Non-Coding RNAs in Muscle Dystrophies

ncRNAs are the most recently identified class of regulatory RNAs with vital functions in gene expression regulation and cell development. Among the variety of roles they play, their involvement in human diseases has opened new avenues of research towards the discovery and development of novel therapeutic approaches. Important data come from the field of hereditary muscle dystrophies, like Duchenne muscle dystrophy and Myotonic dystrophies, rare diseases affecting 1 in 7000–15,000 newborns and is characterized by severe to mild muscle weakness associated with cardiac involvement. Novel therapeutic approaches are now ongoing for these diseases, also based on splicing modulation. In this review we provide an overview about ncRNAs and their behavior in muscular dystrophy and explore their links with diagnosis, prognosis and treatments, highlighting the role of regulatory RNAs in these pathologies.     

紫花地丁中芹菜素提取和清除自由基活性研究

为充分利用与开发紫花地丁资源,本文采用乙醇提取紫花地丁中芹菜素苷,经溶剂萃取和D-101大孔树脂吸附与分离,用酸水解后乙醚溶解和丙酮重结晶得到芹菜素.采用化学发光法研究了紫花地丁中芹菜素清除O-2.和.OH活性.实验结果表明,D-101树脂对紫花地丁芹菜素静态交换容量是30.2 mg/g,树脂吸附率为75.2%.经分离纯化的紫花地丁芹菜素对清除O-2.和.OH均有一定效果:当芹菜素浓度为4μg/mL时,其清除O-2·率为43.4%,且清除效果比Vc、VE都强;芹菜素浓度为9μg/mL时,清除.OH率为22.45%,其清除效果比Vc差,但比VE好.     

蒽酮比色法测定紫花地丁中总糖及还原糖含量

目的：通过对紫花地丁中总糖提取最佳条件的选择，测定紫花地丁不同部位的总糖殁还原糖的含量。方法：采用L9（3^3）正交实验，以料液比、反应时间和盐酸浓度为影响因素，通过蒽酮比色法在624nm处测定其总糖和还原糖的含量。结果：紫花地丁叶片、叶柄、根中总糖的含量分别为11．53％、12．1％、35．80％，还原糖的含量为4．78％、4．44％、11．74％，本实验重现性良好，RSD为1．84％，回收率为97．61％。     

Textiles in Architecture

‘The cutting edge in architecture is not sharp, but sensuous and soft.’ As textiles begin to emerge as megamaterials, Bradley Quinn explains how architects are pioneering new possibilities for soft structures. Fabric-formed environments are fashioning tensile buildings and inflatable pavilions, while the tailoring techniques of braiding, weaving and pleating are building supple skyscrapers and bioclimatic enclosures. Copyright © 2006 John Wiley & Sons, Ltd.     

General Blending Models for Data From Mixture Experiments

We propose a new class of models providing a powerful unification and extension of existing statistical methodology for analysis of data obtained in mixture experiments. These models, which integrate models proposed by Scheffé and Becker, extend considerably the range of mixture component effects that may be described. They become complex when the studied phenomenon requires it, but remain simple whenever possible. This article has supplementary material online.     

含有过程变量简化Becker模型（Ⅲ）的D—最优设计

研究了含有过程变量的简化Ｂｅｃｋｅｒ模型（Ⅲ）及参数估计的Ｄ最优正交区组设计,并给出了这一结论的证明