Home

About BE

News & Events

People

Programs

Application

Research

Resources

Writing Lab


 

Department of Biological Engineering
Forest White, Ph.D.

Forest White, Ph.D.

Professor of Biological Engineering

Research group web site

 

E-mail: fwhite@mit.edu
Office: 76-353
Phone: (617) 258-8949
Administrative Assistant: Isadora Deese




Research Focus

The focus of research in my lab is the identification of protein phosphorylation events regulating signal transduction cascades associated with cancer and other biological processes. With our mass spectrometry-based technology, identification of protein phosphorylation occurs on a global scale, allowing for mapping of complex signal transduction cascades in a variety of biological samples. Initially, we will apply the technology to cancer, starting with human cell lines and progressing to a variety of other model systems, with the goal of analyzing staged human clinical samples. Elucidation of signal transduction cascades involved in oncogenesis, cancer progression, and metastasis will generate both novel drug targets and a host of biological markers, allowing for early diagnosis and tracking of cancer progression. A variety of other applications will be pursued, including mapping the phosphorylation events associated with DNA damage response and cell cycle regulation.


Selected Publications

Ficarro, S.B.; McCLeland, M.L.; Stukenberg, P.T.; Burke, D.J.; Ross, M.M.; Shabanowitz, J.; Hunt, D.H.; White, F.M. “Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae”, Nat. Biotechnol. v20 n3, March 2002, pp. 301-305.

Zhang, Y; Wolf-Yadlin, A.; Pappin, D.J.; Rush, J.; Lauffenburger, D.A.; White, F.M. “Time resolved mass spectrometry of tyrosine phosphorylation sites in the EGF receptor signaling network reveals dynamic modules” Mol. Cell. Proteomics v4 n9, September 2005, pp. 1240-1250.

Moser, K.; White, F.M. “Phosphoproteomic Analysis of Rat Liver by High Capacity IMAC and LC-MS/MS” J. Proteome Res. v5 n1, January 2006, pp. 98-104.

Kim, J.E.; White F.M. “Quantitative Analysis of Phosphotyrosine Signaling Networks triggered by CD3 and CD28 co-stimulation in Jurkat cells” J. Immunol., v176 n5, March 2006, pp. 2833-2843.

Schmelzle, K.; Kane, S.; Gridley, S.; Lienhard, G.E.; White, F.M. Temporal Dynamics of Tyrosine Phosphorylation in Insulin Signaling” Diabetes, v55, August 2006, pp. 2171-2179.

Wolf-Yadlin, A.; Zhang, Y.; Kumar, N.; Hautaniemi, S.; Zaman, M.; Kim, H.-D.; Grantcharova, V.; Lauffenburger, D.A.; White, F.M.Quantitative Phosphoproteomic Analysis of HER2-overexpression effects on Cell Signaling Networks governing proliferation and migration” Mol. Systems Biol., 2, 2006, pp. 54.

Wolf-Yadlin, A.; Hautaniemi, S.; Lauffenburger, D.A.; White, F.M. “Multiple reaction monitoring for robust quantitative analysis of cellular signaling networks” Proc. Nat. Acad. Sci., v104 n14 April 2007, pp. 5860-5865.

Huang, P.H.; Mukasa, A.; Bonavia, R.; Flynn, R.A.; Brewer, Z.E.; Cavenee, W.K.; Furnari, F.B.; White, F.M.  “Quantitative analysis of EGFRvIII cellular signaling networks reveals a combinatorial therapeutic strategy for glioblastomaProc. Nat. Acad. Sci., v104 n31 July 2007, pp. 12867-12872.

Huang, P.H.; Cavenee, W.K.; Furnari, F.B.; White F.M. “Uncovering therapeutic targets for glioblastoma: a systems biology approach” Cell Cycle, v6 n22 November 2007, pp. 2750-2754.

Joughin B.A.; Naegle K.M.; Huang P.H.; Yaffe M.B.; Lauffenburger D.A.; White F.M. “An integrated comparative phosphoproteomic and bioinformatic approach reveals a novel class of MPM-2 motifs upregulated in EGFRvIII-expressing glioblastoma cells.”Mol Biosyst., v5 n1 January 2009, pp. 59-67.

Huang P.H.; White F.M. “Combinatorial Therapeutic Strategies for Blocking Kinase Pathways in Brian Tumors” In CNS Cancer, E. Van Meir ed., 2009, pp. 953-976, Human Press, New York, NY

Huang, P.H.; Miraldi, E.R.; Xu, A.M.; Kundukulam, V.A.; Del Rosario, A.M.; Flynn, R.A.; Cavenee, W.K.; Furnari, F.B.; White, F.M. “Phosphotyrosine signaling analysis of site-specific mutations on EGFRvIII identifies determinants governing glioblastoma cell growth”, Mol Biosyst., 2010, DOI: 10.1039/c001196g.

 

Copyright © 2013 MIT Department of Biological Engineering. All Rights Reserved. Site designed by Academic Web Pages.