Collections / Spatial analyses of early, untreated SSc skin identify a proinflammatory vascular niche of macrophage-fibroblast signaling

Spatial analyses of early, untreated SSc skin identify a proinflammatory vascular niche of macrophage-fibroblast signaling

Uncovering the early interactions and spatial distribution of dermal fibroblasts and immune cells in treatment-naïve diffuse cutaneous systemic sclerosis (dcSSc) patients is critical to understanding the initiating events skin fibrosis. We generated an integrated multiomic dataset of early, treatment naïve dcSSc skin. Skin biopsies were analyzed by single-nuclei multiome sequencing (snRNA-seq and snATAC-seq) and two different paired spatial transcriptomic platforms to comprehensively describe the molecular changes in these individuals. We identified a proinflammatory niche within papillary, hypodermis, and vascular niches, that are enriched for activated myeloid cells and proinflammatory fibroblasts characterized by expression of proinflammatory cytokines. Pathway analyses showed significant enrichment of PI3K-AKT-mTOR signaling pathway expression in these cellular niches, driven by profibrotic growth factor signaling networks. Macrophage subclustering showed SSc-specific macrophage activation of IL6-JAK-STAT signaling and the enrichment of oxidative phosphorylation pathways. Ligand-receptor analysis revealed that SSc macrophages secrete PDGF and TGFB to activate the inflammatory SSc-dominant fibroblast subclusters. Spatial transcriptomic analyses showed infiltrating macrophages secreted PDGF and TGFB, modulating fibroblast activation in these niches. Multiomic data integration and spatial transcriptomic neighborhood analysis showed co-localization of fibroblasts, macrophages, and T cells around the vasculature. These data suggest that interactions between activated immune cells and proinflammatory fibroblasts around vascular niches are an early event in scleroderma pathogenesis.

Datasets10
Size~14 GB
Assay10x Xenium
Samplehuman · zone of skin
KindOther
PMID:41411065 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse312932")
coll.ordered_artifacts.df()                 # the 10 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
10x Xenium
Human zone of skin
GSM9357158
human zone of skin systemic sclerosis 924 MB 6,953 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size924 MB
Obs6,953
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human zone of skin
GSM9357160
human zone of skin systemic sclerosis 995 MB 9,956 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size995 MB
Obs9,956
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human zone of skin
GSM9357162
human zone of skin systemic sclerosis 743 MB 6,431 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size743 MB
Obs6,431
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human zone of skin
GSM9357164
human zone of skin systemic sclerosis 1.3 GB 9,893 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size1.3 GB
Obs9,893
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human zone of skin
GSM9357159
human zone of skin systemic sclerosis 1.3 GB 10,967 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size1.3 GB
Obs10,967
silver NCBI GEO policy Open in Vitessce
10x Xenium
Human zone of skin
GSM9357155
human zone of skin systemic sclerosis 1.5 GB 11,788 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size1.5 GB
Obs11,788
silver NCBI GEO policy
Open in Vitessce
10x Xenium
Human zone of skin
GSM9357161
human zone of skin systemic sclerosis 1.9 GB 16,147 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size1.9 GB
Obs16,147
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human zone of skin
GSM9357163
human zone of skin systemic sclerosis 1.5 GB 15,011 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size1.5 GB
Obs15,011
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human zone of skin
GSM9357156
human zone of skin systemic sclerosis 1.8 GB 13,706 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size1.8 GB
Obs13,706
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human zone of skin
GSM9357157
human zone of skin systemic sclerosis 1.7 GB 14,700 obs silver NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuezone of skin
Conditionsystemic sclerosis
Size1.7 GB
Obs14,700
silver NCBI GEO policy Open in Vitessce

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