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 islets of Langerhans
GSM2897822 GSM2897826
GSM2897819 GSM2897823 GSM2897827
Description

Submission Date: Dec 21, 2017

Summary: Human CD8+ T cells are the final mediators of autoimmune β-cell destruction in type 1 diabetes. However, their target epitopes have not been demonstrated to be naturally processed and presented by β cells. We therefore performed an epitope discovery study combining HLA Class I peptidomics and transcriptomics strategies. Inflammatory cytokines increased β-cell peptide presentation in vitro, paralleling upregulation of HLA Class I expression. Peptide sources included known β-cell antigens and several insulin granule proteins. Preproinsulin yielded multiple previously described HLA-A2-restricted epitopes. Secretogranin V (SCG5/7B2), proconvertase-2, urocortin-3 and the insulin gene enhancer protein ISL-1 were identified as novel β-cell antigens, which were processed into HLA-A2-restricted epitopes recognized by circulating naïve CD8+ T cells in type 1 diabetic and healthy donors. HLA-A2-bound neo-epitopes were also represented and originated from an alternative mRNA splice isoform (SCG5-009) and from an islet amyloid polypeptide transpeptidation product. This first description of the β-cell HLA peptidome opens new avenues to understand the antigen processing pathways employed by β cells and provides a valuable tool for developing T-cell biomarkers and tolerogenic vaccination strategies.

GEO Accession ID: GSE108413

PMID: 30078552

Description

Submission Date: Dec 21, 2017

Summary: Human CD8+ T cells are the final mediators of autoimmune β-cell destruction in type 1 diabetes. However, their target epitopes have not been demonstrated to be naturally processed and presented by β cells. We therefore performed an epitope discovery study combining HLA Class I peptidomics and transcriptomics strategies. Inflammatory cytokines increased β-cell peptide presentation in vitro, paralleling upregulation of HLA Class I expression. Peptide sources included known β-cell antigens and several insulin granule proteins. Preproinsulin yielded multiple previously described HLA-A2-restricted epitopes. Secretogranin V (SCG5/7B2), proconvertase-2, urocortin-3 and the insulin gene enhancer protein ISL-1 were identified as novel β-cell antigens, which were processed into HLA-A2-restricted epitopes recognized by circulating naïve CD8+ T cells in type 1 diabetic and healthy donors. HLA-A2-bound neo-epitopes were also represented and originated from an alternative mRNA splice isoform (SCG5-009) and from an islet amyloid polypeptide transpeptidation product. This first description of the β-cell HLA peptidome opens new avenues to understand the antigen processing pathways employed by β cells and provides a valuable tool for developing T-cell biomarkers and tolerogenic vaccination strategies.

GEO Accession ID: GSE108413

PMID: 30078552

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.