Omics · study · 2026
Hydrogel-Encapsulated Primed Mesenchymal Stem Cells Enhance Regeneration and Immune Modulation in Full-Thickness Burn Wounds
Listed in NCBI GEO
Severe burn injuries pose significant clinical challenges, with high risks of infection, excessive inflammation, and impaired wound healing.
Description
Mesenchymal stem cells (MSCs) have shown regenerative and antimicrobial potential; however, their therapeutic efficacy is constrained by poor survival and engraftment. Here, we demonstrate that priming MSCs with insulin-secreting cells (ISCs) and encapsulating them in hydrogels (HEMI) enhances their regenerative function, leading to accelerated healing of full-thickness burns in a porcine model.
Wounds treated with HEMIs achieved 80% closure within five weeks, compared to 50% in MSC-only and 0% in standard-of-care controls. Histological analysis revealed complete epidermal and dermal regeneration with minimal fibrosis in HEMI-treated wounds. Single-cell RNA sequencing (scRNA-seq) and differentially abundant sequencing (DA-seq) analysis identified distinct MSC subpopulations transitioning from a proliferative to a tissue-remodeling phenotype, with insulin priming promoting pathways involved in extracellular matrix (ECM) stabilization, immune modulation, and oxidative stress resistance.
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Our findings suggest that insulin priming enhances MSC-mediated tissue repair via paracrine mechanisms, providing a clinically translatable strategy for improving burn treatment and regenerative medicine applications.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE307nnn/GSE307777 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE307777 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1327317 ncbi.nlm.nih.gov/bioproject/PRJNA1327317 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE307777 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |