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Updated: Feb 16, 2026

Simultaneous Measurement of HDAC1 and HDAC6 Activity in HeLa Cells Using UHPLC-MS
Published on: August 10, 2017
A simultaneously quantitative method to profiling twenty endogenous nucleosides and nucleotides in cancer cells using
Bangjie Zhu1, Hai Wei2, Qingjiang Wang3
1School of Chemistry and molecular engineering, East China Normal University, Shanghai 200241, China; School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China.
We developed a sensitive method to quantify 20 nucleosides and nucleotides in cancer cells using UHPLC-MS/MS. This metabolomics approach successfully differentiated cancer cell lines, aiding in cancer research.
Area of Science:
- Metabolomics
- Analytical Chemistry
- Cancer Biology
Background:
- Endogenous nucleosides and nucleotides are key differential metabolites in cancer research.
- Accurate quantification is crucial for understanding their role in cancer cell lines.
Purpose of the Study:
- To develop a rapid, sensitive, and high-throughput quantitative method for profiling 20 endogenous nucleosides and nucleotides.
- To apply this method for discriminating between different cancer cell lines.
Main Methods:
- Ultra-high performance liquid chromatography-electrospray tandem mass spectrometry (UHPLC-MS/MS).
- Utilized a porous graphitic carbon column and a basic mobile phase (pH 11.5) with diethylamine (DEA) and ammonium acetate (NH4OAC).
- Method validation included linearity, sensitivity, accuracy, precision, matrix effects, recovery, and stability.
Main Results:
- Optimized basic mobile phase (pH 11.5) prevented adsorption and improved peak shape/sensitivity for multi-phosphorylated species.
- Achieved limits of quantification (LOQ) between 0.6-6 nM (6-60 fmol on column).
- Successfully discriminated between breast, colon, and lung cancer cell lines based on their nucleoside and nucleotide profiles.
Conclusions:
- The validated UHPLC-MS/MS method provides reliable quantification of 20 nucleosides and nucleotides in cancer cell lines.
- This method meets the demands of expanded metabolomics studies requiring high selectivity and sensitivity.
- The distinct metabolic profiles aid in distinguishing between different cancer types.
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