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Proteogenomics: Key Driver for Clinical Discovery and Personalized Medicine

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Proteogenomics

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 926))

Abstract

Proteogenomics is a multi-omics research field that has the aim to efficiently integrate genomics, transcriptomics and proteomics. With this approach it is possible to identify new patient-specific proteoforms that may have implications in disease development, specifically in cancer. Understanding the impact of a large number of mutations detected at the genomics level is needed to assess the effects at the proteome level. Proteogenomics data integration would help in identifying molecular changes that are persistent across multiple molecular layers and enable better interpretation of molecular mechanisms of disease, such as the causal relationship between single nucleotide polymorphisms (SNPs) and the expression of transcripts and translation of proteins compared to mainstream proteomics approaches. Identifying patient-specific protein forms and getting a better picture of molecular mechanisms of disease opens the avenue for precision and personalized medicine. Proteogenomics is, however, a challenging interdisciplinary science that requires the understanding of sample preparation, data acquisition and processing for genomics, transcriptomics and proteomics. This chapter aims to guide the reader through the technology and bioinformatics aspects of these multi-omics approaches, illustrated with proteogenomics applications having clinical or biological relevance.

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Authors and Affiliations

  1. Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands

    Ruggero Barbieri

  2. European Research Institute for the Biology of Ageing, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands

    Victor Guryev

  3. Department of Pathology & Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands

    Corry-Anke Brandsma

  4. IBM T.J. Watson Research Centre, 1101 Kitchawan Road, Yorktown Heights, New York, 10598, NY, USA

    Frank Suits

  5. Department of Analytical Biochemistry, Research Institute of Pharmacy, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands

    Rainer Bischoff & Peter Horvatovich

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  1. Ruggero Barbieri
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  2. Victor Guryev
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  3. Corry-Anke Brandsma
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  4. Frank Suits
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  5. Rainer Bischoff
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  6. Peter Horvatovich
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Correspondence to Peter Horvatovich .

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  1. Department of Pharmacology & Toxicology, University of Texas Medical Branch, Galveston, Texas, USA

    Ákos Végvári

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Barbieri, R., Guryev, V., Brandsma, CA., Suits, F., Bischoff, R., Horvatovich, P. (2016). Proteogenomics: Key Driver for Clinical Discovery and Personalized Medicine. In: Végvári, Á. (eds) Proteogenomics. Advances in Experimental Medicine and Biology, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-319-42316-6_3

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