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141.
通过简要回顾交通通信工具不同发展阶段及其对城市形态发展演变的深刻影响,揭示了信息网络通信的发展和完善将会带来城市基本功能发生根本性的变迁,功能的变迁必然通过城市土地使用方式发生作用,从而引起整个城市空间形态的变革。 相似文献
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TONG Xia-sheng LI Chang-chong RUAN Zheng-ying CHEN Hao GUO Hai-yuan FAN Guang-min 《园艺学报》2006,22(7):1397-1401
AIM:To observe the changes of polymorphonuclear leukocytes (PMN), neutrophil elastase (NE) and myeloperoxidase (MPO) expression in rat asthma. METHODS:Eighteen rats were randomly divided into two groups on average, including asthma group and control group. The rat model of asthma was established by the ovalbumin (OVA) challenge methods. Blood PMN were isolated andpurified. The protein expression of MPO were detected by immunohistochemistry and chromatometry techniques. NE was detected by ELISA. RESULTS:(1) Immunohistochemistry showed that the levels of MPO expression around bronchus and in purified PMN in asthma group were significantly increased compared with those in control group (P<0.01). Activities of MPO were significantly increased in bronchoalveolar lavage fluid (BALF) and lung tissue in asthma group compared with those in control group (P<0.05, P<0.01). (2) Levels of NE were significantly increased in BALF and PMN in asthma group compared with control group (P<0.01). (3) Number of PMN were significantly higher in BALF, bronchus and lung tissue in asthma group than those in control group (P<0.01). CONCLUSION:Levels of PMN counting and expression of MPO and NEare significantly increased in experimental asthma rats. PMN may be involved in inflammation in asthma via increasing the levels of NE and MPO. 相似文献
146.
为确定通过Solexa高通量测序鉴定出的大量细粒棘球绦虫miRNAs序列在不同生活史阶段的表达量。采用SYBR染料法和Race试剂盒相结合的荧光定量方法对原头节和生发层阶段的miRNAs表达进行了检测分析。结果表明:两阶段miRNAs表达差异较大,其中mir-71、mir-7、mir-1和mir-19在生发层阶段表达量较高,而let-7则在原头节阶段表达较高。说明这些miRNAs可能在细粒棘球绦虫发育阶段的基因转录调控中起着重要作用。 相似文献
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[目的]研究Fe2+对人参(Panax ginseng Meyer)叶中防御酶活性和丙二醛(MDA)含量的影响。[方法]采用叶面供Fe2+的方法。试验共设5个处理,Fe2+浓度分别为:0(对照)、0.005%、0.050%、0.500%、2.000%。[结果]随着供Fe2+水平的升高,MDA含量先降低后升高,过氧化物酶(POD)活性呈持续上升趋势,过氧化氢酶(CAT)活性先升高后降低,超氧化物歧化酶(SOD)活性呈先升高后降低再升高的趋势。[结论]从生理角度揭示了铁元素在人参生长发育中的作用机理,为人参的合理施肥提供理论参考。 相似文献
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Qin-Pei Lu Yong-Mei Huang Shao-Wei Liu Gang Wu Qin Yang Li-Fang Liu Hai-Tao Zhang Yi Qi Ting Wang Zhong-Ke Jiang Jun-Jie Li Hao Cai Xiu-Jun Liu Hui Luo Cheng-Hang Sun 《Marine drugs》2021,19(12)
Mangrove actinomycetia are considered one of the promising sources for discovering novel biologically active compounds. Traditional bioactivity- and/or taxonomy-based methods are inefficient and usually result in the re-discovery of known metabolites. Thus, improving selection efficiency among strain candidates is of interest especially in the early stage of the antibiotic discovery program. In this study, an integrated strategy of combining phylogenetic data and bioactivity tests with a metabolomics-based dereplication approach was applied to fast track the selection process. A total of 521 actinomycetial strains affiliated to 40 genera in 23 families were isolated from 13 different mangrove soil samples by the culture-dependent method. A total of 179 strains affiliated to 40 different genera with a unique colony morphology were selected to evaluate antibacterial activity against 12 indicator bacteria. Of the 179 tested isolates, 47 showed activities against at least one of the tested pathogens. Analysis of 23 out of 47 active isolates using UPLC-HRMS-PCA revealed six outliers. Further analysis using the OPLS-DA model identified five compounds from two outliers contributing to the bioactivity against drug-sensitive A. baumannii. Molecular networking was used to determine the relationship of significant metabolites in six outliers and to find their potentially new congeners. Finally, two Streptomyces strains (M22, H37) producing potentially new compounds were rapidly prioritized on the basis of their distinct chemistry profiles, dereplication results, and antibacterial activities, as well as taxonomical information. Two new trioxacarcins with keto-reduced trioxacarcinose B, gutingimycin B (16) and trioxacarcin G (20), together with known gutingimycin (12), were isolated from the scale-up fermentation broth of Streptomyces sp. M22. Our study demonstrated that metabolomics tools could greatly assist classic antibiotic discovery methods in strain prioritization to improve efficiency in discovering novel antibiotics from those highly productive and rich diversity ecosystems. 相似文献