Suppr超能文献

顶复门寄生虫中特殊分泌细胞器蛋白的计算机鉴定及在刚地弓形虫中的体内验证

In silico identification of specialized secretory-organelle proteins in apicomplexan parasites and in vivo validation in Toxoplasma gondii.

作者信息

Chen Zhongqiang, Harb Omar S, Roos David S

机构信息

Department of Biology, Penn Genomic Frontiers Institute, and the Graduate Program in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

出版信息

PLoS One. 2008;3(10):e3611. doi: 10.1371/journal.pone.0003611. Epub 2008 Oct 31.

Abstract

Apicomplexan parasites, including the human pathogens Toxoplasma gondii and Plasmodium falciparum, employ specialized secretory organelles (micronemes, rhoptries, dense granules) to invade and survive within host cells. Because molecules secreted from these organelles function at the host/parasite interface, their identification is important for understanding invasion mechanisms, and central to the development of therapeutic strategies. Using a computational approach based on predicted functional domains, we have identified more than 600 candidate secretory organelle proteins in twelve apicomplexan parasites. Expression in transgenic T. gondii of eight proteins identified in silico confirms that all enter into the secretory pathway, and seven target to apical organelles associated with invasion. An in silico approach intended to identify possible host interacting proteins yields a dataset enriched in secretory/transmembrane proteins, including most of the antigens known to be engaged by apicomplexan parasites during infection. These domain pattern and projected interactome approaches significantly expand the repertoire of proteins that may be involved in host parasite interactions.

摘要

顶复门寄生虫,包括人类病原体刚地弓形虫和恶性疟原虫,利用特殊的分泌细胞器(微线体、棒状体、致密颗粒)在宿主细胞内侵入并存活。由于这些细胞器分泌的分子在宿主/寄生虫界面发挥作用,因此对它们的鉴定对于理解入侵机制很重要,也是治疗策略开发的核心。通过基于预测功能域的计算方法,我们在12种顶复门寄生虫中鉴定出600多种候选分泌细胞器蛋白。在转基因刚地弓形虫中对计算机鉴定出的8种蛋白质进行表达,证实所有蛋白质都进入分泌途径,7种靶向与入侵相关的顶端细胞器。一种旨在鉴定可能与宿主相互作用的蛋白质的计算机方法产生了一个富含分泌/跨膜蛋白的数据集,包括已知在感染期间被顶复门寄生虫作用的大多数抗原。这些结构域模式和预测的相互作用组方法显著扩展了可能参与宿主-寄生虫相互作用的蛋白质库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f89a/2575384/48e200acbd53/pone.0003611.g001.jpg

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