Translational Oncology Unit, Instituto de Investigaciones Biomédicas Alberto Sols, Spanish National Research Council, C/ Arturo Duperier 4, Madrid, Spain.
Clin Transl Oncol. 2011 Sep;13(9):617-28. doi: 10.1007/s12094-011-0707-9.
Recent technological advances, combined with the development of bioinformatic tools, allow us to better address biological questions combining -omic approaches (i.e., genomics, metabolomics and proteomics). This novel comprehensive perspective addresses the identification, characterisation and quantitation of the whole repertoire of genes, proteins and metabolites occurring in living organisms. Here we provide an overview of recent significant advances and technologies used in genomics, metabolomics and proteomics. We also underline the importance and limits of mass accuracy in mass spectrometry-based -omics and briefly describe emerging types of fragmentation used in mass spectrometry. The range of instruments and techniques used to address the study of each -omic approach, which provide vast amounts of information (usually termed "high-throughput" technologies in the literature) is briefly discussed, including names, links and descriptions of the main databases, data repositories and resources used. Integration of multiple -omic results and procedures seems necessary. Therefore, an emerging challenge is the integration of the huge amount of data generated and the standardisation of the procedures and methods used. Functional data integration will lead to answers to unsolved questions, hopefully, applicable to clinical practice and management of patients.
最近的技术进步，加上生物信息学工具的发展，使我们能够更好地结合组学方法（即基因组学、代谢组学和蛋白质组学）来解决生物学问题。这种新颖的综合视角解决了在生物体中发生的整个基因、蛋白质和代谢物文库的鉴定、特征描述和定量问题。在这里，我们概述了基因组学、代谢组学和蛋白质组学中最近的重要进展和技术。我们还强调了基于质谱的组学中质量精度的重要性和局限性，并简要描述了在质谱中使用的新兴类型的碎片化。用于解决每种组学方法研究的仪器和技术范围广泛，提供了大量信息（文献中通常称为“高通量”技术），简要讨论了包括名称、链接和使用的主要数据库、数据存储库和资源的描述。整合多个组学结果和程序似乎是必要的。因此，一个新兴的挑战是整合生成的大量数据以及整合使用的程序和方法的标准化。功能数据集成将为未解决的问题提供答案，希望这些答案适用于临床实践和患者管理。
