J Cancer 2017; 8(2):298-304. doi:10.7150/jca.17521

Research Paper

Metabolomic analysis of human oral cancer cells with adenylate kinase 2 or phosphorylate glycerol kinase 1 inhibition

Eoon Hye Ji1*, Li Cui1*, Xiaoqing Yuan2*, Siliangyu Cheng1, Diana Messadi1, Xinmin Yan2, Shen Hu1✉

1. School of Dentistry and Jonsson Comprehensive Cancer Center, University of California, Los Angeles, California 90095, United States.
2. Changzhou Second People's Hospital, Nanjing Medical University, Changzhou, 213003, China.
* Equal contribution.

Abstract

The purpose of this study was to use liquid chromatography-mass spectrometry (LC-MS) with XCMS for a quantitative metabolomic analysis of UM1 and UM2 oral cancer cells after knockdown of metabolic enzyme adenylate kinase 2 (AK2) or phosphorylate glycerol kinase 1 (PGK1). UM1 and UM2 cells were initially transfected with AK2 siRNA, PGK1 siRNA or scrambled control siRNA, and then analyzed with LC-MS for metabolic profiles. XCMS analysis of the untargeted metabolomics data revealed a total of 3200-4700 metabolite features from the transfected UM1 or UM2 cancer cells and 369-585 significantly changed metabolites due to AK2 or PGK1 suppression. In addition, cluster analysis showed that a common group of metabolites were altered by AK2 knockdown or by PGK1 knockdown between the UM1 and UM2 cells. However, the set of significantly changed metabolites due to AK2 knockdown was found to be distinct from those significantly changed by PGK1 knockdown. Our study has demonstrated that LC-MS with XCMS is an efficient tool for metabolomic analysis of oral cancer cells, and knockdown of different genes results in distinct changes in metabolic phenotypes in oral cancer cells.

Keywords: Liquid chromatography-mass spectrometry, XCMS, Oral cancer cells, Adenylate kinase 2, Phosphorylate glycerol kinase 1.

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How to cite this article:
Ji EH, Cui L, Yuan X, Cheng S, Messadi D, Yan X, Hu S. Metabolomic analysis of human oral cancer cells with adenylate kinase 2 or phosphorylate glycerol kinase 1 inhibition. J Cancer 2017; 8(2):298-304. doi:10.7150/jca.17521. Available from http://www.jcancer.org/v08p0298.htm