GSE156903: Differential effects of voclosporin and tacrolimus on insulin secretion from human islets

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
Islets of Langerhans
GSM4747410 GSM4747412 GSM4747414 GSM4747416 GSM4747418 GSM4747420 GSM4747422
GSM4747397 GSM4747399 GSM4747401 GSM4747403 GSM4747404 GSM4747406 GSM4747408
GSM4747383 GSM4747385 GSM4747387 GSM4747389 GSM4747391 GSM4747393 GSM4747395
Description

Submission Date: Aug 26, 2020

Summary: The incidence of new onset diabetes after transplant (NODAT) has increased over the past decade, likely due to calcineurin inhibitor-based immunosuppressants, including tacrolimus (TAC) and cyclosporin (CsA). Voclosporin (VCS), a next generation calcineurin inhibitor is reported to cause fewer incidences of NODAT but the reason is unclear. Whilst calcineurin signaling plays important roles in pancreatic beta-cell survival, proliferation, and function, its effects on human beta-cells remain understudied. In particular, we do not understand why some calcineurin inhibitors have more profound effects on the incidence of NODAT. Here, we compared the the effects of TAC and VCS on the transcriptomic profile of human islets.

GEO Accession ID: GSE156903

PMID: 32894758

Description

Submission Date: Aug 26, 2020

Summary: The incidence of new onset diabetes after transplant (NODAT) has increased over the past decade, likely due to calcineurin inhibitor-based immunosuppressants, including tacrolimus (TAC) and cyclosporin (CsA). Voclosporin (VCS), a next generation calcineurin inhibitor is reported to cause fewer incidences of NODAT but the reason is unclear. Whilst calcineurin signaling plays important roles in pancreatic beta-cell survival, proliferation, and function, its effects on human beta-cells remain understudied. In particular, we do not understand why some calcineurin inhibitors have more profound effects on the incidence of NODAT. Here, we compared the the effects of TAC and VCS on the transcriptomic profile of human islets.

GEO Accession ID: GSE156903

PMID: 32894758

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.