Bertini Ivano, Cavallaro Gabriele
Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy.
J Biol Inorg Chem. 2008 Jan;13(1):3-14. doi: 10.1007/s00775-007-0316-9. Epub 2007 Nov 7.
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.
对生物体的系统层面理解一直是生物学的长期目标。然而,直到最近,由于能够从多种实验来源生成“组学”数据的技术平台的发展,这种可能性才变得切实可行。基因组学和蛋白质组学等数据集使研究人员对细胞的分子组成及其相互作用有了前所未有的认识,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,生物无机化学被赋予了新的重要意义,它被要求从系统的角度看待其独特的研究对象,即无机分子与生物分子之间的相互作用。朝着这个方向迈出的第一步是构建金属蛋白的“组学”数据集(金属蛋白质组学),这些数据集可以与其他以蛋白质为中心的“组学”数据有效整合。在期待高通量实验技术取得进展以完成这项任务的同时,理论方法正在对各种基因组中编码的金属蛋白数量做出有价值的预测。综合使用这些以及其他“组学”数据对于模拟涉及金属的复杂细胞过程可能极其有用。在此,我们回顾了目前关于铜稳态和细胞色素c氧化酶组装的知识,以举例说明需要在系统层面研究的这类重要过程。这种方法的长期目标是全面描述金属如何作为活细胞中的基本要素被构建起来,而这实际上正是生物无机化学的最终目的。