用稳定性同位素技术确定高寒草甸生态系统中动物营养级模型

根据稳定性同位素技术原理建立了高寒草甸生态系统中动物的营养级模型 (3)、 (7)和 (9)式。 3个模型分别描述了每种食物资源对动物的贡献大小 (PCV)、食物资源 (Ai)占取食动物 (P)的整个食物的比例 (PAiP)、动物在高寒草甸生态系统中的营养级 (TLc) :PCVAi =cos (ΔαPAi)ΖPAi(3)PAiP =PCVAi∑i=1PCVAi× % (7)TLc =1 (αc-αTL1) /Δαcd (9)式中 ,ΔαPAi为捕食者P与食物Ai 的取食角 ,ΖPAi为捕食向量与食物向量之间的欧氏距离 ,αc 是消费者的向量角 ,αTL1是第一营级的向量角 ,利用系数Δαcd是消费者与食物向量角之差 (为一常数 )。同时 ,给出了判断高寒草甸两个物种之间捕食或营养关系模型 (ΖS1 S2 ) :当cos (Δα) /PCVmin≤ΖS1 S2 ≤cos (Δα) /PCVmax时存在捕食关系 ,并为上下级营养关系 ;当ΖS1 S2 cos (Δα) /PCVmax时 ,不存在捕食关系 ,前式为同一营养级 ,后式为相隔一个至几个营养级。模型 (9)式得到的结果与张晓爱等 (1999)报道一致。     

Immortalized cells as experimental models to study cancer

The development of cancer is a multi-step process in which normal cells sustain a series of genetic alterations that together program the malignant phenotype. Much of our knowledge of cancer biology results from the detailed study of specimens and cell lines derived from patient tumors. While these approaches continue to yield critical information regarding the identity, number, and types of alterations found in human tumors, further progress in understanding the molecular basis of malignant transformation depends upon the generation and use of increasingly sophisticated experimental models of cancer. Over the past several years, the recognition that telomeres and telomerase play essential roles in regulating cell lifespan now permits the development of new models of human cancer. Here we review recent progress in the use of immortalized human cells as a foundation for understanding the molecular basis of cancer.     

High-efficiency Agrobacterium-mediated transformation of Brachypodium distachyon inbred line Bd21-3

Brachypodium distachyon (Brachypodium) is a small grass with biological attributes (rapid generation time, small genome, diploid accessions, small stature and simple growth requirements) that make it suitable for use as a model system. In addition, a growing list of genomic resources have been developed or are currently under development including: cDNA libraries, BAC libraries, EST sequences, BAC end sequences, a physical map, genetic markers, a linkage map and, most importantly, the complete genome sequence. To maximize the utility of Brachypodium as a model grass it is necessary to develop an efficient Agrobacterium-mediated transformation system. In this report we describe the identification of a transformable inbred diploid line, Bd21-3, and the development of a transformation method with transformation efficiencies as high as 41% of co-cultivated calluses producing transgenic plants. Conducting the co-cultivation step under desiccating conditions produced the greatest improvement in transformation efficiency.     

The performance of risk prediction models

For medical decision making and patient information, predictions of future status variables play an important role. Risk prediction models can be derived with many different statistical approaches. To compare them, measures of predictive performance are derived from ROC methodology and from probability forecasting theory. These tools can be applied to assess single markers, multivariable regression models and complex model selection algorithms. This article provides a systematic review of the modern way of assessing risk prediction models. Particular attention is put on proper benchmarks and resampling techniques that are important for the interpretation of measured performance. All methods are illustrated with data from a clinical study in head and neck cancer patients.     

The use of different models for the estimation of residual feed intake (RFI) as a measure of feed efficiency in meat sheep

The concept of residual feed intake (RFI), in determining differences among animals in converting feed into body tissue, was first raised in 1963. Feed efficiency is typically calculated as a function of liveweight gain (LWG) and feed intake (FI). Historically two versions of the same model were proposed, one where FI was adjusted for liveweight (LW) and LWG, and the other where LWG was adjusted for FI and LW. Variation in LWG or FI could then be partitioned into two parts; that which is expected and can be attributed to differences in FI or LWG; and that which is the residual portion, which is the deviation from the expected value based on regression, and therefore not accounted for by differences in FI or LWG. Based on this definition, it is the residual portion which is the measure of efficiency. Both within a livestock industry and between different livestock industries there is no set model for calculating RFI. This paper evaluated four models used to calculate RFI and one model used to calculate residual LWG (RLWG) at a standard level of nutrition. They were the main model currently in use in the Australian beef cattle industry (RFI_B), the original models proposed in 1963 (RFI₁₉₆₃; RLWG₁₉₆₃); a French model which included ultrasound measures of muscle and fat depth (RFI_F) and the use of the Australian feeding standards to calculate predicted intake and thus RFI (RFI_SCA). Using feed intake, liveweight and body composition data generated from the same group of sheep (n = 52) at two ages (6 mo, 13 mo), the relative merits of each model were evaluated and compared to the other models, to determine the most appropriate model to calculate RFI for sheep. For all the models except that used to calculate RLWG, over half of the variation in FI could be explained by the model. The amount of variation in FI accounted for depended on the parameters included and the dataset, with less variation in FI explained by the specific models in the older animals. The RFI_F model, which included measures of body composition, accounted for the greatest proportion of the variation in FI and as such suggests that the inclusion of body composition parameters is likely to more accurately reflect true biological efficiency.     

Effects antifreeze peptides on the thermotropic properties of a model membrane

In this paper, we report on the effect of short segments of type I antifreeze protein (AFP I) on the thermotropic properties of a model membrane. Two different types of dimyristoylphosphatidylcholine model membranes were used, multilamellar vesicles and small unilamellar vesicles. The membrane properties were studied by differential scanning calorimetry (DSC) and fluorescence anisotropy. With the incorporation of AFP I and its short segments, the order of the model membrane increased both in the gel state and in the liquid crystalline state. The interaction of AFPs with the model membrane caused a shift in the phase transition to lower temperatures, which is accompanied by a broadening of the DSC thermogram. This preferential stabilization to a more ordered phase by the AFPs could be due to ordering the hydrophobic membrane core and separation into domains. Overall, this approach of employing short segments of AFP I simplifies the correlation between antifreeze protein characteristics and the effect of these parameters on the interaction mechanism of AFP with cell membranes. The success of this approach can lead to the identification of short peptides with high antifreeze activity.     

Saccade-related remapping of target representations between topographic maps: a neural network study

The goal of this study was to explore how a neural network could solve the updating task associated with the double-saccade paradigm, where two targets are flashed in succession and the subject must make saccades to the remembered locations of both targets. Because of the eye rotation of the saccade to the first target, the remembered retinal position of the second target must be updated if an accurate saccade to that target is to be made. We trained a three-layer, feed-forward neural network to solve this updating task using back-propagation. The network's inputs were the initial retinal position of the second target represented by a hill of activation in a 2D topographic array of units, as well as the initial eye orientation and the motor error of the saccade to the first target, each represented as 3D vectors in brainstem coordinates. The output of the network was the updated retinal position of the second target, also represented in a 2D topographic array of units. The network was trained to perform this updating using the full 3D geometry of eye rotations, and was able to produce the updated second-target position to within a 1 degrees RMS accuracy for a set of test points that included saccades of up to 70 degrees . Emergent properties in the network's hidden layer included sigmoidal receptive fields whose orientations formed distinct clusters, and predictive remapping similar to that seen in brain areas associated with saccade generation. Networks with the larger numbers of hidden-layer units developed two distinct types of units with different transformation properties: units that preferentially performed the linear remapping of vector subtraction, and units that performed the nonlinear elements of remapping that arise from initial eye orientation.     

Explaining variation in tropical plant community composition: influence of environmental and spatial data quality

The degree to which variation in plant community composition (beta-diversity) is predictable from environmental variation, relative to other spatial processes, is of considerable current interest. We addressed this question in Costa Rican rain forest pteridophytes (1,045 plots, 127 species). We also tested the effect of data quality on the results, which has largely been overlooked in earlier studies. To do so, we compared two alternative spatial models [polynomial vs. principal coordinates of neighbour matrices (PCNM)] and ten alternative environmental models (all available environmental variables vs. four subsets, and including their polynomials vs. not). Of the environmental data types, soil chemistry contributed most to explaining pteridophyte community variation, followed in decreasing order of contribution by topography, soil type and forest structure. Environmentally explained variation increased moderately when polynomials of the environmental variables were included. Spatially explained variation increased substantially when the multi-scale PCNM spatial model was used instead of the traditional, broad-scale polynomial spatial model. The best model combination (PCNM spatial model and full environmental model including polynomials) explained 32% of pteridophyte community variation, after correcting for the number of sampling sites and explanatory variables. Overall evidence for environmental control of beta-diversity was strong, and the main floristic gradients detected were correlated with environmental variation at all scales encompassed by the study (c. 100–2,000 m). Depending on model choice, however, total explained variation differed more than fourfold, and the apparent relative importance of space and environment could be reversed. Therefore, we advocate a broader recognition of the impacts that data quality has on analysis results. A general understanding of the relative contributions of spatial and environmental processes to species distributions and beta-diversity requires that methodological artefacts are separated from real ecological differences.     

IRM-2小鼠移植性肿瘤模型的生物学特性

目的观察IRM-2小鼠和C57BL/6小鼠接种Lewis肺癌生物学特性的对比研究。方法取肿瘤组织研磨,用生理盐水稀释成2×10^6/mL,取细胞悬液接种于IRM-2小鼠和C57BL/6小鼠腋下,0.2 mL/只。观察两品系肿瘤生长、荷瘤鼠生存时间,外周血细胞及病理指标变化。结果两品系小鼠成瘤率均是100%,荷瘤鼠存活时间无明显差异,IRM-2小鼠荷瘤鼠体重净增长明显高于C57BL/6荷瘤小鼠（P〈0.05）。白细胞分类及病理指标变化无明显差别。结论IRM-2小鼠与C57BL/6小鼠Lewis肺癌模型生物学特性基本一致,IRM-2小鼠可以建立稳定的Lewis肺癌肿瘤模型应用于实验研究。     

腺嘌呤与氢化可的松大鼠肾阳虚模型造模方法比较

目的比较腺嘌呤诱导与氢化可的松诱导的SD大鼠肾阳虚模型的优劣,从而得到临床症状、生化指标更符合中医“肾阳虚”型的动物模型,以供科研、教学使用。方法雄性SD大鼠100只,随机分成正常组、腺嘌呤造模组及氢化可的松低剂量组、中剂量组、高剂量组各20只,造模成功后检测血肌酐（Scr）、尿素氮（BUN）、尿液中17-羟皮质类固醇（17-OH）和血浆中甲状腺激素（13、T4）、睾丸酮（T）、雌二醇（E2）及模型大鼠骨密度。结果无论从症状主证方面,还是客观指标方面（除骨密度外）,腺嘌呤诱导的SD大鼠肾阳虚型动物模型在生化指标研究方面均优于氢化可的松诱导组。结论腺嘌呤诱导的肾阳虚证SD大鼠模型在症状主证方面及其相关的生化研究方面优于氢化可的松组。