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Manual of Cardiovascular Proteomics pp 365–388Cite as

Synergizing Proteomic and Metabolomic Data to Study Cardiovascular Systems

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Abstract

Investigation of biological systems requires an understanding of the crosstalk between complex regulatory processes and how disturbances in these processes contribute to the development of a disease phenotype. While proteomic studies have significantly advanced our understanding of the types and relative amounts of proteins in complex samples, these analyses are now being complemented by additional -omic platforms. For example, global metabolic investigations are increasingly leveraged to determine the underlying mechanisms of cardiovascular diseases. These investigations allow the determination and relative quantification of metabolites in complex samples. As our ability to analyze and quantify large experimental proteomic and metabolomic data sets continues to improve, combining these data sets allows for the identification of pathways and sub-pathways that would not be detected if either analytical method was used in isolation. In this book chapter, we discuss how to design a cardiovascular metabolomic experiment and how to utilize combined proteomic and metabolomic data for a more comprehensive examination of biological systems. In the near future, improved software to manage the integration of large datasets and development of new bioinformatics tools will help to harness the potential of these large datasets and make integrative –omics more accessible.

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Authors and Affiliations

  1. Department of Neurobiology, Physiology, and Behavior, University of California, Davis, Davis, CA, 95616, USA

    Jennifer E. Gilda BS, Jenice X. Cheah, Tuleagh Innes-Gawn & Aldrin V. Gomes

  2. Division of Cardiovascular Diseases, Department of Medicine, Center for Regenerative Medicine, Mayo Clinic, Rochester, MN, USA

    Clifford D. L. Folmes PhD

  3. Department of Physiology and Biophysics, Mississippi Center for Heart Research, University of Mississippi Medical Center, Jackson, MS, 39216, USA

    Merry L. Lindsey PhD

  4. Research Service, G.V. (Sonny) Montgomery Veterans Affairs Medical Center, Jackson, MS, 39216, USA

    Merry L. Lindsey PhD

  5. Department of Physiology and Membrane Biology, University of California, Davis, CA, 95616, USA

    Aldrin V. Gomes

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  1. Jennifer E. Gilda BS
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Editors and Affiliations

  1. Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

    Giulio Agnetti

  2. Dept. of Physiology & Biophysics, University Mississippi Medical Center, Jackson, Mississippi, USA

    Merry L. Lindsey

  3. Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

    D. Brian Foster

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Gilda, J.E., Folmes, C.D.L., Cheah, J.X., Innes-Gawn, T., Lindsey, M.L., Gomes, A.V. (2016). Synergizing Proteomic and Metabolomic Data to Study Cardiovascular Systems. In: Agnetti, G., Lindsey, M., Foster, D. (eds) Manual of Cardiovascular Proteomics. Springer, Cham. https://doi.org/10.1007/978-3-319-31828-8_16

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  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31826-4

  • Online ISBN: 978-3-319-31828-8

  • eBook Packages: MedicineMedicine (R0)

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