import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="doi-10.1016/j.immuni.2022.02.001")
coll.ordered_artifacts.df() # the 24 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}
About the study
Tertiary lymphoid structures generate and propagate anti-tumor antibody-producing plasma cells in renal cell cancer.
@article{Meylan_2022,
title = {Tertiary lymphoid structures generate and propagate anti-tumor antibody-producing plasma cells in renal cell cancer},
volume = {55},
ISSN = {1074-7613},
url = {http://dx.doi.org/10.1016/j.immuni.2022.02.001},
DOI = {10.1016/j.immuni.2022.02.001},
number = {3},
journal = {Immunity},
publisher = {Elsevier BV},
author = {Meylan, Maxime and Petitprez, Florent and Becht, Etienne and Bougoüin, Antoine and Pupier, Guilhem and Calvez, Anne and Giglioli, Ilenia and Verkarre, Virginie and Lacroix, Guillaume and Verneau, Johanna and Sun, Chen-Ming and Laurent-Puig, Pierre and Vano, Yann-Alexandre and Elaïdi, Reza and Méjean, Arnaud and Sanchez-Salas, Rafaël and Barret, Eric and Cathelineau, Xavier and Oudard, Stephane and Reynaud, Claude-Agnès and de Reyniès, Aurélien and Sautès-Fridman, Catherine and Fridman, Wolf Herman},
year = {2022},
month = Mar,
pages = {527–541.e5}
}
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