Simultaneous C- and N-Alkylation of 2-Oxo-4,6-diaryl-1,2,3,4-tetrahydropyridine-3-carbonitrile Under Solid–Liquid Phase-Transfer Conditions

The alkylation of 2-oxo-4,6-diaryl-1,2,3,4-tetrahydropyridine-3-carbonitrile 1 has been carried out using different alkyl/arylating agents in solid–liquid phase-transfer catalysis conditions. The aim was to study the effect of steric hindrance offered by the aryl group in the sixth position of the pyridine ring on the ambient N- vs. O-alkylation ratio. Simultaneous C- and N-alkylation was encountered and confirmed by x-ray crystallography. Our study to gain exclusive regiocontrol for simultaneous alkylation was carried out. An alternative route for C?C bond formation was also established by the removal of the cyano functionality.     

Microfluidic platform with mass spectrometry detection for the analysis of phosphoproteins

The development of novel and reliable technologies for the analysis of proteins and their post-translational modifications, in particular, has recently received much attention and interest. The implementation of a fully integrated microfluidic device interfaced with MS detection for the analysis of phosphoproteins is presented in this paper. The microfluidic platform (3'x1.5') comprises two individual sample processing systems: one for performing direct sample infusion and one for performing microfluidic LC separations. Various MS detection strategies, specific for the study of post-translational modifications, were conducted using alpha-casein as a model protein. Neutral loss ion mapping, data-dependent triple-play and neutral loss analysis, and in situ dephosphorylation followed by LC separation and MS detection were performed. Consistent results in identifying phosphopeptides with conventional and microfluidic instrumentation have been obtained. Unlike with conventional instrumentation, however, the microfluidic device enabled the completion of each analysis from only a few microliters of sample, in approximately 10-15 min, and on a bioanalytical platform that facilitates multiplexing and disposability, and thus high-throughput, contamination-free analysis.     

Proteome profile of the MCF7 cancer cell line: a mass spectrometric evaluation

The development of novel proteomic technologies that will enable the discovery of disease specific biomarkers is essential in the clinical setting to facilitate early diagnosis and increase survivability rates. We are reporting a shotgun two-dimensional (2D) strong cationic exchange/reversed-phase liquid chromatography/electrospray ionization tandem mass spectrometry (SCX/RPLC/ESI-MS/MS) protocol for the analysis of proteomic constituents in cancerous cells. The MCF7 breast cancer cell line was chosen as a model system. A series of optimization steps were performed to improve the LC/MS experimental setup, sample preparation, data acquisition and database search protocols, and a data filtering strategy was developed to enable confident identification of a large number of proteins and potential biomarkers. This research has resulted in the identification of >2000 proteins using multiple filtering and p-value sorting. Approximately 1600-1900 proteins had p < 0.001, and, of these, approximately 60% were matched by >or=2 unique peptides. Alternatively, >99% of the proteins identified by >or=2 unique peptides had p < 0.001. When searching the data against a reversed database of proteins, the rate of false positive identifications was 0.1% at the peptide level and 0.4% at the protein level. The typical reproducibility in detecting overlapping proteins across replicate runs exceeded 90% for proteins matched by >or=2 unique peptides. According to their biological function, approximately 200 proteins were involved in cancer-relevant cellular processes, and over 25 proteins were previously described in the literature as putative cancer biomarkers, as they were found to be differentially expressed between normal and cancerous cell states. Among these, biomarkers such PCNA, cathepsin D, E-cadherin, 14-3-3-sigma, antigen Ki-67, TP53RK, and calreticulin were identified. These data were generated by subjecting to MS analysis approximately 42 microg of sample, analyzing 16 SCX peptide fractions, and interpreting approximately 55,000 MS2 spectra. Total MS time required for analysis was 40 h.