清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Targeting proteins for ubiquitination and degradation in the treatment of human disease

作者
Kathleen M. Sakamoto
出处
期刊:PubMed Central - Europe PMC [European Bioinformatics Institute]
标识
DOI:10.7907/2rn6-te18.
摘要

Protein degradation is one of the tactics employed by the cell for irreversibly inactivating proteins. In eukaryotes, ATP-dependent protein degradation in the cytoplasm and nucleus is carried out by the 26S proteasome. Most proteins are targeted to the 26S proteasome by covalent attachment of a multiubiquitin chain. A key component of the enzyme cascade that results in attachment of the multiubiquitin chain to the target or labile protein is the ubiquitin ligase that controls the specificity of the ubiquitination reaction. Defects in ubiquitin-dependent proteolysis have been shown to result in a variety of human diseases, including cancer, neurodegenerative diseases, and metabolic disorders. The SCF (Skp1-Cullin-F-box-Hrt1) complex is a heteromeric ubiquitin ligase that multiubiquitinates proteins important for signal transduction and cell cycle progression. A technology was developed known as Protac (Proteolysis Targeting Chimeric Molecule), that acts as a bridge, bringing together the SCF ubiquitin ligase with a protein target, resulting in its ubiquitination and degradation. The Protac contains a peptide moiety at one end that is recognized by SCF that is chemically linked to the binding partner or ligand of the target protein. The first demonstration of the efficacy of Protac technology was the successful recruitment, ubiquitination, and degradation of the protein Methionine Aminopeptidase-2 (MetAP-2) through a covalent interaction between MetAP-2 and Protac. Subsequently, we demonstrated that Protacs could effectively ubiquitinate and degrade cancer-promoting proteins (estrogen and androgen receptors) through non-covalent interactions in vitro and in cells. Finally, cell-permeable Protacs can also promote the degradation of proteins in cells. Biologically, this work signifies the amazing versatility and flexibility of the ubiquitin-proteasome system. Technologically, this work represents the development of a novel ?chemical genetics? approach to selectively target proteins for degradation. Practically, this work is ?Proof of Concept? that exploiting the cell?s natural proteolytic machinery is a potential avenue for the treatment of human disease.

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
象象完成签到 ,获得积分10
1秒前
玖月完成签到 ,获得积分0
2秒前
8秒前
霍霍完成签到,获得积分10
9秒前
霍霍发布了新的文献求助10
12秒前
隐形雅柔完成签到,获得积分10
13秒前
科研通AI6.2的应助被艾泽勒采纳,获得10
14秒前
Cat4pig完成签到 ,获得积分10
14秒前
彭于晏的应助被艾泽勒采纳,获得10
14秒前
郑丽琴完成签到 ,获得积分10
14秒前
科研通AI6.2的应助被艾泽勒采纳,获得10
14秒前
科研通AI6.4的应助被艾泽勒采纳,获得10
15秒前
科研通AI6.4的应助被艾泽勒采纳,获得10
15秒前
科研通AI6.2的应助被艾泽勒采纳,获得10
15秒前
香蕉觅云的应助被艾泽勒采纳,获得10
15秒前
orixero的应助被艾泽勒采纳,获得10
15秒前
NexusExplorer的应助被艾泽勒采纳,获得10
15秒前
20秒前
孙刚完成签到 ,获得积分10
20秒前
独特的紫雪完成签到,获得积分10
25秒前
ResKeZhang发布了新的文献求助10
25秒前
朴实惜寒完成签到,获得积分10
26秒前
科研通AI2S的应助被氯化氢采纳,获得10
30秒前
lxh完成签到 ,获得积分10
32秒前
CipherSage的应助被ResKeZhang采纳,获得10
32秒前
科研通AI6.2的应助被艾泽勒采纳,获得10
40秒前
科研通AI6.2的应助被艾泽勒采纳,获得10
40秒前
充电宝的应助被艾泽勒采纳,获得10
41秒前
molihuakai的应助被艾泽勒采纳,获得10
41秒前
我小怂怂006完成签到 ,获得积分10
41秒前
科研通AI6.2的应助被艾泽勒采纳,获得10
41秒前
SciGPT的应助被艾泽勒采纳,获得10
41秒前
科研通AI6.2的应助被艾泽勒采纳,获得10
41秒前
科研通AI6.2的应助被艾泽勒采纳,获得10
42秒前
记上没文献了完成签到 ,获得积分10
42秒前
Lucas的应助被艾泽勒采纳,获得10
42秒前
高大的凡阳完成签到 ,获得积分10
44秒前
flyinthesky完成签到,获得积分10
53秒前
xuexixiaojin完成签到 ,获得积分10
54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
Sustainable Engineered Micro/Nanofibers and Hybrid Nanocomposites for Environmental Remediation 400
Ecotourism 400
Liquidus diagram and viscosity estimation in pseudo-binary system Li2B6O10–LiF 300
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 8076057
求助须知:如何正确求助?哪些是违规求助? 9494136
关于积分的说明 21378163
捐赠科研通 7643955
什么是DOI,文献DOI怎么找? 3399987
关于科研通互助平台的介绍 2529754
邀请新用户注册赠送积分活动 2438663