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Identification of quantitative and/or qualitative protein
expression differences and characterization of specific proteomes
(e.g., cancer cell proteome) will advance clinical diagnostics
and drug discovery. Up and down-regulation and the appearance
or disappearance of hundreds and sometimes even thousands
of proteins can be encountered in cellular systems subjected
to changes in physiological conditions, such as cancer. This
project aims to develop novel proteomics tools with the main
emphasis on mapping diseased cell proteomes and discover new
surrogate biological markers (biomarkers). Orthogonal and
distinctly unrelated separation techniques such as multidimensional
electrophoresis and chromatographic methods provide excellent
resolving power, while their miniaturization enables rapid
analysis times. Advanced bioinformatics tools are used for
quantification and comparison of individual proteins and up
and down-regulation domains between samples, e.g., cancer
cells vs. normal cells, anticancer drug treated cells vs.
non-treated cells, etc. Sophisticated data mining approaches
(bioinformatics) are applied to find biomarkers of clinical
interest.
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