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91.
木栓酮及其衍生物在植物中普遍存在且种类繁多,具有丰富的生理药理学活性。木栓酮衍生物是以木栓酮为骨架经细胞色素氧化酶P450(cytochromeP450,CYP450)及UDP葡萄糖醛酸转移酶(UDP-glucuronosyltransferase, UGT)修饰而来。植物中天然木栓酮及其衍生物的含量极低,传统的萃取分离和化学合成效率低、能耗高且污染环境,因此,利用酿酒酵母作为宿主菌生产木栓酮及其衍生物是一种高效且环保的策略。本文从增加前体含量、提高酶活性和产物合成的亚细胞定位等方面介绍并展望了木栓酮在酿酒酵母中高效生产的策略,并介绍了目前几种常见的木栓酮衍生物研究现状,从根据碳骨架相似性挖掘CYP450、蛋白质工程改造CYP450和合成代谢基因簇的挖掘等方面展望了木栓酮衍生物的合成途径解析的新思路。 相似文献
92.
Niu Yuan Wang Fang Liu Le Zhang Guoliang Qi Bo Liu Xinhai Zhao Hongliang Huang Zhiwei Fan Song Zhang Linqing 《Journal of Plant Growth Regulation》2023,42(1):154-167
Journal of Plant Growth Regulation - 1,2,4-trichlorobenzene (1,2,4-TCB) pollution in fields has become a potential threat to rice growth, yet little is known about the different response of many... 相似文献
93.
以东亚浅海生态系统中的关键种——刺参(Apostichopus japonicus)为实验对象,研究了CO2驱动的海水酸化及升温对其生长及能量收支的影响。实验设置对照组(大连近海水温, pCO2 400μatm)、升温组(大连近海水温+3℃, pCO2 400μatm)、酸化组(大连近海水温, pCO2 1100μatm)和酸化升温组(大连近海水温+3℃,pCO2 1100μatm)。结果表明:与对照组相比,温度升高3℃对刺参的生长无显著影响;酸化组刺参的特定生长率最低,较对照组降低0.19%/d,个体体重的变异系数最大;酸化升温组刺参的终末体重和特定生长率与对照组相较无显著差异,但其摄食率和排粪率均显著高于对照组。升温组和酸化组的刺参能量的分配模式与对照组相比未发生明显改变,但酸化升温组刺参的能量分配模式发生显著变化,其粪便能所占摄食能的比例显著升高。研究表明,海水酸化抑制了刺参的生长但未改变其能量的分配,生长的降低主要取决于摄食减少;而海水酸化与温度升高的共同作用可能会通过... 相似文献
94.
95.
苄基异喹啉化合物是一类钙调素拮抗剂.对新合成的双苄基异喹啉化合物 D20对钙调素依赖的磷酸二酯酶的抑制作用进行了研究,IC50=5μmol/L,表明其拮抗作用大于三氟啦嗪,是强的拮抗剂.荧光分析表明,钙调素与化合物 D20的结合常数为2.64(μmol/L)-1,一个化合物 D20分子与两个钙调素分子结合,并显示了结合方向性及空间位阻影响. 相似文献
96.
LDL的氧化修饰和氧化修饰LDL的组成和结构变化 总被引:8,自引:1,他引:7
与低密度脂蛋白(LDL)相比,氧化修饰LDL(O-LDL)的组成、结构和生物学特性发生了深刻的变化,而组成和结构的改变是生物学特性改变的基础.本文根据最近文献资料.结合我们实验室的工作.对LDL的氧化修饰、O-LDL的组成、结构改变,以及它们的机理作一简要综述. 相似文献
97.
杨树拟茎点菌溃疡病的研究 总被引:1,自引:0,他引:1
本病系我国杨树新发生的一种病害。病原菌的分生孢子有2种形状,无色透明、单胞,呈纺缍形孢子大小为1.64—2.74×9.59—13.7μm。线形孢子顶端弯钩状大小为1.37—1.78×15—27.4μm。病原菌适宜生长的培养基为PDA、麦芽粉、豆饼粉培养基;温度为25—32℃和pH6—10。本病于4月下旬发病,5月中下旬分生孢子成熟,6月中下旬为分生孢子飞散高峰期。经室内采用多菌灵、甲基托布津、福美砷的200倍液浸泡插穗30、60、90分钟处理均有药害,采用100—200倍液浸泡10分钟无药害,对病害有防效。造林地幼树可采用上述药剂的100倍液进行刮破病斑涂抹,防效可达87.5%。 相似文献
98.
Yangxun Pan Deyao Zhang Yuheng Chen Huake Li Jiongliang Wang Ze Yuan Liyang Sun Zhongguo Zhou Minshan Chen Yaojun Zhang Dandan Hu 《Journal of cellular and molecular medicine》2023,27(7):1006-1020
Hepatocellular carcinoma (HCC) is one of the most common malignant tumours worldwide. Given metabolic reprogramming in tumours was a crucial hallmark, several studies have demonstrated its value in the diagnostics and surveillance of malignant tumours. The present study aimed to identify a cluster of metabolism-related genes to construct a prediction model for the prognosis of HCC. Multiple cohorts of HCC cases (466 cases) from public datasets were included in the present analysis. (GEO cohort) After identifying a list of metabolism-related genes associated with prognosis, a risk score based on metabolism-related genes was formulated via the LASSO-Cox and LASSO-pcvl algorithms. According to the risk score, patients were stratified into low- and high-risk groups, and further analysis and validation were accordingly conducted. The results revealed that high-risk patients had a significantly worse 5-year overall survival (OS) than low-risk patients in the GEO cohort. (30.0% vs. 57.8%; hazard ratio [HR], 0.411; 95% confidence interval [95% CI], 0.302–0.651; p < 0.001) This observation was confirmed in the external TCGA-LIHC cohort. (34.5% vs. 54.4%; HR 0.452; 95% CI, 0.299–0.681; p < 0.001) To promote the predictive ability of the model, risk score, age, gender and tumour stage were integrated into a nomogram. According to the results of receiver operating characteristic curves and decision curves analysis, the nomogram score possessed a superior predictive ability than conventional factors, which indicate that the risk score combined with clinicopathological features was able to achieve a robust prediction for OS and improve the individualized clinical decision making of HCC patients. In conclusion, the metabolic genes related to OS were identified and developed a metabolism-based predictive model for HCC. Through a series of bioinformatics and statistical analyses, the predictive ability of the model was approved. 相似文献
99.
100.
Yaomin Luo Xintong Lu Wenrong Ma Yang Xiao Chen Wei Xiaoxia Yuan Yueyue Wu Yunlin Wang Yiman Xiong Xin Yu Xue Wu Siqi He Yayudie Liu Jinjing Wang Qing Wu Hui Zhou Zhen Jiang 《Journal of cellular and molecular medicine》2023,27(22):3591-3600
Long non-coding RNAs (lncRNA) have an extensive role in the progression and chemoresistance of gastric cancer (GC). Deeply study the regulatory role of lncRNAs could provide potential therapeutic targets. The aim of this study is to explore the regulatory role of HOTAIR in the progression and oxaliplatin resistance of GC. The expression of HOTAIR in GC and cell lines were detected by using qRT-PCR. Cell proliferation and apoptosis were analysed by CCK-8, EdU incorporation and flow cytometry. Luciferase reporter assay was used to identify the interaction between HOTAIR and ABCG2 (ATP-binding cassette (ABC) superfamily G member 2, ABCG2) via miR-195-5p. The regulatory functions were verified by using molecular biology experiments. HOTAIR was significantly overexpressed in GC and associated with poor prognosis. Knock-down of HOTAIR inhibited the GC cells proliferation and oxaliplatin resistance, while overexpression of HOTAIR showed opposite functions. Further studies found that HOTAIR acted as a competing endogenous RNA (ceRNA) to absorb miR-195-5p and elevated the expression of ABCG2, which leads to resistance of GC cells to oxaliplatin. Taken together, our findings demonstrated that HOTAIR regulates ABCG2 induced resistance of GC to oxaliplatin through miR-195-5p signalling and illustrate the great potential of developing new therapeutic targets for GC patients. 相似文献