Omics · study · 2026
Meniscus-On-a-Chip model to delineate multi-tissue crosstalk
Listed in NCBI GEO
Meniscus has been largely ignored for the emerging research interest of multi-tissue crosstalk in knee joints.
Description
This study discovers the novel roles of three-way crosstalk between meniscus, synovial membrane, and fat in regulation of meniscus injury, degeneration, and healing. A novel meniscus-on-a-chip (MoC) model is developed, equipped with bioprinted synovial membrane, engineered fat tissue, and meniscus explant healing model, treated with bioactive glue and synovial mesenchymal stem cells (syMSCs).
Our MoC integrated with meniscus-specific bioreactor enables a comprehensive investigation into the combinational effects of inflammation and physiological/pathological loading on meniscus healing and degeneration. The MoC successfully not only replicates meniscus healing induced by bioactive glue but also the OA initiation and progression from meniscus injury. Comprehensive scRNA-seq with CellChat analysis discovers how communications between adipocytes, macrophages, fibrochondrocytes, and syMSCs regulate the fate of meniscus injury in response to exogenous stimulations.
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This study represents the first identification of essential cell-cell communication signals between meniscus, synovial membrane, fat, and syMSCs, which are responsible for regulating meniscus healing under inflammation and mechanical loading. These novel findings may have significant implications for developing next-generation therapeutics for meniscus injury and prevention of joint degeneration through regulating multi-tissue crosstalk in the joint.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE316nnn/GSE316376 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE316376 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1402394 ncbi.nlm.nih.gov/bioproject/PRJNA1402394 ↗
project · from NCBI GEO
- PubMed 42750170 pubmed.ncbi.nlm.nih.gov/42750170 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Single-cell RNA sequencing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE316376 | 15 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:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |