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Arabidopsis 2010: Development of an Arabidopsis Proteome Chip

Arabidopsis 2010: Development of an Arabidopsis Proteome Chip
拟南芥 2010:拟南芥蛋白质组芯片的开发
批准号:
1042344
负责人:
Michael Snyder
金额:
$180.67万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-15 至 2012-08-31

项目摘要

项目成果

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中文摘要
翻译
由于大多数研究的蛋白质缺乏可辨别的酶或生化功能,大规模表征蛋白质将取决于与它们相关的分子的鉴定。蛋白质与其他蛋白质、小分子、脂质或核酸的结合对其定位、活性、稳定性和细胞功能具有深远的影响。为了在全球范围内阐明拟南芥蛋白质组的生化活性,该项目将产生一个拟南芥表达集合(ATEC),其中包含10,000个拟南芥ORF,融合到串联亲和纯化(TAP)标签。 一个优化的植物表达系统将用于生产和纯化这些蛋白质。蛋白质将被打印在各种表面上以产生拟南芥蛋白质芯片,然后将针对各种生物化学测定筛选所述蛋白质芯片,所述生物化学测定包括蛋白质-蛋白质相互作用、蛋白质-磷脂相互作用、蛋白质-核酸相互作用、蛋白质-小分子相互作用以及激酶和其他酶的底物的鉴定。所产生的试剂和方案将通过项目网站(http://plants.gersteinlab.org/)、拟南芥生物资源中心(ABRC)和拟南芥信息资源(TAIR)提供给科学界。更广泛的影响:大规模生物学领域的快速进展为大规模阐明生物功能以及构建和理解生物网络提供了机会。由于基因的生物化学功能是通过其编码的蛋白质表现出来的,因此蛋白质组学新工具的开发一直受到重视。蛋白质微阵列为同时分析数千个单独的蛋白质样品提供了一个强大而方便的平台,有助于在高度特定的条件下设计复杂和可重复的生化实验。因此,在这个项目中进行的努力将最终提供一个有价值的资源,旨在在拟南芥蛋白质功能的高通量研究和复杂的生物网络的阐明各种应用。 了解这些网络,以及它们是如何控制的可能是使应用程序的压力,响应,能源生产等,此外,开发的方法和从这项研究中获得的信息也可以直接应用于其他农业和园艺重要植物的分析。 最后,该项目将整合研究和教育培训的学生和博士后助理在蛋白质组学的前沿领域,并将提供一个独特的机会,以提高认识和植物蛋白质组学研究的重要性,以少数民族本科生,公立高中学生和教师。
英文摘要
Since the majority of proteins studied lack discernable enzymatic or biochemical functions, large-scale characterization of proteins will depend on the identification of molecules that associate with them. The association of a protein with other proteins, small molecules, lipids, or nucleic acids has profound effects on its localization, activity, stability, and cellular function. To elucidate the biochemical activities of the Arabidopsis proteome on a global scale, the project will generate an Arabidopsis thaliana expression collection (ATEC) containing 10,000 Arabidopsis ORFs, fused to tandem affinity purification (TAP) tag. An optimized plant-based expression system will be used to produce and purify these proteins. The proteins will be printed on various surfaces to produce Arabidopsis protein chips which will then be screened for various biochemical assays, including protein-protein interactions, protein-phospholipids interactions, protein-nucleic acid interactions, protein-small molecule interactions, and the identification of substrates for kinases and other enzymes. The reagents and protocols generated will be made available to the scientific community through the project website (http://plants.gersteinlab.org/), the Arabidopsis Biological Resource Center (ABRC) and the Arabidopsis Information Resource (TAIR).Broader Impacts: The rapid progress in the field of large-scale biology has provided the opportunity to elucidate biological function on a large scale and to construct and understand biological networks. Since the biochemical function of a gene is manifested through its encoded protein, much emphasis has been placed on the development of new tools for proteomics. A protein microarray provides a robust and convenient platform for the simultaneous analysis of thousands of individual protein samples, facilitating the design of sophisticated and reproducible biochemical experiments under highly specific conditions. Therefore, the efforts undertaken in this project will ultimately provide a valuable resource for a variety of applications aimed at the high-throughput study of protein function in Arabidopsis and for the elucidation of complex biological networks. Understanding these networks and how they are controlled is likely to be enabling for application to stress, response, energy production etc. In addition, the methods developed and information gained from this study can also be directly applied to the analysis of other agriculturally and horticulturally important plants. Finally, the project will integrate research and educational training for students and post-doctoral associates in the cutting-edge field of proteomics and will provide a unique opportunity to elevate the awareness and importance of plant proteomics research to minority undergraduate students, public high school students and teachers.
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Arabidopsis 2010: Development of an Arabidopsis Proteome Chip
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Arabidopsis 2010: Development of an Arabidopsis proteome chip
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