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.
Enter gene symbol:

Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
FACS-enriched β-cells
GSM2249811 GSM2249812 GSM2249813 GSM2249814 GSM2249815
GSM2249798 GSM2249799 GSM2249800 GSM2249801 GSM2249802
GSM2249803 GSM2249804 GSM2249805 GSM2249806 GSM2249807 GSM2249808 GSM2249809 GSM2249810
Description

Submission Date: Jul 24, 2016

Summary: Utilize high-throughput transcriptomic and cistromic analysis to determine the functional requirement for LDB1 and ISL1 in mature murine pancreatic β-cells while simultaneously assessing their functional interdependence at the chromatin level.

GEO Accession ID: GSE84759

PMID: 27941246

Description

Submission Date: Jul 24, 2016

Summary: Utilize high-throughput transcriptomic and cistromic analysis to determine the functional requirement for LDB1 and ISL1 in mature murine pancreatic β-cells while simultaneously assessing their functional interdependence at the chromatin level.

GEO Accession ID: GSE84759

PMID: 27941246

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:

Select conditions:

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.