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
EndoC-𝛽H1 cells
GSM5242720 GSM5242726 GSM5242732
GSM5242721 GSM5242727 GSM5242733
GSM5242716 GSM5242722 GSM5242728
GSM5242718 GSM5242724 GSM5242730
GSM5242717 GSM5242723 GSM5242729
GSM5242719 GSM5242725 GSM5242731
Description

Submission Date: Apr 15, 2021

Summary: Type 1 diabetes (T1D) results from autoimmune destruction of β-cells in the pancreas. Protein tyrosine phosphatases (PTPs) are candidate genes for T1D and play a key role in autoimmune disease development and β-cell function. Here, we assessed the global protein and individual PTP profile in the pancreas from diabetic NOD mice treated with anti-CD3 monoclonal antibody and IL-1 receptor antagonist (IL-1RA). The treatment reversed hyperglycemia compared to the anti-CD3 alone control group. We observed enhanced expression of PTPN2, a T1D candidate gene, and endoplasmic reticulum (ER) chaperones in islets from mice with reversed diabetes. To address the functional role of PTPN2 in β-cells, we generated PTPN2 deficient stem cell-derived β-like and human EndoC-βH1 cells. Mechanistically, we demonstrated that PTPN2 inactivation in β-cells exacerbates the type I and type II IFN signalling networks, and the potential progression towards autoimmunity. Moreover, we established the capacity of PTPN2 to modulate the Ca2+-dependent unfolded protein response in β-cells. Adenovirus-induced overexpression of PTPN2 decreased BiP expression and partially protected from ER-stress induced β-cell death. Our results postulate PTPN2 as a key protective factor in β-cells during inflammation and ER stress in autoimmune diabetes.

GEO Accession ID: GSE172148

PMID: 35044456

Description

Submission Date: Apr 15, 2021

Summary: Type 1 diabetes (T1D) results from autoimmune destruction of β-cells in the pancreas. Protein tyrosine phosphatases (PTPs) are candidate genes for T1D and play a key role in autoimmune disease development and β-cell function. Here, we assessed the global protein and individual PTP profile in the pancreas from diabetic NOD mice treated with anti-CD3 monoclonal antibody and IL-1 receptor antagonist (IL-1RA). The treatment reversed hyperglycemia compared to the anti-CD3 alone control group. We observed enhanced expression of PTPN2, a T1D candidate gene, and endoplasmic reticulum (ER) chaperones in islets from mice with reversed diabetes. To address the functional role of PTPN2 in β-cells, we generated PTPN2 deficient stem cell-derived β-like and human EndoC-βH1 cells. Mechanistically, we demonstrated that PTPN2 inactivation in β-cells exacerbates the type I and type II IFN signalling networks, and the potential progression towards autoimmunity. Moreover, we established the capacity of PTPN2 to modulate the Ca2+-dependent unfolded protein response in β-cells. Adenovirus-induced overexpression of PTPN2 decreased BiP expression and partially protected from ER-stress induced β-cell death. Our results postulate PTPN2 as a key protective factor in β-cells during inflammation and ER stress in autoimmune diabetes.

GEO Accession ID: GSE172148

PMID: 35044456

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

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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.