Identification and characterization of POSTN+ synovial progenitor cells in meniscus regeneration

Background The meniscus exhibits a limited intrinsic self-repair capacity, particularly in its avascular inner region. A major obstacle in developing regenerative therapies is the lack of understanding at the cellular or molecular level regarding its repair and regeneration. This study aimed to characterize the critical cellular population that drives the meniscal healing process. Methods We performed single-cell RNA sequencing (scRNA-seq) on human clinical meniscus samples and established a meniscal injury model in New Zealand white rabbits for parallel analysis. Computational analyses, including pseudotime trajectory inference, were conducted to delineate cellular states and transitions. To dynamically trace cell fate, lineage tracing was employed. Functional validation was achieved through the isolation, genetic manipulation, and transplantation of the candidate progenitor cells into injury models in vivo . Results scRNA-seq revealed that a population of synovium-derived fibroblasts, characterised by high periostin expression, represents a unique injury-responsive population. Upon meniscal injury, these cells proliferated and rapidly migrated to the lesion site. Both pseudotime analysis and lineage tracing confirmed that this population transitioned into a chondrogenic state during the later stages of meniscal healing, showing progenitor characteristics; hence, they were termed POSTN + synovial progenitor cells (POSTN + SPCs). Mechanistically, the transcription factor TCF7L1 was identified as a candidate regulator of their progenitor characteristics, and may involve Wnt/β-catenin signaling pathway. Transplantation of POSTN + SPC-enriched cells enhanced meniscus healing in the animal model. Conclusion This study identifies POSTN + SPCs as a candidate injury-responsive progenitor-like cell population that plays an important role in meniscus repair. These cells undergo dynamic activation, proliferation, and chondrogenic differentiation at the lesion site, providing a promising cellular target for functional meniscal regeneration. The translational potential of this article Our findings suggest that the recruitment or transplantation of POSTN + SPCs may hold promise as novel therapies to enhance functional meniscal regeneration.

Authors

Institutions

Publication Details

Journal
Journal of Orthopaedic Translation
Published
2026-08-28
DOI
https://doi.org/10.1016/j.jot.2026.101191
Primary Topic
Tendon Structure and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and characterization of POSTN+ synovial progenitor cells in meniscus regeneration

Xiaojia Huang, Wennan Xu, Zhengzheng Zhang, Wanting Yan et al.
Journal of Orthopaedic Translation
Tendon Structure and Treatment
article

Identification and characterization of POSTN+ synovial progenitor cells in meniscus regeneration

Xiaojia Huang, Wennan Xu, Zhengzheng Zhang, Wanting Yan, Haozhi Zhang, Weiping Li, Shuyang Guo, Jiahao Zhu, Jingsong Wang, Wei Zhao
article en

Abstract

Background The meniscus exhibits a limited intrinsic self-repair capacity, particularly in its avascular inner region. A major obstacle in developing regenerative therapies is the lack of understanding at the cellular or molecular level regarding its repair and regeneration. This study aimed to characterize the critical cellular population that drives the meniscal healing process. Methods We performed single-cell RNA sequencing (scRNA-seq) on human clinical meniscus samples and established a meniscal injury model in New Zealand white rabbits for parallel analysis. Computational analyses, including pseudotime trajectory inference, were conducted to delineate cellular states and transitions. To dynamically trace cell fate, lineage tracing was employed. Functional validation was achieved through the isolation, genetic manipulation, and transplantation of the candidate progenitor cells into injury models in vivo . Results scRNA-seq revealed that a population of synovium-derived fibroblasts, characterised by high periostin expression, represents a unique injury-responsive population. Upon meniscal injury, these cells proliferated and rapidly migrated to the lesion site. Both pseudotime analysis and lineage tracing confirmed that this population transitioned into a chondrogenic state during the later stages of meniscal healing, showing progenitor characteristics; hence, they were termed POSTN + synovial progenitor cells (POSTN + SPCs). Mechanistically, the transcription factor TCF7L1 was identified as a candidate regulator of their progenitor characteristics, and may involve Wnt/β-catenin signaling pathway. Transplantation of POSTN + SPC-enriched cells enhanced meniscus healing in the animal model. Conclusion This study identifies POSTN + SPCs as a candidate injury-responsive progenitor-like cell population that plays an important role in meniscus repair. These cells undergo dynamic activation, proliferation, and chondrogenic differentiation at the lesion site, providing a promising cellular target for functional meniscal regeneration. The translational potential of this article Our findings suggest that the recruitment or transplantation of POSTN + SPCs may hold promise as novel therapies to enhance functional meniscal regeneration.

Journal of Orthopaedic TranslationVol. 60
Sun Yat-sen University (CN), Chinese University of Hong Kong (HK), University of Manchester (GB), Henry Royce Institute (GB), Sun Yat-sen Memorial Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Zero hunger
Openalex Percentile: Top 8%
Tendon Structure and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.