Collections / Deciphering head and neck cancer microenvironment: Single‐cell and spatial transcriptomics reveals human papillomavirus‐associated differences
Deciphering head and neck cancer microenvironment: Single‐cell and spatial transcriptomics reveals human papillomavirus‐associated differences
Human papillomavirus (HPV) is a major causative factor of head and neck squamous cell carcinoma (HNSCC), and the incidence of HPV-associated HNSCC is increasing. The role of tumor microenvironment (TME) in viral infection and metastasis needs to be explored further. Thus we studied the molecular characteristics of primary tumors (PTs) and lymph node metastatic tumors (LNMTs) by stratifying them based on their HPV status using spatial transcriptomics.
Datasets5
Size~122 MB
AssayVisium
Samplehuman · multiple
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse281978")
coll.ordered_artifacts.df() # the 5 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 · 5
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