GSE199838: RNAs sequencing revealing the gene expression profiling in kidney tissues between diabetic kidney disease and control

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
renal cortex
GSM5988325 GSM5988326 GSM5988327
GSM5988322 GSM5988323 GSM5988324
Description

Submission Date: Mar 31, 2022

Summary: Diabetic kidney disease (DKD), a progressive kidney disease, is a major complication associated with diabetes and has become the leading cause of chronic kidney disease in China. Increasing evidences have demonstrated that lncRNAs play vital roles in kidney diseases, including DKD. To search for new ncRNAs involved in DKD, we performed gene expression profiling in the kidney tissues isolated from DKD patients and non-diabetic renal cancer patients undergoing surgical resection by RNA sequencing. And we identified 65 DEncRNAs (29 upregulated and 36 downregulated in DKD) and 171 DEmRNAs (72 upregulated and 99 downregulated in DKD).This study will provide insights into the prevent and treatment of DKD in the future.

GEO Accession ID: GSE199838

PMID: 36792603

Description

Submission Date: Mar 31, 2022

Summary: Diabetic kidney disease (DKD), a progressive kidney disease, is a major complication associated with diabetes and has become the leading cause of chronic kidney disease in China. Increasing evidences have demonstrated that lncRNAs play vital roles in kidney diseases, including DKD. To search for new ncRNAs involved in DKD, we performed gene expression profiling in the kidney tissues isolated from DKD patients and non-diabetic renal cancer patients undergoing surgical resection by RNA sequencing. And we identified 65 DEncRNAs (29 upregulated and 36 downregulated in DKD) and 171 DEmRNAs (72 upregulated and 99 downregulated in DKD).This study will provide insights into the prevent and treatment of DKD in the future.

GEO Accession ID: GSE199838

PMID: 36792603

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.