Novel cardiovascular protective effects of RhoA signaling and its therapeutic implications

罗亚 应力纤维 小型GTPase 细胞生物学 信号转导 肌动蛋白细胞骨架 生物 调节器 肌动蛋白 转录因子 细胞信号 GTP酶 细胞骨架 细胞 基因 生物化学 焦点粘着
作者
Joanne Ern Chi Soh,Akio Shimizu,Akira Sato,Hisakazu Ogita
出处
期刊:Biochemical Pharmacology [Elsevier BV]
卷期号:218: 115899-115899 被引量:8
标识
DOI:10.1016/j.bcp.2023.115899
摘要

Ras homolog gene family member A (RhoA) belongs to the Rho GTPase superfamily, which was first studied in cancers as one of the essential regulators controlling cellular function. RhoA has long attracted attention as a key molecule involved in cell signaling and gene transcription, through which it affects cellular processes. A series of studies have demonstrated that RhoA plays crucial roles under both physiological states and pathological conditions in cardiovascular diseases. RhoA has been identified as an important regulator in cardiac remodeling by regulating actin stress fiber dynamics and cytoskeleton formation. However, its underlying mechanisms remain poorly understood, preventing definitive conclusions being drawn about its protective role in the cardiovascular system. In this review, we outline the characteristics of RhoA and its related signaling molecules, and present an overview of RhoA classical function and the corresponding cellular responses of RhoA under physiological and pathological conditions. Overall, we provide an update on the novel signaling under RhoA in the cardiovascular system and its potential clinical and therapeutic targets in cardiovascular medicine.
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
1秒前
2秒前
yy完成签到 ,获得积分10
7秒前
anna1992发布了新的文献求助10
7秒前
7秒前
CipherSage应助sulfor采纳,获得10
7秒前
kelakola完成签到,获得积分10
8秒前
8秒前
AAA小狗零售代理完成签到 ,获得积分10
9秒前
彭于晏应助郑航宇采纳,获得10
9秒前
12秒前
AAA小狗零售代理关注了科研通微信公众号
13秒前
李小晴天发布了新的文献求助10
13秒前
13秒前
科研通AI6.2应助嘀嘀咕咕采纳,获得10
14秒前
所所应助huangyulin2003采纳,获得10
15秒前
15秒前
小厂长QwQ完成签到,获得积分20
16秒前
16秒前
炙热初夏完成签到,获得积分10
17秒前
所所应助galaxy采纳,获得10
18秒前
踏实河马完成签到,获得积分10
19秒前
19秒前
sulfor发布了新的文献求助10
20秒前
雪白的以蓝完成签到,获得积分20
21秒前
1111chen发布了新的文献求助10
21秒前
科研通AI6.4应助王金金采纳,获得10
22秒前
粗犷的思萱完成签到 ,获得积分10
23秒前
23秒前
23秒前
酷波er应助Betty采纳,获得10
24秒前
ATH完成签到,获得积分10
26秒前
Felicity发布了新的文献求助10
27秒前
搜集达人应助健壮念寒采纳,获得10
27秒前
略略略关注了科研通微信公众号
27秒前
SONG完成签到,获得积分10
28秒前
小厂长QwQ发布了新的文献求助10
28秒前
29秒前
30秒前
xing_xing应助AN采纳,获得20
30秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 7584089
求助须知:如何正确求助?哪些是违规求助? 9162837
关于积分的说明 19608306
捐赠科研通 7165970
什么是DOI,文献DOI怎么找? 3266369
关于科研通互助平台的介绍 2431345
邀请新用户注册赠送积分活动 2257929