共查询到20条相似文献,搜索用时 46 毫秒
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蛋白质组学是后基因组时代功能基因组学研究的新兴学科和热点领域.简要介绍了蛋白质组学产生的科学背景、研究内容和研究方法.重点综述了植物个体水平、组织、器官和亚细胞水平蛋白组研究,植物蛋白质组学在植物遗传多样性、遗传突变体、植物的逆境生理等方面的研究进展.最后展望了今后的发展前景. 相似文献
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叶绿体蛋白质组研究进展 总被引:3,自引:1,他引:2
亚细胞蛋白质组学是近年来蛋白组学研究中的一个热点。通过细胞器的纯化和亚细胞组分的分离,降低了样品的复杂性,增大了相应蛋白质组分的富集,有利于由此分离获得的蛋白质的序列分析及功能鉴定。叶绿体蛋白质组为植物亚细胞蛋白质组学研究中相对全面的一部分,利用亚细胞分离结合双向电泳技术系统地鉴定叶绿体中蛋白质组分是获取叶绿体蛋白质信息、确定其功能的重要技术手段。本文就近年来植物叶绿体蛋白质组涵盖的叶绿体内、外被膜、叶绿体基质、类囊体膜和类囊体腔蛋白的研究进行综述,以全面认识叶绿体蛋白的组成、特点及其在叶绿体生理生化代谢网络中的作用。 相似文献
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植物蛋白质组学研究进展Ⅰ. 蛋白质组关键技术 总被引:10,自引:0,他引:10
随着模式植物拟南芥和水稻基因组测序相继完成, 使植物基因组学研究成功迈入到功能基因组学研究的时代。这为蛋白质组学产生及其发展奠定了坚实的基础。文章重点介绍了蛋白质组学的概念、产生背景和蛋白质组学的关键技术。蛋白质组学的关键技术包括双向电泳、高效液相色谱、蛋白芯片、质谱技术、蛋白质组学的相关数据库、定量蛋白组技术、蛋白复合体标签亲和纯化技术和酵母双杂交系统。同时对当前蛋白质组技术面临的挑战和发展前景进行了讨论。 相似文献
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蛋白质组学是后基因组时代功能基因组学研究的新兴学科和热点领域。该文简要介绍了蛋白质组学产生的科学背景、研究方法和研究内容。蛋白质组学研究方法主要有双向聚丙烯酰胺凝胶电泳(2D-PAGE)、质谱(Mass-spectrometric)技术、蛋白质芯片(Protein chips)技术、酵母双杂交系统(Yeast two-hybrid system)、植物蛋白质组数据库等。其应用的范围包括植物群体遗传学、在个体水平上植物对生物和非生物环境的适应机制、植物的发育和组织器官的分化过程,以及不同亚细胞结构在生理生态过程中的作用等诸多方面。同时对植物蛋白质组学的发展前景进行了展望。 相似文献
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Summary: Viruses have long been studied not only for their pathology and associated disease but also as model systems for molecular processes and as tools for identifying important cellular regulatory proteins and pathways. Recent advances in mass spectrometry methods coupled with the development of proteomic approaches have greatly facilitated the detection of virion components, protein interactions in infected cells, and virally induced changes in the cellular proteome, resulting in a more comprehensive understanding of viral infection. In addition, a rapidly increasing number of high-resolution structures for viral proteins have provided valuable information on the mechanism of action of these proteins as well as aided in the design and understanding of specific inhibitors that could be used in antiviral therapies. In this paper, we discuss proteomic studies conducted on all eukaryotic viruses and bacteriophages, covering virion composition, viral protein structures, virus-virus and virus-host protein interactions, and changes in the cellular proteome upon viral infection. 相似文献
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Interaction Proteomics 总被引:1,自引:0,他引:1
The term proteome is traditionally associated with the identification of a large number of proteins within complex mixtures
originating from a given organelle, cell or even organism. Current proteome investigations are basically focused on two major
areas, expression proteomics and functional proteomics. Both approaches rely on the fractionation of protein mixtures essentially
by two-dimensional polyacrylamide gel electrophoresis (2D-gel) and the identification of individual protein bands by mass
spectrometric techniques (2D-MS). Functional proteomics approaches are basically addressing two main targets, the elucidation
of the biological function of unknown proteins and the definition of cellular mechanisms at the molecular level. In the cell
many processes are governed not only by the relative abundance of proteins but also by rapid and transient regulation of activity,
association and localization of proteins and protein complexes. The association of an unknown protein with partners belonging
to a specific protein complex involved in a particular process would then be strongly suggestive of its biological function.
The identification of interacting proteins in stable complexes in a cellular system is essentially achieved by affinity-based
procedures. Different strategies relying on this simple concept have been developed and a brief overview of the main approaches
presently used in functional proteomics studies is described. 相似文献
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Rémi Longuespée Rita Casadonte Kristina Schwamborn David Reuss Daniel Kazdal Katharina Kriegsmann Andreas von Deimling Wilko Weichert Peter Schirmacher Jörg Kriegsmann Mark Kriegsmann 《Proteomics》2018,18(2)
Proteomic approaches are of growing importance in the biologist's toolbox. It greatly benefited from past and recent advances in sampling, chemical processing, mass spectrometry (MS) instrumentation, and data processing. MS‐based analysis of proteins is now in the process of being translated in pathology for objective diagnoses. In this viewpoint, we present the workflows that we think are the most promising for applications in pathology. We also comment what we think are prerequisites for a successful translational implementation. 相似文献