Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| HUVECS |
GSM5620445 GSM5620446 GSM5620447 GSM5620448 GSM5620449 GSM5620450
|
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
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
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
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:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.
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.