The reliability of in vivo structure-function analysis of tRNA aminoacylation.

The G.U wobble base-pair in the acceptor helix of Escherichia coli tRNAAlais critical for aminoacylation by the alanine synthetase. Previous work by several groups probed the mechanism of enzyme recognition of G.U by a structure-function analysis of mutant tRNAs using either a cell assay (amber suppressor tRNA) or a test tube assay (phage T7 tRNA substrate and purified enzyme). However, the aminoacylation capacity of particular mutant tRNAs was about 10(4)-fold higher in the cell assay. This led us to scrutinize the cell assay to determine if any parameter exaggerates the extent of aminoacylation in mutants forming substantial amounts of alanyl-tRNAAla. In doing so, we have refined and developed experimental designs to analyze tRNA function. We examined the level of aminoacylation of amber suppressor tRNAAlawith respect to the method of isolating aminoacyl-tRNA, the rate of cell growth, the cellular levels of alanine synthetase and elongation factor TU (EF-Tu), the amount of tRNA and the characteristics of EF-Tu binding. Within the precision of our measurements, none of these parameters varied in a way that could significantly amplify cellular alanyl-tRNAAla. A key observation is that the extent of aminoacylation of tRNAAlawas independent of tRNAAlaconcentration over a 75-fold range. Therefore, the cellular assay of tRNAAlareflects the substrate quality of the molecule for formation of alanyl-tRNAAla. These experiments support the authenticity of the cellular assay and imply that a condition or factor present in the cell assay may be absent in the test tube assay.     

Growth rate and rupture rate of unruptured intracranial aneurysms: a population approach

Background  

Understanding aneurysm growth rate allows us to predict not only the current rupture risk, but also accumulated rupture risk in the future. However, determining growth rate of unruptured intracranial aneurysms often requires follow-up of patients for a long period of time so that significant growth can be observed and measured. We investigate a relationship between growth rate and rupture rate and develop a theoretical model that can predict average behavior of unruptured intracranial aneurysms based on existing clinical data.