Literature DB >> 24648984

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

Bo Tang1, Yang Li2, Liang Zhao3, Shengguang Yuan1, Zhenran Wang1, Bo Li1, Qian Chen1.   

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.

Entities:  

Keywords:  liver cancer; mass spectrum; quantitative proteomics; stable isotope labeling

Year:  2013        PMID: 24648984      PMCID: PMC3917736          DOI: 10.3892/br.2013.100

Source DB:  PubMed          Journal:  Biomed Rep        ISSN: 2049-9434


  27 in total

1.  Molecular pathogenesis of human hepatocellular carcinoma.

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Journal:  Nat Genet       Date:  2002-08       Impact factor: 38.330

2.  Capillary trap column with strong cation-exchange monolith for automated shotgun proteome analysis.

Authors:  Fangjun Wang; Jing Dong; Xiaogang Jiang; Mingliang Ye; Hanfa Zou
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3.  Online multidimensional separation with biphasic monolithic capillary column for shotgun proteome analysis.

Authors:  Fangjun Wang; Jing Dong; Mingliang Ye; Xiaogang Jiang; Ren'an Wu; Hanfa Zou
Journal:  J Proteome Res       Date:  2007-12-08       Impact factor: 4.466

4.  Comparative phosphoproteomics of zebrafish Fyn/Yes morpholino knockdown embryos.

Authors:  Simone Lemeer; Chris Jopling; Joost Gouw; Shabaz Mohammed; Albert J R Heck; Monique Slijper; Jeroen den Hertog
Journal:  Mol Cell Proteomics       Date:  2008-06-11       Impact factor: 5.911

5.  Simulation of two dimensional electrophoresis and tandem mass spectrometry for teaching proteomics.

Authors:  Amanda Fisher; Emily Sekera; Jill Payne; Paul Craig
Journal:  Biochem Mol Biol Educ       Date:  2012-10-10       Impact factor: 1.160

6.  Interaction of 14-3-3 with signaling proteins is mediated by the recognition of phosphoserine.

Authors:  A J Muslin; J W Tanner; P M Allen; A S Shaw
Journal:  Cell       Date:  1996-03-22       Impact factor: 41.582

7.  Characterization and over-expression of chaperonin t-complex proteins in colorectal cancer.

Authors:  C Coghlin; B Carpenter; S R Dundas; L C Lawrie; C Telfer; G I Murray
Journal:  J Pathol       Date:  2006-11       Impact factor: 7.996

8.  Dual engagement of 14-3-3 proteins controls signal relay from ASK2 to the ASK1 signalosome.

Authors:  L M Cockrell; M C Puckett; E H Goldman; F R Khuri; H Fu
Journal:  Oncogene       Date:  2009-11-23       Impact factor: 9.867

9.  Isoform-specific expression of 14-3-3 proteins in human lung cancer tissues.

Authors:  Wenqing Qi; Xiaobing Liu; Dianhua Qiao; Jesse D Martinez
Journal:  Int J Cancer       Date:  2005-01-20       Impact factor: 7.396

10.  Forced expression of antisense 14-3-3beta RNA suppresses tumor cell growth in vitro and in vivo.

Authors:  Akinori Sugiyama; Yohei Miyagi; Yuko Komiya; Nobuya Kurabe; Chifumi Kitanaka; Naoko Kato; Yoji Nagashima; Yoshiyuki Kuchino; Fumio Tashiro
Journal:  Carcinogenesis       Date:  2003-08-01       Impact factor: 4.944

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  5 in total

1.  Establishment of Dimethyl Labeling-based Quantitative Acetylproteomics in Arabidopsis.

Authors:  Shichang Liu; Fengchao Yu; Zhu Yang; Tingliang Wang; Hairong Xiong; Caren Chang; Weichuan Yu; Ning Li
Journal:  Mol Cell Proteomics       Date:  2018-02-13       Impact factor: 5.911

2.  MicroRNA-144 inhibits hepatocellular carcinoma cell proliferation, invasion and migration by targeting ZFX.

Authors:  Hongbin Bao; Xinguo Li; Hengli Li; Hongli Xing; Binghui Xu; Xianfeng Zhang; Zhaoming Liu
Journal:  J Biosci       Date:  2017-03       Impact factor: 1.826

3.  S100A1 transgenic treatment of acute heart failure causes proteomic changes in rats.

Authors:  Yichen Guo; Lianqun Cui; Shiliang Jiang; Dongmei Wang; Shu Jiang; Chen Xie; Yanping Jia
Journal:  Mol Med Rep       Date:  2016-06-23       Impact factor: 2.952

4.  MicroRNA-155-3p promotes hepatocellular carcinoma formation by suppressing FBXW7 expression.

Authors:  Bo Tang; Biao Lei; Guangying Qi; Xingsi Liang; Fang Tang; Shengguang Yuan; Zhenran Wang; Shuiping Yu; Songqing He
Journal:  J Exp Clin Cancer Res       Date:  2016-06-16

5.  Proteomics of acute heart failure in a rat post-myocardial infarction model.

Authors:  Yichen Guo; Lianqun Cui; Shiliang Jiang; Airong Zhang; Shu Jiang
Journal:  Mol Med Rep       Date:  2017-06-20       Impact factor: 2.952

  5 in total

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