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
hESC derived INS-GFP+ cells
GSM5082476 GSM5082477 GSM5082478
GSM5082473 GSM5082474 GSM5082475
Description

Submission Date: Feb 15, 2021

Summary: Over 90% of disease associated single nucleotide polymorphisms (SNPs) identified by genome wide association studies (GWAS) are noncoding variants. Platform to efficiently validate the biological function of variants thus discovered remain distinctly lacking. Here, we used β-like cells derived from isogenic human pluripotent stem cells (hPSCs), carrying the type 1 diabetes (T1D)-associated noncoding SNP rs2542151T>G or the knockout of the SNP-associated gene PTPN2−/−, to systematically examine the role of the T1D associated noncoding variant in β cell function and survival. PTPN2−/− and rs2542151T>G both decrease insulin production and elevate cell apoptosis in vitro as well as in vivo. A high content chemical screen identified sodium butyrate, a short-chain fatty acid, to rescue the defects of PTPN2−/−and rs2542151G/G β-like cells in vitro and a humanized mouse model. The combined phosphoproteomics, proteomics and RNA-seq analyses discovered a LAMIN A/HDAC/ERK/complex 1 axis as the downstream pathway of PTPN2 to control β cell survival. Together, this study proved the principle to apply hPSC-derived β cells to study diabetes associated noncoding SNP, and identified a drug candidate for the precision therapy of T1D.

GEO Accession ID: GSE166785

PMID: No Pubmed ID

Description

Submission Date: Feb 15, 2021

Summary: Over 90% of disease associated single nucleotide polymorphisms (SNPs) identified by genome wide association studies (GWAS) are noncoding variants. Platform to efficiently validate the biological function of variants thus discovered remain distinctly lacking. Here, we used β-like cells derived from isogenic human pluripotent stem cells (hPSCs), carrying the type 1 diabetes (T1D)-associated noncoding SNP rs2542151T>G or the knockout of the SNP-associated gene PTPN2−/−, to systematically examine the role of the T1D associated noncoding variant in β cell function and survival. PTPN2−/− and rs2542151T>G both decrease insulin production and elevate cell apoptosis in vitro as well as in vivo. A high content chemical screen identified sodium butyrate, a short-chain fatty acid, to rescue the defects of PTPN2−/−and rs2542151G/G β-like cells in vitro and a humanized mouse model. The combined phosphoproteomics, proteomics and RNA-seq analyses discovered a LAMIN A/HDAC/ERK/complex 1 axis as the downstream pathway of PTPN2 to control β cell survival. Together, this study proved the principle to apply hPSC-derived β cells to study diabetes associated noncoding SNP, and identified a drug candidate for the precision therapy of T1D.

GEO Accession ID: GSE166785

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:

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.