Research Papers:
Utilizing glycine N-methyltransferasegene knockout mice as a model for identification of missing proteins in hepatocellular carcinoma
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Abstract
Ming-Hui Yang1, Wan-Jou Chen2, Yaw-Syan Fu1,3, Bin Huang1,3, Wan-Chi Tsai4, Yi-Ming Arthur Chen1,5, Po-Chiao Lin6, Cheng-Hui Yuan7 and Yu-Chang Tyan1,2,5,8,9
1Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan
2Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
3Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan
4Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung, Taiwan
5Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
6Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan
7Mass Spectrometry Laboratory, Department of Chemistry, National University of Singapore, Singapore
8Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan
9Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
Correspondence to:
Yu-Chang Tyan, email: [email protected]
Keywords: glycine N-methyltransferase; hepatocellular carcinoma; missing protein; proteomics; human proteome atlas
Received: August 01, 2017 Accepted: November 13, 2017 Published: December 07, 2017
ABSTRACT
Glycine N-methyltransferase is a tumor suppressor gene for hepatocellular carcinoma, which can activate DNA methylation by inducing the S-adenosylmethionine to S-adenosylhomocystine. Previous studies have indicated that the expression of Glycine N-methyltransferase is inhibited in hepatocellular carcinoma. To confirm and identify missing proteins, the pathologic analysis of the tumor-bearing mice will provide critical histologic information. Such a mouse model is applied as a screening tool for hepatocellular carcinoma as well as a strategy for missing protein discovery. In this study we designed an analysis platform using the human proteome atlas to compare the possible missing proteins to human whole chromosomes. This will integrate the information from animal studies to establish an optimal technique in the missing protein biomarker discovery.
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