Publications
Vascular endothelial growth factor (VEGF) and platelet (PF-4) factor 4 inputs modulate human microvascular endothelial signaling in a three-dimensional matrix migration context. Mol Cell Proteomics. 2013;12(12):3704-18.
. Uncovering therapeutic targets for glioblastoma: a systems biology approach. Cell Cycle. 2007;6(22):2750-4.
. Toward quantitative phosphotyrosine profiling in vivo. Semin Cell Dev Biol. 2012;23(8):854-62.
. A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes. J Phys Chem B. 2016;.
. System level dynamics of post-translational modifications. Curr Opin Biotechnol. 2014;28C:83-87.
. Stimulus design for model selection and validation in cell signaling. PLoS Comput Biol. 2008;4(2):e30.
. Sloppy models, parameter uncertainty, and the role of experimental design. Mol Biosyst. 2010;6(10):1890-900.
. SirT1 is required in the male germ cell for differentiation and fecundity in mice. Development. 2014;141(18):3495-504.
. Robust co-regulation of tyrosine phosphorylation sites on proteins reveals novel protein interactions. Mol Biosyst. 2012;8(10):2771-82.
. Quantitative Profiling of Lysine Acetylation Reveals Dynamic Crosstalk between Receptor Tyrosine Kinases and Lysine Acetylation. PLoS One. 2015;10(5):e0126242.
. Quantitative Phosphoproteomics Reveals Wee1 Kinase as a Therapeutic Target in a Model of Proneural Glioblastoma. Mol Cancer Ther. 2016;15(6):1332-43.
. Quantitative phosphoproteomic analysis of signaling network dynamics. Curr Opin Biotechnol. 2008;19(4):404-9.
. Quantitative analysis of signaling networks across differentially embedded tumors highlights interpatient heterogeneity in human glioblastoma. J Proteome Res. 2014;13(11):4581-93.
. Quantitative analysis of EGFRvIII cellular signaling networks reveals a combinatorial therapeutic strategy for glioblastoma. Proc Natl Acad Sci U S A. 2007;104(31):12867-72.
. Qualitatively different T cell phenotypic responses to IL-2 versus IL-15 are unified by identical dependences on receptor signal strength and duration. J Immunol. 2014;192(1):123-35.
. PTMScout, a Web resource for analysis of high throughput post-translational proteomics studies. Mol Cell Proteomics. 2010;9(11):2558-70.
. Phosphotyrosine signaling analysis of site-specific mutations on EGFRvIII identifies determinants governing glioblastoma cell growth. Mol Biosyst. 2010;6(7):1227-37.
. Phosphoproteomics: unraveling the signaling web. Mol Cell. 2008;31(6):777-81.
. Multiple reaction monitoring for robust quantitative proteomic analysis of cellular signaling networks. Proc Natl Acad Sci U S A. 2007;104(14):5860-5.
. Molecular network analysis of phosphotyrosine and lipid metabolism in hepatic PTP1b deletion mice. Integr Biol (Camb). 2013;5(7):940-63.
. Molecular characterization of EGFR and EGFRvIII signaling networks in human glioblastoma tumor xenografts. Mol Cell Proteomics. 2012;11(12):1724-40.
. Modeling HER2 effects on cell behavior from mass spectrometry phosphotyrosine data. PLoS Comput Biol. 2007;3(1):e4.
. Minor Changes in Expression of the Mismatch Repair Protein MSH2 Exert a Major Impact on Glioblastoma Response to Temozolomide. Cancer Res. 2015;75(15):3127-38.
. MCAM: multiple clustering analysis methodology for deriving hypotheses and insights from high-throughput proteomic datasets. PLoS Comput Biol. 2011;7(7):e1002119.
. .