Suitably functionalized dipeptides have been shown to be effective hydrogelators. The design of the hydrogelators and the mechanism by which hydrogelation occurs are both currently not well understood. Here, we have utilized the hydrolysis of glucono-delta-lactone to gluconic acid as a means of adjusting the pH in a naphthalene-alanylvaline solution allowing the specific targeting of the final pH. In addition, this method allows the assembly process to be characterized. We show that assembly begins as charge is removed from the C-terminus of the dipeptide. The removal of charge allows lateral assembly of the molecules leading to pi-pi stacking (shown by CD) and beta-sheet formation (as shown by IR and X-ray fiber diffraction). This leads to the formation of fibrous structures. Electron microscopy reveals that thin fibers form initially, with low persistence length. Lateral association then occurs to give bundles of fibers with higher persistence length. This results in the initially weak hydrogel becoming stronger with time. The final mechanical properties of the hydrogels are very similar irrespective of the amount of GdL added; rather, the time taken to achieving the final gel is determined by the GdL concentration. However, differences are observed between the networks under strain, implying that the kinetics of assembly do impart different final materials' properties. Overall, this study provides detailed understanding of the assembly process that leads to hydrogelation.
SMA-Lipodisq nanoparticles, with one bacteriorhodopsin (bR) per 12 nm particle on average (protein/lipid molar ratio, 1:172), were prepared without the use of detergents. Using pulsed and continuous wave nitroxide spin label electron paramagnetic resonance, the structural and dynamic integrity of bR was retained when compared with data for bR obtained in the native membrane and in detergents and then with crystal data. This indicates the potential of Lipodisq nanoparticles as a useful membrane mimetic.
Long molecules such as fibrous proteins are particularly difficult to characterise structurally. We have recently designed a microvolume Couette flow linear dichroism (LD) cell whose sample volume is only 20-40 microL in contrast to previous cells where the volume of sample required has typically been of the order of 1000-2000 microL. This brings the sample requirements of LD to a level where it can be used for biological samples. Since LD is the difference in absorption of light polarised parallel to an orientation direction and perpendicular to that direction, it is the ideal technique for determining relative orientations of subunits of e.g. fibrous proteins, DNA-drug systems, etc. For solution phase samples, Couette flow orientation, whereby the sample is sandwiched between two cylinders, one of which rotates, has proved to be the optimal technique for LD experiments in many laboratories. Our capillary microvolume LD cell has been designed using extruded quartz rods and capillaries and focusing and collecting lenses. We have developed applications with PCR products, fibrous proteins, liposome-bound membrane proteins, as well as DNA-dye systems. Despite this range of applications, to date there is nothing reported in the literature to enable one to validate the performance of Couette flow LD cells. In this paper we establish validation criteria and show that the data from the microvolume cells are reproducible, vary by less than 1% with sample reloading, follow the Beer-Lambert law, and have signals linear in voltage over a wide voltage range. The microvolume cell data are consistent with those from the large-volume cells for DNA samples. Surprisingly, upon extending the wavelength range by adding the intercalator ethidium bromide, the spectra in the microvolume and large-volume cells differ by a wavelength dependent orientation parameter. This wavelength variation was concluded to be the result of Taylor-vortices in the large-volume cells which have inner rotating cylinders in our laboratory. Thus the microvolume LD cells can be concluded to provide better data than our large-volume LD cells, though the latter are still to be preferred for titration series as it is extremely difficult to add sample to the capillary cells without introducing artefacts.
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