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
Islets: FACS-purified beta cells
GSM2345461 GSM2345462 GSM2345463
GSM2345464 GSM2345465 GSM2345466
GSM2345467 GSM2345468 GSM2345469 GSM2345470
GSM2345459 GSM2345460
GSM2345471 GSM2345472 GSM2345473
Description

Submission Date: Oct 14, 2016

Summary: Beta cells are the sole source of insulin in our body, yet we do not understand how they mature into fully functional, glucose-responsive beta cells. We generated transcriptomes of FACS-purified beta cells using the Ins1-H2b-mCherry reporter line (Jax # 028589) at different peri- and postnatal maturation stages. This enables a systematic comparison across thousands of genes as beta cells mature.

GEO Accession ID: GSE88779

PMID: 28380380

Description

Submission Date: Oct 14, 2016

Summary: Beta cells are the sole source of insulin in our body, yet we do not understand how they mature into fully functional, glucose-responsive beta cells. We generated transcriptomes of FACS-purified beta cells using the Ins1-H2b-mCherry reporter line (Jax # 028589) at different peri- and postnatal maturation stages. This enables a systematic comparison across thousands of genes as beta cells mature.

GEO Accession ID: GSE88779

PMID: 28380380

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.