Collections / Collagen Alignment and Spatial Transcriptomics Analysis (CASTA) reveals gene programs associated with collagen alignmet in colorectal cancer
Collagen Alignment and Spatial Transcriptomics Analysis (CASTA) reveals gene programs associated with collagen alignmet in colorectal cancer
The use of immune checkpoint blockade is limited to the minority of colorectal cancers that are highly infiltrated by CD8+ T cells. Therefore, a method to improve CD8+ T-cell infiltration has the potential to expand the use immune checkpoint blockade to more patients. Barriers of aligned collagen surrounding tumors have been proposed as one mechanisim of CD8+ T-cell exclusion. We use 5 colorectal cancer patient samples to examine the relationship between collagen alignment and gene expression.
Datasets5
Size~177 MB
AssayVisium
Samplehuman · colon
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse311294")
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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