目的:应用Tandem mass tag(TMT)技术联合高内涵筛选(HCS)寻找潜在的胃癌相关基因。方法:利用TMT技术从胃癌及癌旁组织中筛选差异表达蛋白质,应用GO和KEGG数据库进行注释和信号通路富集并结合PubMed数据库结果,筛选出胃癌中未见或较少报...目的:应用Tandem mass tag(TMT)技术联合高内涵筛选(HCS)寻找潜在的胃癌相关基因。方法:利用TMT技术从胃癌及癌旁组织中筛选差异表达蛋白质,应用GO和KEGG数据库进行注释和信号通路富集并结合PubMed数据库结果,筛选出胃癌中未见或较少报道的上调目的基因。通过shRNA技术敲减基因,HCS技术比较敲减对细胞增殖的影响,筛选出肿瘤增殖相关基因并通过检测mRNA含量、克隆形成和CCK8进行验证。结果:通过TMT从胃癌和癌旁组织定量到差异表达蛋白1008个(上调649个,下调359个),25个目的基因敲减后HCS结果显示SF3B4敲减抑制细胞增殖,验证发现SF3B4是潜在的胃癌细胞增殖相关基因。结论:TMT技术结合HCS为肿瘤相关基因的筛选提供新的可能性。本研究提示SF3B4是潜在的胃癌增殖相关基因,为研究胃癌发生机制提供新线索。展开更多
This paper presents findings of an experiment for the comparison of sugar concentration in extracted juice of fresh fruit to that of commercially-bottled 100% fruit juice with a “no sugar added” attribute. The goal ...This paper presents findings of an experiment for the comparison of sugar concentration in extracted juice of fresh fruit to that of commercially-bottled 100% fruit juice with a “no sugar added” attribute. The goal of the study was to determine if the sugar content of bottled 100% fruit juice with a “no sugar added” label is equivalent to that of extracted juices of fresh fruits. The reported study was performed to address the potential concern that commercially-bottled 100% fruit juices with “no sugar added” may contain higher sugar content than extracted juice of fresh fruit. The fruit juices that were tested included apple, grapefruit, orange, pineapple, pomegranate, red grape and white grape. All bottled juices and fresh fruits were purchased in Toledo, Ohio, USA during the winter of 2012. The fresh fruits were juiced and three samples were tested for sugar concentration using a Brix refractometer. The same testing protocol was also applied to the bottled 100% fruit juice. Application of the Mann-Whitney test on the experimental data demonstrated no statistically significant difference (p > 0.05). The results suggested that the sugar content in the commercially bottled 100% fruit juice with the “no sugar added” label is an accurate representation of sugar content in the freshly-extracted juice of the corresponding fruit.展开更多
文摘目的:应用Tandem mass tag(TMT)技术联合高内涵筛选(HCS)寻找潜在的胃癌相关基因。方法:利用TMT技术从胃癌及癌旁组织中筛选差异表达蛋白质,应用GO和KEGG数据库进行注释和信号通路富集并结合PubMed数据库结果,筛选出胃癌中未见或较少报道的上调目的基因。通过shRNA技术敲减基因,HCS技术比较敲减对细胞增殖的影响,筛选出肿瘤增殖相关基因并通过检测mRNA含量、克隆形成和CCK8进行验证。结果:通过TMT从胃癌和癌旁组织定量到差异表达蛋白1008个(上调649个,下调359个),25个目的基因敲减后HCS结果显示SF3B4敲减抑制细胞增殖,验证发现SF3B4是潜在的胃癌细胞增殖相关基因。结论:TMT技术结合HCS为肿瘤相关基因的筛选提供新的可能性。本研究提示SF3B4是潜在的胃癌增殖相关基因,为研究胃癌发生机制提供新线索。
文摘This paper presents findings of an experiment for the comparison of sugar concentration in extracted juice of fresh fruit to that of commercially-bottled 100% fruit juice with a “no sugar added” attribute. The goal of the study was to determine if the sugar content of bottled 100% fruit juice with a “no sugar added” label is equivalent to that of extracted juices of fresh fruits. The reported study was performed to address the potential concern that commercially-bottled 100% fruit juices with “no sugar added” may contain higher sugar content than extracted juice of fresh fruit. The fruit juices that were tested included apple, grapefruit, orange, pineapple, pomegranate, red grape and white grape. All bottled juices and fresh fruits were purchased in Toledo, Ohio, USA during the winter of 2012. The fresh fruits were juiced and three samples were tested for sugar concentration using a Brix refractometer. The same testing protocol was also applied to the bottled 100% fruit juice. Application of the Mann-Whitney test on the experimental data demonstrated no statistically significant difference (p > 0.05). The results suggested that the sugar content in the commercially bottled 100% fruit juice with the “no sugar added” label is an accurate representation of sugar content in the freshly-extracted juice of the corresponding fruit.
文摘信息资源在分发共享过程中存在带宽拥塞、内容冗余等问题,播存网络借助"一点对无限点"的物理广播分发共享信息资源,对解决此类问题有独特优势.播存网络采用统一内容标签(uniform content label,UCL)适配用户兴趣和推荐信息资源,用户如何高效地获得自己感兴趣的UCL是播存网络中的关键问题.针对该问题,提出一种播存网络环境下的UCL协同过滤推荐方法(unifying collaborative filtering with popularity and timing,UCF-PT).首先,通过设定一对相似度阈值来计算用户与UCL数据的稀疏情况,根据稀疏情况决定二者对UCL评分的影响权值,并基于二者权值预测用户对UCL的评分,生成推荐结果集.其次,依据UCL热度调整推荐结果集的UCL顺序,从而使热门UCL更容易推荐给用户;最后提出UCL价值衰减函数,保证较新的UCL具备较高的推荐优先级.实验结果表明:与传统推荐方法相比,该方法不仅具有良好的推荐精度,还可保证所推荐UCL的热度与时效性,更适用于在播存网络环境下推荐UCL.
