Suppr超能文献

体外改变Mu转座酶的DNA结合特异性。

Altering the DNA-binding specificity of Mu transposase in vitro.

作者信息

Namgoong S Y, Sankaralingam S, Harshey R M

机构信息

Department of Microbiology and Institute of Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA.

出版信息

Nucleic Acids Res. 1998 Aug 1;26(15):3521-7. doi: 10.1093/nar/26.15.3521.

Abstract

We describe the isolation of a variant of Mu transposase (MuA protein) which can recognize altered att sites at the ends of Mu DNA. No prior knowledge of the structure of the DNA binding domain or its mode of interaction with att DNA was necessary to obtain this variant. Protein secondary structure programs initially helped target mutations to predicted helical regions within a subdomain of MuA demonstrated to harbor att DNA binding activity. Of the 54 mutant positions examined, only two showed decreased affinity for att DNA, while eight others affected assembly of the Mu transpososome. A variant impaired in DNA binding [MuA(R146V)], and predicted to be in the recognition helix of an HTH motif, was challenged with altered att sites created from degenerate oligonucleotides to select for novel DNA binding specificity. DNA sequences bound to MuA(R146V) were detected by gel-retardation, and following several steps of PCR amplification/enrichment, were identified by cloning and sequencing. The strategy allowed recovery of an altered att site for which MuA(R146V) showed higher affinity than for the wild-type site, although this site was bound by wild-type MuA as well. The altered association between MuA(R146V) and an altered att site target was competent in transposition. We discuss the strengths and limitations of this methodology, which has applications in dissecting the functional role of specific protein-DNA associations.

摘要

我们描述了一种Mu转座酶变体(MuA蛋白)的分离,该变体能够识别Mu DNA末端改变的附着位点。获得这种变体无需事先了解DNA结合结构域的结构或其与附着DNA的相互作用模式。蛋白质二级结构程序最初有助于将突变靶向到MuA一个亚结构域内预测的螺旋区域,该亚结构域已被证明具有附着DNA结合活性。在所检测的54个突变位点中,只有两个对附着DNA的亲和力降低,而其他八个影响Mu转座体的组装。一种DNA结合受损的变体[MuA(R146V)],预计位于HTH基序的识别螺旋中,用由简并寡核苷酸产生的改变的附着位点进行挑战,以选择新的DNA结合特异性。通过凝胶阻滞检测与MuA(R146V)结合的DNA序列,并在经过几步PCR扩增/富集后,通过克隆和测序进行鉴定。该策略使得能够回收一个改变的附着位点,MuA(R146V)对其显示出比对野生型位点更高的亲和力,尽管该位点也能被野生型MuA结合。MuA(R146V)与改变的附着位点靶标的改变的结合在转座中是有效的。我们讨论了这种方法的优点和局限性,其在剖析特定蛋白质-DNA相互作用的功能作用方面具有应用价值。

相似文献

1
Altering the DNA-binding specificity of Mu transposase in vitro.
Nucleic Acids Res. 1998 Aug 1;26(15):3521-7. doi: 10.1093/nar/26.15.3521.
5
DNA recognition sites activate MuA transposase to perform transposition of non-Mu DNA.
J Biol Chem. 2002 Mar 8;277(10):7694-702. doi: 10.1074/jbc.M110341200. Epub 2001 Dec 27.
6
MuA transposase separates DNA sequence recognition from catalysis.
Biochemistry. 2003 Dec 16;42(49):14633-42. doi: 10.1021/bi035360o.
7
9
Mutational analysis of the att DNA-binding domain of phage Mu transposase.
Nucleic Acids Res. 1995 Oct 11;23(19):3937-43. doi: 10.1093/nar/23.19.3937.

引用本文的文献

1
Deciphering the Roles of Multicomponent Recognition Signals by the AAA+ Unfoldase ClpX.
J Mol Biol. 2015 Sep 11;427(18):2966-82. doi: 10.1016/j.jmb.2015.03.008. Epub 2015 Mar 19.
2
The μ transpososome structure sheds light on DDE recombinase evolution.
Nature. 2012 Nov 15;491(7424):413-7. doi: 10.1038/nature11602. Epub 2012 Nov 7.
3
The AAA+ ClpX machine unfolds a keystone subunit to remodel the Mu transpososome.
Proc Natl Acad Sci U S A. 2010 Feb 9;107(6):2437-42. doi: 10.1073/pnas.0910905106. Epub 2010 Jan 25.
4
Directed evolution of a recombinase for improved genomic integration at a native human sequence.
Nucleic Acids Res. 2001 Dec 15;29(24):5044-51. doi: 10.1093/nar/29.24.5044.

本文引用的文献

2
The Hsp70 and Hsp60 chaperone machines.
Cell. 1998 Feb 6;92(3):351-66. doi: 10.1016/s0092-8674(00)80928-9.
9
DNA transposition: jumping gene machine, some assembly required.
Curr Biol. 1996 Jul 1;6(7):817-20. doi: 10.1016/s0960-9822(02)00603-6.
10
Phage display methods for selecting zinc finger proteins with novel DNA-binding specificities.
Methods Enzymol. 1996;267:129-49. doi: 10.1016/s0076-6879(96)67010-4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验