Literature DB >> 31594590

A simultaneously quantitative profiling method for 40 endogenous amino acids and derivatives in cell lines using hydrophilic interaction liquid chromatography coupled with tandem mass spectrometry.

Bangjie Zhu1, Li Li2, Hai Wei3, Wenbin Zhou3, Wentao Zhou4, Fugang Li5, Peiyuan Lin5, Jiaqiang Sheng4, Qingjiang Wang6, Chao Yan7, Yu Cheng8.   

Abstract

Endogenous metabolites of amino acids and their derivatives in biosamples are frequently highlighted as the most differential metabolites in recent metabolomics studies. The method for the detection of amino acid derivatives such as N-acetyl amino acids and oligopeptides is rarely reported. We developed a rapid, high-throughput, sensitive and reliable quantitative method to simultaneously profile 40 underivatized amino acids and their derivatives including N-acetyl amino acids and oligopeptides in cell lines, based on ultra-high-performance liquid chromatography-electrospray tandem mass spectrometry (UHPLC- MS/MS) by using a hydrophilic interaction liquid chromatography (HILIC) column. The optimized method was successfully validated with satisfactory linearity, sensitivity, accuracy, precision, matrix effects, recovery and stability for all analytes. Only one compound (cysteine-glutathione disulfide) showed relatively low recoveries at three concentration levels (60.8-74.3%). The limit of quantification (LOQ) for most compounds was in the range of 0.6-10 ng/mL (6-100 pg on column). This method was successfully applied to the analysis of amino acids and their derivatives in breast cancer cell samples. Principal component analysis (PCA) and the orthogonal projections to latent structures (OPLS) showed a clear discrimination of the non-tumorigenic breast epithelial cell line MCF-10A from the breast cancer cell line HCC 1806. Characteristic metabolic changes in amino acid metabolism were observed in the breast cancer cell line. This quantified analytical method of 40 endogenous amino acids and their derivatives in cell lines meets the requirement of quantification in specific expanded metabolomics studies with good sensitivity.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amino acid; Amino acid derivatives; Cancer cell; HILIC; Target metabolomics; UHPLC-MS/MS

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Year:  2019        PMID: 31594590     DOI: 10.1016/j.talanta.2019.120256

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


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