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
HUVECS
GSM5620445 GSM5620446 GSM5620447 GSM5620448 GSM5620449 GSM5620450
Description

Submission Date: Oct 09, 2021

Summary: Cardiovascular disease (CVD) is the leading cause of mortality in diabetes mellitus (DM). However, the molecular factors that cause this disproportiona increase in CVD in the DM/chronic kidney disease (CKD) population are still unknown.Human endothelial cells treated with high glucose to mimic DM and with the uremic toxin indoxyl sulfate (IS) to mimic the endothelial injury associated with CKD. Differentially expressed lncRNAs in these conditions were analyzed by RNA sequencing.Lnc-SLC15A1-1 expression was significantly increased upon IS treatment versus high glucose alone.

GEO Accession ID: GSE185598

PMID: 34941711

Description

Submission Date: Oct 09, 2021

Summary: Cardiovascular disease (CVD) is the leading cause of mortality in diabetes mellitus (DM). However, the molecular factors that cause this disproportiona increase in CVD in the DM/chronic kidney disease (CKD) population are still unknown.Human endothelial cells treated with high glucose to mimic DM and with the uremic toxin indoxyl sulfate (IS) to mimic the endothelial injury associated with CKD. Differentially expressed lncRNAs in these conditions were analyzed by RNA sequencing.Lnc-SLC15A1-1 expression was significantly increased upon IS treatment versus high glucose alone.

GEO Accession ID: GSE185598

PMID: 34941711

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:

No precomputed signatures are currently available for this study. You can compute differential gene expression on the fly below:

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.