Journal of Proteome Research · 2005 · 69 citations · 38 references
Life SciencesBiochemistrySystems BiologyMulti-omics IntegrationProteomicsSystems MedicineBiomarker DiscoveryMass Spectrometry-based ProteomicsProtein IdentificationProteomic BiomarkersProteomic ProfilingProteomics Data IntegrationBiofluid Biomarker DiscoveryBiofluid ProteomicsGel-based ProteomicsMass Spectrometry-based Protein IdentificationProtein Expression BiomarkersProtein Expression LevelsProtein Expression ProfilingSystems Biology Integration
Proteins and peptides present within clinical samples represent a valuable library of information regarding the ongoing processes within cells and tissues in health and disease. We have developed and validated novel technology applications that can be used to characterize the patterns of global protein expression in tissue and biofluids in either gel-based systems or by automated multidimensional nanocapillary liquid chromatography. Mass spectrophotometry platforms using MALDI MS and MS/MS or LTQ ion trap MS were capable of delivering sensitive and accurate identifications of hundreds of proteins contained in individual samples including individual forms of processing intermediates such as phospho peptides. The Systems Biology approach of integrating protein expression data with clinical data such as histopathology, clinical functional measurements, medical imaging scores, patient demographics, and clinical outcome provides a powerful tool for linking biomarker expression with biological processes that can be segmented and linked to disease presentation.
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Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels
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A Protein Interaction Map of <i>Drosophila melanogaster</i>
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Proteomic patterns of tumour subsets in non-small-cell lung cancer
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