Vascular STING activation facilitates NK cell anti-tumor immunity in small cell lung cancer [Spatial_Transcriptome]
Small cell lung cancer (SCLC) typically displays a "cold" tumor microenvironment with a paucity of immune infiltrate. Neuroendocrine SCLC cells also profoundly repress MHC-I expression, rendering them vulnerable to NK cell-mediated cytotoxicity. Here, we confirm that neuroendocrine SCLC cells are sensitive to NK cell mediated attack, yet quantitative spatial profiling of the SCLC immune microenvironment in patient samples reveals that effector immune cells, including NK cells, are excluded from MHC-Ilow/neg SCLC regions. To study this biology, we develop dynamic single cell RNA sequencing of microphysiological immune tumor environments (DynaMITE-seq) and integrate findings with spatial transcriptomics in patient tissue, unveiling the microvasculature as a major checkpoint restricting NK cell extravasation/recruitment. We demonstrate that activation of vascular Stimulator of Interferon Genes (STING) signaling restores NK cell infiltration and killing of neuroendocrine SCLC, suggesting a strategy to overcome this key SCLC immunologic barrier and prime therapeutic response to DLL3-targeted CAR-NK cell therapy.
from sddb import Catalog
cohort = Catalog().collection("geo-gse318867")
cohort.members # the 3 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/") 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-gse318867")
coll.ordered_artifacts.to_dataframe() # the 3 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] # sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse318867 --dest data/ Licenses: 3 NCBI GEO policy
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