Germinal Center Dark Zone harbors ATR-dependent determinants of T-cell exclusion that are also identified in aggressive lymphoma – Visium_FFPE_Spatial_Trasciptomics_project
The germinal center (GC) dark zone (DZ) and light zone (LZ) regions spatially separate expansion and diversification from selection of antigen-specific B-cells to ensure antibody affinity maturation and B cell memory. How GC polarity is established is poorly understood. This study provides novel insights into signals controlling asymmetric T-cell distribution between DZ and LZ regions. We identify spatially-resolved DNA damage response and chromatin compaction molecular features precluding DZ T-cell infiltration. The DZ spatial transcriptional signature linked to T-cell immune evasion clustered aggressive Diffuse Large B-cell Lymphomas (DLBCL) for differential T cell infiltration. We reveal the dependence of the DZ transcriptional core signature on the ATR kinase and dissect its role in restraining inflammatory responses contributing to estabslish an immune-repulsive imprint in DLBCL. These insights may guide ATR-focused treatment strategies bolstering immunotherapy in tumors marked by DZ transcriptional and chromatin-associated features.
from sddb import Catalog
cohort = Catalog().collection("geo-gse260998")
cohort.members # the 2 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-gse260998")
coll.ordered_artifacts.to_dataframe() # the 2 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-gse260998 --dest data/ Licenses: 2 NCBI GEO policy
Cite this collection
doi.org/10.21203/rs.3.rs-4093618/v1 ↗@article{Tripodo_2024,
title = {Germinal Center Dark Zone harbors ATR-dependent determinants of T-cell exclusion that are also identified in aggressive lymphoma},
url = {http://dx.doi.org/10.21203/rs.3.rs-4093618/v1},
DOI = {10.21203/rs.3.rs-4093618/v1},
publisher = {Springer Science and Business Media LLC},
author = {Tripodo, Claudio and Cancila, Valeria and Morello, Gaia and Bertolazzi, Giorgio and Chan, Allison Si-Yu and Bastianello, Giulia and Paysan, Daniel and Jaynes, Patrick William and Schiavoni, Giovanna and Mattei, Fabrizio and Piconese, Silvia and Revuelta, Maria and Noto, Francesco and De Ninno, Adele and Cammarata, Ilenia and Pagni, Fabio and Venkatachalapathy, Saradha and Sangaletti, Sabina and Napoli, Arianna Di and Vacca, Davide and Lonardi, Silvia and Lorenzi, Luisa and Ferreri, Andrés J M and Belmonte, Beatrice and Varano, Gabriele and Colombo, Mario Paolo and Bicciato, Silvio and Inghirami, Giorgio and Cerchietti, Leandro and Ponzoni, Maurilio and Zappasodi, Roberta and Facchetti, Fabio and Foiani, Marco and Casola, Stefano and Jeyasekharan, Anand D},
year = {2024},
month = Mar
}