A Structural and Mechanistic Study of Two Members of Cupin Family Protein

is a functionally diverse large group of proteins sharing a jelly roll β-barrel fold. An enzymatic member 3-hydroxyanthranilate-3,4-dioxygenase (HAO) and a non-enzymatic member pirin, which is a human nuclear metalloprotein of unknown function present in all human tissues, were selected for structural and functional studies in this dissertation work. HAO is an important enzyme for tryptophan catabolism and for 2-nitrobenzoic acid biodegradation. In this work, seven catalytic intermediate were captured in HAO single crystals, enabling for the first time a nearly complete structural snapshot viewing of the entire molecular oxygen activation and insertion mechanism in an iron- and O2-depedent enzyme. The rapid catalytic turnover rate was found achieved in large part by protein dynamics that facilitates O2 binding to the catalytic iron, which is bound to the enzyme by a facile 2-His-1-carboxylate ligand motif. An iron storage and chaperon mechanism was also discovered in the bacterial source of this enzyme, which led to a proposed novel biological function of a mononuclear iron-sulfur center. Although human pirin protein shares the same structural fold with HAO, its iron ion is coordinated by a 3-His-1-carboxylate ligand motif. Pirin belongs to a subset of proteins whose members are playing regulatory functions in the superfamily. In this work, pirin is shown to act as a redox sensor for the NF-κB transcription factor, a critical mediator of intracellular signaling that has been linked to cellular responses to pro-inflammatory signals which controls the expression of a vast array of genes involved in immune and stress responses

Simulated single molecule microscopy with SMeagol

SMeagol is a software tool to simulate highly realistic microscopy data based on spatial systems biology models, in order to facilitate development, validation, and optimization of advanced analysis methods for live cell single molecule microscopy data. Availability and Implementation: SMeagol runs on Matlab R2014 and later, and uses compiled binaries in C for reaction-diffusion simulations. Documentation, source code, and binaries for recent versions of Mac OS, Windows, and Ubuntu Linux can be downloaded from http://smeagol.sourceforge.net.Comment: v2: 14 pages including supplementary text. Pre-copyedited, author-produced version of an application note published in Bioinformatics following peer review. The version of record, and additional supplementary material is available online at: https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btw10

Are There Two Potassium/Argon (K/Ar) Dating Systems?

In textbooks, lectures, and in the mass media, radiometric dates are presented as though they are firmly established scientific procedures not subject to question or debate. Behind the scenes, however, we find quite a different story. As just one example, Skull 1470 has been K/Ar-dated to death, and the effort has been abandoned to use K/Ar to establish its age

Noise-Induced Min Phenotypes in E. coli

The spatiotemporal oscillations of the Escherichia coli proteins MinD and MinE direct cell division to the region between the chromosomes. Several quantitative models of the Min system have been suggested before, but no one of them accounts for the behavior of all documented mutant phenotypes. We analyzed the stochastic reaction-diffusion kinetics of the Min proteins for several E. coli mutants and compared the results to the corresponding deterministic mean-field description. We found that wild-type (wt) and filamentous (ftsZ( −)) cells are well characterized by the mean-field model, but that a stochastic model is necessary to account for several of the characteristics of the spherical (rodA(−)) and phospathedylethanolamide-deficient (PE(−)) phenotypes. For spherical cells, the mean-field model is bistable, and the system can get trapped in a non-oscillatory state. However, when the intrinsic noise is considered, only the experimentally observed oscillatory behavior remains. The stochastic model also reproduces the change in oscillation directions observed in the spherical phenotype and the occasional gliding of the MinD region along the inner membrane. For the PE(−) mutant, the stochastic model explains the appearance of randomly localized and dense MinD clusters as a nucleation phenomenon, in which the stochastic kinetics at low copy number causes local discharges of the high MinD(ATP) to MinD(ADP) potential. We find that a simple five-reaction model of the Min system can explain all documented Min phenotypes, if stochastic kinetics and three-dimensional diffusion are accounted for. Our results emphasize that local copy number fluctuation may result in phenotypic differences although the total number of molecules of the relevant species is high

Can recombinant growth hormone effectively treat idiopathic short stature?

Yes--treatment can increase a child's final height. Injections of recombinant human growth hormone (rGH) at least 3 times a week for 4 to 6 years add 3.7 to 7.5 cm to final height in children between 8 and 16 years of age with idiopathic short stature (strength of recommendation [SOR]: B, 2 small,low-quality, randomized controlled trials [RCTs]). This population comprises children who are otherwise physically and developmentally normal with a height standard deviation score (SDS) of ≤−2.0--comparable to the bottom 2.5% percentile of height--and an adequate response to growth hormone stimulation testing

Thermodynamic Modeling of Variations in the Rate of RNA Chain Elongation of E. coli rrn Operons

AbstractPrevious electron-microscopic imaging has shown high RNA polymerase occupation densities in the 16S and 23S encoding regions and low occupation densities in the noncoding leader, spacer, and trailer regions of the rRNA (rrn) operons in E. coli. This indicates slower transcript elongation within the coding regions and faster elongation within the noncoding regions of the operon. Inactivation of four of the seven rrn operons increases the transcript initiation frequency at the promoters of the three intact operons and reduces the time for RNA polymerase to traverse the operon. We have used the DNA sequence-dependent standard free energy variation of the transcription complex to model the experimentally observed changes in the elongation rate along the rrnB operon. We also model the stimulation of the average transcription rate over the whole operon by increasing rate of transcript initiation. Monte Carlo simulations, taking into account initiation of transcription, translocation, and backward and forward tracking of RNA polymerase, partially reproduce the observed transcript elongation rate variations along the rrn operon and fully account for the increased average rate in response to increased frequency of transcript initiation

Efficient kinetic Monte Carlo method for reaction-diffusion processes with spatially varying annihilation rates

We present an efficient Monte Carlo method to simulate reaction-diffusion processes with spatially varying particle annihilation or transformation rates as it occurs for instance in the context of motor-driven intracellular transport. Like Green's function reaction dynamics and first-passage time methods, our algorithm avoids small diffusive hops by propagating sufficiently distant particles in large hops to the boundaries of protective domains. Since for spatially varying annihilation or transformation rates the single particle diffusion propagator is not known analytically, we present an algorithm that generates efficiently either particle displacements or annihilations with the correct statistics, as we prove rigorously. The numerical efficiency of the algorithm is demonstrated with an illustrative example.Comment: 13 pages, 5 figure