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
Mature alpha Cells vs. Mature beta Cells
GSM2936553 GSM2936555 GSM2936556 GSM2936560
GSM2936554 GSM2936558 GSM2936563 GSM2936564
GSM2936562 GSM2936566 GSM2936568 GSM2936569 GSM2936571
GSM2936565 GSM2936567 GSM2936572 GSM2936573 GSM2936576
Description

Submission Date: Jan 17, 2018

Summary: The mechanisms restricting regeneration and maintaining cell identity upon injury are poorly characterized in higher vertebrates. Upon β-cell loss, 1-2% of the glucagon-producing α-cells spontaneously engage insulin production in mice. Here we explore the mechanisms of this plasticity. We show that the adaptive α-cell identity changes are constrained by intra-islet Insulin- and Smoothened-mediated signaling, among others. Combining β-cell loss, or insulin signaling inhibition, with Smoothened inactivation in α- or δ-cells, stimulates insulin production in more α-cells. These findings suggest that removing constitutive "brake signals" is crucial for neutralizing the refractoriness to adaptive cell-fate changes. It appears that cell identity maintenance is an active process mediated by repressive signals curbing an intrinsic trend of differentiated cells to change.

GEO Accession ID: GSE109285

PMID: No Pubmed ID

Description

Submission Date: Jan 17, 2018

Summary: The mechanisms restricting regeneration and maintaining cell identity upon injury are poorly characterized in higher vertebrates. Upon β-cell loss, 1-2% of the glucagon-producing α-cells spontaneously engage insulin production in mice. Here we explore the mechanisms of this plasticity. We show that the adaptive α-cell identity changes are constrained by intra-islet Insulin- and Smoothened-mediated signaling, among others. Combining β-cell loss, or insulin signaling inhibition, with Smoothened inactivation in α- or δ-cells, stimulates insulin production in more α-cells. These findings suggest that removing constitutive "brake signals" is crucial for neutralizing the refractoriness to adaptive cell-fate changes. It appears that cell identity maintenance is an active process mediated by repressive signals curbing an intrinsic trend of differentiated cells to change.

GEO Accession ID: GSE109285

PMID: No Pubmed ID

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:
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.