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1.
基因的功能是由蛋白质来执行的,而蛋白质要通过与其他生物分子相互作用来完成其各种生物功能。因此,如果能够快速做出蛋白质在不同时间、空间和不同环境中的相互作用图谱,就会帮助我们了解这些蛋白质的功能,进而了解许多生命活动的机制。目前,用于大规模研究蛋白质间相互作用的方法主要有酵母双杂交系统及其衍生系统、亲和纯化与质谱分析联用技术,前者用于研究蛋白分子间的两两相互作用,后者用于研究蛋白质复合物间的相互作用。本文主要阐述了酵母双杂交、细菌双杂交、哺乳动物细胞双杂交、亲和纯化与质谱联用技术在大规模蛋白质相互作用研究中的应用。  相似文献   

2.
吴志豪  王建  贺福初 《遗传》2006,28(12):1627-1632
简介了酵母双杂交技术原理, 总结了酵母双杂交技术大规模筛选蛋白质相互作用的基础、应用及存在的问题。因为大规模酵母双杂交技术结果有大量假阳性及假阴性问题, 因此, 有条件情况下有必要同时开展其他方法的大规模蛋白相互作用研究, 以构建规模更大可信度更高的蛋白质相互作用网络图。  相似文献   

3.
马海蓉  李维琪   《微生物学通报》2003,30(6):119-123
蛋白质-蛋白质之间的相互作用是蛋白质发挥其功能的重要途径之一。通过研究蛋白质组中所有蛋白质之间的相互作用做出蛋白质相互作用对图谱是功能基因组时代许多科学家关注的问题,而大规模的酵母双杂交系统是蛋白质相互作用对图谱的研究中应用较为广泛的策略。近两年来该策略最具代表的实例是用它进行酵母中所有蛋白之间相互作用的检查。但是巨大的蛋白质网络比我们想象要大得多,单一的双杂交系统不能解决所有问题,需要同其它的方法有效地结合。  相似文献   

4.
近年来发展出的几种大规模酵母双杂交方法,已被成功用于植物蛋白质相互作用的研究,对于理解植物细胞内的分子机制具有重要意义。该文旨在介绍大规模酵母双杂交的技术的研究方法及其在植物蛋白质相互作用研究中的应用现状、存在的主要问题和解决办法,并对今后的发展前景进行了展望。  相似文献   

5.
蛋白质相互作用的研究方法   总被引:1,自引:0,他引:1  
随着基因组测序工程数量的增加,未知功能蛋白质测序工作也呈现指数式增长。生物学进程主要是由蛋白质执行和控制的,因此,阐明未知或已知蛋白质的生物学功能和从细胞水平上确定细胞机制,已成为蛋白质组学研究的主要目标。目前,随着酵母[1]、果蝇[2]、线虫[3]相互作用图谱的相继完成,蛋白质相互作用研究方法也不断发展和完善。综述了当前研究蛋白质相互作用的主要技术方法,包括酵母双杂交技术,GSTpull-down技术,免疫共沉淀技术和串联亲和纯化技术等多种研究方法,分析了各种技术方法的优缺点以及各种方法的改进,在试验中可根据不同的要求和目的选择适宜的方法。  相似文献   

6.
酵母双杂交技术作为研究蛋白质相互作用的主要方法,在规模化蛋白质相互作用研究中占据举足轻重的地位。虽然蛋白质相互作用的数据逐年递增,但是还远不能满足"大数据"的实际需求。为了使蛋白质相互作用组学研究更加高效、快捷、准确,以及使酵母双杂交适用于全基因组规模筛选和蛋白质相互作用数据高度覆盖的研究需求,近年来对酵母双杂交技术进行了一系列的改进和发展。综述了近年来在规模化蛋白质相互作用组学研究中,酵母双杂交技术的最新改进和发展。  相似文献   

7.
大规模蛋白质相互作用研究的主要实验技术包括酵母双杂交技术、串联亲和纯化技术和蛋白质芯片技术,随着这些技术的不断发展和完善,科学家们在模式生物、哺乳动物、病原微生物中展开了大规模的蛋白质相互作用组研究,并进行了药物研发方面的研究,绘制了多种生物的蛋白质相互作用连锁图,揭示了多种蛋白质的新功能,为全面研究蛋白质(群)的分子作用机制、药物研发和疾病的临床预防与治疗等提供了崭新的线索。  相似文献   

8.
生物传感芯片质谱及其在蛋白质组研究中的应用   总被引:8,自引:0,他引:8  
目前蛋白质组研究技术在已有的研究基础上取得了长足进展 ,包括固相 pH梯度双向凝胶电泳、生物质谱技术、蛋白质双向电泳图谱的数字化和各种分析技术、蛋白质间相互作用分析的方法如酵母双杂交系统、噬菌体展示、表面等离子共振等。但均各有其利弊。目前质谱是进行蛋白质组成分鉴定的支撑技术 ,但是它在蛋白质间相互作用分析及结构与功能的关系分析方面显得无能为力 ,而生物分子相互作用分析技术 (Biomolecularinteractionanalysis ,BIA)是进行蛋白质相互作用分析的较好技术 ,将两者结合起来在蛋白质组…  相似文献   

9.
酵母表面展示技术应用的研究进展   总被引:1,自引:0,他引:1  
酵母菌的蛋白表达方式与高等真核生物细胞十分相似.酵母表面展示技术是研究真核生物,尤其是人类蛋白质表达的理想方法之一。酵母茵表面标记可溶性配基,通过流式细胞技术对酵母菌展示文库进行快速、精确的筛选,其已广泛用于研究天然蛋白质一蛋白质的相互作用、抗体Fab片段的亲和力,成熟、抗体的检测与筛选,以及功能蛋白质抗原表位图谱绘制等。  相似文献   

10.
酵母双杂交系统   总被引:1,自引:0,他引:1  
酵母双杂交系统是研究细胞内蛋白质之间相互作用的一种分子遗传学技术,用已知的蛋白质作为诱饵来筛选其可以相互作用的伙伴蛋白。本文简要叙述了酵母双杂交系统的原理、基本方法,以及这个技术的发展和应用。  相似文献   

11.
蛋白质作为生命活动的执行者,其功能往往体现在与其他蛋白质的相互作用中,研究蛋白-蛋白相互作用对于人们深入了解和预防传染病、靶向治疗多基因疾病、阐明蛋白质的分子作用机制及各种复杂的生命现象具有重要意义。目前,有多种技术被用来研究蛋白间的相互作用,研究难点在于实时捕获瞬时或弱蛋白质间的相互作用,质谱技术(mass spectrometry, MS)可在某种程度上解决该难点。由于质谱技术可研究简单的蛋白质复合物再到大规模的蛋白质组实验,基于质谱技术研究蛋白质间相互作用被越来越多地应用于科学研究中。综述了蛋白质间相互作用检测方法的研究进展,重点介绍了氢氘交换质谱法和化学交联质谱法研究蛋白质间相互作用的优缺点及其应用,最后对基于质谱技术研究蛋白质间相互作用进行了总结与展望,以期为深入开展相关研究提供借鉴。  相似文献   

12.
In the postgenomic era, one of the most interesting and important challenges is to understand protein interactions on a large scale. The physical interactions between protein domains are fundamental to the workings of a cell: in multi-domain polypeptide chains, in multi-subunit proteins and in transient complexes between proteins that also exist independently. Thus experimental investigation of protein-protein interactions has been extensive, including recent large-scale screens using mass spectrometry. The role of computational research on protein-protein interactions encompasses not only prediction, but also understanding the nature of the interactions and their three-dimensional structures. I will discuss properties such as sequence conservation and co-regulation of genes and proteins involved in different types of physical interactions. Given that all proteins consist of their evolutionary units, the domains, all interactions occur between these domains. The interactions between domains belonging to different protein families will be the second topic of my talk.  相似文献   

13.
Figeys D 《Cell research》2008,18(7):716-724
Interactions are the essence of all biomolecules because they cannot fulfill their roles without interacting with other molecules. Hence, mapping the interactions of biomolecules can be useful for understanding their roles and functions. Furthermore, the development of molecular based systems biology requires an understanding of the biomolecular interactions. In recent years, the mapping of protein-protein interactions in different species has been reported, but few reports have focused on the large-scale mapping of protein-protein interactions in human. Here, we review the developments in protein interaction mapping and we discuss issues and strategies for the mapping of the human protein interactome.  相似文献   

14.
蛋白质相互作用数据库及其应用   总被引:3,自引:0,他引:3  
对蛋白质相互作用及其网络的了解不仅有助于深入理解生命活动的本质和疾病发生的机制,而且可以为药物研发提供靶点.目前,通过高通量筛选、计算方法预测和文献挖掘等方法,获得了大批量的蛋白质相互作用数据,并由此构建了很多内容丰富并日益更新的蛋白质相互作用数据库.本文首先简要阐述了大规模蛋白质相互作用数据产生的3种方法,然后重点介绍了几个人类相关的蛋白质相互作用公共数据库,包括HPRD、BIND、 IntAct、MINT、 DIP 和MIPS,并概述了蛋白质相互作用数据库的整合情况以及这些数据库在蛋白质相互作用网络构建上的应用.  相似文献   

15.
随着后基因组时代的到来,阐明蛋白质间相互作用关系成为蛋白质研究的又一热点,促进了相关技术的不断产生、发展和完善.其中涉及到诸多大规模高通量的方法,如双杂交系统、噬菌体展示、质谱、蛋白质芯片以及生物信息学等,这为系统分析蛋白质相互作用提供视点,有望在蛋白质组学研究中发挥重要作用.每种方法各有其优缺点且适用范围不同,在一定程度上各方法的实验结果互为补充.现拟就这些大规模高通量方法的研究进展及其在蛋白质相互作用研究中的应用作一综述.  相似文献   

16.
Proteins rarely exert their function alone. They normally function in multiprotein complexes that play central roles in all biological functions. Thus, it is not surprising that the investigation of protein-protein interactions on a global scale, of so-called interactomes, has become crucial to modern molecular biology. Dissecting partners in protein complexes gives insight into their molecular function and can help in understanding disease-related mechanisms, ultimately resulting in better drug target definition. A variety of methods exist to unravel protein interaction circuitries and recently, significant progress has been made in adapting these tools for the generation of large-scale interaction datasets. Here, we present an overview of the latest advances and applications of interactive proteomics research technologies.  相似文献   

17.
Due to their key roles in a number of biological processes, protein-protein interactions are attractive and important targets, typically involving areas greater than 6 nm2. The disruption of such interactions remains a challenging feat but, in recent years, there has been considerable progress in the design of proteomimetics: molecules that mimic the structure and function of extended regions of protein surfaces. In particular, porphyrins, calixarenes, alpha-helical mimetics and small molecules have successfully modulated significant protein-protein interactions, including those involved in cancer and HIV.  相似文献   

18.
Protein microarrays or proteome chips are potentially powerful tools for comprehensive analysis of protein-protein interactions. In interaction analysis, a set of immobilized proteins is arrayed on slides and each slide is probed with a set of fluorescently labeled proteins. Here we have developed and tested an in vitro protein microarray, in which both arraying and probing proteins were prepared by cell-free translation. The in vitro synthesis of fluorescently labeled proteins was accomplished by a new method: a fluorophore-puromycin conjugate was incorporated into a protein at the C-terminus on the ribosome. The resulting fluorescently labeled proteins were confirmed to be useful for probing protein-protein interactions on protein microarrays in model experiments. Since the in vitro protein microarrays can easily be extended to a high-throughput format and also combined with in vitro display technologies such as the streptavidin-biotin linkage in emulsions method (Doi and Yanagawa, FEBS Lett. 1999, 457, 227-230), our method should be useful for large-scale analysis of protein-protein interactions.  相似文献   

19.
Experimental high-throughput studies of protein-protein interactions are beginning to provide enough data for comprehensive computational studies. Today, about ten large data sets, each with thousands of interacting pairs, coarsely sample the interactions in fly, human, worm, and yeast. Another about 55,000 pairs of interacting proteins have been identified by more careful, detailed biochemical experiments. Most interactions are experimentally observed in prokaryotes and simple eukaryotes; very few interactions are observed in higher eukaryotes such as mammals. It is commonly assumed that pathways in mammals can be inferred through homology to model organisms, e.g. the experimental observation that two yeast proteins interact is transferred to infer that the two corresponding proteins in human also interact. Two pairs for which the interaction is conserved are often described as interologs. The goal of this investigation was a large-scale comprehensive analysis of such inferences, i.e. of the evolutionary conservation of interologs. Here, we introduced a novel score for measuring the overlap between protein-protein interaction data sets. This measure appeared to reflect the overall quality of the data and was the basis for our two surprising results from our large-scale analysis. Firstly, homology-based inferences of physical protein-protein interactions appeared far less successful than expected. In fact, such inferences were accurate only for extremely high levels of sequence similarity. Secondly, and most surprisingly, the identification of interacting partners through sequence similarity was significantly more reliable for protein pairs within the same organism than for pairs between species. Our analysis underlined that the discrepancies between different datasets are large, even when using the same type of experiment on the same organism. This reality considerably constrains the power of homology-based transfer of interactions. In particular, the experimental probing of interactions in distant model organisms has to be undertaken with some caution. More comprehensive images of protein-protein networks will require the combination of many high-throughput methods, including in silico inferences and predictions. http://www.rostlab.org/results/2006/ppi_homology/  相似文献   

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