PMID: 31361602

Description

Submission Date: Jul 10, 2019

Summary: This collection represents whole transcriptome data for human islets that were stratified to high quality (Group 1), intermediary quality (Group 2) and poor quality (Group 3) islets (Wong WKM et al JCI Insight 2019).

GEO Accession ID: GSE134068

PMID: 31361602

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: