Pin1 Down-regulates Transforming Growth Factor-β (TGF-β) Signaling by Inducing Degradation of Smad Proteins

作者
Ayako Nakano,Daizo Koinuma,Keiji Miyazawa,Takafumi Uchida,Masao Saitoh,Masahiro Kawabata,J Hanai,Hirotada Akiyama,Masahiro Abe,Kohei Miyazono,Toshio Matsumoto,Takeshi Imamura
出处
期刊:Journal of Biological Chemistry [Elsevier BV]
卷期号:284 (10): 6109-6115 被引量:102
标识
DOI:10.1074/jbc.m804659200
摘要

Transforming growth factor-beta (TGF-beta) is crucial in numerous cellular processes, such as proliferation, differentiation, migration, and apoptosis. TGF-beta signaling is transduced by intracellular Smad proteins that are regulated by the ubiquitin-proteasome system. Smad ubiquitin regulatory factor 2 (Smurf2) prevents TGF-beta and bone morphogenetic protein signaling by interacting with Smads and inducing their ubiquitin-mediated degradation. Here we identified Pin1, a peptidylprolyl cis-trans isomerase, as a novel protein binding Smads. Pin1 interacted with Smad2 and Smad3 but not Smad4; this interaction was enhanced by the phosphorylation of (S/T)P motifs in the Smad linker region. (S/T)P motif phosphorylation also enhanced the interaction of Smad2/3 with Smurf2. Pin1 reduced Smad2/3 protein levels in a manner dependent on its peptidyl-prolyl cis-trans isomerase activity. Knockdown of Pin1 increased the protein levels of endogenous Smad2/3. In addition, Pin1 both enhanced the interaction of Smurf2 with Smads and enhanced Smad ubiquitination. Pin1 inhibited TGF-beta-induced transcription and gene expression, suggesting that Pin1 negatively regulates TGF-beta signaling by down-regulating Smad2/3 protein levels via induction of Smurf2-mediated ubiquitin-proteasomal degradation.

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
千山发布了新的文献求助10
1秒前
华仔应助聪慧剑封采纳,获得10
3秒前
NexusExplorer应助于小小于采纳,获得10
4秒前
4秒前
4秒前
5秒前
xing_xing应助欢喜的皮卡丘采纳,获得20
5秒前
___赵发布了新的文献求助10
5秒前
大模型应助书尘采纳,获得10
7秒前
TOMORROW完成签到,获得积分10
7秒前
研友_VZG7GZ应助颂歌998采纳,获得30
7秒前
李子发布了新的文献求助10
8秒前
爱笑的芙发布了新的文献求助10
8秒前
千山完成签到,获得积分10
8秒前
深情安青应助清脆刺猬采纳,获得10
9秒前
欢欢姐姐发布了新的文献求助10
9秒前
11秒前
godzyy发布了新的文献求助10
11秒前
jimy0516完成签到,获得积分10
12秒前
15秒前
15秒前
17秒前
Alison发布了新的文献求助10
17秒前
18秒前
18秒前
文静元霜发布了新的文献求助10
20秒前
20秒前
万能图书馆应助欢欢姐姐采纳,获得10
21秒前
21秒前
lyc完成签到 ,获得积分10
22秒前
22秒前
我是老大应助搞怪元彤采纳,获得10
22秒前
寒山发布了新的文献求助10
22秒前
111发布了新的文献求助10
23秒前
jimy0516发布了新的文献求助200
23秒前
24秒前
研友_VZG7GZ应助科研通管家采纳,获得10
24秒前
24秒前
24秒前
DONG完成签到,获得积分10
24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 7583692
求助须知:如何正确求助?哪些是违规求助? 9162363
关于积分的说明 19606904
捐赠科研通 7165670
什么是DOI,文献DOI怎么找? 3266302
关于科研通互助平台的介绍 2431200
邀请新用户注册赠送积分活动 2257786