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Metals in the 'omics' world: copper homeostasis and cytochrome c oxidase assembly in a new light

机译:“组学”世界中的金属:铜稳态和细胞色素C氧化酶组装的新亮点

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System-level understanding of living organisms has been a long-standing goal of biological sciences. However, it was only recently that this possibility became concrete, by virtue of the development of technology platforms for the production of "omics" data from multiple experimental sources. Data sets such as those from genomics and proteomics are endowing researchers with an unprecedented view of the molecular constituents of cells and of their interactions, forming the basis to pursue the comprehension of how the concerted action of such components can determine biological functions. Within this challenge, bioinorganic chemistry is invested with a renewed significance, being called to place its distinctive subject matter, namely, the study of the interactions between inorganic and biological molecules, in a system-wide perspective. The first step to take in this direction is the construction of "omics" data sets for metalloproteins (metalloproteomics) that can be fruitfully integrated with other protein-centered "omics" data. While looking forward to the progress of high-throughput experimental techniques to accomplish this task, theoretical methods are yielding valuable predictions as to the number of metalloproteins encoded in various genomes. The integrated use of these and others "omics" data can be extremely useful to model complex cellular processes involving metals. Here, we review the current knowledge on copper homeostasis and the assembly of cytochrome c oxidase to exemplify the kind of important processes which need to be studied at the system level. The long-term goal of this approach is the overall description of how metals are framed as essential factors within living cells, which in fact is the ultimate purpose of bioinorganic chemistry.
机译:对生物体的系统级理解一直是生物科学的长期目标。但是,直到最近,由于开发了用于从多个实验源生成“组学”数据的技术平台,这种可能性才变得具体。诸如基因组学和蛋白质组学之类的数据集使研究人员对细胞的分子组成及其相互作用有了空前的了解,从而为理解这些成分的协同作用如何决定生物学功能奠定了基础。在这一挑战中,对生物无机化学的投资具有全新的意义,被称为将其独特的主题,即从整个系统的角度来研究无机和生物分子之间的相互作用。朝这个方向迈出的第一步是构建金属蛋白(金属旋转体)的“组学”数据集,该数据集可以与其他以蛋白质为中心的“组学”数据有效地整合在一起。在期待高通量实验技术完成这一任务的过程中,理论方法对各种基因组中编码的金属蛋白的数量产生了有价值的预测。这些和其他“组学”数据的综合使用对于模拟涉及金属的复杂细胞过程非常有用。在这里,我们回顾了当前有关铜稳态和细胞色素C氧化酶组装的知识,以举例说明需要在系统水平上研究的重要过程的种类。这种方法的长期目标是对金属如何构成活细胞内必需因子的总体描述,这实际上是生物无机化学的最终目的。

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