Phenylalanine Reprograms TLS Maturation and Plasma cell differentiation in MASH-HCC [Spatial Transcriptomics]
Metabolic dysfunction–associated steatohepatitis (MASH) is a rapidly growing cause of hepatocellular carcinoma (HCC) and is associated with poor clinical outcomes and limited responsiveness to immune checkpoint inhibitors. Emerging evidence suggests that immune dysregulation within the tumor microenvironment contributes to disease progression; however, the transcriptional programs distinguishing MASH-associated HCC from non-MASH HCC remain incompletely characterized. To address this gap, we performed bulk RNA sequencing on total RNA isolated from MASH and non-MASH tumor tissues. This dataset was generated to enable comparative transcriptomic analysis of tumor-intrinsic and immune-related pathways associated with MASH-driven hepatocarcinogenesis, with particular relevance to immune organization, metabolic stress responses, and tumor–immune interactions.The resulting RNA-seq data provide a resource for investigating alterations in immune cell–associated gene signatures, metabolic pathways, and microenvironmental features that may underlie immune dysfunction in MASH-HCC.
from sddb import Catalog
cohort = Catalog().collection("geo-gse318726")
cohort.members # the 7 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-gse318726")
coll.ordered_artifacts.to_dataframe() # the 7 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-gse318726 --dest data/ Licenses: 7 NCBI GEO policy
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