Collections / Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in Desmoplastic Small Round Cell Tumors [Visium: Spatial transcriptomics]
Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in Desmoplastic Small Round Cell Tumors [Visium: Spatial transcriptomics]
Desmoplastic Small Round Cell Tumor (DSRCT) is a rare, aggressive sarcoma driven by the EWSR1-WT1 chimeric transcription factor. Despite this unique oncogenic driver, DSRCT displays a polyphenotypic differentiation of unknown causality. Using single-cell multi-omics on samples from patients, we find that DSRCT tumor cells cluster into consistant subpopulations with partially overlapping lineage- and metabolism-related transcriptional programs.
Datasets6
Size~271 MB
AssayVisium
Samplehuman · peritoneum
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse267806")
coll.ordered_artifacts.df() # the 6 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()} Member datasets · 6
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