Multivariable difference gel electrophoresis and mass spectrometry -: A case study on transforming growth factor-β and ErbB2 signaling

被引:27
作者
Friedman, David B.
Wang, Shizhen E.
Whitwell, Corbin W.
Caprioli, Richard M.
Arteaga, Carlos L.
机构
[1] Vanderbilt Univ, Sch Med, Mass Spectrometry Res Ctr, Dept Biochem, Nashville, TN 37232 USA
[2] Vanderbilt Univ, Sch Med, Dept Med, Nashville, TN 37232 USA
[3] Vanderbilt Univ, Sch Med, Dept Canc Biol, Nashville, TN 37232 USA
[4] Vanderbilt Univ, Sch Med, Breast Canc Res Program, Vanderbilt Ingram Comprehens Canc Ctr, Nashville, TN 37232 USA
关键词
D O I
10.1074/mcp.D600001-MCP200
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Multivariable DIGE/MS was used to investigate proteins altered in expression and/or post-translational modification in response to activation of transforming growth factor (TGF)-beta receptors in MCF10A mammary epithelial cells overexpressing the HER2/Neu (ErbB2) oncogene. Proteome changes were monitored in response to exogenous TGF-beta over time (0, 8, 24, and 40 h), and proteins were resolved using medium range (pH 4-7) and narrow range (pH 5.3-6.5) isoelectric focusing combined with up to 2 mg of protein to allow inspection of lower abundance proteins. Triplicate samples were prepared independently and analyzed together across multiple DIGE gels using a pooled sample internal standard to quantify expression changes with statistical confidence. Unsupervised principle component analysis and hierarchical clustering of the individual DIGE proteome expression maps provided independent confirmation of distinct expression patterns from the individual experiments and demonstrated high reproducibility between replicate samples. Fifty-nine proteins (including some isoforms) that exhibited significant kinetic expression changes were identified using mass spectrometry and database interrogation and were mapped to existing biological networks involved in TGF-beta signaling. Several proteins with a potential role in breast cancer, such as maspin and cathepsin D, were identified as novel molecules associated with TGF-beta signaling.
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页码:150 / 169
页数:20
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