Search

Tissue inhibitor of metalloproteinase 1 (TIMP-1) is a protein with a potential biological role in drug resistance. To elucidate the unknown molecular mechanisms underlying the association between high TIMP-1 levels and increased chemotherapy resistance, we employed SILAC-based quantitative mass spectrometry to analyze global proteome and phosphoproteome differences of MCF-7 breast cancer cells expressing high or low levels of TIMP-1. In TIMP-1 high expressing cells, 312 proteins and 452 phosphorylation sites were up-regulated. Among these were the cancer drug targets topoisomerase 1, 2A, and 2B, which may explain the resistance phenotype to topoisomerase inhibitors that was observed in cells with high TIMP-1 levels. Pathway analysis showed an enrichment of proteins from functional categories such as apoptosis, cell cycle, DNA repair, transcription factors, drug targets and proteins associated with drug resistance or sensitivity, and drug transportation. The NetworKIN algorithm predicted the protein kinases CK2a, CDK1, PLK1, and ATM as likely candidates involved in the hyperphosphorylation of the topoisomerases. Up-regulation of protein and/or phosphorylation levels of topoisomerases in TIMP-1 high expressing cells may be part of the mechanisms by which TIMP-1 confers resistance to treatment with the widely used topoisomerase inhibitors in breast and colorectal cancer.

Phosphoproteomics deals with the identification and quantification of thousands of phosphopeptides. Localizing the phosphorylation site is however much more difficult than establishing the identity of a phosphorylated peptide. Further, recent findings have raised doubts of the validity of the site assignments in large-scale phosphoproteomics data sets. To improve methods for site localization, we made use of a synthetic phosphopeptide library and SILAC-labeled peptides from whole cell lysates and analyzed these with high-resolution tandem mass spectrometry on an LTQ Orbitrap Velos. We validated gas-phase phosphate rearrangement reactions during collision-induced dissociation (CID) and used these spectra to devise a quantitative filter that by comparing signal intensities of putative phosphorylated fragment ions with their nonphosphorylated counterparts allowed us to accurately pinpoint which fragment ions contain a phosphorylated residue and which ones do not. We also evaluated higher-energy collisional dissociation (HCD) and found this to be an accurate method for correct phosphorylation site localization with no gas-phase rearrangements observed above noise level. Analyzing a large set of HCD spectra of SILAC-labeled phosphopeptides, we identified a novel fragmentation mechanism that generates a phosphorylation site-specific neutral loss derived x-ion, which directly pinpoints the phosphorylated residue. Together, these findings significantly improve phosphorylation site localization confidence.

An activity-based isotope-coded affinity tagging (AB-ICAT) strategy for proteome-wide quantitation of active retaining endoglycosidases has been developed. Two pairs of biotinylated, cleavable, AB-ICAT reagents (light H(8) and heavy D(8)) have been synthesized, one incorporating a recognition element for cellulases and the other incorporating a recognition element for xylanases. The accuracy of the AB-ICAT methodology in quantifying relative glycosidase expression/activity levels in any two samples of interest has been verified using several pairs of model enzyme mixtures where one or more enzyme amounts and/or activities were varied. The methodology has been applied to the biomass-degrading secretomes of the soil bacterium, Cellulomonas fimi, under induction by different polyglycan growth substrates to obtain a quantitative profile of the relative expression/activity levels of individual active retaining endoglycanases per C. fimi cell. Such biological profiles are valuable in understanding the strategies employed by biomass-degrading organisms in exploiting environments containing different biomass polysaccharides. This is the first report on the application of an activity-based ICAT method to a biological system.