Harnessing mesenchymal aggregation for engineered organ-level regeneration: Recent progress and perspective

Chen-Xi Zheng , Bing-Dong Sui , Yan Jin

Aggregate ›› 2024, Vol. 5 ›› Issue (2) : 497

PDF
Aggregate ›› 2024, Vol. 5 ›› Issue (2) :497 DOI: 10.1002/agt2.497
REVIEW

Harnessing mesenchymal aggregation for engineered organ-level regeneration: Recent progress and perspective

Author information +
History +
PDF

Abstract

Stem cells, especially mesenchymal progenitors or mesenchymal stem cells (MSCs), possess an intrinsic property to form compact spheroid-like assemblies, a phenomenon known as cell aggregation. In recent years, a growing body of researches have uncovered that this is a cross-species conserved developmental event essential for initiating organogenesis in a variety of organs. Moreover, the self-assembly property also contributes to the regenerative capacities of MSC aggregates in vivo with broad range of applications in tissue engineering. In this review, the principles of self-assembled mesenchymal aggregation and its involvement in physiological organogenesis, as well as the construction approaches of engineering MSC aggregates and its application for organ regeneration are discussed. The authors aim to provide a speculative overview of the current understanding and the recent findings of cell aggregation, from both the developmental and the engineering perspectives, and thus offer insights into the understanding of stem cell biology and the establishment of novel organ regeneration strategies.

Keywords

mesenchymal aggregation / organ regeneration / organogenesis

Cite this article

Download citation ▾
Chen-Xi Zheng, Bing-Dong Sui, Yan Jin. Harnessing mesenchymal aggregation for engineered organ-level regeneration: Recent progress and perspective. Aggregate, 2024, 5(2): 497 DOI:10.1002/agt2.497

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

2023 The Authors. Aggregate published by South China University of Technology; AIE Institute and John Wiley & Sons Australia, Ltd.

AI Summary AI Mindmap
PDF

197

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/