Collections / Rhythmic nephron formation in the developing kidney

Rhythmic nephron formation in the developing kidney

The mammalian kidney achieves massive parallelization of function by exponentially duplicating nephron-forming niches during development. Each niche caps a tip of the ureteric bud epithelium (the future urinary collecting duct tree) as it undergoes branching morphogenesis, while nephron progenitors within niches balance self-renewal and differentiation to early nephron cells. Nephron formation rate approximately matches branching rate over a large fraction of mouse gestation, yet the nature of this apparent pace-maker is unknown. Here we correlate spatial transcriptomics data with branching ‘life-cycle’ to discover rhythmically alternating signatures of nephron progenitor differentiation and renewal across Wnt, Hippo/Yap, retinoic acid (RA), and other pathways. Our data bring temporal resolution to the renewal vs. differentiation balance in the nephrogenic niche and inform new strategies to achieve self-sustaining nephron formation in synthetic human kidney tissues.

Datasets11
Size~137 GB
Assay10x Xenium
Samplemultiple · kidney
KindOther
Flag a data issue
www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE315435 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse315435")
cohort.members        # the 11 datasets as a table

print(cohort.licenses())              # check the terms before you download

sdatas = cohort.to_dict()             # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/")
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse315435")
coll.ordered_artifacts.to_dataframe()   # the 11 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse315435 --dest data/

Licenses: 11 NCBI GEO policy

Open in Vitessce
10x Xenium
Human kidney
GSM9428111
human kidney 16.3 GB 433,710 cells silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size16.3 GB
Cells433,710
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse kidney
GSM9428103
mouse kidney 15.3 GB 329,957 cells silver NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissuekidney
Size15.3 GB
Cells329,957
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse kidney
GSM9428104
mouse kidney 5.1 GB 111,807 cells silver NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissuekidney
Size5.1 GB
Cells111,807
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse kidney
GSM9428106
mouse kidney 15.1 GB 328,589 cells silver NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissuekidney
Size15.1 GB
Cells328,589
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM9428109
human kidney 13.8 GB 288,214 cells silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size13.8 GB
Cells288,214
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM9428108
human kidney 7.3 GB 188,382 cells silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size7.3 GB
Cells188,382
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse kidney
GSM9428105
mouse kidney 14.2 GB 304,788 cells silver NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissuekidney
Size14.2 GB
Cells304,788
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse kidney
GSM9428101
mouse kidney 10.1 GB 172,225 cells silver NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissuekidney
Size10.1 GB
Cells172,225
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM9428110
human kidney 12.0 GB 295,662 cells silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size12.0 GB
Cells295,662
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM9428107
human kidney 14.2 GB 338,916 cells silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size14.2 GB
Cells338,916
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse kidney
GSM9428102
mouse kidney 13.9 GB 244,107 cells silver NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissuekidney
Size13.9 GB
Cells244,107
silver NCBI GEO policy Open in Vitessce

Cite this collection

No linked publication found — please cite the data source.