Collections / Spatiotemporal transcriptomic mapping of regenerative inflammation in skeletal muscle reveals a dynamic multilayered tissue architecture

Spatiotemporal transcriptomic mapping of regenerative inflammation in skeletal muscle reveals a dynamic multilayered tissue architecture

Tissue regeneration is orchestrated by macrophages that clear damaged cells and promote regenerative inflammation. How macrophages spatially adapt and diversify their functions to support the architectural requirements of actively regenerating tissue remains unknown. In this study, we reconstructed the dynamic trajectories of myeloid cells isolated from acutely injured and early-stage dystrophic muscles. We identified divergent subsets of monocytes/macrophages and dendritic cells (DCs) and validated markers (e.g., GPNMB) and transcriptional regulators associated with defined functional states. In dystrophic muscle, specialized repair-associated subsets exhibited distinct macrophage diversity and reduced DC heterogeneity. Integrating spatial transcriptomics analyses with immunofluorescence uncovered the ordered distribution of subpopulations and multilayered regenerative inflammation zones (RIZs) where distinct macrophage subsets are organized in functional zones around damaged myofibers supporting all phases of regeneration. Importantly, intermittent glucocorticoid treatment disrupted the RIZs. Our findings suggest that macrophage subtypes mediated the development of the highly ordered architecture of regenerative tissues, unveiling the principles of the structured yet dynamic nature of regenerative inflammation supporting effective tissue repair.

Datasets7
Size~97 MB
AssayVisium
Samplemouse · multiple
KindComparison
PMID:39190487 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse223813")
coll.ordered_artifacts.df()                 # the 7 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()}
Open in Vitessce
Visium
Mouse gastrocnemius
GSM6996264
mouse gastrocnemius Duchenne muscular dystrophy 14 MB 814 obs silver H&E
TechnologyVisium
Organismmouse
Tissuegastrocnemius
ConditionDuchenne muscular dystrophy
Size14 MB
Obs814
silver H&E Open in Vitessce
Open in Vitessce
Visium
Mouse gastrocnemius
GSM6996262
mouse gastrocnemius Duchenne muscular dystrophy 9.1 MB 653 obs silver H&E
TechnologyVisium
Organismmouse
Tissuegastrocnemius
ConditionDuchenne muscular dystrophy
Size9.1 MB
Obs653
silver H&E Open in Vitessce
Open in Vitessce
Visium
Mouse gastrocnemius
GSM6996261
mouse gastrocnemius Duchenne muscular dystrophy 12 MB 856 obs silver H&E
TechnologyVisium
Organismmouse
Tissuegastrocnemius
ConditionDuchenne muscular dystrophy
Size12 MB
Obs856
silver H&E Open in Vitessce
Open in Vitessce
Visium
Mouse gastrocnemius
GSM6996263
mouse gastrocnemius Duchenne muscular dystrophy 19 MB 1,589 obs silver H&E
TechnologyVisium
Organismmouse
Tissuegastrocnemius
ConditionDuchenne muscular dystrophy
Size19 MB
Obs1,589
silver H&E Open in Vitessce
Visium
Mouse tibialis anterior
GSM6996258
mouse tibialis anterior 9.2 MB 770 obs silver H&E
TechnologyVisium
Organismmouse
Tissuetibialis anterior
Size9.2 MB
Obs770
silver H&E
Open in Vitessce
Visium
Mouse tibialis anterior
GSM6996260
mouse tibialis anterior 17 MB 1,567 obs silver H&E
TechnologyVisium
Organismmouse
Tissuetibialis anterior
Size17 MB
Obs1,567
silver H&E Open in Vitessce
Open in Vitessce
Visium
Mouse tibialis anterior
GSM6996259
mouse tibialis anterior 16 MB 1,273 obs silver H&E
TechnologyVisium
Organismmouse
Tissuetibialis anterior
Size16 MB
Obs1,273
silver H&E Open in Vitessce

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