Probing RAS Function Using Monobody and NanoBiT Technologies

神经母细胞瘤RAS病毒癌基因同源物 克拉斯 赫拉 癌症研究 GTP酶 癌症 生物 医学 计算生物学 遗传学 结直肠癌
作者
Michael Whaby,Rakesh Sathish Nair,John P. O’Bryan
出处
期刊:Methods in molecular biology [Springer Science+Business Media]
卷期号:: 211-225 被引量:1
标识
DOI:10.1007/978-1-0716-3822-4_15
摘要

Missense mutations in the RAS family of oncogenes (HRAS, KRAS, and NRAS) are present in approximately 20% of human cancers, making RAS a valuable therapeutic target (Prior et al., Cancer Res 80:2969–2974, 2020). Although decades of research efforts to develop therapeutic inhibitors of RAS were unsuccessful, there has been success in recent years with the entrance of FDA-approved KRASG12C-specific inhibitorsKRAS Cys 12KRAS mutationsG12C to the clinic (Skoulidis et al., N Engl J Med 384:2371–2381, 2021; Jänne et al., N Engl J Med 387:120–131, 2022). Additionally, KRASG12D-specific inhibitors are presently undergoing clinical trials (Wang et al., J Med Chem 65:3123–3133, 2022). The advent of these allele specific inhibitors has disproved the previous notion that RAS is undruggable. Despite these advancements in RAS-targeted therapeutics, several RAS mutants that frequently arise in cancers remain without tractable drugs. Thus, it is critical to further understand the function and biology of RAS in cells and to develop tools to identify novel therapeutic vulnerabilities for development of anti-RAS therapeutics. To do this, we have exploited the use of monobody (Mb) technology to develop specific protein-based inhibitors of selected RAS isoforms and mutants (Spencer-Smith et al., Nat Chem Biol 13:62–68, 2017; Khan et al., Cell Rep 38:110322, 2022; Wallon et al., Proc Natl Acad Sci USA 119:e2204481119, 2022; Khan et al., Small GTPases 13:114–127, 2021; Khan et al., Oncogene 38:2984–2993, 2019). Herein, we describe our combined use of Mbs and NanoLuc Binary Technology (NanoBiT) to analyze RAS protein–protein interactions and to screen for RAS-binding small molecules in live-cell, high-throughput assays.

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
热心如花完成签到 ,获得积分10
刚刚
1秒前
1秒前
石头完成签到 ,获得积分10
1秒前
小马甲应助莫得感情采纳,获得10
2秒前
2秒前
清新的易真完成签到,获得积分10
3秒前
3秒前
积极的老鼠完成签到,获得积分10
3秒前
3秒前
Nole应助空白采纳,获得10
4秒前
mehdi59发布了新的文献求助10
4秒前
小雾完成签到,获得积分10
5秒前
lvjunxian发布了新的文献求助10
5秒前
Wangyn完成签到,获得积分10
5秒前
自由从蓉发布了新的文献求助10
6秒前
6秒前
11完成签到,获得积分10
6秒前
专注垣发布了新的文献求助10
6秒前
研友_VZG7GZ应助向大闹闹采纳,获得10
7秒前
dingly发布了新的文献求助10
8秒前
朱琼慧发布了新的文献求助10
8秒前
脑洞疼应助标致的飞烟采纳,获得10
8秒前
kkkkkkkk发布了新的文献求助10
9秒前
科研通AI6.2应助空白采纳,获得10
9秒前
木白完成签到,获得积分10
10秒前
11秒前
Ch完成签到,获得积分20
12秒前
12秒前
16秒前
16秒前
16秒前
Jasper应助sjy采纳,获得10
16秒前
英俊的铭应助激动的忆翠采纳,获得10
17秒前
科研通AI6.2应助kaka采纳,获得10
17秒前
18秒前
爆米花应助xupeng采纳,获得10
18秒前
Horizon发布了新的文献求助10
18秒前
悦耳问晴发布了新的文献求助20
19秒前
dingly完成签到,获得积分10
19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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
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 7629695
求助须知:如何正确求助?哪些是违规求助? 9204039
关于积分的说明 19736866
捐赠科研通 7199107
什么是DOI,文献DOI怎么找? 3274298
关于科研通互助平台的介绍 2436445
邀请新用户注册赠送积分活动 2270463