Single cell and spatial sequencing analysis of cancer associated fibroblasts in the brain metastasis tumor microenvironment
Brain metastasis (BM) remains largely incurable. Cancer-associated fibroblasts (CAFs) can either support or inhibit tumor growth in the tumor microenvironment (TME), yet their roles in BM remain under-described. Here we report a single-cell and spatial sequencing analysis of human BM tissues and define four transcriptionally distinct CAF subpopulations. BM CAF subpopulations are characterized by either extracellular matrix (ECM), immune, contractile, or neural features, and show distinct spatial distributions within the BM TME. Further analyses reveal that BM CAFs engage extensively in cell-cell communication and adopt distinct cell states, including an ECM CAF cell state marked by high levels of immunoglobulin superfamily containing leucine rich repeat expression (ISLR-CAFs). Functionally, ISLR-CAFs reduce BM tumor cell viability in vitro, consistent with a tumor-inhibitory role. These findings highlight the heterogeneity and plasticity of CAFs in BM, emphasizing the importance of precision in defining stromal contributions to disease progression and therapeutic response.
from sddb import Catalog
cohort = Catalog().collection("geo-gse320505")
cohort.members # the 4 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-gse320505")
coll.ordered_artifacts.to_dataframe() # the 4 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-gse320505 --dest data/ Licenses: 4 NCBI GEO policy
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