Proteomics
The synthesis, activity and degradation of proteins,
the functional products of genes, are regulated by the modification of
the proteins’ amino acid sequences. Thus changes in gene expression,
signal transduction and, ultimately, deregulation of cell processes in
cancer, are reflected in changes in protein content and composition.
Introduction
Part of a two-dimensional differential gel electrophoresis (2D-DIGE) image indicating differential protein expression in two cell samples.
LICR scientists are
using protein expression profiling to comprehensively analyze thousands
of proteins in tissue samples and/or cell types. Protein expression profiling
identifies gene activation and repression by indicating the presence and
absence (and relative amount) of the protein product. It also identifies
changes in protein modification that signifies activation or repression
of signal transduction pathways required for cell processes such as growth,
division and migration.
Protein differences are analyzed primarily through the use of two-dimensional
polyacrylamide gel electrophoresis (2D-PAGE) that separate proteins based
on their size and ‘isoelectric point’ (electric charge), which
are determined by amino acid sequences. Proteins found to be differentially
expressed in cancer cells and normal cells, are typically identified through
the use of mass spectrometry, in which the protein is fragmented and the
atomic and molecular mass of the resultant fragments then related to the
known masses of amino acids and their modifications.
Identifying protein expression and modification is helping to further
our understanding of how and why cancer occurs, allowing the development
of better screening techniques for the diagnosis, prognosis and treatment
of cancer, and identifying targets for future therapy strategies.
LICR investigators are applying proteomics technologies to analyze:
- The
Effects of ErbB-2 Over-expression in Breast Cancer — at
the London Branch, investigators have used two-dimensional differential
gel electrophoresis (2D-DIGE) and mass spectrometry to analyze protein
expression during the cell cycle changes in a breast cancer cell
model that over-expresses the ErbB-2/HER-2 receptor tyrosine kinase.
Overexpression of this receptor is found in 25-30% of breast cancers.
- Dynamic Changes
in Protein-Protein Interactions — at the LICR San Diego
Branch, investigators have devised a new technique for quantitatively
analyzing the composition and phosphorylation of protein complexes.
Areas of biological interest include the identification of protein
complexes involved in halting the cell cycle when DNA damage occurs
and thus preventing damaged normal cells becoming cancer cells.
- Joint ProteomicS
Laboratory (JPSL) — the JPSL at the LICR Melbourne Branch
is a joint initiative between LICR and the Walter and Eliza Hall
Institute (WEHI, Melbourne, Australia). The JPSL is involved in
the development of new proteomics systems, and software and instrumentation
for mass spectrometry, which increase the flexibility, speed, and
sensitivity of protein identification and analysis. Areas of biological
interest include the identification of specific and sensitive markers
of colon cancer, and structure/function relationships in the interleukin-6/gp130
system.
Key Publications
- M.B. Smolka, C.P. Albuquerque, S.H. Chen, K.H. Schmidt, X.X. Wei, R.D. Kolodner, H. Zhou. Dynamic changes in protein-protein interaction and protein phosphorylation probed with amine reactive isotope tag. Molecular and Cellular Proteomics 4(9):1358-69, 2005.
- M. Lomnytska, V. Lukiyanchuk, U. Hellman, S. Souchelnytskyi. Transforming growth factor-beta1-regulated proteins in human endothelial cells identified by two dimensional gel electrophoresis and mass spectrometry. Proteomics 4(4):995-1006, 2004.
- S. Gharbi, P. Gaffney, A. Yang, M. J. Zvelebil, R. Cramer, M. D. Waterfield, and J. F. Timms. Evaluation of two-dimensional differential gel electrophoresis for proteomic expression analysis of a model breast cancer cell system. Mol.Cell Proteomics. 1 (2):91-98, 2002.
- R. A. Harris, A. Yang, R. C. Stein, K. Lucy, L. Brusten, A. Herath, R. Parekh, M. D. Waterfield, M. J. O'Hare, M. A. Neville, M. J. Page, and M. J. Zvelebil. Cluster analysis of an extensive human breast cancer cell line protein expression map database. Proteomics. 2 (2):212-223, 2002.