Collections / Spatial transcriptomic analysis of a pre-clinical NF1 pseudarthrosis fracture model
Spatial transcriptomic analysis of a pre-clinical NF1 pseudarthrosis fracture model
Patients with Neurofibromatosis Type 1 (NF1) present with fracture pseudarthroses, though the exact mechanism underlying this abnormal healing remains unknown. Here, we performed spatial transcriptomics to spatially-define the molecular signatures across endochondral healing following fracture. Integrating single-cell sequencing of patient fracture-derived primary cells, our results provide a dynamic cellular context to the molecular dysregulation associated with somatic fracture healing defects in NF1.
Datasets2
Size~66.3 MB
AssayVisium
Samplemouse · tibia
KindOther
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse218046")
cohort.members # the 2 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-gse218046")
coll.ordered_artifacts.to_dataframe() # the 2 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-gse218046 --dest data/ Licenses: 2 NCBI GEO policy
Member datasets · 2
Cite this collection
doi.org/10.1172/jci.insight.176802 ↗ BibTeX
@article{Rios_2024,
title = {Spatial transcriptomics implicates impaired BMP signaling in NF1 fracture pseudarthrosis in murine and patient tissues},
volume = {9},
ISSN = {2379-3708},
url = {http://dx.doi.org/10.1172/jci.insight.176802},
DOI = {10.1172/jci.insight.176802},
number = {16},
journal = {JCI Insight},
publisher = {American Society for Clinical Investigation},
author = {Rios, Jonathan J. and Juan, Conan and Shelton, John M. and Paria, Nandina and Oxendine, Ila and Wassell, Meghan and Kidane, Yared H. and Cornelia, Reuel and Jeffery, Elise C. and Podeszwa, David A. and Conway, Simon J. and Wise, Carol A. and Tower, Robert J.},
year = {2024},
month = July
}