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

被引:0
作者
Juan Casado-Vela
Arancha Cebrián
María Teresa Gómez del Pulgar
Juan Carlos Lacal
机构
[1] Instituto de Investigaciones Biomédicas “Alberto Sols” Spanish National Research Council (CSIC-UAM),Translational Oncology Unit
来源
Clinical and Translational Oncology | 2011年 / 13卷
关键词
Genomics; Proteomics; Metabolomics; Bioinformatics;
D O I
暂无
中图分类号
学科分类号
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’ 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.
引用
收藏
页码:617 / 628
页数:11
相关论文
共 146 条
  • [1] Casado-Vela J.(2011)Lights and shadows of proteomic technologies for the study of protein species including isoforms, splicing variants and protein post-translational modifications Proteomics 11 590-603
  • [2] Cebrian A.(2011)Human urine proteomics: building a list of human urine cancer biomarkers Expert Rev Proteomics 8 347-360
  • [3] del Pulgar M.T.(1996)A gene map of the human genome Science 274 540-546
  • [4] Casado-Vela J.(2001)Initial sequencing and analysis of the human genome Nature 409 860-921
  • [5] Del Pulgar T.G.(2001)The sequence of the human genome Science 291 1304-1351
  • [6] Cebrian A.(1997)Protein identification in the postgenome era: the rapid rise of proteomics Q Rev Biophys 30 279-331
  • [7] Schuler G.D.(2011)New DNA sequencing technologies open a promising era for cancer research and treatment Clin Transl Oncol 13 301-306
  • [8] Boguski M.S.(2010)The impact of whole genome sequencing on model system genetics: get ready for the ride Genetics 184 317-319
  • [9] Stewart E.A.(2008)Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing Nat Genet 40 722-729
  • [10] Lander E.S.(2008)DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome Nature 456 66-72