Imaging · study · 2026
Single-cell spatial transcriptomics reveals sex-dependent gene expression and intercellular signaling in the mouse adrenal cortex
Listed in NCBI GEO
Sexual dimorphism profoundly influences adrenal physiology and disease susceptibility, yet its molecular and spatial basis remains poorly understood.
Description
The female-predominant X-zone, a transient cortical structure recognized for nearly a century, has lacked comprehensive molecular characterization. Here we use high-resolution Visium HD spatial transcriptomics with Cellpose-based cell segmentation to generate ~203,000 near-single-cell-resolution transcriptomic profiles from sexually mature mouse adrenal glands (four male, four female).
We identify ten distinct cell populations with sex differences spatially restricted to inner cortical zones. The X-zone exhibits pronounced sexual dimorphism, with Akr1c18 (20α-hydroxysteroid dehydrogenase) as the definitive marker (log₂FC = −16.28, female-enriched), establishing the X-zone as a specialized progesterone-catabolizing endocrine compartment. Female adrenal glands exhibit greater intercellular communication complexity (435 vs 369 interactions) and higher aggregate signalling strength, with SPP1-integrin pathways enriched in the female X-zone microenvironment.
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Spatial trajectory inference reveals a dominant centripetal transcriptional gradient from the CT capsule toward the middle zona fasciculata conserved across both sexes, and a secondary centrifugal axis emanating from the JMZ/X region that is prominent in females and reflects the transcriptionally active X-zone. This spatial atlas establishes spatial restriction as a fundamental organizing principle of endocrine sexual dimorphism and provides a foundational resource for investigating sex-specific adrenal physiology, with implications for precision medicine approaches to adrenal disorders.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE312nnn/GSE312015 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE312015 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1372061 ncbi.nlm.nih.gov/bioproject/PRJNA1372061 ↗
project · from NCBI GEO
Topics
- Stated by source
- Mus musculus · Other
- From keywords
- Life Sciences
- Inferred from text
- Biochemistry and cell biology 71% · Computed tomography 50% · Disease 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE312015 | 13 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].anzsrc:group:3101 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| 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:ct | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (50%) |
| concepts[organism].NCBITaxon:10090 | 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 |