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
pancreatic ductal-like cell line PANC-1 cells
GSM5597982 GSM5597983 GSM5597984
GSM5597976 GSM5597977 GSM5597978
GSM5597979 GSM5597980 GSM5597981
Description

Submission Date: Sep 27, 2021

Summary: Enteroviruses, particularly the group B Coxsackieviruses have been associated with the development of type 1 diabetes. Several CVB serotypes can establish chronic infection in human cells in vivo and in vitro. However, the mechanisms of leading to enterovirus persistency and, possibly, bell-cell autoimmunity are not fully understood. We established a carrier-state persistent infection model in human pancreatic ductal-like cell line PANC-1 using two distinct CVB1 strains and profiled infection-induced changes in cellular transcriptome. In the current study we observed clear changes in the gene expression of factors associated with the pancreatic microenvironment, the secretory pathway and lysosomal biogenesis during persistent CVB1 infections. Moreover, we gained deeper insights into immune-related genes which differed clearly between the two persistent infections. Overall our study reveals extensive transcriptional responses in persistently CVB1 infected pancreatic cell line with strong opposite but also common changes between the two strains.

GEO Accession ID: GSE184831

PMID: 35024587

Description

Submission Date: Sep 27, 2021

Summary: Enteroviruses, particularly the group B Coxsackieviruses have been associated with the development of type 1 diabetes. Several CVB serotypes can establish chronic infection in human cells in vivo and in vitro. However, the mechanisms of leading to enterovirus persistency and, possibly, bell-cell autoimmunity are not fully understood. We established a carrier-state persistent infection model in human pancreatic ductal-like cell line PANC-1 using two distinct CVB1 strains and profiled infection-induced changes in cellular transcriptome. In the current study we observed clear changes in the gene expression of factors associated with the pancreatic microenvironment, the secretory pathway and lysosomal biogenesis during persistent CVB1 infections. Moreover, we gained deeper insights into immune-related genes which differed clearly between the two persistent infections. Overall our study reveals extensive transcriptional responses in persistently CVB1 infected pancreatic cell line with strong opposite but also common changes between the two strains.

GEO Accession ID: GSE184831

PMID: 35024587

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.