Logo: University of Southern California

NIcholas Graham

Assistant Professor

 

 

 

 Research Topics


  • Systems Biology
  • Cancer cell signaling
  • Tumor metabolism
  • Data-driven modeling

 

Research Overview: Cancer systems biology

The Graham lab seeks to develop a quantitative understanding of the molecular networks that drive cancer development. We utilize a systems biology approach that integrates proteomic, metabolic and genomic data with data-driven computational modeling. Relying heavily on mass spectrometry to generate quantitative measurements of proteins and metabolites, we draw on biology, statistics and engineering to extract data from complex data sets across multiple components and time scales. Through iteration between experiment and computation, we aim to formulate predictive models of cancer phenotypes, and to enable translation of these models into the clinic, we actively collaborate with physician scientists and oncologists. 

 Selected Publications


  1. Thai M, Graham NA, Braas D, Nehil M, Komisopoulou E, Kurdistani SK, McCormick F, Graeber TG and Christofk HR (2014). Adenovirus E4ORF1-induced MYC activation promotes host cell anabolic glucose metabolism and virus replication. Cell Metabolism, 19(4), 694-701.

  2. Drake JM, Graham NA, Lee JK, Stoyanova T, Faltermeier CM, Sudha S, Titz B, Huang J, Pienta, KJ, Graeber TG and Witte ON (2013). Metastatic castration-resistant prostate cancer reveals intrapatient similarity and interpatient heterogeneity of therapeutic kinases. Proceedings of the National Academy of Sciences (USA), 110(49), E4762-9.

  3. Graham NA, Tahmasian M, Kohli B, Komisopoulou E, Zhu M, Vivanco I, Teitell MA, Wu H, Ribas A, Lo RS, Mellinghoff IK, Mischel PS, and Graeber TG (2012). Glucose deprivation activates a metabolic and signaling amplification loop leading to cell death. Molecular Systems Biology, 8:589. PMCID: PMC3397414 (profiled in accompanying News & Views)

  4. Drake JM, Graham NA, Stoyanova T, Sedghi A, Goldstein AS, Cai H, Smith DA, Zhang H, Komisopoulou E, Huang J, Graeber TG, and Witte ON (2012). Oncogene-specific activation of tyrosine kinase networks during prostate cancer progression. Proceedings of the National Academy of Sciences (USA), 109(5), 1643-8. PMCID: PMC3277127

  5. Sun J*, Masterman-Smith M*, Graham NA*, Jiao J*, Mottahedeh J, Laks DR, Ohashi M, DeJesus J, Kamei K, Lee KB, Wang H, Yu ZT, Lu YT, Hou S, Li K, Liu M, Zhang N, Wang S, Angenieux B, Panosyan E, Samuels ER, Park J, Williams D, Konkankit V, Nathanson D, van Dam RM, Phelps ME, Wu H, Liau LM, Mischel PS, Lazareff JA, Kornblum HI, Yong WH, Graeber TG and Tseng HR (2010). A microfluidic platform for systems pathology: multiparameter single-cell signaling measurements of clinical brain tumor specimens. Cancer Research, 70(15), 6128-38. PMCID: PMC3163840 (*denotes equal contribution)

  6. Kim JH, Kushiro K, Graham NA, Asthagiri AR (2009). Tunable Interplay between epidermal growth factor and cell-cell contact governs the spatial dynamics of epithelial growth. Proceedings of the National Academy of Sciences (USA), 106(27), 11149-53. PMCID: PMC2708686

  7. Graham NA, Pope MD, Rimchala T, Huang BK, and Asthagiri AR (2007). A microtiter assay for quantifying protein-protein interactions associated with cell-cell adhesion. The Journal of Biomolecular Screening, 12(5), 683-93.

  8. Graham NA and Asthagiri AR (2004). EGF-mediated Tcf/Lef transcriptional activity is essential, but not sufficient, for cell cycle progression in non-transformed mammary epithelial cells. The Journal of Biological Chemistry, 279(22), 23517-24.