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
Donor-derived human pancreatic Islets
GSM2306833 GSM2306834 GSM2306835 GSM2306836 GSM2306837 GSM2306838 GSM2306839 GSM2306840 GSM2306841 GSM2306842
GSM2306843 GSM2306844 GSM2306845 GSM2306846 GSM2306847 GSM2306848 GSM2306849 GSM2306850 GSM2306851 GSM2306852
Description

Submission Date: Sep 09, 2016

Summary: Comparison of gene expression in pancreatic islets of BTBR-ob/ob mouse model of obesity-induced type 2 diabetes, and in non-diabetic control mice, B6-ob/ob identified Asf1b as an important gene candidate predictive of diabetic outcome. Asf1B expression was suppressed in response to age in both B6 and BTBR islets, induced by obesity only in B6 islets. This is consistent with other studies reporting a decline in -cell proliferation with age. Asf1b also strongly correlated (R ~ 0.98) with cellular proliferation marker Mki67. Overexpression of Asf1B induced β-cell proliferation in human islets. We show that many genes involved in regulation of cell cycle or programmed cell death are differentially regulated by Asf1B overexpression.

GEO Accession ID: GSE86611

PMID: 27753532

Description

Submission Date: Sep 09, 2016

Summary: Comparison of gene expression in pancreatic islets of BTBR-ob/ob mouse model of obesity-induced type 2 diabetes, and in non-diabetic control mice, B6-ob/ob identified Asf1b as an important gene candidate predictive of diabetic outcome. Asf1B expression was suppressed in response to age in both B6 and BTBR islets, induced by obesity only in B6 islets. This is consistent with other studies reporting a decline in -cell proliferation with age. Asf1b also strongly correlated (R ~ 0.98) with cellular proliferation marker Mki67. Overexpression of Asf1B induced β-cell proliferation in human islets. We show that many genes involved in regulation of cell cycle or programmed cell death are differentially regulated by Asf1B overexpression.

GEO Accession ID: GSE86611

PMID: 27753532

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.