Table · study · 2026
Single-nucleus transcriptomic landscape of human glomerular diseases [Xenium]
Listed in NCBI GEO
Disease-specific similarities and differences in single-cell-level transcriptomic alterations in various glomerular diseases are necessary to understand the pathophysiology of kidney glomerular diseases.
Description
We analyzed single-nucleus RNA sequencing (snRNA-seq) data from 262,984 nuclei from kidney biopsy cores from 28 subjects with glomerular disease, including minimal change disease, membranous nephropathy, IgA nephropathy, and diabetic kidney disease and control individuals.
Our findings revealed that the upregulated differentially expressed genes (DEGs) exhibited disease-specific and cell type-common patterns, and the downregulated DEGs exhibit cell type-specific and disease-common patterns across various cell types. Differences in the transcriptomic profiles of patients with each type of glomerular disease were identified with a distinct pattern of gene expression and the related biological pathways.
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We also identified specific cell subtypes, including transitional cells between podocytes and parietal epithelial cells, podocytes with endocytosis features, and myofibroblasts, that are associated with the clinical features of glomerular diseases. Overall, we identified transcriptional alterations specific to each cell type or disease subcategory and established a valuable resource for further research on human glomerular disease.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE286nnn/GSE286184 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE286184 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1208086 ncbi.nlm.nih.gov/bioproject/PRJNA1208086 ↗
project · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Other
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE286184 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |