No abstract

Novel polyamine carbamates have been designed and prepared from cholesterol. Our synthesis uses an orthogonal protection strategy based upon trifluoroacetyl and Boc-protecting groups. These unsymmetrical polyamine carbamates have been prepared from symmetrical (e.g., spermine and thermine) polyamines. Detailed interpretations of (1)H and (13)C NMR spectroscopic data led to the unambiguous assignment of these polyamine carbamates. These target conjugates contain a variety of positive charges distributed along methylene chains. Their pK(a)s have been determined potentiometrically for conjugates substituted with up to five amino functional groups. Condensation of calf thymus DNA into particles was monitored using light scattering at 320 nm. Salt-dependent binding affinity for calf thymus DNA was determined using an ethidium bromide fluorescence quenching assay. These cholesteryl polyamine carbamates are models for lipoplex formation with respect to gene delivery (lipofection), a key first step in gene therapy.

Novel cholesterol-polyamine carbamates have been prepared and their pK a s determined potentiometrically for conjugates substituted with up to five amino functional groups and the binding affinity for calf thymus DNA has also been determined; these polyamine carbamates are models for lipoplex formation with respect to gene delivery (lipofection), a key first step in gene therapy.

By coupling a single UPLC separation to two different types of mass spectrometer an unbiased comparison of the metabolite profiles produced by each instrument for a set of rat urine samples was obtained. The flow from the UPLC column was split equally and both streams of eluent were simultaneously directed to the inlets of the two mass spectrometers. Mass spectrometry on the eluent was undertaken using a triple quadrupole linear ion trap and a hybrid quadrupole time of flight mass spectrometer using both positive and negative ESI. Data from both mass spectrometers were subjected to multivariate statistical analysis, after applying the same data extraction software, and showed the same general pattern of correlation between the samples using both unsupervised and supervised methods of statistical analysis. Based on orthogonal partial least square discriminant analysis models a number of ions were recognized as “responsible” for the separation of the animal groups. From the peaks detected, and denoted as significant by the statistical analysis a number of ions were found to be unique to one dataset or the other, a result which may have consequences for biomarker discovery and inter-laboratory comparisons. The software package used for data analysis also had an effect on the outcome of the statistical analysis.