Manipulation of RNA using engineered proteins with customized specificity.
Manipulation of RNA using engineered proteins with customized specificity.
复制标题
使用具有定制特异性的工程蛋白来操纵 RNA。
DOI：
10.1007/978-1-4939-1221-6_6
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发表时间：
2014
影响因子：
--
通讯作者：
Wang,Zefeng
中科院分区：
文献类型：
--
作者：
Choudhury,Rajarshi;Wang,Zefeng
大量的RNA结合蛋白在多个RNA加工步骤中控制真核基因表达中起关键作用。这些蛋白质中的许多具有模块化构型，包含RNA结合结构域以识别其靶标和功能模块以影响RNA代谢。这种简单的结构促使人们设计出专门操纵RNA的人工因子。虽然自20世纪90年代以来已经取得了重大进展，以设计特异性的DNA结合蛋白，设计类似的RNA结合因子是不实际的，直到最近。随着涉及RNA调控的生物学途径的日益复杂，工程化具有定制特异性和功能的RNA结合因子已成为一个新兴的研究领域。这些因子可以作为操纵RNA代谢的新方法，因此在基础生物学和医学研究中非常有用。在这里，我们讨论了目前的进展，工程RNA结合蛋白，重点是设计原则和潜在的应用作为新的治疗试剂和基本的生物工具。
A large number of RNA-binding proteins play critical roles in controlling eukaryotic gene expression at multiple RNA-processing steps. Many of these proteins have modular configuration, containing a RNA binding domain to recognize their target and functional module to affect RNA metabolism. This simple configuration motivated the design of artificial factors that specifically manipulate RNA. While significant progress has been made since 1990s to engineer DNA binding proteins with designed specificity, design of analogous RNA binding factors was not practical until recently. With the increasing complexity of biological pathways involving RNA regulation, engineering RNA binding factors with customized specificity and function has become an emerging field of research. Such factors can serve as novel method to manipulate RNA metabolism and thus are very useful in basic biological and medical research. Here we discuss the current advances in engineering RNA binding proteins, with emphasis on the design principles and their potential applications as new therapeutic reagents and basic biological tools.
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影响因子：
46.9
作者：
通讯作者：
--
影响因子：
7.4
作者：
Toshimichi Yamada;Hideaki Yoshimura;Asumi Inaguma;T. Ozawa
通讯作者：
Toshimichi Yamada;Hideaki Yoshimura;Asumi Inaguma;T. Ozawa
DOI：
10.1073/pnas.87.6.2211
发表时间：
1990-03-01
影响因子：
11.1
作者：
KOTIN, RM;SINISCALCO, M;BERNS, KI
通讯作者：
BERNS, KI
影响因子：
4.6
作者：
Paul M. Macdonald
通讯作者：
Paul M. Macdonald
影响因子：
11.4
作者：
Perez-Canadillas, Jose Manuel
通讯作者：
Perez-Canadillas, Jose Manuel