Omics · study · 2026
Engineering Large Meniscal Tissues via 3D Printed Multipart Molds
Listed in NCBI GEO
The menisci are highly organized fibrocartilaginous tissues that provide load distribution, shock absorption, and joint lubrication in the knee.
Description
Unfortunately, the meniscus is commonly injured, and due to the low intrinsic healing capacity of the meniscus, surgical intervention is often required to treat acute symptoms. However, current treatments such as partial meniscectomy or tissue replacement with clinically available scaffolds – all of which lack the anisotropic organization of the native meniscus – are inadequate.
Here, we present the engineering of highly organized meniscal tissues using 3D printed hydrogel molds to guide organization of a cell-laden collagen gel. Utilizing an inexpensive 3D printer ($270 USD), we introduce the fabrication of large multipart hydrogel molds with removeable lengthwise walls. We screen seven unique starting formulations in which mold depth, collagen density, and cell concentration are modulated and resultant biochemical and mechanical properties are assessed.
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After 28 days in culture, the engineered tissues meet or exceed the tensile modulus of 1-week old bovine menisci – a multifold improvement over the tensile moduli of all other collagen-based day 28 engineered tissues to our knowledge. Towards the goal of developing an implantable therapeutic, we demonstrate that the suture retention strength of the day 14 engineered tissues is comparable to that of the clinically available isotropic collagen meniscus implant.
Finally, we show that the engineered tissues promote enhanced integration with native meniscus tissue ex vivo relative to native tissue alone. Taken together, these results are an exciting step towards improving meniscal repair using tissue engineering strategies.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE343nnn/GSE343247 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE343247 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1510745 ncbi.nlm.nih.gov/bioproject/PRJNA1510745 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE343247 | 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 |
| 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 |