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
Human islets from cadaveric organ donors
GSM7086403 GSM7086404 GSM7086405 GSM7086406 GSM7086407
GSM7086398 GSM7086399 GSM7086400 GSM7086401 GSM7086402
GSM7086393 GSM7086394 GSM7086395 GSM7086396 GSM7086397
GSM7086408 GSM7086409 GSM7086410 GSM7086411 GSM7086412
Description

Submission Date: Mar 07, 2023

Summary: Inhibition of polyamine biosynthesis using α-difluoromethylornithine (DFMO), an inhibitor of ornithine decarboxylase (ODC), reduces β-cell stress and type 1 diabetes (T1D) incidence in preclinical models. However, underlying cellular and molecular mechanisms and the tolerability and effectiveness of polyamine depletion by DFMO in humans with T1D remain unknown. Transcriptomics and proteomics of cytokine-stressed human islets treated with DFMO reveal alterations in mRNA translation, nascent protein transport, and secretion. Collectively, our data suggest that inhibition of polyamine biosynthesis may preserve β-cell function in T1D via islet cell-autonomous responses to stress.

GEO Accession ID: GSE226888

PMID: No Pubmed ID

Description

Submission Date: Mar 07, 2023

Summary: Inhibition of polyamine biosynthesis using α-difluoromethylornithine (DFMO), an inhibitor of ornithine decarboxylase (ODC), reduces β-cell stress and type 1 diabetes (T1D) incidence in preclinical models. However, underlying cellular and molecular mechanisms and the tolerability and effectiveness of polyamine depletion by DFMO in humans with T1D remain unknown. Transcriptomics and proteomics of cytokine-stressed human islets treated with DFMO reveal alterations in mRNA translation, nascent protein transport, and secretion. Collectively, our data suggest that inhibition of polyamine biosynthesis may preserve β-cell function in T1D via islet cell-autonomous responses to stress.

GEO Accession ID: GSE226888

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:

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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.
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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.