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Issue 8, 2015
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Metabolomics method to comprehensively analyze amino acids in different domains

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Abstract

Amino acids play essential roles in both metabolism and the proteome. Many studies have profiled free amino acids (FAAs) or proteins; however, few have connected the measurement of FAA with individual amino acids in the proteome. In this study, we developed a metabolomics method to comprehensively analyze amino acids in different domains, using two examples of different sample types and disease models. We first examined the responses of FAAs and insoluble-proteome amino acids (IPAAs) to the Myc oncogene in Tet21N human neuroblastoma cells. The metabolic and proteomic amino acid profiles were quite different, even under the same Myc condition, and their combination provided a better understanding of the biological status. In addition, amino acids were measured in 3 domains (FAAs, free and soluble-proteome amino acids (FSPAAs), and IPAAs) to study changes in serum amino acid profiles related to colon cancer. A penalized logistic regression model based on the amino acids from the three domains had better sensitivity and specificity than that from each individual domain. To the best of our knowledge, this is the first study to perform a combined analysis of amino acids in different domains, and indicates the useful biological information available from a metabolomics analysis of the protein pellet. This study lays the foundation for further quantitative tracking of the distribution of amino acids in different domains, with opportunities for better diagnosis and mechanistic studies of various diseases.

Graphical abstract: Metabolomics method to comprehensively analyze amino acids in different domains

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Publication details

The article was received on 27 Dec 2014, accepted on 12 Feb 2015 and first published on 12 Feb 2015


Article type: Paper
DOI: 10.1039/C4AN02386B
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Citation: Analyst, 2015,140, 2726-2734
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    Metabolomics method to comprehensively analyze amino acids in different domains

    H. Gu, J. Du, F. Carnevale Neto, P. A. Carroll, S. J. Turner, E. G. Chiorean, R. N. Eisenman and D. Raftery, Analyst, 2015, 140, 2726
    DOI: 10.1039/C4AN02386B

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