Collections / Human and mouse adrenal glands are characterized by species-specific steroidogenic states and tissue turnover [Spatial Transcriptomics]

Human and mouse adrenal glands are characterized by species-specific steroidogenic states and tissue turnover [Spatial Transcriptomics]

The adrenal gland is a fundamental endocrine organ exhibiting constant renewal. Despite extensive work in rodents, human-specific aspects of hormone-producing cell populations, stem cells, and self-renewal mechanisms are not fully understood. To fill this knowledge gap and address species-specific features, we generated high density single-cell and spatial transcriptomics atlases of adult human and mouse adrenal glands using Visium, VisiumHD and Stereo-seq, covering a spectrum of sexes and ages. Our comparisons between human and murine adrenal gland revealed significant evolutionary divergence despite homology in function of specific regions, which questiones the applicability of mouse models in studies of human adrenal disorders. Self-renewal mechanisms in adrenocortical populations that were previously discovered in mice also revealed human-specific features or were confronted by human-specific transitions not evident in rodents. The latter included specific perivascular mesenchymal progenitors, and dispersed SF1+/EZH2+ progenitor cells, which implies that human adrenocortical cells may be renewed in a localized manner in addition to the centripetal model. We also engaged in cross-comparison of our adult human adrenals with fetal stages to reveal developmental strategies still operating as a part of self-renewal in adults. Unexpectedly, human SF1+/EZH2+ progenitors turned out to be operating during adrenocortical development and later during adult stages, albeit in different degrees. At last, we revealed sex-specific differences in human cholesterol metabolism and other features reflecting human and mouse sexual dimorphism in adrenal glands. Overall, our new comparative mouse-human atlases shall provide an additional resource for further molecular interrogations of adrenal gland biology and pathology.

Datasets4
Size~120 MB
AssayVisium
Samplehuman · adrenal gland
KindOther
PMID:42711427 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse253850")
coll.ordered_artifacts.df()                 # the 4 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]

# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}
Open in Vitessce
Visium
Human adrenal gland
GSM8028753
human adrenal gland 25 MB 4,992 obs silver H&E
TechnologyVisium
Organismhuman
Tissueadrenal gland
Size25 MB
Obs4,992
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human adrenal gland
GSM8028754
human adrenal gland 39 MB 4,992 obs silver H&E
TechnologyVisium
Organismhuman
Tissueadrenal gland
Size39 MB
Obs4,992
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human adrenal gland
GSM8028756
human adrenal gland 29 MB 4,992 obs silver H&E
TechnologyVisium
Organismhuman
Tissueadrenal gland
Size29 MB
Obs4,992
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human adrenal gland
GSM8028755
human adrenal gland 28 MB 4,992 obs silver H&E
TechnologyVisium
Organismhuman
Tissueadrenal gland
Size28 MB
Obs4,992
silver H&E Open in Vitessce

Cite this collection

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