Nicholas Gauthier, PhDSenior Scientist
Nick's background is in computer science and computational biology. During his graduate work in cancer biology at Memorial Sloan Kettering Cancer Center, he became fascinated by how "normal" cells in the tumor microenvironment influence cancer development, maintenance, and progression. To address limitations in existing methods for studying tumor-microenvironment interactions, he developed a proteomic method called CTAP for identifying and linking thousands of proteins to their cellular source in heterogeneous cell culture using mass spectrometry. During his postdoc, Nick developed a web resource for visualizing and analyzing recurrent mutation hotspots in protein domains in cancer ( and also spearheaded technology development for evolutionary constraint determination. At the cBio Center at DFCI, Nick is leading an experimental lab focused on method development for evolution-selection experiments and evaluating combination therapies for overcoming cancer drug resistance.


Department of Biostatistics and Computational Biology
Dana-Farber Cancer Institute
450 Brookline Avenue
Boston, MA 02115

2007–2012 Ph.D. in Cancer Biology (Mentor: Chris Sander)
Gerstner Sloan Kettering Graduate School of Biomedical Sciences, New York, NY USA

2006–2008 M.Sc. in Bioinformatics (Mentor: Søren Brunak)
Technical University of Denmark, Lyngby, Denmark

1998–2003 B.Sc. in Computer Science
University of Utah, Salt Lake City, UT USA



For a complete list see here: Google Scholar

  1. Gauthier, N. P., Soufi, B., Walkowicz, W. E., Pedicord, V. a., Mavrakis, K. J., Macek, B., Gin, D. Y., Sander, C., and Miller, M. L. Cell-selective labeling using amino acid precursors for proteomic studies of multi-cellular environments. Nature methods 10(8), 768–73, aug (2013).
  1. Molinelli, E. J., Korkut, A., Wang, W., Miller, M. L., Gauthier, N. P., Jing, X., Kaushik, P., He, Q., Mills, G., Solit, D. B., Pratilas, C. a., Weigt, M., Braunstein, A., Pagnani, A., Zecchina, R., and Sander, C. Perturbation biology: inferring signaling networks in cellular systems. PLoS computational biology 9(12), e1003290, dec (2013).
  1. Gauthier, N. P., Reznik, E., Gao, J., Sumer, S. O., Schultz, N., Sander, C., and Miller, M. L. Mutation-Aligner: a resource of recurrent mutation hotspots in protein domains in cancer. Nucleic acids research 44(November 2015), 1–6 (2015).
  1. Miller, M. L., Reznik, E., Gauthier, N. P., Askoy, B. A., Korkut, A., Gao, J., Ciriello, G., Schultz, N., and Sander, C. Pan-Cancer Analysis of Mutation Hotspots in Protein Article Pan-Cancer Analysis of Mutation Hotspots in Protein Domains. Cell Systems 1(3), 197–209 (2015).
  1. Gauthier, N. P., Larsen, M. E., Wernersson, R., de Lichtenberg, U., Jensen, L. J., Brunak, S., and Jensen, T. S.–a comprehensive multi-organism online database of cell-cycle experiments. Nucleic acids research 36(Database issue), D854–9, jan (2008).