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A simultaneously quantitative method to profiling twenty endogenous nucleosides and nucleotides in cancer cells using UHPLC-MS/MS

  • Bangjie Zhu
  • , Hai Wei
  • , Qingjiang Wang
  • , Fugang Li
  • , Jieyu Dai
  • , Chao Yan*
  • , Yu Cheng
  • *Corresponding author for this work
  • East China Normal University
  • Shanghai Jiao Tong University
  • Shanghai University of Traditional Chinese Medicine
  • HD Biosciences (China) Co., Ltd.

Research output: Contribution to journalArticlepeer-review

Abstract

Endogenous nucleosides and nucleotides in biosamples are frequently highlighted as the most differential metabolites in recent metabolomics studies. We developed a rapid, sensitive, high-throughput and reliable quantitative method to simultaneously profile 20 endogenous nucleosides and nucleotides in cancer cell lines based on ultra-high performance liquid chromatography-electrospray tandem mass spectrometry (UHPLC- MS/MS) by using a porous graphitic carbon column and basic mobile phase. The results indicated that high pH value of mobile phase containing 0.12% diethylamine (DEA) and 5 mM NH4OAC (pH 11.5) was the critical factor to prevent the adsorption of multi-phosphorylated species, and significantly improved peak shape and sensitivity. The optimized method was successfully validated with satisfactory linearity, sensitivity, accuracy, precision, matrix effects, recovery and stability for all analytes. The limit of quantification (LOQ) was in the range of 0.6–6 nM (6–60 fmol on column). The validated method was applied to the extract of three epithelial cancer cell lines, and the significant difference in the profiling of the nucleosides and nucleotides among the cancer cell lines enables discrimination of breast cancer cell line from the colon cancer cell line and the lung cancer cell line. This quantified analytical method of 20 endogenous nucleosides and nucleotides in cancer cell lines meets the requirement of quantification in specific expanded metabolomics studies, with good selectivity and sensitivity.

Original languageEnglish
Pages (from-to)615-623
Number of pages9
JournalTalanta
Volume179
DOIs
StatePublished - 1 Mar 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer cell
  • Endogenous
  • Nucleoside
  • Nucleotide
  • UHPLC-MS/MS

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