Collections / Identification of TREM1+CD163+ myeloid cells as a deleterious immune subset in HCC [Spatial Transcriptomics]
Identification of TREM1+CD163+ myeloid cells as a deleterious immune subset in HCC [Spatial Transcriptomics]
Datasets2
Size~1.4 GB
AssayVisium
Samplehuman · liver
KindReplicates
Download the whole collection
Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="doi-10.1101/2022.11.09.515839")
coll.ordered_artifacts.df() # the 2 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
TREM1 <sup>+</sup> regulatory myeloid cells expand in steatohepatitis-HCC and associate with poor prognosis and therapeutic resistance to immune checkpoint blockade
Read the abstract at the source →Member datasets · 2
Cite this collection
doi.org/10.1101/2022.11.09.515839 ↗ BibTeX
@article{Giraud_2022,
title = {TREM1
<sup>+</sup>
regulatory myeloid cells expand in steatohepatitis-HCC and associate with poor prognosis and therapeutic resistance to immune checkpoint blockade},
url = {http://dx.doi.org/10.1101/2022.11.09.515839},
DOI = {10.1101/2022.11.09.515839},
publisher = {openRxiv},
author = {Giraud, Julie and Chalopin, Domitille and Ramel, Eloïse and Boyer, Thomas and Zouine, Atika and Derieppe, Marie-Alix and Larmonier, Nicolas and Adotevi, Olivier and Bail, Brigitte Le and Blanc, Jean-Frédéric and Chiche, Laurence and Nikolski, Macha and Saleh, Maya},
year = {2022},
month = Nov
}