The contribution of Notch1 to nephron segmentation in the developing kidney is revealed in a sensitized Notch2 background and can be augmented by reducing Mint dosage

We previously determined that Notch2, and not Notch1, was required for forming proximal nephron segments. The dominance of Notch2 may be conserved in humans, since Notch2 mutations occur in Alagille syndrome (ALGS) 2 patients, which includes renal complications. To test whether mutations in Notch1 could increase the severity of renal complications in ALGS, we inactivated conditional Notch1 and Notch2 alleles in mice using a Six2-GFP::Cre. This BAC transgene is expressed mosaically in renal epithelial progenitors but uniformly in cells exiting the progenitor pool to undergo mesenchymal-to-epithelial transition. Although delaying Notch2 inactivation had a marginal effect on nephron numbers, it created a sensitized background in which the inactivation of Notch1 severely compromised nephron formation, function, and survival. These and additional observations indicate that Notch1 in concert with Notch2 contributes to the morphogenesis of renal vesicles into S-shaped bodies in a RBP-J-dependent manner. A significant implication is that elevating Notch1 activity could improve renal functions in ALGS2 patients. As proof of principle, we determined that conditional inactivation of Mint, an inhibitor of Notch-RBP-J interaction, resulted in a moderate rescue of Notch2 null kidneys, implying that temporal blockage of Notch signaling inhibitors downstream of receptor activation may have therapeutic benefits for ALGS patients.     

Expressions of the Michaelis–Menten equation when studying enzyme reactions in a variable-volume medium (Short Communication)

Expressions of integrated rate equations for enzyme reactions studied in a system where the volume of the medium changes, e.g. with a pH-stat device, are given.     

Muscular contraction and cytoplasmic streaming: A new general hypothesis

Several experiments point out that some crossbridges remain attached to the thin filaments at rest. It is assumed, in this paper, that these cross-bridges exert mechanical tractions on the thin filaments, directed from the thin to the thick filaments. When contraction is triggered off, a conformational change of the attached crossbridges is induced by the chemical energy released from ATP splitting. This conformational change leads to the reduction of the mechanical tensions. The electrostatic repulsive forces between the filaments become therefore automatically preponderant. This phenomenon induces a sideways expansion of the filament lattice and, taking into account the elasticity of muscle, a contraction in the direction of the filaments. This model accounts for the most important physiological and thermodynamical properties of muscle (tension-length curves, responses to quick stretch and quick release, Fenn effect, Hill's relation, behaviour of skinned fibres). It is directly applicable to all kinds of muscles and to cytoplasmic streaming, provided only actin, but not necessarily myosin, filaments are present in the cell.     

Tissue development and RNA control: "HOW" is it coordinated?

The regulation of developmental processes at the RNA level enables selective and rapid modulation of gene expression. Studies in model organisms revealed the essential contribution of the signal transduction and activation of RNA (STAR) family of RNA binding proteins to developmental processes. STAR proteins coordinate the proper timing of developmental events by delaying expression or altering the mRNA or protein levels of essential genes. Recent functional analysis of the Drosophila melanogaster STAR protein, Held Out Wing (HOW), in the context of embryonic development, provided insight into its mode of activity. Here, we describe HOW's activity in the temporal repression or elevation of gene expression that is essential for coordinating the correct timing of instructive signals.     

Diversity and abundance of glycosyl hydrolase family 5 in the North Atlantic Ocean

The diversity and abundance of glycosyl hydrolase family 5 (GH5) were studied in the North Atlantic Ocean. This family was chosen because of the large number of available sequences from cultured bacteria, the variety of substrates it targets, and the high number of similar sequences in the Sargasso Sea environmental genome database. Three clone libraries of a GH5 subcluster were constructed from the Mid-Atlantic Bight and the eastern and western North Atlantic Ocean. The two North Atlantic Ocean libraries did not differ from each other but both were significantly less diverse than the Mid-Atlantic Bight library. The abundance of GH5 genes estimated by quantitative PCR was positively correlated with chlorophyll concentrations in the eastern part of a transect from Fort Pierce, Florida, to the Azores and in a depth profile, suggesting that the supply of labile organic material selects for GH5-bearing bacteria in these waters. However, the data suggest that only <1% of all bacteria harbor the GH5 subcluster. These and other data suggest that the hydrolysis of polysaccharides requires complicated multi-enzyme systems.     

Cell-autonomous and non-cell-autonomous functions of caspase-8

Cells in vivo do not act in isolation. Therefore, when attempting to predict the results of pharmaceutical modulation of the function of a protein, we must also take into account the non-cell-autonomous consequences of such modulation. Studies of caspase-8 initially indicated that it serves as the proximal enzyme in cellular self-destruction dictated through the extrinsic cell-death pathway. Later studies revealed that it also participates in mechanisms affecting cell growth and survival. This essay presents a brief account of a study indicating that, apart from functional changes that are cell autonomous, tissue-specific deletion of caspase-8 in mice also has non-cell-autonomous effects with consequences that might even be the opposite of the cell-autonomous ones.     

The FtsZ-Like Protein FtsZm of Magnetospirillum gryphiswaldense Likely Interacts with Its Generic Homolog and Is Required for Biomineralization under Nitrate Deprivation

Midcell selection, septum formation, and cytokinesis in most bacteria are orchestrated by the eukaryotic tubulin homolog FtsZ. The alphaproteobacterium Magnetospirillum gryphiswaldense (MSR-1) septates asymmetrically, and cytokinesis is linked to splitting and segregation of an intracellular chain of membrane-enveloped magnetite crystals (magnetosomes). In addition to a generic, full-length ftsZ gene, MSR-1 contains a truncated ftsZ homolog (ftsZm) which is located adjacent to genes controlling biomineralization and magnetosome chain formation. We analyzed the role of FtsZm in cell division and biomineralization together with the full-length MSR-1 FtsZ protein. Our results indicate that loss of FtsZm has a strong effect on microoxic magnetite biomineralization which, however, could be rescued by the presence of nitrate in the medium. Fluorescence microscopy revealed that FtsZm-mCherry does not colocalize with the magnetosome-related proteins MamC and MamK but is confined to asymmetric spots at midcell and at the cell pole, coinciding with the FtsZ protein position. In Escherichia coli, both FtsZ homologs form distinct structures but colocalize when coexpressed, suggesting an FtsZ-dependent recruitment of FtsZm. In vitro analyses indicate that FtsZm is able to interact with the FtsZ protein. Together, our data suggest that FtsZm shares key features with its full-length homolog but is involved in redox control for magnetite crystallization.     

The Interrelations among Stochastic Pacing,Stability, and Memory in the Heart

Low pacing variabilty in the heart has been clinically reported as a risk factor for lethal cardiac arrhythmias and arrhythmic death. In a previous simulation study, we demonstrated that stochastic pacing sustains an antiarrhythmic effect by moderating the slope of the action potential duration (APD) restitution curve, by reducing the propensity of APD alternans, converting discordant to concordant alternans, and ultimately preventing wavebreaks. However, the dynamic mechanisms relating pacing stochasticity to tissue stability are not yet known. In this work, we develop a mathematical framework to describe the APD signal using an autoregressive stochastic model, and we establish the interrelations between stochastic pacing, cardiac memory, and cardiac stability, as manifested by the degree of APD alternans. Employing stability analysis tools, we show that increased stochasticity in the ventricular tissue activation sequence works to lower the maximal absolute eigenvalues of the stochastic model, thereby contributing to increased stability. We also show that the memory coefficients of the autoregressive model are modulated by pacing stochasticity in a nonlinear, biphasic way, so that for exceedingly high levels of pacing stochasticity, the antiarrhythmic effect is hampered by increasing APD variance. This work may contribute to establishment of an optimal antiarrhythmic pacing protocol in a future study.     

The Interrelations among Stochastic Pacing,Stability, and Memory in the Heart

Low pacing variabilty in the heart has been clinically reported as a risk factor for lethal cardiac arrhythmias and arrhythmic death. In a previous simulation study, we demonstrated that stochastic pacing sustains an antiarrhythmic effect by moderating the slope of the action potential duration (APD) restitution curve, by reducing the propensity of APD alternans, converting discordant to concordant alternans, and ultimately preventing wavebreaks. However, the dynamic mechanisms relating pacing stochasticity to tissue stability are not yet known. In this work, we develop a mathematical framework to describe the APD signal using an autoregressive stochastic model, and we establish the interrelations between stochastic pacing, cardiac memory, and cardiac stability, as manifested by the degree of APD alternans. Employing stability analysis tools, we show that increased stochasticity in the ventricular tissue activation sequence works to lower the maximal absolute eigenvalues of the stochastic model, thereby contributing to increased stability. We also show that the memory coefficients of the autoregressive model are modulated by pacing stochasticity in a nonlinear, biphasic way, so that for exceedingly high levels of pacing stochasticity, the antiarrhythmic effect is hampered by increasing APD variance. This work may contribute to establishment of an optimal antiarrhythmic pacing protocol in a future study.