Elucidation of CKAP4-remodeled cell mechanics in driving metastasis of bladder cancer through aptamer-based target discovery

适体 转移 微泡 癌症研究 癌细胞 生物 细胞迁移 癌症 细胞膜 细胞 细胞生物学 分子生物学 生物化学 小RNA 遗传学 基因
作者
Xing Sun,Lin Xie,Siyuan Qiu,Hui Li,Yangyang Zhou,Hui Zhang,Yibin Zhang,Lin Zhang,Tiantian Xie,Yinglei Chen,Lili Zhang,Zilong Zhao,Tianhuan Peng,Jing Liu,Wencan Wu,Lei Zhang,Juan Li,Mao Ye,Weihong Tan
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:119 (16): e2110500119-e2110500119 被引量:59
标识
DOI:10.1073/pnas.2110500119
摘要

Metastasis contributes to the dismal prognosis of bladder cancer (BLCA). The mechanical status of the cell membrane is expected to mirror the ability of cell migration to promote cancer metastasis. However, the mechanical characteristics and underlying molecular profile associated with BLCA metastasis remain obscure. To study the unique cellular architecture and traits associated with cell migration, using a process called cell-based systematic evolution of ligands by exponential enrichment (cell-SELEX) we generated an aptamer-based molecular probe, termed spl3c, which identified cytoskeleton-associated protein 4 (CKAP4). CKAP4 was associated with tumor metastasis in BLCA, but we also found it to be a mechanical regulator of BLCA cells through the maintenance of a central-to-peripheral gradient of stiffness on the cell membrane. Notably, such mechanical traits were transportable through exosome-mediated intercellular CKAP4 trafficking, leading to significant enhancement of migration in recipient cells and, consequently, aggravating metastatic potential in vivo. Taken together, our study shows the robustness of this aptamer-based molecular tool for biomarker discovery, revealing the dominance of a CKAP4-induced central-to-peripheral gradient of membrane stiffness that benefits cell migration and delineating the role of exosomes in mediating mechanical signaling in BLCA metastasis.
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
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
謓言完成签到 ,获得积分10
刚刚
阳震完成签到,获得积分10
1秒前
1秒前
今后应助平凡的七月采纳,获得10
1秒前
77seven完成签到,获得积分10
1秒前
2秒前
2秒前
Lucas应助钱都来采纳,获得10
2秒前
Honger完成签到,获得积分10
3秒前
XX应助finish采纳,获得10
4秒前
XTYXX008发布了新的文献求助10
4秒前
eeupy完成签到,获得积分10
5秒前
Mansis完成签到,获得积分10
5秒前
淡然篮球完成签到,获得积分10
5秒前
CBY完成签到,获得积分10
6秒前
wry完成签到,获得积分10
6秒前
7秒前
9秒前
11秒前
CocaWater完成签到,获得积分10
11秒前
12秒前
Honger发布了新的文献求助10
12秒前
无辜的河马完成签到 ,获得积分10
13秒前
乐乐应助YY采纳,获得10
13秒前
14秒前
852应助Rwang采纳,获得10
14秒前
15秒前
15秒前
LIUYU发布了新的文献求助10
15秒前
科研通AI6.4应助111采纳,获得10
15秒前
夏波利利发布了新的文献求助10
16秒前
16秒前
17秒前
Ye_F完成签到,获得积分10
18秒前
18秒前
烟花应助奇奇怪怪采纳,获得50
20秒前
20秒前
钱都来发布了新的文献求助10
20秒前
21秒前
刘锦发布了新的文献求助10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7731509
求助须知:如何正确求助?哪些是违规求助? 9282580
关于积分的说明 20152745
捐赠科研通 7308922
什么是DOI,文献DOI怎么找? 3303709
关于科研通互助平台的介绍 2456546
邀请新用户注册赠送积分活动 2312444