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
We present a spatial omics approach that merges and expands the capabilities of independently performedin situassays on a single tissue section. Our spatial multimodal analysis combines histology, mass spectrometry imaging, and spatial transcriptomics to facilitate precise measurements of mRNA transcripts and low-molecular weight metabolites across tissue regions. We demonstrate the potential of our method using murine and human brain samples in the context of dopamine and Parkinson’s disease.
Datasets18
Size~515 MB
AssayVisium
Samplemouse · multiple
KindTime course
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse232910")
coll.ordered_artifacts.df() # the 18 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()} Member datasets · 18
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