TMOD-22. MODELING SEX DIFFERENCES IN p53 GAIN-OF-FUNCTION MUTATIONS IN GLIOBLASTOMA

生物 癌变 突变体 错义突变 基因 遗传学 突变 癌症研究 等位基因 损失函数 表型
作者
Nathan Rockwell,Nicole M. Warrington,Joshua B. Rubin
出处
期刊:Neuro-oncology [Oxford University Press]
卷期号:20 (suppl_6): vi273-vi273
标识
DOI:10.1093/neuonc/noy148.1134
摘要

The tumor suppressor TP53 (p53) is the most commonly mutated gene in cancer and is one of the most frequently mutated genes in glioblastoma (GBM). The most common p53 mutations are missense mutations in the DNA binding domain that lead to the expression of full length mutant p53 protein. In addition to the loss of tumor suppressor function, these mutations can endow oncogenic gain-of-function abilities that allow mutant p53 to bind and regulate the promoters of aberrant target genes, driving tumorigenesis. However, the mechanisms that control mutant p53 target gene specificity and the subsequent malignant phenotypes are poorly understood. We combined and analyzed patient mutation data from the COSMIC, TCGA and IARC databases to determine the prevalence of individual p53 mutations in CNS tumors. This revealed a subset of six missense mutations that exhibit significant sex differences in their frequency, suggesting that these mutations may have a sex specific effect on cancer cell fitness. Four codons were mutated more frequently in females: Y205 (p=0.004), D184 (p=0.0172), V216 (p=0.0253), and V272 (p=0.0336), and two codons were mutated more frequently in males: Y220 (p=0.0104) and R282 (p=0.0496). We developed a murine astrocyte model that will allow us to investigate the sex specific effect of each gain-of-function mutation on transcription and tumorigenesis. Using CRISPR/Cas9, relevant point mutations were inserted into the p53 DNA-binding-domain of male and female p53 heterozygous primary mouse astrocytes. These astrocytes express a single mutant p53 allele, and reflect the silencing of the WT p53 allele common in GBM. Using this model, we can directly compare the transcriptional activity of each gain-of-function mutation using ChIP-sequencing and RNA-sequencing. These cells also provide a unique model for mechanistic studies to determine the tumorigenic effects of each gain-of-function mutation, including proliferation, invasion, clonogenicity and in vivo tumorigenesis.

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
1秒前
pluto应助huangyi采纳,获得10
1秒前
甜蜜的沂完成签到,获得积分10
1秒前
如意冰夏发布了新的文献求助10
2秒前
李健应助chengsi采纳,获得10
2秒前
追寻的砖家完成签到,获得积分10
3秒前
LUO发布了新的文献求助10
3秒前
辛勤完成签到,获得积分10
3秒前
AOYU完成签到,获得积分10
4秒前
5秒前
小马甲应助宥啊采纳,获得10
5秒前
Danish完成签到,获得积分10
6秒前
令或文完成签到,获得积分10
6秒前
TT发布了新的文献求助10
6秒前
6秒前
7秒前
阿呷惹完成签到,获得积分10
9秒前
zxg完成签到 ,获得积分10
9秒前
小书包完成签到,获得积分10
10秒前
10秒前
10秒前
单薄剑愁完成签到,获得积分10
10秒前
Qiiii发布了新的文献求助10
11秒前
令或文发布了新的文献求助10
11秒前
12秒前
八度浮完成签到,获得积分10
13秒前
14秒前
8R60d8应助蓝微采纳,获得10
14秒前
14秒前
15秒前
蔡坤发布了新的文献求助10
15秒前
852应助Phucgialam采纳,获得10
16秒前
wangzixuan完成签到,获得积分20
16秒前
16秒前
宥啊发布了新的文献求助10
18秒前
坐着等死完成签到,获得积分10
18秒前
科研通AI6.4应助酷酷酷采纳,获得10
18秒前
白一木发布了新的文献求助10
19秒前
陶瓷完成签到 ,获得积分10
20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
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6430563
求助须知:如何正确求助?哪些是违规求助? 8246568
关于积分的说明 17537038
捐赠科研通 5487000
什么是DOI,文献DOI怎么找? 2895920
邀请新用户注册赠送积分活动 1872430
关于科研通互助平台的介绍 1712017