Collections / Prenatal DBP Exposure Dysregulate Fetal-Placenta Spatial Transcriptomic Profiles
Prenatal DBP Exposure Dysregulate Fetal-Placenta Spatial Transcriptomic Profiles
Dibutyl phthalate (DBP), a phthalate congener, is widely utilized in consumer products and medication coatings. Women of reproductive age have a significant burden of DBP exposure. Prenatal DBP exposure is associated with adverse pregnancy/fetal outcomes in the offspring. However, the role of fetal sex and the general mechanisms underlying DBP exposure-associated adverse pregnancy outcomes are unclear. This study characterized fetal sex-specific spatial transcriptomic responses in gestational day 18.5 mouse placentas from fetuses with and without prenatal DBP exposure.
Datasets12
Size~471 MB
AssayVisium
Samplemouse · placenta
KindComparison
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse333401")
cohort.members # the 12 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-gse333401")
coll.ordered_artifacts.to_dataframe() # the 12 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-gse333401 --dest data/ Licenses: 12 NCBI GEO policy
Member datasets · 12
Cite this collection
doi.org/10.64898/2026.07.11.732137 ↗ BibTeX
@article{Yang_2026,
title = {Prenatal Dibutyl Phthalate Exposure Dysregulates Fetal-Placental Vascular Function and Placental Vasculature-Specific Lipid Metabolism},
url = {http://dx.doi.org/10.64898/2026.07.11.732137},
DOI = {10.64898/2026.07.11.732137},
publisher = {openRxiv},
author = {Yang, Xinran and Kadlec, Dilen and Schultz, Jordan and Craig, Zelieann R. and Zhou, Chi},
year = {2026},
month = July
}