Modeling large regions in proteins: applications to loops, termini, and folding

Template-based methods for predicting protein structure provide models for a significant portion of the protein but often contain insertions or chain ends (InsEnds) of indeterminate conformation. The local structure prediction "problem" entails modeling the InsEnds onto the rest of the protein. A well-known limit involves predicting loops of ≤12 residues in crystal structures. However, InsEnds may contain as many as ~50 amino acids, and the template-based model of the protein itself may be imperfect. To address these challenges, we present a free modeling method for predicting the local structure of loops and large InsEnds in both crystal structures and template-based models. The approach uses single amino acid torsional angle "pivot" moves of the protein backbone with a C(β) level representation. Nevertheless, our accuracy for loops is comparable to existing methods. We also apply a more stringent test, the blind structure prediction and refinement categories of the CASP9 tournament, where we improve the quality of several homology based models by modeling InsEnds as long as 45 amino acids, sizes generally inaccessible to existing loop prediction methods. Our approach ranks as one of the best in the CASP9 refinement category that involves improving template-based models so that they can function as molecular replacement models to solve the phase problem for crystallographic structure determination.     

DEM Numerical Simulation of Abrasive Wear Characteristics of a Bioinspired Ridged Surface

<正> This paper presents numerical investigations into a ridged surface whose design is inspired by the geometry of a Farrer'sscallop.The objective of the performed research is to assess if the proposed Bioinspired Ridged Surface (BRS) can potentiallyimprove wear resistance of soil-engaging components used in agricultural machinery and to validate numerical simulationsperformed using software based on the Discrete Element Method (DEM).The wear performance of the BRS is experimentallydetermined and also compared with a conventional flat surface.Different size of soil particles and relative velocities between theabrasive sand and the testing surfaces are used.Comparative results show that the numerical simulations are in agreement withthe experimental results and support the hypothesis that abrasive wear is greatly reduced by substituting a conventional flatsurface with the BRS.     

A haplotype-based test of association using data from cohort and nested case-control epidemiologic studies

Haplotype-based risk models can lead to powerful methods for detecting the association of a disease with a genomic region of interest. In population-based studies of unrelated individuals, however, the haplotype status of some subjects may not be discernible without ambiguity from available locus-specific genotype data. A score test for detecting haplotype-based association using genotype data has been developed in the context of generalized linear models for analysis of data from cross-sectional and retrospective studies. In this article, we develop a test for association using genotype data from cohort and nested case-control studies where subjects are prospectively followed until disease incidence or censoring (end of follow-up) occurs. Assuming a proportional hazard model for the haplotype effects, we derive an induced hazard function of the disease given the genotype data, and hence propose a test statistic based on the associated partial likelihood. The proposed test procedure can account for differential follow-up of subjects, can adjust for possibly time-dependent environmental co-factors and can make efficient use of valuable age-at-onset information that is available on cases. We provide an algorithm for computing the test statistic using readily available statistical software. Utilizing simulated data in the context of two genomic regions GPX1 and GPX3, we evaluate the validity of the proposed test for small sample sizes and study its power in the presence and absence of missing genotype data.     

Plastid KEA-type cation/H+ antiporters are required for vacuolar protein trafficking in Arabidopsis

Arabidopsis plastid antiporters KEA1 and KEA2 are critical for plastid development, photosynthetic efficiency, and plant development. Here, we show that KEA1 and KEA2 are involved in vacuolar protein trafficking. Genetic analyses found that the kea1 kea2 mutants had short siliques, small seeds, and short seedlings. Molecular and biochemical assays showed that seed storage proteins were missorted out of the cell and the precursor proteins were accumulated in kea1 kea2. Protein storage vacuoles (PSVs) were smaller in kea1 kea2. Further analyses showed that endosomal trafficking in kea1 kea2 was compromised. Vacuolar sorting receptor 1 (VSR1) subcellular localizations, VSR–cargo interactions, and p24 distribution on the endoplasmic reticulum (ER) and Golgi apparatus were affected in kea1 kea2. Moreover, plastid stromule growth was reduced and plastid association with the endomembrane compartments was disrupted in kea1 kea2. Stromule growth was regulated by the cellular pH and K⁺ homeostasis maintained by KEA1 and KEA2. The organellar pH along the trafficking pathway was altered in kea1 kea2. Overall, KEA1 and KEA2 regulate vacuolar trafficking by controlling the function of plastid stromules via adjusting pH and K⁺ homeostasis.     

Interleukin-13 sensitivity and receptor phenotypes of human glial cell lines: non-neoplastic glia and low-grade astrocytoma differ from malignant glioma

Many of the actions and receptor components of interleukin-13 (IL-13), a pleiotrophic cytokine with immunotherapeutic potential, are shared with IL-4. Because human low-grade astrocytoma cells express IL-4 receptors and their growth is arrested by IL-4, we speculated that IL-13 sensitivity and receptor expression might also be present. The purpose of the current study was to investigate IL-13 receptor components and sensitivity in a series of glial cell lines derived from adult human non-neoplastic cerebral cortex, low-grade astrocytoma, anaplastic astrocytoma, and glioblastoma multiforme. Unlike peripheral blood lymphocytes (PBL), glial cells did not express IL-2 receptor γ chain. IL-13 receptor α-1 (IL-13Rα1), however, was present in 11/13 glial lines and PBL. Deficient cell lines were all glioblastoma-derived. All anaplastic astrocytoma and glioblastoma but not other glial lines or PBL expressed IL-13 receptor α-2 (IL-13Rα2). In non-neoplastic glia, low-grade, and anaplastic astrocytoma, IL-13 decreased DNA synthesis, an effect reversible with antibody to IL-4Rα. Results indicate that low-grade astrocytoma cells resemble non-neoplastic glia in terms of IL-13 sensitivity and IL-4Rα/IL-13Rα1 receptor profile but alterations occur with malignant progression. Glioblastoma cells were uniformly insensitive to IL-13 and, unlike other glia, failed to phosphorylate STAT6 after IL-13 challenge. Data suggest that IL-13 and analysis of IL-13 receptors may have clinical application in glial tumors. Received: 23 December 1999 / Accepted: 24 February 2000     

象山港网箱养殖区与非养殖区的细菌群落分布

近海集约化养殖是导致我国近海污染的主要来源之一。浮游细菌在近海生态系统的物质循环过程中发挥重要作用,研究海洋浮游细菌群落对养殖活动的响应,对于指示和评价海水养殖生态系统健康具有重要意义。采集了象山港网箱养殖区与非养殖区3个深度,包括表层(0.5 m)、中层(2.5 m)、底层(8.0 m)的水样,利用焦磷酸测序技术测定16S rRNA基因,研究浮游细菌的群落结构和多样性。结果表明:网箱养殖活动不仅使得附近区域水体理化性质发生改变,如化学需氧量浓度显著高于非养殖区域,而且显著地(P0.05)改变了浮游细菌的群落结构,但不同深度间群落结构和多样性的差异不显著。网箱养殖区和非养殖区中主要浮游细菌类群为α-变形菌(Alphaproteobacteria)、γ-变形菌(Gammaproteobacteria)、拟杆菌(Bacteroidetes)、放线菌(Actinobacteria)、β-变形菌(Betaproteobacteria)、ε-变形菌(Epsilonproteobacteria)和其它变形菌(Unclassified Proteobacteria),占细菌总序列数的98.64%。有些细菌类群的平均相对丰度从网箱区到非养殖区差异显著,如拟杆菌(P0.01)和放线菌(P0.05)显著降低,而γ-变形菌(P0.05)显著增加。相似度分析表明γ-变形菌、α-变形菌和拟杆菌是造成网箱区和非养殖区群落差异的主要类群,对群落差异总贡献率达到45.02%。偏冗余分析表明,影响细菌群落分布的主要环境因子有化学需氧量、磷酸盐、铵盐和总有机碳,共解释38.18%的群落变异,空间距离单独解释10.66%的群落变异。实验结果表明,养殖活动导致浮游细菌群落的改变,其中拟杆菌、放线菌和γ-变形菌的丰度显著变化,可能用于评价养殖水体的水质状况。     

An Integrative Computational Approach for Prioritization of Genomic Variants

An essential step in the discovery of molecular mechanisms contributing to disease phenotypes and efficient experimental planning is the development of weighted hypotheses that estimate the functional effects of sequence variants discovered by high-throughput genomics. With the increasing specialization of the bioinformatics resources, creating analytical workflows that seamlessly integrate data and bioinformatics tools developed by multiple groups becomes inevitable. Here we present a case study of a use of the distributed analytical environment integrating four complementary specialized resources, namely the Lynx platform, VISTA RViewer, the Developmental Brain Disorders Database (DBDB), and the RaptorX server, for the identification of high-confidence candidate genes contributing to pathogenesis of spina bifida. The analysis resulted in prediction and validation of deleterious mutations in the SLC19A placental transporter in mothers of the affected children that causes narrowing of the outlet channel and therefore leads to the reduced folate permeation rate. The described approach also enabled correct identification of several genes, previously shown to contribute to pathogenesis of spina bifida, and suggestion of additional genes for experimental validations. The study demonstrates that the seamless integration of bioinformatics resources enables fast and efficient prioritization and characterization of genomic factors and molecular networks contributing to the phenotypes of interest.     

Novel Mechanism of Regulation of Protein 4.1G Binding Properties Through Ca2+/Calmodulin-Mediated Structural Changes

Protein 4.1G (4.1G) is a widely expressed member of the protein 4.1 family of membrane skeletal proteins. We have previously reported that Ca²⁺-saturated calmodulin (Ca²⁺/CaM) modulates 4.1G interactions with transmembrane and membrane-associated proteins through binding to Four.one-ezrin–radixin–moesin (4.1G FERM) domain and N-terminal headpiece region (GHP). Here we identify a novel mechanism of Ca²⁺/CaM-mediated regulation of 4.1G interactions using a combination of small-angle X-ray scattering, nuclear magnetic resonance spectroscopy, and circular dichroism spectroscopy analyses. We document that GHP intrinsically disordered coiled structure switches to a stable compact structure upon binding of Ca²⁺/CaM. This dramatic conformational change of GHP inhibits in turn 4.1G FERM domain interactions due to steric hindrance. Based upon sequence homologies with the Ca²⁺/CaM-binding motif in protein 4.1R headpiece region, we establish that the 4.1G S⁷¹RGISRFIPPWLKKQKS peptide (pepG) mediates Ca²⁺/CaM binding. As observed for GHP, the random coiled structure of pepG changes to a relaxed globular shape upon complex formation with Ca²⁺/CaM. The resilient coiled structure of pepG, maintained even in the presence of trifluoroethanol, singles it out from any previously published CaM-binding peptide. Taken together, these results show that Ca²⁺/CaM binding to GHP, and more specifically to pepG, has profound effects on other functional domains of 4.1G.