21 research outputs found

    Shadow Enhancers Foster Robustness of Drosophila Gastrulation

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    SummaryCritical developmental control genes sometimes contain “shadow” enhancers that can be located in remote positions, including the introns of neighboring genes [1]. They nonetheless produce patterns of gene expression that are the same as or similar to those produced by more proximal primary enhancers. It was suggested that shadow enhancers help foster robustness in gene expression in response to environmental or genetic perturbations [2, 3]. We critically tested this hypothesis by employing a combination of bacterial artificial chromosome (BAC) recombineering and quantitative confocal imaging methods [2, 4]. Evidence is presented that the snail gene is regulated by a distal shadow enhancer located within a neighboring locus. Removal of the proximal primary enhancer does not significantly perturb snail function, including the repression of neurogenic genes and formation of the ventral furrow during gastrulation at normal temperatures. However, at elevated temperatures, there is sporadic loss of snail expression and coincident disruptions in gastrulation. Similar defects are observed at normal temperatures upon reductions in the levels of Dorsal, a key activator of snail expression (reviewed in [5]). These results suggest that shadow enhancers represent a novel mechanism of canalization whereby complex developmental processes “bring about one definite end-result regardless of minor variations in conditions” [6]

    Quantum Transition State Theory for proton transfer reactions in enzymes

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    We consider the role of quantum effects in the transfer of hyrogen-like species in enzyme-catalysed reactions. This study is stimulated by claims that the observed magnitude and temperature dependence of kinetic isotope effects imply that quantum tunneling below the energy barrier associated with the transition state significantly enhances the reaction rate in many enzymes. We use a path integral approach which provides a general framework to understand tunneling in a quantum system which interacts with an environment at non-zero temperature. Here the quantum system is the active site of the enzyme and the environment is the surrounding protein and water. Tunneling well below the barrier only occurs for temperatures less than a temperature T0T_0 which is determined by the curvature of potential energy surface near the top of the barrier. We argue that for most enzymes this temperature is less than room temperature. For physically reasonable parameters quantum transition state theory gives a quantitative description of the temperature dependence and magnitude of kinetic isotope effects for two classes of enzymes which have been claimed to exhibit signatures of quantum tunneling. The only quantum effects are those associated with the transition state, both reflection at the barrier top and tunneling just below the barrier. We establish that the friction due to the environment is weak and only slightly modifies the reaction rate. Furthermore, at room temperature and for typical energy barriers environmental degrees of freedom with frequencies much less than 1000 cm1^{-1} do not have a significant effect on quantum corrections to the reaction rate.Comment: Aspects of the article are discussed at condensedconcepts.blogspot.co

    Long-Range Intra-Protein Communication Can Be Transmitted by Correlated Side-Chain Fluctuations Alone

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    Allosteric regulation is a key component of cellular communication, but the way in which information is passed from one site to another within a folded protein is not often clear. While backbone motions have long been considered essential for long-range information conveyance, side-chain motions have rarely been considered. In this work, we demonstrate their potential utility using Monte Carlo sampling of side-chain torsional angles on a fixed backbone to quantify correlations amongst side-chain inter-rotameric motions. Results indicate that long-range correlations of side-chain fluctuations can arise independently from several different types of interactions: steric repulsions, implicit solvent interactions, or hydrogen bonding and salt-bridge interactions. These robust correlations persist across the entire protein (up to 60 Å in the case of calmodulin) and can propagate long-range changes in side-chain variability in response to single residue perturbations

    Mutual information of residue pairs in calmodulin.

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    <p>The mutual information, , associated with side-chain fluctuations of residue pairs in calmodulin. Plots (b)–(f) display the mutual information signal∶noise ratio, (upper left triangles) and the excess mutual information (lower right triangles), as indicated in (a). The - and -axes run over labels, and respectively, of residues in the amino acid sequence, excluding those lacking rotameric freedom in our model. Scale bars for the signal∶noise ratio and the excess mutual information are presented on the top and bottom left, respectively. Results are shown for the following combinations of interactions: (b) repulsive sterics (S), (c) implicit solvent (IS) (d) Lennard-Jones (LJ) interaction comprising repulsive sterics and van der Waals attractions, (e) hydrogen bonding and salt-bridges (HBSB), and (f) the full potential (LJ+HBSB+IS). Residue 30K, which we scrutinize in detail later (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002168#pcbi-1002168-g005" target="_blank">Fig. 5</a>), is highlighted in (f) for reference.</p

    Distance dependence of mutual information in different NMR models of barstar.

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    <p>The average excess mutual information per residue pair is plotted here for various atomic interactions, binned according to the - inter-residue distance, for the crystal structure (1a19 <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002168#pcbi.1002168-Ratnaparkhi1" target="_blank">[47]</a>) and four NMR model structures (1btb <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002168#pcbi.1002168-Lubienski1" target="_blank">[43]</a>) of barstar, using the full LJ+IS+HBSB potential. See <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002168#s4" target="_blank">Methods</a> for details.</p

    Structural representations of extended crystalline calmodulin.

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    <p>The crystal structure (a) and contact map (b) of calcium-bound calmodulin (3cln <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002168#pcbi.1002168-Babu1" target="_blank">[39]</a>). The calcium ions are shown in yellow, and several residues are labeled in both panels for reference. The distance between each pair of atoms is indicated by color (see scale bar) in (b), where - and -axes run over residue labels. The residue labeling corresponds to the full sequence, however residues that do not possess torsional degrees of freedom in our model (A, G, P, and all residues bound to the calcium ions) are excluded from the contact map.</p

    Single-residue perturbations in barstar.

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    <p>Changes in the Gibbs entropy of each residue in barstar (1a19 <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002168#pcbi.1002168-Ratnaparkhi1" target="_blank">[47]</a>) that resulted from perturbations to single side-chains. Residues whose entropy changes by a significant amount, according to Student's t-test at the 90% level, are shown in color. Red indicates increased entropy, blue indicates decreased entropy (see scale bar). Although side-chains are depicted in their crystallographic arrangements for graphical simplicity, note that is a measure of the extent of fluctuations among a wide variety of distinct packings. For the results presented in panel (a), I86 (shown in black and circled) was mutated to G. For those of panel (b) E46 (shown in black and circled) was constrained to its crystallographic configuration.</p
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