Collections / Identification of a long-term surviving human mesenchymal stromal cell subpopulation upon intradermal injection in immunodeficient mice

Identification of a long-term surviving human mesenchymal stromal cell subpopulation upon intradermal injection in immunodeficient mice

Background Recessive dystrophic epidermolysis bullosa (RDEB) is a severe skin disease caused by loss-of-function mutations in COL7A1 encoding type VII collagen (C7). Patients with RDEB suffer since birth from skin and mucosal blistering and develop severe local and systemic complications resulting in poor prognosis. Mesenchymal stromal cells (MSCs) demonstrated potential to improve wound healing and skin inflammation in RDEB patients due to their anti-inflammatory properties and capacity to express C7. The aim of this work was to optimize in vitro conditioning of human bone marrow-derived MSCs (BM-MSCs) to improve their survival following local injection in a murine model. Methods BM-MSCs from healthy donors were transduced with a lentiviral vector encoding firefly luciferase and mCherry reporter proteins and were subjected to various culture conditions: monolayer on plastic or spheroid culture, either in hypoxia (5% O2) or in normoxia (21% O2). These cells were subsequently injected intradermally (ID) in immunodeficient mice and their survival was assessed by in vivo imaging. BM-MSCs populations were analyzed prior to injection by single-cell RNA sequencing (scRNAseq). Murine skin injected with BM-MSCs were sampled two months post-injection and the surviving subpopulations were characterized by spatial transcriptomic. Results scRNAseq analysis revealed notable variations between monolayer and spheroid conditions, however oxygen level did not impact significantly the cell populations. Although most injected cells gradually died within the first two months in all tested conditions, 1% of live bioluminescent cells persisted for 54 up to 61 weeks post-injection. Spatial transcriptomics data demonstrated that all surviving cells, regardless of their in vitro preconditioning, retained THY1, ENG, and NT5E expression, shared features with fibroblasts, and exhibited enriched expression in genes related to extracellular matrix and collagen fibril organization, key processes in wound healing. Additionally, spatial transcriptomic and scRNAseq data integration suggested that surviving BM-MSCs were initially present in the injected population, regardless of their culture condition. Remarkably, none of the in vitro preconditioning strategies appeared to affect their survival capacity or functional properties following local injection. Conclusions The identification and characterization of a BM-MSC subpopulation capable of long-term survival following ID injection hold promise for the development of improved cell therapy protocols for RDEB.

Datasets7
Size~92.0 MB
AssayVisium
Samplehuman · skin of body
KindComparison
Flag a data issue
PMID:42365332 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse313471")
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-gse313471")
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-gse313471 --dest data/

Licenses: 7 NCBI GEO policy

Open in Vitessce
Visium
Human skin of body
GSM9368377
human skin of body 14.3 MB 2,102 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Size14.3 MB
Spots2,102
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM9368378
human skin of body 13.5 MB 1,941 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Size13.5 MB
Spots1,941
Magnificationother · 3.380 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM9368374
human skin of body 13.4 MB 1,871 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Size13.4 MB
Spots1,871
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM9368375
human skin of body 13.9 MB 1,814 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Size13.9 MB
Spots1,814
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM9368379
human skin of body 13.2 MB 2,008 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Size13.2 MB
Spots2,008
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM9368376
human skin of body 12.4 MB 1,833 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Size12.4 MB
Spots1,833
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM9368380
human skin of body 11.5 MB 1,712 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Size11.5 MB
Spots1,712
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1186/s13287-026-05101-6 ↗
BibTeX
@article{Bonnet_des_Claustres_2026,
  title = {Identification of a long-term surviving human mesenchymal stromal cell subpopulation and implications for recessive dystrophic epidermolysis bullosa treatment},
  volume = {17},
  ISSN = {1757-6512},
  url = {http://dx.doi.org/10.1186/s13287-026-05101-6},
  DOI = {10.1186/s13287-026-05101-6},
  number = {1},
  journal = {Stem Cell Research & Therapy},
  publisher = {Springer Science and Business Media LLC},
  author = {Bonnet des Claustres, Mathilde and Gaucher, Sonia and Carbone, Francesco and Peltzer, Juliette and Luka, Marine and Masson, Cécile and Nitschké, Patrick and Hovnanian, Alain and Titeux, Matthias},
  year = {2026},
  month = June
}