Human ovary
GSM8207504
human ovary ovarian serous adenocarcinoma 80 MB 4,577 obs silver H&E
TechnologyVisium
Organismhuman
Tissueovary
Conditionovarian serous adenocarcinoma
Obs4,577
silver H&E
Our study utilized spatial transcriptomics (ST) to interpret the tumor microenvironment to examine spatial characteristics across different sites in eight patients with HGSOC divided into recurrent (R, n = 5) and non-recurrent (NR, n = 3) groups based on a 60-month recurrence criterion. This study identified diagnostic and therapeutic targets for HGSOC, marking a step towards personalized medicine.
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse263920")
coll.ordered_artifacts.df() # the 8 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()} No linked publication found — please cite the data source.