Literature DB >> 19016532

Quantitative proteome analysis of HCC cell lines with different metastatic potentials by SILAC.

Ning Chen1, Wei Sun, Xinyu Deng, Yunwei Hao, Xilin Chen, Baocai Xing, Wei Jia, Jie Ma, Handong Wei, Yunping Zhu, Xiaohong Qian, Ying Jiang, Fuchu He.   

Abstract

Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide and metastasis is the main cause for treatment failure and high fatality of HCC. In order to make further exploration into the mechanism of HCC metastasis and to search for the candidates of diagnostic marker and therapeutic target, stable-isotope labeling by amino acids in cell culture (SILAC) technique was employed to conduct differential proteome analysis on HCC cell lines--MHCC97L and HCCLM6 with low and high metastatic potentials. In total, 2335 reliable proteins were identified using LTQ-FT mass spectrum, among which 91 proteins were upregulated and 61 proteins were downregulated in HCCLM6. Most of the upregulated proteins were involved in adherence, morphogenesis, and lipid synthesis, while lots of the downregulated proteins were involved in electron transport, which might be crucial for HCC metastasis. Six dysregulated proteins were validated by Western blotting in the cell lines. Interestingly, the upregulation of solute carrier family 12 member 2 (SLC 12A2) and protein disulfide-isomerase A4 (PDIA4) were further confirmed in the culture supernatants by Western blotting and in the sera of HCC patients with different metastatic potentials by ELISA. Our study provided not only the valuable insights into the HCC metastasis mechanisms but also the potential candidate biomarkers for prediction of HCC metastasis.

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Year:  2008        PMID: 19016532     DOI: 10.1002/pmic.200800280

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  20 in total

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4.  Proteome analysis of human pancreatic cancer cell lines with highly liver metastatic potential by antibody microarray.

Authors:  Weidong Shi; Zhiqiang Meng; Zhen Chen; Jianmin Luo; Luming Liu
Journal:  Mol Cell Biochem       Date:  2010-10-20       Impact factor: 3.396

5.  Glycoprotein capture and quantitative phosphoproteomics indicate coordinated regulation of cell migration upon lysophosphatidic acid stimulation.

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Journal:  Mol Cell Proteomics       Date:  2010-07-16       Impact factor: 5.911

6.  Proteomic differences between hepatocellular carcinoma and nontumorous liver tissue investigated by a combined gel-based and label-free quantitative proteomics study.

Authors:  Dominik A Megger; Thilo Bracht; Michael Kohl; Maike Ahrens; Wael Naboulsi; Frank Weber; Andreas-Claudius Hoffmann; Christian Stephan; Katja Kuhlmann; Martin Eisenacher; Jörg F Schlaak; Hideo A Baba; Helmut E Meyer; Barbara Sitek
Journal:  Mol Cell Proteomics       Date:  2013-03-05       Impact factor: 5.911

7.  Quantitative proteomics of extracellular vesicles derived from human primary and metastatic colorectal cancer cells.

Authors:  Dong-Sic Choi; Do-Young Choi; Bok Sil Hong; Su Chul Jang; Dae-Kyum Kim; Jaewook Lee; Yoon-Keun Kim; Kwang Pyo Kim; Yong Song Gho
Journal:  J Extracell Vesicles       Date:  2012-09-11

8.  Identification of tyrosine-phosphorylated proteins associated with metastasis and functional analysis of FER in human hepatocellular carcinoma cells.

Authors:  Haiyu Li; Zhenggang Ren; Xiaonan Kang; Lan Zhang; Xuefei Li; Yan Wang; Tongchun Xue; Yuefang Shen; Yinkun Liu
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9.  A quantitative proteomic analysis uncovers the relevance of CUL3 in bladder cancer aggressiveness.

Authors:  Laura Grau; Jose L Luque-Garcia; Pilar González-Peramato; Dan Theodorescu; Joan Palou; Jesus M Fernandez-Gomez; Marta Sánchez-Carbayo
Journal:  PLoS One       Date:  2013-01-08       Impact factor: 3.240

10.  Development of biomarkers for screening hepatocellular carcinoma using global data mining and multiple reaction monitoring.

Authors:  Hyunsoo Kim; Kyunggon Kim; Su Jong Yu; Eun Sun Jang; Jiyoung Yu; Geunhee Cho; Jung-Hwan Yoon; Youngsoo Kim
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

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