five

Human and feline adipose-derived mesenchymal stem cells have comparable immunomodulatory functions

收藏
干细胞与再生医学数据中心2022-02-20 更新2024-03-06 收录
下载链接:
http://data.iscr.ac.cn/Article?id=8335684810b701c6bcb963f637f1ac0b
下载链接
链接失效反馈
官方服务:
资源简介:
Adipose-derived mesenchymal stem cells (ASCs) are a promising cell therapy to treat inflammatory and immune-mediated diseases. Development of appropriate pre-clinical animal models is critical to determine safety and attain early efficacy data for the most promising therapeutic candidates. Naturally occurring diseases in cats already serve as valuable models to inform human clinical trials in oncologic, cardiovascular and genetic diseases. The objective of this study was to complete a comprehensive side-by-side comparison of human and feline ASCs with an emphasis on their immunomodulatory capacity and transcriptome. Similar to human ASCs, feline ASCs were highly proliferative at low passages and fit the minimal criteria of multipotent stem cells including a compatible surface protein phenotype, osteogenic capacity and normal karyotype. Like ASCs from all species, feline ASCs inhibited mitogen activated lymphocyte proliferation in vitro, with or without direct ASC-lymphocyte contact. Feline ASCs mimic human ASCs in their mediator secretion pattern including prostaglandin E2, indoleamine 2,3 dioxygenase, transforming growth factor beta and interleukin-6, all augmented by interferon gamma secretion by lymphocytes. The transcriptome of 3 unactivated feline ASC lines were highly similar. Functional analysis of the most highly expressed genes highlighted processes including: 1) the regulation of apoptosis, 2) cell adhesion, 3) response to oxidative stress, and 4) regulation of cell differentiation. Finally, feline ASCs had a similar gene expression profile to noninduced human ASCs. These data will help inform clinical trials using cats with naturally occurring diseases as surrogate models for human clinical trials in the regenerative medicine arena.
提供机构:
UC Davis School of Medicine
创建时间:
2022-02-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作