共查询到20条相似文献,搜索用时 31 毫秒
1.
2.
3.
4.
The evolving roles of alternative splicing 总被引:1,自引:0,他引:1
Lareau LF Green RE Bhatnagar RS Brenner SE 《Current opinion in structural biology》2004,14(3):273-282
5.
6.
7.
Pre-mRNA选择性剪接是真核生物转录组和蛋白质组多样性的主要来源,也是细胞分化、发育等过程中重要的基因表达调控方式。约95%的人类多外显子基因存在RNA选择性剪接|很多人类基因疾病的发生与RNA剪接错误相关。随着共转录现象的发现,RNA选择性剪接调控机制研究也取得了很大进展。本文分别从序列层面和核小体定位、组蛋白修饰、DNA甲基化及非编码RNA等表观遗传层面,系统地阐述了RNA选择性剪接的调控机制。为便于搜索,本文介绍了近10年来RNA选择性剪接相关的数据库。 相似文献
8.
9.
10.
11.
12.
13.
Frank Kempken 《Applied microbiology and biotechnology》2013,97(10):4235-4241
Alternative splicing is a complex and regulated process, which results in mRNA with different coding capacities from a single gene. Extend and types of alternative splicing vary greatly among eukaryotes. In this review, I focus on alternative splicing in ascomycetes, which in general have significant lower extend of alternative splicing than mammals. Yeast-like species have low numbers of introns and consequently alternative splicing is lower compared to filamentous fungi. Several examples from single studies as well as from genomic scale analysis are presented, including a survey of alternative splicing in Neurospora crassa. Another focus is regulation by riboswitch RNA and alternative splicing in a heterologous system, along with putative protein factors involved in regulation. 相似文献
14.
How did alternative splicing evolve? 总被引:15,自引:0,他引:15
Ast G 《Nature reviews. Genetics》2004,5(10):773-782
15.
可变剪接(alternative splicing)发生在前体m RNA向成熟m RNA的转换过程中,是转录后表达调控和产生蛋白质多样性的重要机制。可变剪接在真核生物中普遍存在,神经系统发育作为一个极其复杂且严密的过程,可变剪接对它的影响更明显。近年来,一些参与神经发育的可变剪接事件已经得到一定程度的验证,可以得知它的发生影响了突触生长、突触传递和神经干细胞的形成等生物学功能。同时,当可变剪接的模式发生改变时往往也会造成神经系统的功能异常。因此,本文就可变剪接的机制进行了简短的介绍,探索其在神经发育及神经疾病中的作用,并简单总结了相关数据库。 相似文献
16.
17.
Gautier Koscielny Vincent Le Texier Chellappa Gopalakrishnan Vasudev Kumanduri Jean-Jack Riethoven Francesco Nardone Eleanor Stanley Christine Fallsehr Oliver Hofmann Meelis Kull Eoghan Harrington Stéphanie Boué Eduardo Eyras Mireya Plass Fabrice Lopez William Ritchie Virginie Moucadel Takeshi Ara Heike Pospisil Alexander Herrmann Daniel Gautheret 《Genomics》2009,93(3):213-220
18.
19.
20.