Collections / Spatial deconvolution of tertiary lymphoid structure in human IPF lungs revealed novel CCL19-expressing mural cells

Spatial deconvolution of tertiary lymphoid structure in human IPF lungs revealed novel CCL19-expressing mural cells

Tertiary lymphoid structures (TLS) are commonly observed in human idiopathic pulmonary fibrosis (IPF) lungs. The specific immune and non-immune cells in the TLS of IPF patients, and the factors that drive TLS formation, remain largely unknown. Here we spatially deconvoluted immune and non-immune cells in the TLS of human IPF lungs, and examined the signals underlying TSL development in IPF patients. We identified a novel subset of CCL19hi-IPF-associated-mural cells (CCL19hiIAMC) that enveloped the vessels inside the TLS. CCL19hiIAMCs were the major source of CCL19 inside the TLS of IPF lungs, attracting T/B lymphocytes and unique CCR7+DCs to drive TLS formation. CCL19hiIAMCs also provided other pro-TLS and proinflammatory molecules to promote lymphocyte maturation and tissue inflammation. Our data also reveal that various IPF-associated fibroblasts surrounded the TLS, promoting TLS development and plasma cells dissemination via CXCL12/CXCR4 signaling. CCR7 and CXCR4 signaling attracted lymphocytes and DCs that upregulated pro-TLS genes in the IPF microenvironment to enhance TLS formation. Together, these findings have deconvoluted the cell subsets and their transcriptomes in the TLS of IPF lungs and suggest that novel CCL19hiIAMCs may drive TLS formation in collaboration with various immune cells and fibroblasts.

Datasets14
Size~795 MB
AssayVisium
Samplehuman · lung
KindComparison
Flag a data issue
PMID:39978854 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse248082")
cohort.members        # the 14 datasets as a table

print(cohort.licenses())              # check the terms before you download

sdatas = cohort.to_dict()             # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/")
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse248082")
coll.ordered_artifacts.to_dataframe()   # the 14 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse248082 --dest data/

Licenses: 14 NCBI GEO policy

Open in Vitessce
Visium
Human lung
GSM8087031
human lung 49.3 MB 4,332 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Size49.3 MB
Spots4,332
Magnificationother · 3.070 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905764
human lung obsolete idiopathic pulmonary fibrosis 91.6 MB 4,076 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size91.6 MB
Spots4,076
Magnificationother · 3.212 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905763
human lung obsolete idiopathic pulmonary fibrosis 87.6 MB 4,430 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size87.6 MB
Spots4,430
Magnificationother · 3.037 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM8087038
human lung obsolete idiopathic pulmonary fibrosis 16.4 MB 2,753 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size16.4 MB
Spots2,753
Magnificationother · 3.485 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905760
human lung obsolete idiopathic pulmonary fibrosis 24.6 MB 2,611 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size24.6 MB
Spots2,611
Magnificationother · 3.459 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905761
human lung obsolete idiopathic pulmonary fibrosis 67.0 MB 4,721 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size67.0 MB
Spots4,721
Magnificationother · 3.277 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM8087032
human lung 11.9 MB 2,944 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Size11.9 MB
Spots2,944
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905765
human lung obsolete idiopathic pulmonary fibrosis 95.4 MB 4,235 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size95.4 MB
Spots4,235
Magnificationother · 3.100 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM8087034
human lung 10.6 MB 1,798 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Size10.6 MB
Spots1,798
Magnificationother · 3.460 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905766
human lung obsolete idiopathic pulmonary fibrosis 76.9 MB 4,117 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size76.9 MB
Spots4,117
Magnificationother · 3.286 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905768
human lung obsolete idiopathic pulmonary fibrosis 102 MB 4,653 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size102 MB
Spots4,653
Magnificationother · 3.625 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905767
human lung obsolete idiopathic pulmonary fibrosis 96.8 MB 4,458 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size96.8 MB
Spots4,458
Magnificationother · 3.282 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM7905762
human lung obsolete idiopathic pulmonary fibrosis 43.1 MB 4,650 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Conditionobsolete idiopathic pulmonary fibrosis
Size43.1 MB
Spots4,650
Magnificationother · 3.108 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human lung
GSM8087033
human lung 22.1 MB 3,393 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuelung
Size22.1 MB
Spots3,393
Magnificationother · 2.955 µm/px
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1183/13993003.01114-2024 ↗
BibTeX
@article{Yang_2025,
  title = {Distinct mural cells and fibroblasts promote pathogenic plasma cell accumulation in idiopathic pulmonary fibrosis},
  volume = {65},
  ISSN = {1399-3003},
  url = {http://dx.doi.org/10.1183/13993003.01114-2024},
  DOI = {10.1183/13993003.01114-2024},
  number = {6},
  journal = {European Respiratory Journal},
  publisher = {European Respiratory Society (ERS)},
  author = {Yang, Zhi and Cao, Gaoyuan and Tan, Xiaosheng and Orfanos, Sarah and Jude, Joseph and Barbet, Gaetan and An, Steven S. and Jiang, Dianhua and Panettieri, Reynold A. and Yang, Qi},
  year = {2025},
  month = Feb,
  pages = {2401114}
}