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!

Degrons in cancer

癌症 生物 癌症研究 计算生物学 遗传学
作者
Bálint Mészáros,Manjeet Kumar,Toby J. Gibson,Bora Uyar,Zsuzsanna Dosztányi
出处
期刊:Science Signaling [American Association for the Advancement of Science]
卷期号:10 (470) 被引量:153
标识
DOI:10.1126/scisignal.aak9982
摘要

Degrons are the elements that are used by E3 ubiquitin ligases to target proteins for degradation. Most degrons are short linear motifs embedded within the sequences of modular proteins. As regulatory sites for protein abundance, they are important for many different cellular processes, such as progression through the cell cycle and monitoring cellular hypoxia. Degrons enable the elimination of proteins that are no longer required, preventing their possible dysfunction. Although the human genome encodes ~600 E3 ubiquitin ligases, only a fraction of these enzymes have well-defined target degrons. Thus, for most cellular proteins, the destruction mechanisms are poorly understood. This is important for many diseases, especially for cancer, a disease that involves the enhanced expression of oncogenes and the persistence of encoded oncoproteins coupled with reduced abundance of tumor suppressors. Loss-of-function mutations occur in the degrons of several oncoproteins, such as the transcription factors MYC and NRF2, and in various mitogenic receptors, such as NOTCH1 and several receptor tyrosine kinases. Mutations eliminating the function of the β-catenin degron are found in many cancers and are considered one of the most abundant mutations driving carcinogenesis. In this Review, we describe the current knowledge of degrons in cancer and suggest that increased research on the "dark degrome" (unknown degron-E3 relationships) would enhance progress in cancer research.
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
韶绍完成签到 ,获得积分10
7秒前
8秒前
10秒前
21秒前
29秒前
心灵美的又琴完成签到,获得积分10
42秒前
chenu完成签到 ,获得积分0
46秒前
郑征完成签到,获得积分10
47秒前
automan发布了新的文献求助20
51秒前
52秒前
53秒前
哈哈完成签到,获得积分20
57秒前
洪小乖完成签到,获得积分10
59秒前
真实的瑾瑜完成签到 ,获得积分10
59秒前
哈哈发布了新的文献求助30
1分钟前
大气月饼完成签到,获得积分10
1分钟前
1分钟前
aajhajkahna应助automan采纳,获得10
1分钟前
洁净的酬海完成签到 ,获得积分10
1分钟前
drkyy完成签到,获得积分10
1分钟前
1分钟前
邓洁宜完成签到,获得积分10
1分钟前
清爽笙完成签到,获得积分10
1分钟前
无情忆秋完成签到 ,获得积分10
1分钟前
1分钟前
amy完成签到,获得积分10
2分钟前
jjyy完成签到,获得积分0
2分钟前
2分钟前
2分钟前
wanghao完成签到 ,获得积分10
2分钟前
Lily完成签到 ,获得积分10
2分钟前
无语的羞花完成签到,获得积分10
2分钟前
2分钟前
殷勤的紫槐应助慢慢看采纳,获得200
3分钟前
靓丽的初丹完成签到,获得积分10
3分钟前
3分钟前
aguiguigui完成签到,获得积分10
3分钟前
涵青夏完成签到 ,获得积分10
3分钟前
3分钟前
糊涂的电话完成签到,获得积分10
3分钟前
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
Health Psychology 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 500
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 7592303
求助须知:如何正确求助?哪些是违规求助? 9169454
关于积分的说明 19626092
捐赠科研通 7170455
什么是DOI,文献DOI怎么找? 3267514
关于科研通互助平台的介绍 2432371
邀请新用户注册赠送积分活动 2260003