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!

Data from Comparison of the Effect of Mutant and Wild-Type p53 on Global Gene Expression

作者
Thomas J. O’Farrell,Paritosh Ghosh,Nobuaki Dobashi,Carl Y. Sasaki,Dan L. Longo
标识
DOI:10.1158/0008-5472.c.6493731.v1
摘要

<div>Abstract<p>The mechanisms for “gain-of-function” phenotypes produced by mutant p53s such as enhanced proliferation, resistance to transforming growth factor-β–mediated growth suppression, and increased tumorigenesis are not known. One theory is that these phenotypes are caused by novel transcriptional regulatory events acquired by mutant p53s. Another explanation is that these effects are a result of an imbalance of functions caused by the retention of some of the wild-type transcriptional regulatory events in the context of a loss of other counterbalancing activities. An analysis of the ability of DNA-binding domain mutants A138P and R175H, and wild-type p53 to regulate the expression levels of 6.9 × 10<sup>3</sup> genes revealed that the mutants retained only <5% of the regulatory activities of the wild-type protein. A138P p53 exhibited mostly retained wild-type regulatory activities and few acquired novel events. However, R175H p53 possessed an approximately equal number of wild-type regulatory events and novel activities. This is the first report that, after examination of the regulation of a large unfocused set of genes, provides data indicating that remaining wild-type transcriptional regulatory functions existing in the absence of counterbalancing activities as well as acquired novel events both contribute to the gain-of-function phenotypes produced by mutant p53s. However, mutant p53s are likely to be distinct in terms of the extent to which each mechanism contributes to their gain-of-function phenotypes.</p></div>

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
Never stall完成签到 ,获得积分10
刚刚
毛毛弟完成签到 ,获得积分10
5秒前
colin完成签到,获得积分10
6秒前
Aoyang完成签到,获得积分10
6秒前
7秒前
123完成签到,获得积分10
8秒前
仁和完成签到 ,获得积分10
9秒前
Singularity发布了新的文献求助10
12秒前
15秒前
15秒前
xixi完成签到 ,获得积分10
18秒前
23秒前
清脆夜阑完成签到,获得积分10
23秒前
nancy_liang完成签到,获得积分10
29秒前
31秒前
秀丽的听双完成签到 ,获得积分10
34秒前
36秒前
38秒前
宇文雨文完成签到 ,获得积分10
38秒前
slsdianzi完成签到,获得积分10
41秒前
49秒前
was_3完成签到,获得积分0
57秒前
1分钟前
顺心寄容完成签到,获得积分10
1分钟前
Singularity发布了新的文献求助10
1分钟前
sls完成签到,获得积分10
1分钟前
xiaofeixia完成签到 ,获得积分10
1分钟前
Lily完成签到 ,获得积分10
1分钟前
tfli发布了新的文献求助10
1分钟前
1分钟前
仁爱的鞋子完成签到,获得积分10
1分钟前
香菜张完成签到,获得积分10
1分钟前
1分钟前
1分钟前
sweet完成签到 ,获得积分10
1分钟前
哇咔咔完成签到 ,获得积分10
1分钟前
秋雨梧桐完成签到 ,获得积分10
1分钟前
1分钟前
furin001完成签到,获得积分10
1分钟前
1分钟前
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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
政治传播过程中的外交与说服——以中苏友好协会为例的历史考察 566
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 7579247
求助须知:如何正确求助?哪些是违规求助? 9158784
关于积分的说明 19592973
捐赠科研通 7162140
什么是DOI,文献DOI怎么找? 3265667
关于科研通互助平台的介绍 2430678
邀请新用户注册赠送积分活动 2256461