Mid-Lobular Hepatocytes Exhibit Transient Proliferation Pause and Stress Response through Atf4-Ddit3 axis in Early Acute Liver Injury (10x Visium)
Liver zonation remains a critical aspect of understanding its response to acute injury. This study investigates the impact of acetaminophen-induced acute liver injury on zonal heterogeneity during early phases of injury. Through Ki67 staining, we observed a transient pause in proliferation specifically among mid-lobular hepatocytes during the initiation phase. Using spatial transcriptomics, immunostaining, and in vivo assays, we elucidated that mid-lobular hepatocytes upregulate the Atf4-Ddit3 axis, offering temporary protection at the cost of reduced proliferation mediated by Btg2. Our findings underscore the unique zonal metabolism of acetaminophen as a determinant of differential tissue responses across lobular regions. This study highlights how distinct liver zones exhibit varied responses during the early stages of acute injury, with mid-lobular hepatocytes showing an integrated stress response characterized by protective mechanisms that temporarily suppress proliferation.
from sddb import Catalog
cohort = Catalog().collection("geo-gse272564")
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-gse272564")
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-gse272564 --dest data/ Licenses: 4 NCBI GEO policy
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