Stable isotope dimethyl labeling combined with LTQ mass spectrometric detection, a quantitative proteomics technology used in liver cancer research

Tang,Bo; Li,Yang; Zhao,Liang; Yuan,Shengguang; Wang,Zhenran; Li,Bo; Chen,Qian

doi:10.3892/br.2013.100

Stable isotope dimethyl labeling combined with LTQ mass spectrometric detection, a quantitative proteomics technology used in liver cancer research

Authors:
- Bo Tang
- Yang Li
- Liang Zhao
- Shengguang Yuan
- Zhenran Wang
- Bo Li
- Qian Chen
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Affiliations: Department of Hepatobiliary Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001, P.R. China, Department of Medical Oncology, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001, P.R. China, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning 116023, P.R. China
Published online on: May 9, 2013 https://doi.org/10.3892/br.2013.100
Pages: 549-554

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Abstract

Liver cancer is a common malignant disease, with high incidence and mortality rates. The study on the proteomics of liver cancer has attracted particular attention. The quantitative study method of proteomics depends predominantly on two‑dimensional (2D) gel electrophoresis. In the present study we reported a rapid and accurate proteomics quantitative study method of high repeatability that includes the use of stable isotope labeling for the extraction of proteins and peptides via enzymolysis to achieve new type 2D capillary liquid chromatography‑mass spectrometry separation using the separation mode of cation‑exchange chromatography in conjunction with reversed‑phase chromatography. LTQ OrbiTrap mass spectrometry detection was also performed. A total of 188 differential proteins were analyzed, including 122 upregulating [deuterium/hydrogen ratio (D/H) >1.5)] and 66 downregulating proteins (D/H<0.67). These proteins may play an important role in the occurrence, drug resistance, metastasis and recurrence of cancer or other pathological processes. Such a proteomics technology may provide biological data as well as a new methodological basis for liver cancer research.

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