4.0 Article

Mapping of the Self-Interaction Domains in the Simian Immunodeficiency Virus Gag Polyprotein

期刊

AIDS RESEARCH AND HUMAN RETROVIRUSES
卷 27, 期 3, 页码 303-316

出版社

MARY ANN LIEBERT, INC
DOI: 10.1089/aid.2010.0137

关键词

-

资金

  1. Agencia Nacional de Promocion Cientifica y Tecnologica (ANPCyT, Argentina) [PICT2005-38215]

向作者/读者索取更多资源

To gain a better understanding of the assembly process in simian immunodeficiency virus (SIV), we first established the conditions under which recombinant SIV Gag lacking the C-terminal p6 domain (SIV Gag Delta p6) assembled in vitro into spherical particles. Based on the full multimerization capacity of SIV Gag Delta p6, and to identify the Gag sequences involved in homotypic interactions, we next developed a pull-down assay in which a panel of histidine-tagged SIV Gag truncation mutants was tested for its ability to associate in vitro with GST-SIVGag Delta p6. Removal of the nucleocapsid (NC) domain from Gag impaired its ability to interact with GST-SIVGag Delta p6. However, this Gag mutant consisting of the matrix (MA) and capsid (CA) domains still retained 50% of the wild-type binding activity. Truncation of SIV Gag from its N-terminus yielded markedly different results. The Gag region consisting of the CA and NC was significantly more efficient than wild-type Gag at interacting in vitro with GST-SIVGag Delta p6. Notably, a small Gag subdomain containing the C-terminal third of the CA and the entire NC not only bound to GST-SIVGag Delta p6 in vitro at wild-type levels, but also associated in vivo with full-length Gag and was recruited into extracellular particles. Interestingly, when the mature Gag products were analyzed, the MA and NC interacted with GST-SIVGag Delta p6 with efficiencies representing 20% and 40%, respectively, of the wild-type value, whereas the CA failed to bind to GST-SIVGag Delta p6, despite being capable of self-associating into multimeric complexes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.0
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据