Specific Recognition of Rac2 and Cdc42 by DOCK2 and DOCK9 Guanine Nucleotide Exchange Factors

作者
Michael A. Kwofie,Jacek Skowroński
出处
期刊:Journal of Biological Chemistry [Elsevier BV]
卷期号:283 (6): 3088-3096 被引量:36
标识
DOI:10.1074/jbc.m705170200
摘要

Recognition of cognate Rho GTPases by guanine-nucleotide exchange factors (GEF) is fundamental to Rho GTPase signaling specificity. Two main GEF families use either the Dbl homology (DH) or the DOCK homology region 2 (DHR-2) catalytic domain. How DHR-2-containing GEFs distinguish between the GTPases Rac and Cdc42 is not known. To determine how these GEFs specifically recognize the two Rho GTPases, we studied the amino acid sequences in Rac2 and Cdc42 that are crucial for activation by DOCK2, a Rac-specific GEF, and DOCK9, a distantly related Cdc42-specific GEF. Two elements in the N-terminal regions of Rac2 and Cdc42 were found to be essential for specific interactions with DOCK2 and DOCK9. One element consists of divergent amino acid residues in the switch 1 regions of the GTPases. Significantly, these residues were also found to be important for GTPase recognition by Rac-specific DOCK180, DOCK3, and DOCK4 GEFs. These findings were unexpected because the same residues were shown previously to interact with GTPase effectors rather than GEFs. The other element comprises divergent residues in the beta3 strand that are known to mediate specific recognition by DH domain containing GEFs. Remarkably, Rac2-to-Cdc42 substitutions of four of these residues were sufficient for Rac2 to be specifically activated by DOCK9. Thus, DOCK2 and DOCK9 specifically recognize Rac2 and Cdc42 through their switch 1 as well as beta2-beta3 regions and the mode of recognition via switch 1 appears to be conserved among diverse Rac-specific DHR-2 GEFs.

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
Lancetty完成签到,获得积分10
刚刚
zyl发布了新的文献求助10
刚刚
luckbaby完成签到,获得积分10
刚刚
小叶爱断舍离完成签到,获得积分10
刚刚
1秒前
MathFun完成签到,获得积分10
1秒前
星辰大海的应助被可爱的豆芽采纳,获得10
1秒前
嘿帕王教官完成签到,获得积分10
1秒前
李爱国的应助被_是小满采纳,获得10
1秒前
1秒前
1秒前
搞怪的芙完成签到,获得积分10
1秒前
大模型的应助被09nankai采纳,获得10
1秒前
1秒前
chenxuuu完成签到,获得积分10
2秒前
威武白桃完成签到,获得积分10
2秒前
zmk完成签到,获得积分20
2秒前
MANG完成签到,获得积分10
2秒前
2秒前
Bruce完成签到,获得积分10
3秒前
所所的应助被dan采纳,获得10
3秒前
赫连山菡发布了新的文献求助10
3秒前
顺利毕业完成签到,获得积分10
3秒前
3秒前
3秒前
顾矜的应助被sdzyyxk采纳,获得10
4秒前
4秒前
桐桐的应助被凝望那片海2020采纳,获得10
4秒前
null的应助被孙Tuan采纳,获得10
4秒前
4秒前
4秒前
4秒前
Yuqing2020完成签到 ,获得积分10
4秒前
花羽发布了新的文献求助10
5秒前
datou完成签到,获得积分20
5秒前
科研通AI6.4的应助被小陈采纳,获得10
5秒前
coco完成签到,获得积分10
5秒前
5秒前
LICHT完成签到,获得积分10
5秒前
5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
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
Mathematical models in hydrology 500
Butadiene hydroxytelechelic oligomers PBHT 500
Ecotourism 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8077073
求助须知:如何正确求助?哪些是违规求助? 9494988
关于积分的说明 21384542
捐赠科研通 7645260
什么是DOI,文献DOI怎么找? 3400339
关于科研通互助平台的介绍 2529935
邀请新用户注册赠送积分活动 2438966