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
GSM4838433 GSM4838436
GSM4838434 GSM4838437
GSM4838435 GSM4838438
Description

Submission Date: Oct 20, 2020

Summary: We performed RNA-sequencing in uninfected, SARS-CoV-2-infected, and additionally remdesivir treated ex vivo cultured human islets from two donors to shed light on the transcriptional changes occurring upon viral infection.

GEO Accession ID: GSE159717

PMID: 33536639

Description

Submission Date: Oct 20, 2020

Summary: We performed RNA-sequencing in uninfected, SARS-CoV-2-infected, and additionally remdesivir treated ex vivo cultured human islets from two donors to shed light on the transcriptional changes occurring upon viral infection.

GEO Accession ID: GSE159717

PMID: 33536639

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.
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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.