Automated analysis of three-dimensional stress echocardiography

Real-time three-dimensional (3D) ultrasound imaging has been proposed as an alternative for two-dimensional stress echocardiography for assessing myocardial dysfunction and underlying coronary artery disease. Analysis of 3D stress echocardiography is no simple task and requires considerable expertise. In this paper, we propose methods for automated analysis, which may provide a more objective and accurate diagnosis. Expert knowledge is incorporated via statistical modelling of patient data. Methods for identifying anatomical views, detecting endocardial borders, and classification of wall motion are described and shown to provide favourable results. We also present software developed especially for analysis of 3D stress echocardiography in clinical practice. Interobserver agreement in wall motion scoring is better using the dedicated software (96%) than commercially available software not dedicated for this purpose (79%). The developed tools may provide useful quantitative and objective parameters to assist the clinical expert in the diagnosis of left ventricular function.     

In Vivo Quantification Reveals Extensive Natural Variation in Mitochondrial Form and Function in Caenorhabditis briggsae

We have analyzed natural variation in mitochondrial form and function among a set of Caenorhabditis briggsae isolates known to harbor mitochondrial DNA structural variation in the form of a heteroplasmic nad5 gene deletion (nad5Δ) that correlates negatively with organismal fitness. We performed in vivo quantification of 24 mitochondrial phenotypes including reactive oxygen species level, membrane potential, and aspects of organelle morphology, and observed significant among-isolate variation in 18 traits. Although several mitochondrial phenotypes were non-linearly associated with nad5Δ levels, most of the among-isolate phenotypic variation could be accounted for by phylogeographic clade membership. In particular, isolate-specific mitochondrial membrane potential was an excellent predictor of clade membership. We interpret this result in light of recent evidence for local adaptation to temperature in C. briggsae. Analysis of mitochondrial-nuclear hybrid strains provided support for both mtDNA and nuclear genetic variation as drivers of natural mitochondrial phenotype variation. This study demonstrates that multicellular eukaryotic species are capable of extensive natural variation in organellar phenotypes and highlights the potential of integrating evolutionary and cell biology perspectives.     

Modified Long Wavelength Approximation for the Optical Response of a Graded-Index Plasmonic Nanoparticle

The optical response of graded-index spherical metallic nanoparticles is studied in the modified long wavelength approximation with electrodynamic effects accounted for to the lowest order of the inverse of the wavelength. An effective-medium approach is adopted which leads to the conclusion that the first-order dynamical effects will enter mainly via the polarizability and not the effective dielectric function of the system. Numerical studies using various graded Drude functions show that these effects are not only significant for particles of large sizes but can also be appreciable for smaller particles with varying index profile.     

PAX6 haplotypes are associated with high myopia in Han chinese

Background

The paired box 6 (PAX6) gene is considered as a master gene for eye development. Linkage of myopia to the PAX6 region on chromosome 11p13 was shown in several studies, but the results for association between myopia and PAX6 were inconsistent so far.

Methodology/Principal Findings

We genotyped 16 single nucleotide polymorphisms (SNPs) in the PAX6 gene and its regulatory regions in an initial study for 300 high myopia cases and 300 controls (Group 1), and successfully replicated the positive results with another independent group of 299 high myopia cases and 299 controls (Group 2). Five SNPs were genotyped in the replication study. The spherical equivalent of subjects with high myopia was ≤−8.0 dioptres. The PLINK package was used for genetic data analysis. No association was found between each of the SNPs and high myopia. However, exhaustive sliding-window haplotype analysis highlighted an important role for rs12421026 because haplotypes containing this SNP were found to be associated with high myopia. The most significant results were given by the 4-SNP haplotype window consisting of rs2071754, rs3026393, rs1506 and rs12421026 (P = 3.54×10⁻¹⁰, 4.06×10⁻¹¹ and 1.56×10⁻¹⁸ for Group 1, Group 2 and Combined Group, respectively) and the 3-SNP haplotype window composed of rs3026393, rs1506 and rs12421026 (P = 5.48×10⁻¹⁰, 7.93×10⁻¹² and 6.28×10⁻²³ for the three respective groups). The results remained significant after correction for multiple comparisons by permutations. The associated haplotyes found in a previous study were also successfully replicated in this study.

Conclusions/Significance

PAX6 haplotypes are associated with susceptibility to the development of high myopia in Chinese. The PAX6 locus plays a role in high myopia.     

The role of carbohydrate moieties of cholecystokinin receptors in cholecystokinin octapeptide binding: alteration of binding data by specific lectins

Cholecystokinin (CCK) receptors on rat pancreatic acini have been demonstrated to be glycoproteins. In order to study whether their carbohydrate moieties play a role in ligand binding, membrane preparations (adjusted to 0.2 mg protein me) were incubated with 20 pM 125-I-CCK octapeptide (125I-CCK8) for 4 h at 30 degrees C in the presence of lectins with different sugar specificities. Concanavalin A, soy-bean agglutinin, and peanut agglutinin in concentrations up to 1 mM did not alter specific 125I-CCK8 binding. Ulex europeus lectin I showed a dose-dependent enhancement of CCK binding up to 150% of controls at a concentration of 1 mM. Wheat-germ agglutinin (WGA) was the only lectin found to have an inhibitory effect. Inhibition was dose-dependent, with maximal reduction attained at 42 nM, but CCK binding was only partially inhibited to 66.2 +/- 4.4%. Inhibition by WGA was prevented by the presence of N-acetyl-D-glucosamine or N,N',N"-triacetylchitotriose, sugars that are specific for WGA. The inhibitory effect of WGA was not due to an increase in non-specific binding, increased CCK degradation, or CCK binding to WGA. Binding data indicated that the presence of WGA resulted in a decrease in receptor affinity (Kd = 567 +/- 191 v. 299 +/- 50 pM). No significant change in the number of available binding sites was observed. This suggests that WGA is not binding to the active binding site. It is conceivable that binding of WGA to N-acetyl-D-glucosamine or its polymers can lead to a conformational change in the receptor protein, and that this carbohydrate moiety is essential for optimal receptor-ligand interaction.     

Correction to: Managing biological invasions: the cost of inaction

Biological Invasions -     

RhoA-Binding Kinase α Translocation Is Facilitated by the Collapse of the Vimentin Intermediate Filament Network

The regulation of morphological changes in eukaryotic cells is a complex process involving major components of the cytoskeleton including actin microfilaments, microtubules, and intermediate filaments (IFs). The putative effector of RhoA, RhoA-binding kinase α (ROKα), is a serine/threonine kinase that has been implicated in the reorganization of actin filaments and in myosin contractility. Here, we show that ROKα also directly affects the structural integrity of IFs. Overexpression of active ROKα, like that of RhoA, caused the collapse of filamentous vimentin, a type III IF. A RhoA-binding-deficient, kinase-inactive ROKα inhibited the collapse of vimentin IFs induced by RhoA in HeLa cells. In vitro, ROKα bound and phosphorylated vimentin at its head-rod domain, thereby inhibiting the assembly of vimentin. ROKα colocalized predominantly with the filamentous vimentin network, which remained intact in serum-starved cells. Treatment of cells with vinblastine, a microtubule-disrupting agent, also resulted in filamentous vimentin collapse and concomitant ROKα translocation to the cell periphery. ROKα translocation did not occur when the vimentin network remained intact in vinblastine-treated cells at 4°C or in the presence of the dominant-negative RhoAN19 mutant. Transient translocation of ROKα was also observed in cells subjected to heat shock, which caused the disassembly of the vimentin network. Thus, the translocation of ROKα to the cell periphery upon overexpression of RhoAV14 or growth factor treatment is associated with disassembly of vimentin IFs. These results indicate that Rho effectors known to act on microfilaments may be involved in regulating the assembly of IFs. Vimentin when phosphorylated also exhibits reduced affinity for the inactive ROKα. The translocation of ROKα from IFs to the cell periphery upon action by activated RhoA and ROKα suggests that ROKα may initiate its own cascade of activation.     

Membrane localization of adenomatous polyposis coli protein at cellular protrusions: targeting sequences and regulation by beta-catenin

Adenomatous polyposis coli protein (APC) translocates to, and stabilizes, the plus-ends of microtubules. In microtubule-dependent cellular protrusions, APC frequently accumulates in peripheral clusters at the basal membrane. APC targeting to membrane clusters is important for cell migration, but the localization mechanism is poorly understood. In this study, we performed deletion mapping and defined a minimal sequence (amino acids 1-2226) that efficiently targets APC to membrane clusters. This sequence lacks DLG-1 and EB1 binding sites, suggesting that these partners are not absolutely required for APC membrane targeting. A series of APC sequences were transiently expressed in cells and compared for their ability to compete endogenous APC at the membrane; potent inhibition of endogenous APC targeting was elicited by the Armadillo- (binds KAP3A, B56alpha, and ASEF) and beta-catenin-binding domains. The Armadillo domain was predicted to inhibit APC membrane localization through sequestration of the kinesin-KAP3A complex. The role of beta-catenin in APC membrane localization was unexpected but affirmed by overexpressing the APC binding sequence of beta-catenin, which similarly reduced APC membrane staining. Furthermore, we used RNA interference to show that loss of beta-catenin reduced APC at membrane clusters in migrating cells. In addition, we report that transiently expressed APC-yellow fluorescent protein co-localized with beta-catenin, KAP3A, EB1, and DLG-1 at membrane clusters, but only beta-catenin stimulated APC anchorage at the membrane. Our findings identify beta-catenin as a regulator of APC targeting to membrane clusters and link these two proteins to cell migration.     

Using Manifold Learning for Atlas Selection in Multi-Atlas Segmentation

Multi-atlas segmentation has been widely used to segment various anatomical structures. The success of this technique partly relies on the selection of atlases that are best mapped to a new target image after registration. Recently, manifold learning has been proposed as a method for atlas selection. Each manifold learning technique seeks to optimize a unique objective function. Therefore, different techniques produce different embeddings even when applied to the same data set. Previous studies used a single technique in their method and gave no reason for the choice of the manifold learning technique employed nor the theoretical grounds for the choice of the manifold parameters. In this study, we compare side-by-side the results given by 3 manifold learning techniques (Isomap, Laplacian Eigenmaps and Locally Linear Embedding) on the same data set. We assess the ability of those 3 different techniques to select the best atlases to combine in the framework of multi-atlas segmentation. First, a leave-one-out experiment is used to optimize our method on a set of 110 manually segmented atlases of hippocampi and find the manifold learning technique and associated manifold parameters that give the best segmentation accuracy. Then, the optimal parameters are used to automatically segment 30 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). For our dataset, the selection of atlases with Locally Linear Embedding gives the best results. Our findings show that selection of atlases with manifold learning leads to segmentation accuracy close to or significantly higher than the state-of-the-art method and that accuracy can be increased by fine tuning the manifold learning process.