清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Engineering osteoarthritic cartilage model through differentiating senescent human mesenchymal stem cells for testing disease-modifying drugs

软骨 间充质干细胞 软骨发生 骨关节炎 衰老 免疫染色 软骨细胞 表型 体外 细胞生物学 病理 医学 生物 癌症研究 免疫组织化学 解剖 基因 遗传学 替代医学
作者
Ning Wang,Yuchen He,Silvia Liu,Meagan J. Makarcyzk,Guanghua Lei,Alexander Chang,Peter G. Alexander,Tingjun Hao,Anne-Marie Padget,Nuria de Pedro,Menelaos Tsapekos,Hang Lin
出处
期刊:Science China-life Sciences [Springer Nature]
卷期号:65 (2): 309-327 被引量:9
标识
DOI:10.1007/s11427-021-1933-7
摘要

Significant cellular senescence has been observed in cartilage harvested from patients with osteoarthritis (OA). In this study, we aim to develop a senescence-relevant OA-like cartilage model for developing disease-modifying OA drugs (DMOADs). Specifically, human bone marrow-derived mesenchymal stromal cells (MSCs) were expanded in vitro up to passage 10 (P10-MSCs). Following their senescent phenotype formation, P10-MSCs were subjected to pellet culture in chondrogenic medium. Results from qRT-PCR, histology, and immunostaining indicated that cartilage generated from P10-MSCs displayed both senescent and OA-like phenotypes without using other OA-inducing agents, when compared to that from normal passage 4 (P4)-MSCs. Interestingly, the same gene expression differences observed between P4-MSCs and P10-MSC-derived cartilage tissues were also observed between the preserved and damaged OA cartilage regions taken from human samples, as demonstrated by RNA Sequencing data and other analysis methods. Lastly, the utility of this senescence-initiated OA-like cartilage model in drug development was assessed by testing several potential DMOADs and senolytics. The results suggest that pre-existing cellular senescence can induce the generation of OA-like changes in cartilage. The P4- and P10-MSCs derived cartilage models also represent a novel platform for predicting the efficacy and toxicity of potential DMOADs on both preserved and damaged cartilage in humans.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
嘿嘿完成签到 ,获得积分10
13秒前
英俊的铭应助下雨会打伞采纳,获得10
52秒前
李爱国应助科研通管家采纳,获得10
1分钟前
思源应助科研通管家采纳,获得10
1分钟前
深情安青应助科研通管家采纳,获得10
1分钟前
情怀应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
充电宝应助科研通管家采纳,获得10
1分钟前
实力不允许完成签到 ,获得积分10
1分钟前
王浩伟完成签到 ,获得积分10
2分钟前
剑逍遥完成签到 ,获得积分10
2分钟前
小二郎应助科研通管家采纳,获得10
3分钟前
Hello应助科研通管家采纳,获得10
3分钟前
SciGPT应助科研通管家采纳,获得10
3分钟前
Akim应助科研通管家采纳,获得10
3分钟前
Jasper应助科研通管家采纳,获得10
3分钟前
充电宝应助科研通管家采纳,获得10
3分钟前
丘比特应助科研通管家采纳,获得10
3分钟前
Orange应助科研通管家采纳,获得10
3分钟前
3分钟前
4分钟前
4分钟前
席江海完成签到,获得积分10
4分钟前
4分钟前
科研狗的春天完成签到 ,获得积分10
4分钟前
4分钟前
华师发布了新的文献求助10
5分钟前
5分钟前
上官若男应助科研通管家采纳,获得10
5分钟前
Ava应助科研通管家采纳,获得10
5分钟前
科目三应助科研通管家采纳,获得10
5分钟前
思源应助华师采纳,获得10
5分钟前
搜集达人应助为光采纳,获得10
6分钟前
hellozijia完成签到 ,获得积分10
6分钟前
6分钟前
为光发布了新的文献求助10
6分钟前
6分钟前
gszy1975发布了新的文献求助10
6分钟前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3307441
求助须知:如何正确求助?哪些是违规求助? 2941053
关于积分的说明 8500333
捐赠科研通 2615430
什么是DOI,文献DOI怎么找? 1428912
科研通“疑难数据库(出版商)”最低求助积分说明 663595
邀请新用户注册赠送积分活动 648461