查询词典 genetic effect

The stable clones are further identified by RT-PCR and Western blot; 6 MTT assay is used to investigate the effect of ZNRD1 on the cell growth of cells (AGS, SGC7901, MKN28, NIH3T3, GES-1); 7 Soft agar assay is used to investigate the effect of ZNRD1 on the clonality of cells (AGS, MKN28); 8 Nude mice assay is used to investigate the effect of ZNRD1 on the cell growth of gastric cancer cells (AGS, MKN28); 9 Flow cytometry is used to investigate the effect of ZNRD1 on the cell cycle distribution of cells (AGS, MKN28, NIH3T3, GES-1); 10 Flow cytometry is used to investigate the effect of ZNRD1 on the cell apoptosis of cells (AGS, MKN28, NIH3T3); 11 MTT assay is used to investigate the effect of ZNRD1 on the drug sensitivity of cancer cells (SGC7901, SGC7901/VCR, HL-60, HL-60/VCR) in vitro; 12 SRCA is used to investigate the effect of ZNRD1 on the drug sensitivity of gastric cancer cells (SGC7901, SGC7901/VCR) in vivo; 13 Flow cytometry is used to investigate the effect of ZNRD1 on adriamycin accumulation of cancer cells (SGC7901, SGC7901/VCR, HL-60, HL-60/VCR); 14 Transmission electron microscope is used to investigate the effect of ZNRD1 on the sensitivity of SGC7901 cells towards drug-induced apoptosis; 15 Flow cytometry and DNA ladder assay are used to investigate the effect of ZNRD1 on the sensitivity of cells (SGC7901, SGC7901/VCR, HL-60/VCR) towards drug-induced apoptosis; 16 Microarray is used to investigate the profiling of ZNRD1-responsive genes in gastric cancer cells (AGS, MKN28, SGC7901, SGC7901/VCR); 17 RT-PCR and Western blot are used to identify the results of microarray; 18 Reporter gene assay is used to investigate the effect of ZNRD1 on the transcriptional activity of cyclin D1; 19 Reporter gene assay is used to investigate the effect of ZNRD1 on the transcriptional activity of MDR1; 20 Kinase assay is used to investigate the effect of ZNRD1 on the activity of cyclin E-CDK2 kinase; 21 The antisensenucleic acids of p21 is used to inhibit the expression of p21, and flow cytometry is used to investigate the effect of p21 on ZNRD1-induced cell cycle arrest in gastric cancer cells; 22 The antisensenucleic acids of p27 is used to inhibit the expression of p27, and flow cytometry is used to investigate the effect of p27 on ZNRD1-induced cell cycle arrest in gastric cancer cells; 23 Liposome is used to up-regulate the expression of Skp2, and flow cytometry is used to investigate the effect of Skp2 on ZNRD1-induced cell cycle arrest in gastric cancer cells; 24 Western blot is used to investigate the effect of ZNRD1 on the stability of Skp2 and p27 in gastric cancer cells; 25 MVD assay is used to investigate the effect of ZNRD1 on the angiopoietic activity of gastric cancer cells; 26 ELISA is used to investigate the effect of ZNRD1 on the expression of VEGF165 in gastric cancer cells; 27 The roles of DARPP-32 in MDR of gastric cancer cells are investigated using gene transfection, MTT assay, SRCA, flow cytometry and DNA ladder assay.

应用杂交瘤技术制备ZNRD1的首个单克隆抗体；2）利用RT-PCR、Western blot和免疫组化检测ZNRD1在胃癌组织、胃炎组织、正常胃上皮组织、胃癌细胞和正常胃组织上皮细胞中的表达；3）构建ZNRD1的小干扰RNA载体，并测序鉴定；4）利用脂质体将ZNRD1的真核表达载体及其空载体转染胃癌细胞（AGS、SGC7901、MKN28）和小鼠成纤维细胞（NIH3T3），G418筛选后进行鉴定；5）利用脂质体将ZNRD1的小干扰RNA载体及其空载体转染药敏胃癌细胞（SGC7901）、正常胃组织上皮细胞（GES-1）、对长春新碱耐药的胃癌细胞（SGC7901/VCR）、药敏白血病细胞（HL-60）、对长春新碱耐药的白血病细胞（HL-60/VCR），G418筛选后进行鉴定；6）利用MTT实验检测ZNRD1高/低表达对细胞（AGS、SGC7901、MKN28、NIH3T3、GES-1）生长的影响；7）通过软琼脂克隆形成实验检测上调ZNRD1对AGS、MKN28细胞克隆形成能力的影响；8）通过裸鼠成瘤实验检测上调ZNRD1对AGS、MKN28细胞体内成瘤性的影响；9）通过流式细胞仪分析ZNRD1高/低表达对细胞（AGS、MKN28、NIH3T3、GES-1）的细胞周期的影响；10）通过流式细胞仪分析上调ZNRD1对细胞（AGS、MKN28、NIH3T3）的凋亡的影响；11）通过MTT实验检测ZNRD1高/低表达对细胞（SGC7901、SGC7901/VCR、HL-60、HL-60/VCR）体外药物敏感性的影响；12）通过肾包膜下移植法检测ZNRD1高/低表达对细胞（SGC7901、SGC7901/VCR）体内药物敏感性的影响；13）通过流式细胞仪分析ZNRD1高/低表达对细胞（SGC7901、SGC7901/VCR、HL-60、HL-60/VCR）内阿霉素蓄积和泵出的影响；14）通过透射电镜检测上调ZNRD1对SGC7901细胞凋亡敏感性的影响；15）通过流式细胞仪和DNA梯度试验检测ZNRD1高/低表达对细胞（SGC7901、SGC7901/VCR、HL-60）凋亡敏感性的影响；16）通过基因芯片检测ZNRD1高/低表达对胃癌细胞内基因表达谱的影响；17）利用RT-PCR、Western blot对基因芯片的结果进行鉴定；18）利用报告基因实验检测ZNRD1对cyclin D1的启动子活性的调节作用；19）利用报告基因实验检测ZNRD1高/低表达对MDR1的启动子活性的调节作用；20）利用激酶试验检测ZNRD1对cyclin E-CDK2 激酶活力的影响；21）利用反义核酸技术抑制p21的表达；通过流式细胞仪检测抑制p21对ZNRD1介导的细胞周期阻滞的影响；22）利用反义核酸技术抑制p27的表达；通过流式细胞仪检测抑制p27对ZNRD1介导的细胞周期阻滞的影响；23）利用脂质体转染法上调Skp2的表达；通过流式细胞仪检测上调Skp2对ZNRD1介导的细胞周期阻滞的影响；24）利用Western blot检测ZNRD1对p27和Skp2的蛋白稳定性的影响；25）利用微血管密度实验检测ZNRD1对AGS、MKN28细胞裸鼠移植瘤微血管形成的影响；26）利用ELISA检测ZNRD1对AGS、MKN28细胞培养上清和移植瘤匀浆中VEGF165含量的影响；27）利用脂质体转染法、MTT实验、肾包膜下移植法、流式细胞仪和DNA梯度试验检测新耐药相关分子DARPP-32对细胞（SGC7901、SGC7901/VCR、对阿霉素耐药的胃癌细胞SGC7901/ADR）多药耐药表型的影响；利用脂质体转染法和MTT实验检测下调ZNRD1对DARPP-32介导的胃癌多药耐药的调控作用。

In the early stage of the genetic algorithms, the three genetic mechanisms are used both in integer part and decimal part, so that the genetic algorithms have stronger global search ability, keep the population diversity efficiently and avoid falling into local extremum. In the later stage of the genetic algorithms, the three genetic operators are used in decimal part, so the genetic algorithms have stronger local search ability and fast convergence ability.

在遗传算法开始阶段，该编码算子进行整数部分和小数部分的遗传操作，使得遗传算法在早期具有很强的全局搜索能力，避免陷人局部极值；在后期进行小数部分的遗传操作，使得遗传在后期具有很强的局部搜索能力，能够很快地搜索到全局极值。

If you have done a antemarital examination and understanding of you and your wife's genetic history (preferably more than three generations), if there is no genetic disease to a healthy child is basically no problem, there are many genetic disease is recessive genetic The children will be high risk of illness (that is, you both husband and wife are ill or have a family history of a common cause of), if your husband is very healthy, and there is no family history, children have the genetic disease is only a very small the probability of (the possibility of a few hundred thousandth), so no need to worry about, but you also need to buy some books on the birth to see, after all, cultivating a healthy child is not just the absence of genetic disease can also pregnancy testing should always be done.

如果你们做了婚检，并且了解你以及你的妻子家的遗传病史，如果没有遗传病要个健康孩子基本上是没有问题的，有许多的遗传病是隐性遗传的，孩子会患病的几率才高（也就是你们夫妻两人都是患者或是家族病史上有共同的病因），如果你们夫妻很健康，而且没有家族病史，孩子得遗传病只是有很小的概率，所以没必要去担心，但是还需要你们去买些关于生育的书去看看，毕竟培养一个健康的孩子不仅仅是由于没有遗传病就可以的，还要经常去做孕检。

AMOVAresults showed there were 95.99%genetic variance within subpopulations,4.01% genetic variance between subpopulationsfor Schima superba;there were 75.36% genetic variance within subpopulation,24.64%genetic variance between subpopulations for Castanopsis chinensis;there were 89.55%genetic variance within subpopuiations,10.45% genetic variance betweensubpopulations for Cryptocarya chinensis.

AMOVA分析结果表明，荷木有95.99％的遗传变异表现在亚种群内，有4.01％的遗传变异表现在亚种群间，即95.99％的遗传变异是由于个体与个体之间的差异造成的，有4.01％的遗传变异是由于个体在不同的群落造成的；锥栗有75.36％的遗传变异表现在亚种群内，有24.64％的遗传变异表现在亚种群间，即75.36％的遗传变异是由于个体与个体之间的差异造成的，有24.64％的遗传变异是由于个体在不同的群落造成的；厚壳桂有89.55％的遗传变异表现在亚种群内，有10.45％的遗传变异表现在亚种群间，即89.55％的遗传变异是由于个体与个体之间的差异造成的，有10.45％的遗传变异是由于个体在不同的群落造成的。

In this paper a genetic algorithm four-dimension data assimilation system was applied to the more complex MM5 model, we verify the performance of the genetic algorithm assimilation system, we take the a heavy rainfall process during 04-05, July, 2003 as the experimental research object, and carry out data assimilation experiment of actual observation data, compare the experimental results of the genetic algorithm assimilation system and MM5 adjoint model assimilation system with the experimental results without assimilation, the following is the result:genetic algorithm assimilation system is used not only in a barotropic primitive equation but also in the complex model, MM5, for example, in the ideal experiment the result of the genetic algorithm assimilation system is better than the MM5 adjoint model assimilation system, in the assimilation experiment of actual observation data, whichever assimilation system is used, the initial field of numerical prediction model is effectively improved and the prediction effect of physical field and rainfall are somewhat enhanced.

本文将遗传算法的四维同化系统运用到更复杂的MM5模式中，在理想实验中验证遗传算法同化系统的性能，并以2003年7月4日"南京暴雨"作为研究对象，进行了实际观测资料的同化，并将遗传算法同化系统和MM5伴随模式同化系统得到的结果跟未同化的结果进行了比较，结果如下：遗传算法同化系统不仅可以用在正压原始方程模式上，同样也可以用在MM5等复杂模式上，理想实验证明了遗传算法同化系统优于MM5伴随同化系统，在实际观测资料同化中，采用两种方法的同化系统都能有效地改善数值预报模式的初始场，能在一定程度上提高物理量场和降水量的预报效果。

This study aims to explore the following questions: differences of the genetic polymorphism among seasonal populations; differences of genetic diversity among four age groups and between two different gender populations; testifying the Ford and Chitty hypothesis; the relationship between the genetic diversity and geographic distance; the relationship between the genetic diversity and population density; edge effect on genetic diversity.

主要探讨以下问题：季节种群间遗传多态的差异；种群年龄组和性别间遗传多样性的差异；Ford和Chitty的假说；种群遗传多样性与空间距离的关系；种群遗传多样性与密度的关系；中心区、边缘区和半岛区种群遗传多样性的差异。

Common buckwheat ( F. esculentum ) is an allogamy crop, which is heterogony. There is heterogeneity in the species. To reveal the genetic diversity within cultivar population, In order to explore the sampling strategy that can reveal genetic diversity of buckwheat resources on the molecular level. PCR with intron-splice junction primers and long random primers was employed to reveal the genetic diversity within nine common buckwheat varieties and one tartary buckwheat cultivar population among different individuals. We established the sampling strategy in its genetic diversity study. Then we used the established sampling strategy, and the same PCR markers technique,to analysis the genetic diversity of 86 common buckwheat resources, the main results are as follows

甜荞是花柱异长自交不亲和的异花授粉作物，品种内存在一定的异质性，为了准确揭示甜荞遗传资源的遗传多样性，本研究采用因子分析法对86份甜荞遗传资源农艺性状数据进行分析；采用长随机引物和内含子切接点引物的PCR分子标记技术，对9个甜荞品种和1个苦荞品种不同个体间的遗传多样性进行了分析，建立了甜荞资源遗传多样性研究的取样策略；并利用建立的取样策略，采用PCR标记技术，对这86份甜荞资源的遗传多样性进行了分析，取得如下主要结果

A fine-grained genetic algorithm based algorithm which is for the parameters optimization problem of agent model is proposed. The fine-grained genetic algorithm is used to solve the parameters optimization problem of agent model. As to the parameters optimization problem of the agents colony model, the first step is to define the concept of "the parameters mode of the combat agents colony" to describe the parameters of the combat agent colony model. Then the genetic algorithm is used to solve the optimization problem with the parameters mode of the combat agent colony model as the genetic individual. Besides the algorithm, the algorithm dispatch tactic is also considered. And the two level sequence dispatch tactic and the two level nesting dispatch tactic are put forward for those complex parameters optimization problem. At last, the model parameters optimization under antagonism codition is studied. The means to solve this problem is to translate it into a kind of antagonism problem, then use the competitive co-evolutionary genetic algorithms to solve it.

其中：提出了一种基于细粒度模型的作战智能体模型参数优化求解算法，用细粒度模型遗传算法求解作战智能体模型参数优化问题；提出了"作战智能体群体参数模式"的概念，对作战智能体群体模型参数进行形式化描述，再以作战智能体群体参数模式为遗传个体，应用遗传算法求解作战智能体群体模型参数的优化问题；研究了上述优化问题求解算法的调度策略，提出了分层模型参数优化算法的双层顺序调度策略和双层嵌套调度策略，解决复杂的模型参数优化问题；将对抗条件下作战模型参数的优化问题转化为一种对抗性问题，应用竞争性共同进化遗传算法，进行求解。

On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production"s distribution optimal model, production"s constitution optimal model and measured production"s constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm"s convergence theory and calculation"s complexity theory to analyze seriatim SUMT algorithm"s convergence and genetic algorithms convergence, and compare performance with each other.

在此基础上，利用神经网络方法和微分模拟方法根据历史数据得到各分项产量与其影响因素之间的定量关联关系，并引入气田开发动态指标新的预测方法(基于模糊综合评判的组合预测方法、神经网络优选组合预测模型预测方法以及基于遗传优化的神经网络预测方法)；(2)以数学规划为基础，结合数量经济学和技术经济学，引入经济指标建立产量分配优化模型、产量构成优化模型、措施产量构成优化模型、气田开发多目标规划模型以及五年规划模型，进而获得全气田及各采气厂的最优方案，并引入资金时间价值对五年规划模型进行改进；(3)以非线性规划问题的最优解及算法理论为基础，引入SUMT算法以及遗传算法对模型的求解进行研究，并在原有的遗传算法基础上，引入自适应调整方法对遗传算法进行改进；以算法的收敛性理论和计算复杂性理论为基础，逐一分析SUMT算法以及遗传算法的收敛性，并比较三种算法的优劣性。

The 54 accessions were classified into five major groups:Ⅰ,Ⅱ,Ⅲ,Ⅳ and Ⅴ by cluster analysis using UPGMA, which showed significant relationship with the origin regions of accessions. Genetic differentiation between and within eight eco-geographical groups of C.dactylon was estimated by Shannon's diversity index, which showed that 63.81% genetic variance existed within group, and 36.19 % genetic variance was among groups, indicating rather large genetic distances among those germplasm, and there was a correlation between genetic differentiation and eco-geographical habits among the groups.

聚类分析结果表明，52份材料可聚为5类；基于Shannon多样性指数估算了8个狗牙根生态地理类群内和类群间的遗传分化，类群内的遗传变异占总变异的63.81%，类群间的遗传变异占总变异的36.19%，表明这些抗源材料遗传差异较大，各生态地理类群间的遗传分化与其所处的生态地理环境具有一定的相关性。

Dixie itself is a nickname for the American South.

Dixie 本身是美国南部的别称。

I think John Terry epitomises that and a big reaction is what we will be looking for.

而我认为特里就是这样一个典型，他正是我们期望看到的那个领秀。