101. Functional Evaluation of Anticancer Drugs in Human Leukemia Cells Based on Metabolic Profiling Technique
- Author
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Hiroyuki Wariishi, Hirofumi Tachibana, Daisuke Miura, and Yoshinori Fujimura
- Subjects
Detection limit ,Drug ,Chromatography ,Chemistry ,Metabolite ,media_common.quotation_subject ,Pharmacology ,medicine.disease ,Mass spectrometry ,Jurkat cells ,Leukemia ,chemistry.chemical_compound ,Metabolomics ,Cancer cell ,medicine ,media_common - Abstract
Matrix-assisted laser desorption ionization-mass spectrometry (MALDI-MS) has several advantages in metabolomics. It is a highly sensitive, high-throughput, and low sample-consuming (within 1 μL) technique compared to other analytical platforms based on LC-MS, GC-MS or CE-MS. In the present study, high-throughput and non-targeted metabolomic technique using MALDI-MS was developed for the rapid analysis of cellular metabolites. Either detection limit or linearity between concentrations of several standards and peak intensities was examined, indicating the detection limit lower than 10 fmol/well and high linearity at low concentrations. To verify the validity of the method, metabolites from human leukemia cells were analyzed. Only 2,500 cells (0.5 μL of 5 × 106 cells/mL) were applied onto the sample plate. Low-molecular weight metabolites were analyzed in negative ion mode. Up to 150 metabolite peaks were detected from the single analysis (200 shots/sample) within 90 s. For multivariate analysis of human acute lymphoblastc leukemia Jurkat cells against drug-treatment, three anticancer drugs (methotrexate, 5-fluorouracil, and epigallocatechin-3-O-gallate) were utilized. Prior to MS analysis, an inhibitory effect of these drugs on cancerous cell growth was clearly observed. Principal component analysis on metabolites showed a clear observation of independent clusters for cells treated with these anticancer drugs. Furthermore, several metabolites involved in nucleotide synthesis were found to contribute to the separation of each cluster. These data suggest that the high-throughput MALDI-MS-based metabolomic technique proposed in the present study can be utilized for the drug screening and validation of drug efficacy and safety.
- Published
- 2010
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