Collections / Defining Cellular Diversity at the Swine Maternal-Fetal Interface Using Spatial Transcriptomics and Organoids [MFI017_Visium]

Defining Cellular Diversity at the Swine Maternal-Fetal Interface Using Spatial Transcriptomics and Organoids [MFI017_Visium]

In this study we had two primary aims: 1.) spatially define the transcriptional signatures of porcine maternal-fetal interface and 2.) develop and validate an organoid model which better recapitulated the porcine placenta. Using mid-gestation maternal-fetal interfaces of commercial landrace/large white composite gilts we performed spatial transcriptomics (n=4 interfaces) using Visium v1 spatial transcriptomics. We then went on to isolate trophoblast organoids from fresh-term placentas from crossbred sows consisting</p><p>655 of Yorkshire, Large White, and Landrace breeds. We then characterized the transcriptional profile of these organoids using bulk RNA-seq from 3 seperate lines using a standard Illumina library preparation. To characterize these organoids we performed single cell RNA-sequencing on 3 separate lines of swine trophoblast organoids using a standard 10x Genomics Single Cell 3' Gene Expression platform. All reads/samples were mapped to Sus scrofa v11.1.

Datasets4
Size~64.7 MB
AssayVisium
Samplepig · placenta
KindOther
Flag a data issue
PMID:40875599 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse296975")
cohort.members        # the 4 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-gse296975")
coll.ordered_artifacts.to_dataframe()   # the 4 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-gse296975 --dest data/

Licenses: 4 NCBI GEO policy

Open in Vitessce
Visium
Pig placenta
GSM8980980
pig placenta 20.4 MB 3,740 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismpig
Tissueplacenta
Size20.4 MB
Spots3,740
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Pig placenta
GSM8980981
pig placenta 12.6 MB 3,003 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismpig
Tissueplacenta
Size12.6 MB
Spots3,003
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Pig placenta
GSM8980982
pig placenta 14.8 MB 3,234 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismpig
Tissueplacenta
Size14.8 MB
Spots3,234
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Pig placenta
GSM8980983
pig placenta 16.9 MB 3,679 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismpig
Tissueplacenta
Size16.9 MB
Spots3,679
silver H&E NCBI GEO policy Open in Vitessce

Cite this collection

No linked publication found — please cite the data source.