Collections / Spatial Multimodal Analysis: MALDI-MSI and Spatial Transcriptomics within the same tissue section
Spatial Multimodal Analysis: MALDI-MSI and Spatial Transcriptomics within the same tissue section
Datasets19
Size~76.1 GB
AssayVisium
Samplemultiple · brain
KindComparison
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("doi-10-1038-s41587-023-01937-y")
cohort.members # the 19 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/") Python · lamindb
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="doi-10.1038/s41587-023-01937-y")
coll.ordered_artifacts.to_dataframe() # the 19 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection doi-10-1038-s41587-023-01937-y --dest data/ Licenses: 19 CC BY-NC-SA 4.0
About the study
Spatial multimodal analysis of transcriptomes and metabolomes in tissues.
We present a spatial omics approach that combines histology, mass spectrometry imaging and spatial transcriptomics to facilitate precise measurements of mRNA transcripts and low-molecular-weight metabolites across tissue regions. The workflow is compatible with commercially available Visium glass slides. We demonstrate the potential of our method using mouse and human brain samples in the context of dopamine and Parkinson's disease.
Member datasets · 19
Cite this collection
doi.org/10.1038/s41587-023-01937-y ↗ BibTeX
@article{Vicari_2023,
title = {Spatial multimodal analysis of transcriptomes and metabolomes in tissues},
volume = {42},
ISSN = {1546-1696},
url = {http://dx.doi.org/10.1038/s41587-023-01937-y},
DOI = {10.1038/s41587-023-01937-y},
number = {7},
journal = {Nature Biotechnology},
publisher = {Springer Science and Business Media LLC},
author = {Vicari, Marco and Mirzazadeh, Reza and Nilsson, Anna and Shariatgorji, Reza and Bjärterot, Patrik and Larsson, Ludvig and Lee, Hower and Nilsson, Mats and Foyer, Julia and Ekvall, Markus and Czarnewski, Paulo and Zhang, Xiaoqun and Svenningsson, Per and Käll, Lukas and Andrén, Per E. and Lundeberg, Joakim},
year = {2023},
month = Sept,
pages = {1046–1050}
}