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~71 GB
AssayVisium
Samplemultiple · brain
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="doi-10.1038/s41587-023-01937-y")
coll.ordered_artifacts.df() # the 19 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
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}
}