猪瘟病毒复合多表位抗原基因的克隆表达及其免疫学特性

为研究猪瘟病毒多表位疫苗,参照GenBank及文献中已发表的猪瘟病毒抗原表位,结合计算机分析软件进行优化和组合。将重组的多表位基因BT23人工合成克隆至pMD18-T质粒中,利用BamHⅠ和EcoRⅠ双酶切并回收BT23基因,将BT23基因片段亚克隆插入pGEX-6P-1表达载体中,构建了猪瘟病毒复合多表位抗原基因的原核表达质粒pGEX-BT23,经酶切和测序鉴定正确后转化感受态细胞BL21(DE3),并进行了IPTG诱导表达。经SDS-PAGE分析,以终浓度为0.9mmol/L的IPTG进行诱导,8h后表达量最高,表达产物为融合蛋白,并且以包涵体形式存在,分子质量约36ku,表达产量约占菌体总蛋白的30%。Western-blot检测结果表明,表达的融合蛋白能与猪瘟病毒阳性血清发生特异性反应,说明表达产物具有良好的反应原性。免疫攻毒试验结果表明,复合多表位融合蛋白具有免疫保护作用,这为应用该融合蛋白制备猪瘟病毒免疫血清学诊断试剂和多表位疫苗的研究奠定了基础。     

柔嫩艾美耳球虫DF-1细胞培养体系的建立及应用

为了建立柔嫩艾美耳球虫的鸡胚成纤维传代细胞(DF-1)培养体系,并应用于柔嫩艾美耳球虫子孢子的细胞入侵活力检测,将CFDA-SE标记的子孢子接入DF-1细胞,利用流式细胞仪测定子孢子的细胞入侵活力。比较了37℃和41℃培养温度下,子孢子对DF-1、MDBK、Vero、BHK、MDCK五种细胞的入侵活力。优化了在子孢子入侵活力检测时,DF-1细胞最佳培养条件。结果表明,柔嫩艾美耳球虫子孢子在DF-1细胞中可发育为第一代裂殖子。在不同培养温度下,子孢子对DF-1细胞的入侵活力均高于其他细胞。优化后的DF-1细胞培养体系的培养程序为:用含100mL/L胎牛血清的DMEM稀释DF-1细胞,以每孔1×105个细胞铺被24孔板,37℃、50mL/L CO2培养24h后,用含50mL/L胎牛血清的DMEM换液后,每孔接入3×105个子孢子,41℃、50mL/L CO2培养8～12h,收集细胞进行检测。     

Digital traces and physical activities: opportunities,challenges and pitfalls

The strong integration of consumer electronics in everyday life offers many new investigative opportunities. In particular, digital traces from smartphones, smartwatches and activity trackers can now increasingly be used to infer information about actions performed by their users in the physical world that might not be obtainable from any other types of forensic evidence.While potentially very valuable from an investigative perspective, making forensically justifiable statements about such traces can sometimes be more difficult than expected. Requirements for this have not yet received much attention in the digital forensic literature. To help filling this gap, we describe the principles we use in determining the evidential value of such traces, which emphasize the need for experimental verification. For such research, aimed at determining the evidential value of these traces, we coin the term data2activity.In this paper, we devote attention to the potential and limitations of data2activity traces, focusing on challenges and giving two examples to illustrate potential pitfalls in interpreting data. Finally, future research directions into data2activity traces are indicated that, in our opinion, should be given attention. These include development of future-proof data acquisition and storage methodology, enabling division-of-effort and sharing of information, as well as development of labeling methodology for free-living experiments.