Decoding spatial gene activity changes in multiple sclerosis lesion progression
Multiple sclerosis (MS) is an inflammatory disease of the central nervous system characterised by myelin loss and progressive neurodegeneration. To better understand MS lesion initiation and progression, we generated spatial gene activity maps of white (WM) and grey matter (GM) MS lesions. In different MS lesion types, we detected novel transcriptional domains, including an identifiable rim around active WM lesions. These active lesion rims were characterised by changes in astrocytic, oligodendrocytic, and microglial gene activity. Furthermore, we identified three novel WM lesion trajectories, predicting how normal appearing WM could progress into WM lesions, with lesion rims, active lesion cores, and mixed active/inactive lesion cores as potential outcomes. Our findings offer new insights into MS lesion progression, and the dynamic molecular and cellular processes that underlie MS.
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse208747")
coll.ordered_artifacts.df() # the 26 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()} Cite this collection
No linked publication found — please cite the data source.