Omics · study · 2026
Single-Cell Spatial Mapping of Human Kidney Development Reveals Cellular Niches and Lineage Dynamics
Listed in NCBI GEO
Organ development is shaped by both cell-autonomous changes and critical environmental cues.
Description
While single-cell genomic tools have enabled the characterization of gene expression and regulatory transitions during development, they have not fully captured the influence of neighboring cells. In this study, we combined single-cell spatial transcriptomics with gene expression data to investigate how cellular interactions influence human kidney development.
By analyzing a large collection of fetal human kidney samples, we defined cellular differentiation patterns and uncovered two novel differentiation trajectories for parietal epithelial cells, suggesting greater developmental plasticity than previously recognized. Furthermore, using spatial gene expression data we identify novel spatially plausible ligand-receptor interactions that likely mediate differentiation processes.
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Among these, we highlight the role of WNT, FGF, and RET signaling, which have been classically described in mouse nephrogenesis but are now observed in human kidney development. In examining ligand expression, we estimate and quantify the microenvironment for each cell, enabling us to identify ligands associated with driving differentiation trajectories, and identify microenvironments which predict gene expression within cell types and differentiation status.
Using this approach, we identified IGF2-mediated signaling as enriched within the blastema and associated with renewal signals suggesting its role as a niche renewal factor. This finding may explain the alterations in nephrogenesis associated with uncontrolled maternal diabetes, providing new insights how the local cellular environment shapes cellular differentiation in the kidney and potential therapeutic interventions.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE277nnn/GSE277893 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE277893 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1164719 ncbi.nlm.nih.gov/bioproject/PRJNA1164719 ↗
project · from NCBI GEO
- PubMed 42533102 pubmed.ncbi.nlm.nih.gov/42533102 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Biochemistry and cell biology 74%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE277893 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3101 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (74%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| 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 |