GeneBlocs Are Powerful Tools to Study and Delineate Signal Transduction Processes That Regulate Cell Growth and Transformation

信号转导 PTEN公司 生物 细胞生物学 激酶 效应器 蛋白激酶B PI3K/AKT/mTOR通路
作者
Maria Sternberger,Anett Schmiedeknecht,Anny Kretschmer,Frank Gebhardt,Frauke Leenders,Frank Czauderna,Ira von Carlowitz,Mike Engle,Klaus Giese,Leonid Beigelman,Anke Klippel
出处
期刊:Antisense & Nucleic Acid Drug Development [Mary Ann Liebert]
卷期号:12 (3): 131-143 被引量:34
标识
DOI:10.1089/108729002760220734
摘要

The study of signal transduction processes using antisense oligonucleotides is often complicated by low intracellular stability of the antisense reagents or by nonspecific effects that cause toxicity. Here, we introduce a new class of antisense molecules, so-called GeneBlocs, which are characterized by improved stability, high target RNA specificity, and low toxicity. GeneBlocs allow for efficient downregulation of mRNA expression at nanomolar concentrations, and they do not interfere with cell proliferation. We demonstrate these beneficial properties using a positive readout system. GeneBloc-mediated inhibition of tumor suppressor PTEN (phosphatase and tension homologue detected on chromosome 10) expression leads to hyperactivation of the phosphatidylinositol (PI) 3-kinase pathway, thereby mimicking the loss of PTEN function and its early consequences observed in mammalian cancer cells. Specifically, cells treated with PTEN GeneBlocs show functional activation of Akt, a downstream effector of PI 3-kinase signaling, and exhibit enhanced proliferation when seeded on a basement membrane matrix. In addition, GeneBlocs targeting the catalytic subunit of PI 3-kinase, p110, specifically inhibit signal transduction of endogenous or recombinant PI 3-kinase. This demonstrates that GeneBlocs are powerful tools to analyze and to modulate signal transduction processes and, therefore, represent alternative reagents for the validation of gene function.
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
鱼头发布了新的文献求助10
刚刚
曾经荔枝完成签到,获得积分10
刚刚
1秒前
1秒前
2秒前
万能图书馆应助派大星采纳,获得10
3秒前
科目三应助chyen采纳,获得10
4秒前
苹果念柏完成签到,获得积分10
4秒前
爱笑人达完成签到,获得积分20
4秒前
nihao世界发布了新的文献求助10
6秒前
6秒前
4E63发布了新的文献求助10
7秒前
7秒前
7秒前
10秒前
5433完成签到,获得积分10
11秒前
Bill完成签到 ,获得积分10
11秒前
GingerLing发布了新的文献求助10
12秒前
生生完成签到 ,获得积分10
12秒前
毛不二发布了新的文献求助10
13秒前
13秒前
华仔应助zzz采纳,获得10
14秒前
15秒前
melody发布了新的文献求助10
16秒前
17秒前
17秒前
17秒前
科研通AI6.3应助科研通管家采纳,获得100
17秒前
17秒前
Copyright应助科研通管家采纳,获得10
17秒前
香蕉觅云应助科研通管家采纳,获得10
17秒前
17秒前
bkagyin应助科研通管家采纳,获得10
17秒前
17秒前
18秒前
852应助科研通管家采纳,获得10
18秒前
酷波er应助科研通管家采纳,获得10
18秒前
CipherSage应助科研通管家采纳,获得10
18秒前
orixero应助科研通管家采纳,获得10
18秒前
烟花应助科研通管家采纳,获得10
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
Cronologia da história de Macau 5000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Matrix Methods in Data Mining and Pattern Recognition 510
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 7158426
求助须知:如何正确求助?哪些是违规求助? 8802495
关于积分的说明 18601709
捐赠科研通 6760785
什么是DOI,文献DOI怎么找? 3162430
关于科研通互助平台的介绍 2297918
邀请新用户注册赠送积分活动 2137005