GSE106148: α Cell Function and Gene Expression Are Compromised in Type 1 Diabetes

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
Human pancreatic islets
GSM2830482 GSM2830483 GSM2830484 GSM2830485 GSM2830486
GSM2830487 GSM2830488 GSM2830489
Description

Submission Date: Oct 25, 2017

Summary: Many patients with type 1 diabetes (T1D) have residual beta cells producing small amounts of C-peptide long after disease onset, but develop an inadequate glucagon response to hypoglycemia following T1D diagnosis. The features of these residual beta cells and alpha cells persisting in the islet endocrine compartment are largely unknown due to difficulty of comprehensive investigation. By studying the T1D pancreas and isolated islets, we show that remnant beta cells appeared to maintain several aspects of regulated insulin secretion. However, the function of T1D alpha cells was markedly reduced and these cells had alterations in transcription factors constituting and alpha and beta cell identity. In the native pancreas and after placing the T1D islets into a non-autoimmune, normoglycemic in vivo environment, there was no evidence of alpha-to-beta cell conversion. These results suggest a new explanation for the disordered T1D counterregulatory glucagon response to hypoglycemia.

GEO Accession ID: GSE106148

PMID: 29514095

Description

Submission Date: Oct 25, 2017

Summary: Many patients with type 1 diabetes (T1D) have residual beta cells producing small amounts of C-peptide long after disease onset, but develop an inadequate glucagon response to hypoglycemia following T1D diagnosis. The features of these residual beta cells and alpha cells persisting in the islet endocrine compartment are largely unknown due to difficulty of comprehensive investigation. By studying the T1D pancreas and isolated islets, we show that remnant beta cells appeared to maintain several aspects of regulated insulin secretion. However, the function of T1D alpha cells was markedly reduced and these cells had alterations in transcription factors constituting and alpha and beta cell identity. In the native pancreas and after placing the T1D islets into a non-autoimmune, normoglycemic in vivo environment, there was no evidence of alpha-to-beta cell conversion. These results suggest a new explanation for the disordered T1D counterregulatory glucagon response to hypoglycemia.

GEO Accession ID: GSE106148

PMID: 29514095

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.