首页> 美国卫生研究院文献>Nucleic Acids Research >LoQAtE—Localization and Quantitation ATlas of the yeast proteomE. A new tool for multiparametric dissection of single-protein behavior in response to biological perturbations in yeast
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LoQAtE—Localization and Quantitation ATlas of the yeast proteomE. A new tool for multiparametric dissection of single-protein behavior in response to biological perturbations in yeast

机译:LoQAtE-酵母蛋白质组的定位和定量图集。响应酵母生物扰动的单蛋白行为多参数分析的新工具

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摘要

Living organisms change their proteome dramatically to sustain a stable internal milieu in fluctuating environments. To study the dynamics of proteins during stress, we measured the localization and abundance of the Saccharomyces cerevisiae proteome under various growth conditions and genetic backgrounds using the GFP collection. We created a database (DB) called ‘LoQAtE’ (Localizaiton and Quantitation Atlas of the yeast proteomE), available online at , to provide easy access to these data. Using LoQAtE DB, users can get a profile of changes for proteins of interest as well as querying advanced intersections by either abundance changes, primary localization or localization shifts over the tested conditions. Currently, the DB hosts information on 5330 yeast proteins under three external perturbations (DTT, H2O2 and nitrogen starvation) and two genetic mutations [in the chaperonin containing TCP1 (CCT) complex and in the proteasome]. Additional conditions will be uploaded regularly. The data demonstrate hundreds of localization and abundance changes, many of which were not detected at the level of mRNA. LoQAtE is designed to allow easy navigation for non-experts in high-content microscopy and data are available for download. These data should open up new perspectives on the significant role of proteins while combating external and internal fluctuations.
机译:活着的生物体会极大地改变其蛋白质组,以在动荡的环境中维持稳定的内部环境。为了研究应激过程中蛋白质的动力学,我们使用GFP收集技术在各种生长条件和遗传背景下测量了酿酒酵母蛋白质组的定位和丰度。我们创建了一个名为“ LoQAtE”(酵母蛋白的本地化和定量图集)的数据库(DB),该数据库可在线访问,以方便地访问这些数据。使用LoQAtE DB,用户可以获取感兴趣蛋白质的变化概况,并通过在测试条件下的丰度变化,主要定位或定位变化来查询高级交叉口。目前,数据库在5种外部扰动(DTT,H2O2和氮饥饿)和2种遗传突变的情况下(在含有TCP1的伴侣蛋白(CCT)复合体和蛋白酶体中)托管着5330种酵母蛋白的信息。其他条件将定期上传。数据证明了数百个定位和丰度变化,其中许多在mRNA水平上未检测到。 LoQAtE的设计允许在高内涵显微镜下轻松导航非专家,并且可以下载数据。这些数据应在对抗外部和内部波动的同时,为蛋白质的重要​​作用开辟新的视角。

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