Collections / Spatiotemporal dynamics of the cardioimmune niche during lesion repair [spatial]

Spatiotemporal dynamics of the cardioimmune niche during lesion repair [spatial]

[Note: Some files can only be opened in R or Python. If you have trouble opening them, please don't hesitate to contact Andy Chan, email: shing-fung.chan@uni-wuerzburg.de] The heart is one of the least regenerative organs in humans, and heart disease is the leading cause of death worldwide. Understanding the cellular and molecular processes during cardiac wound healing is an essential prerequisite to reduce health burden and improve cardiac function after myocardial tissue damage. By integrating single-cell RNA-sequencing with imaging-based spatial transcriptomics, we reconstructed the spatiotemporal dynamics of the fibrotic niche after ventricular injury in adult mice. Our analysis revealed dynamic regulation of local cell communication niches over time. We identified interactions that regulate cardiac repair, including fibroblast proliferation silencing by Trem2high macrophages that prevents excessive fibrosis. Moreover, we discovered a rare population of dedifferentiating cardiomyocytes early post-lesioning repair, sustained by signals from myeloid and lymphoid cells. Culturing non-regenerative mouse cardiomyocytes or human heart tissue with these niche factors reactivated progenitor gene expression and cell cycle activity. In summary, this spatiotemporal cell type atlas offers valuable insights into the heterocellular interactions that control cardiac repair.

Datasets7
Size~2.0 GB
Assay10x Xenium
Samplemouse · heart left ventricle
KindComparison
Flag a data issue
PMID:41184578 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse280376")
cohort.members        # the 7 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-gse280376")
coll.ordered_artifacts.to_dataframe()   # the 7 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-gse280376 --dest data/

Licenses: 7 NCBI GEO policy

Open in Vitessce
10x Xenium
Mouse heart left ventricle
GSM9460459
mouse heart left ventricle 288 MB 40,754 cells bronze NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissueheart left ventricle
Size288 MB
Cells40,754
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse heart left ventricle
GSM8595803
mouse heart left ventricle 111 MB 14,191 cells bronze NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissueheart left ventricle
Size111 MB
Cells14,191
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse heart left ventricle
GSM9460463
mouse heart left ventricle heart disorder 440 MB 61,437 cells bronze NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissueheart left ventricle
Conditionheart disorder
Size440 MB
Cells61,437
bronze NCBI GEO policy Open in Vitessce
10x Xenium
Mouse heart left ventricle
GSM8595804
mouse heart left ventricle heart disorder 162 MB 27,737 cells bronze NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissueheart left ventricle
Conditionheart disorder
Size162 MB
Cells27,737
bronze NCBI GEO policy
Open in Vitessce
10x Xenium
Mouse heart left ventricle
GSM9460461
mouse heart left ventricle heart disorder 282 MB 38,903 cells bronze NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissueheart left ventricle
Conditionheart disorder
Size282 MB
Cells38,903
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse heart left ventricle
GSM9460462
mouse heart left ventricle heart disorder 382 MB 46,213 cells bronze NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissueheart left ventricle
Conditionheart disorder
Size382 MB
Cells46,213
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Mouse heart left ventricle
GSM8595805
mouse heart left ventricle heart disorder 382 MB 35,946 cells bronze NCBI GEO policy
Technology10x Xenium
Organismmouse
Tissueheart left ventricle
Conditionheart disorder
Size382 MB
Cells35,946
bronze NCBI GEO policy Open in Vitessce

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