Role of Tyrosine Residues in Interactions between Casein Components

It was indicated from ultraviolet difference spectra and ultracentrifugal experiments that associations occurred between two casein components (α_s- and κ-caseins, β- and κ-caseins and α_s- and β-caseins) at lower CaCl₂ concentrations (2~3 mm) and that aromatic amino acid residues participated in the associations. Chemical modification studies with 2-hydroxy-5-nitrobenzylbromide indicated that tryptophane residues of each casein component were not essential for these associations. It was also demonstrated by nitration of tyrosine residues with tetranitromethane that tyrosine residues of κ-casein were essential for α_s·κ-association and for β·κ-association and that tyrosine residues of α_s-casein were important to α_s·β-association.

Interactions between casein components were also studied at higher CaCl₂ concentration (10 mm) which is enough for micelle formation. It was found that tyrosine residues of κ- casein played an important role for the stabilization of α_s- and β-caseins. Properties of the nitrated-β-casein were almost the same as that of the native β-casein except the absorption spectrum. α_s·β-Interaction in the presence of 10 mm CaCl₂ was investigated by use of the nitrated-β-casein instead of the native β-casein. It was proved that α_s-casein was stabilized by the nitrated-β-casein and that precipitation of the nitrated-β-casein increased in the presence of α_s-casein.

The mechanism of interactions between casein components at higher CaCl₂ concentration (10 mm) are discussed in connection with the associations at lower CaCl₂ concentrations (2~3 mm).     

Isolation and Crystallization of Extracellular 3β-Hydroxysteroid Oxidase of Brevibacterium sterolicum nov. sp.

Among about 500 strains tested, a newly isolated soil bacterium, Brevibacterium sterolicum nov. sp. KY 3463 (ATCC 21387) showed the highest potency in production of 3β-hydroxysteroid oxidase in the culture fluid.

The 3β-hydroxysteroid oxidase was purified from the culture filtrate by a procedure involving ammonium sulfate fractionation, DEAE-cellulose and hydroxyapatite column chromatographies and Sephadex G–75 gel filtration. Crystals of the enzyme were obtained from solutions of the purified preparation by the addition of ammonium sulfate. The crystals appeared as fine rods, with a bright yellow color.

The enzyme is homogeneous by disc gel electrophoresis and ultracentrifugation. Sedimentation velocity yields a value of . It exhibits a typical flavoprotein spectrum of absorption maxima at 280, 390, and 470 mμ.     

Kinetic Behaviour of Free Lipase and Mica-Based Immobilized Lipase Catalyzing the Synthesis of Sugar Esters

The utilization of natural mica as a biocatalyst support in kinetic investigations is first described in this study. The formation of lactose caprate from lactose sugar and capric acid, using free lipase (free-CRL) and lipase immobilized on nanoporous mica (NER-CRL) as a biocatalyst, was evaluated through a kinetic study. The apparent kinetic parameters, K _m and V _max, were determined by means of the Michaelis-Menten kinetic model. The Ping-Pong Bi-Bi mechanism with single substrate inhibition was adopted as it best explains the experimental findings. The kinetic results show lower K _m values with NER-CRL than with free-CRL, indicating the higher affinity of NER-CRL towards both substrates at the maximum reaction velocity (V _max,app>V _max). The kinetic parameters deduced from this model were used to simulate reaction rate data which were in close agreement with the experimental values.     

Cryo‐EM model validation using independent map reconstructions

An increasing number of cryo‐electron microscopy (cryo‐EM) density maps are being generated with suitable resolution to trace the protein backbone and guide sidechain placement. Generating and evaluating atomic models based on such maps would be greatly facilitated by independent validation metrics for assessing the fit of the models to the data. We describe such a metric based on the fit of atomic models with independent test maps from single particle reconstructions not used in model refinement. The metric provides a means to determine the proper balance between the fit to the density and model energy and stereochemistry during refinement, and is likely to be useful in determining values of model building and refinement metaparameters quite generally.     

植物间正相互作用对种群动态和群落结构的影响:基于个体模型的研究进展

植物间的相互作用对种群动态和群落结构有着重要的影响。大量的野外实验已经揭示了正相互作用(互利)在群落中的普遍存在及其重要性。为了弥补野外实验方法的不足, 模型方法被越来越多地应用于正相互作用及其生态学效应的研究中。该文基于个体模型研究, 探讨了植物间正相互作用对种群动态和群落结构的影响。介绍了植物间正相互作用的定义和发生机制、植物间相互作用与环境梯度的关系。正相互作用是指发生在相邻的植物个体之间, 至少对其中一个个体有益的相互作用。植物通过直接(生境改善或资源富集)或间接(协同防御等)作用使局部环境有利于邻体而发生正相互作用。胁迫梯度假说认为互利的强度或重要性随着环境胁迫度的增加而增加, 但是越来越多的经验研究认为胁迫梯度假说需要改进。以网格模型和影响域模型为例, 介绍了基于个体的植物间相互作用模型方法。基于个体模型, 对近年来国内外正相互作用对种群时间动态(如生物量-密度关系)、空间分布格局和群落结构(如群落生物量-物种丰富度关系)影响的研究进行了总结。指出未来的研究应集中在对正相互作用概念和机制的理解, 新的模型, 新的种群、群落, 甚至生态系统问题, 以及在全球变化背景下进行相关的研究。     

兔食管静脉曲张模型的建立

目的建立新西兰兔的食管静脉曲张模型,为下一步的临床研究提供可靠的小型动物模型。方法采用门静脉左支完全夹闭法造模,并通过外观、超声、胃镜等检查检验手段对造模结果加以评估。结果术后8周存活动物100%可见食管静脉曲张。结论通过门静脉左支夹闭法,基本可以建立兔食管静脉曲张模型。     

地塞米松抑制卡氏肺孢子菌肺炎β2-防御素和Dectin-1受体的表达

目的研究卡氏肺孢子菌肺炎（Pneumocystis carinii pneumonia,PCP）鼠肺Dectin-1和β2-防御素的表达变化,探讨地塞米松对Deetin-1和B2-防御素的影响与疾病发生的相互关系。方法实验分4组：正常对照组、Pc刺激组、PCP模型组以及PCP模型恢复组。免疫抑制方法建立PCP动物模型,改良四胺银（Groeoti’s methenamine—silver nitrate method,GMS）染色检测Pc包囊;肺组织切片HE染色观察肺组织病理变化;实时荧光定量和Westernblot检测Deetin-1和B2-防御素的mRNA以及蛋白的表达。结果Pc刺激组的Dectin．1和β2-防御素的mRNA以及蛋白的表达明显高于正常对照组（P〈0．05）;Pc刺激组和PCP恢复组的Dectin-1和β2-防御素的mRNA以及蛋白显著高于PCP组（P〈0．05）,而PCP恢复组与PCP组肺部炎症无明显差别。结论对免疫功能正常宿主,Dectin-1受体和p2-防御素可能在防Pc感染中起重要作用;地塞米松抑制了鼠肺Deetin-1和β2-防御素的表达,这可能与PCP疾病的发生和发展有关。     

Mesenchymal stromal-cell transplants induce oligodendrocyte progenitor migration and remyelination in a chronic demyelination model

Demyelinating disorders such as leukodystrophies and multiple sclerosis are neurodegenerative diseases characterized by the progressive loss of myelin that may lead toward a chronic demyelination of the brain''s white matter, impairing normal axonal conduction velocity and ultimately causing neurodegeneration. Current treatments modifying the pathological mechanisms are capable of ameliorating the disease; however, frequently, these therapies are not sufficient to repress the progressive demyelination into a chronic condition and permanent loss of function. To this end, we analyzed the effect that bone marrow-derived mesenchymal stromal cell (BM-MSC) grafts exert in a chronically demyelinated mouse brain. As a result, oligodendrocyte progenitors were recruited surrounding the graft due to the expression of various trophic signals by the grafted MSCs. Although there was no significant reaction in the non-grafted side, in the grafted regions oligodendrocyte progenitors were detected. These progenitors were derived from the nearby tissue as well as from the neurogenic niches, including the subependymal zone and dentate gyrus. Once near the graft site, the cells matured to myelinating oligodendrocytes. Finally, electrophysiological studies demonstrated that axonal conduction velocity was significantly increased in the grafted side of the fimbria. In conclusion, we demonstrate here that in chronic demyelinated white matter, BM-MSC transplantation activates oligodendrocyte progenitors and induces remyelination in the tissue surrounding the stem cell graft.     

Dynamic occupancy models for analyzing species' range dynamics across large geographic scales

Large‐scale biodiversity data are needed to predict species' responses to global change and to address basic questions in macroecology. While such data are increasingly becoming available, their analysis is challenging because of the typically large heterogeneity in spatial sampling intensity and the need to account for observation processes. Two further challenges are accounting for spatial effects that are not explained by covariates, and drawing inference on dynamics at these large spatial scales. We developed dynamic occupancy models to analyze large‐scale atlas data. In addition to occupancy, these models estimate local colonization and persistence probabilities. We accounted for spatial autocorrelation using conditional autoregressive models and autologistic models. We fitted the models to detection/nondetection data collected on a quarter‐degree grid across southern Africa during two atlas projects, using the hadeda ibis (Bostrychia hagedash) as an example. The model accurately reproduced the range expansion between the first (SABAP1: 1987–1992) and second (SABAP2: 2007–2012) Southern African Bird Atlas Project into the drier parts of interior South Africa. Grid cells occupied during SABAP1 generally remained occupied, but colonization of unoccupied grid cells was strongly dependent on the number of occupied grid cells in the neighborhood. The detection probability strongly varied across space due to variation in effort, observer identity, seasonality, and unexplained spatial effects. We present a flexible hierarchical approach for analyzing grid‐based atlas data using dynamical occupancy models. Our model is similar to a species' distribution model obtained using generalized additive models but has a number of advantages. Our model accounts for the heterogeneous sampling process, spatial correlation, and perhaps most importantly, allows us to examine dynamic aspects of species ranges.     

Band reporting rates of waterfowl: does individual heterogeneity bias estimated survival rates?

In capture–recapture studies, the estimation accuracy of demographic parameters is essential to the efficacy of management of hunted animal populations. Dead recovery models based upon the reporting of rings or bands are often used for estimating survival of waterfowl and other harvested species. However, distance from the ringing site or condition of the bird may introduce substantial individual heterogeneity in the conditional band reporting rates (r), which could cause bias in estimated survival rates (S) or suggest nonexistent individual heterogeneity in S. To explore these hypotheses, we ran two sets of simulations (n = 1000) in MARK using Seber''s dead recovery model, allowing time variation on both S and r. This included a series of heterogeneity models, allowing substantial variation on logit(r), and control models with no heterogeneity. We conducted simulations using two different values of S: S = 0.60, which would be typical of dabbling ducks such as mallards (Anas platyrhynchos), and S = 0.80, which would be more typical of sea ducks or geese. We chose a mean reporting rate on the logit scale of −1.9459 with SD = 1.5 for the heterogeneity models (producing a back-transformed mean of 0.196 with SD = 0.196, median = 0.125) and a constant reporting rate for the control models of 0.196. Within these sets of simulations, estimation models where σ_S = 0 and σ_S > 0 (σ_S is SD of individual survival rates on the logit scale) were incorporated to investigate whether real heterogeneity in r would induce apparent individual heterogeneity in S. Models where σ_S = 0 were selected approximately 91% of the time over models where σ_S > 0. Simulation results showed < 0.05% relative bias in estimating survival rates except for models estimating σ_S > 0 when true S = 0.8, where relative bias was a modest 0.5%. These results indicate that considerable variation in reporting rates does not cause major bias in estimated survival rates of waterfowl, further highlighting the robust nature of dead recovery models that are being used for the management of harvested species.