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Approaches for the study of cancer: towards the integration of genomics, proteomics and metabolomics.

机译:癌症研究方法:整合基因组学,蛋白质组学和代谢组学。

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摘要

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 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.
机译:最近的技术进步与生物信息学工具的发展相结合,使我们能够更好地解决结合组学方法(即基因组学,代谢组学和蛋白质组学)的生物学问题。这种新颖的综合观点涉及活生物体中存在的基因,蛋白质和代谢产物的全部组成的鉴定,表征和定量。在这里,我们提供了有关基因组学,代谢组学和蛋白质组学的最新重大进展和技术的概述。我们还强调了在基于质谱的组学中质量准确性的重要性和局限性,并简要描述了在质谱中使用的新兴碎裂类型。用于解决每种组学方法研究问题的一系列工具和技术,可提供大量信息(通常称为高通量名称,主数据库的链接和说明,所使用的数据存储库和资源。结果和程序似乎是必要的,因此,新出现的挑战是如何集成大量生成的数据以及所使用的程序和方法的标准化功能性数据集成将导致未解决问题的答案,希望适用于临床实践和管理的患者。

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