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本文应用A蛋白金银—过氧化物酶抗过氧化物酶(PAGS-PAP)双重染色法,观察了链脲佐菌素(streptozotocin,STZ)诱导的糖尿病大鼠胰腺外分泌部含高血糖素的单个A细胞(单A细胞)及合胰岛素的单个B细胞(单B细胞)密度的变化.在一次大剂量腹腔注射STZ后第5天和第10天,大鼠胰腺外分泌部单A细胞密度较对照组大鼠增加,而单B细胞密度在注射STZ后第5天较对照组大鼠减少,但在第15天与对照组大鼠接近.在第15天,一些单B细胞分布在靠近胰岛的腺泡中,岛周腺泡含单B细胞的胰岛百分率明显高于对照组.由于胰腺外分泌部的单A、单B细胞在分布特征上与中间细胞相似,在糖尿病时其数量变化也与中间细胞一致,因此,本研究所观察到的单A、单B细胞与前人报道的中间细胞有密切关系.上述单A、单B细胞密度的变化提示,在STZ诱导的糖尿病大鼠,胰腺中的B细胞被STZ破坏后,其外分泌部可能有某些细胞通过中间细胞向单A、单B细胞发生了转化或者单A、单B细胞即此转化过程中的中间细胞. 相似文献
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Hou-feng Zhang Hui Zhong Li-li Zhang Sai-bo Chen Yi-jiang Zhao Yu-lan Zhu 《Carbohydrate polymers》2009,77(4):785-790
A novel thermosensitive and hydrogel was designed and synthesized by graft copolymerization of N-isopropylacrylamide (NIPAAm) with biodegradable carboxymethylchitosan (CMCS). The influence of the content of CMCS grafted on the properties of the resulted hydrogels was examined. The morphology of the hydrogels was observed by scanning electron microscopy (SEM), their thermal property was characterized by differential scanning calorimetry (DSC), thermogravimetric analysis (TGA) and deswelling/swelling kinetics upon external temperature changes. In comparison with the conventional PNIPAAm hydrogels, the resulted hydrogels have improved thermosensitive properties, including enlarged water content at room temperature and faster deswelling/swelling rate upon heating. The strategy described here presents a potential alternative to the traditional synthesis techniques for thermosensitive hydrogels. 相似文献
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Screening and characterization of astaxanthin-hyperproducing mutants of Haematococcus pluvialis 总被引:1,自引:0,他引:1
Haematococcus pluvialis was mutated by UV or ethyl methanesulphonate. Mutants resistant to nicotine, diphenylamine, fluridone or norflurazon were then selected. Several nicotine-resistant mutants showed increased (1.9% to 2.5% vs. 1.2% w/w) astaxanthin production. Mutants maintained high astaxanthin production over 4 months of repeated culture. 相似文献
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Hui Wang Feng Qin Liu Ruan Rui Wang Qi Liu Zhanhong Ma Xiaolong Li Pei Cheng Haiguang Wang 《PloS one》2016,11(4)
It is important to implement detection and assessment of plant diseases based on remotely sensed data for disease monitoring and control. Hyperspectral data of healthy leaves, leaves in incubation period and leaves in diseased period of wheat stripe rust and wheat leaf rust were collected under in-field conditions using a black-paper-based measuring method developed in this study. After data preprocessing, the models to identify the diseases were built using distinguished partial least squares (DPLS) and support vector machine (SVM), and the disease severity inversion models of stripe rust and the disease severity inversion models of leaf rust were built using quantitative partial least squares (QPLS) and support vector regression (SVR). All the models were validated by using leave-one-out cross validation and external validation. The diseases could be discriminated using both distinguished partial least squares and support vector machine with the accuracies of more than 99%. For each wheat rust, disease severity levels were accurately retrieved using both the optimal QPLS models and the optimal SVR models with the coefficients of determination (R2) of more than 0.90 and the root mean square errors (RMSE) of less than 0.15. The results demonstrated that identification and severity evaluation of stripe rust and leaf rust at the leaf level could be implemented based on the hyperspectral data acquired using the developed method. A scientific basis was provided for implementing disease monitoring by using aerial and space remote sensing technologies. 相似文献
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