BIOGRAPHY OF PROFESSOR ZHEN YAO

Professor Zhen YAO, Ph.D., a distinguished cell biologist and a Member of the Chinese Academy of Sciences, Editor-in-Chief of Cell Research, passed away at 9：55 am on November 4^th, 2005 in Shanghai at the age of 90. He is survived by his wife, Jing DING, his son Li Xing YAO, and granddaughter, Qin Yi YAO.     

细菌RNA分离试剂盒

Bioscience Technology 2003年7月31页报道：美国Amersham Biosciences公司最近推出GenomiPhi^TM DNA扩增试剂盒。利用这种试剂盒可从有限的生物材料制备高质量的DNA。这是一种简单的等温扩增技术，它不需要使用热循环器。原材料可以是来自全血、颊面拭子、细胞印迹纸、     

表皮生长因子受体基因突变检测方法改进及初步临床验证

目的:改进现有的检测表皮生长因子受体(EGFR)基因突变的荧光PCR法并开发出新的试剂盒,将其与直接测序法和ARMS法进行对比,验证该试剂盒用于临床诊断的敏感性、特异性和准确性。方法:收集2013年6月至2015年8月手术确诊的141例非小细胞肺癌(NSCLC)的石蜡包埋组织标本。采用盲法分别使用直接测序法、ARMS法和新试剂盒检测EGFR突变,比较新试剂盒与其他两种检测方法的差异,结果不一致时采用三种方法分别重复检验一次。结果:三种方法检测成功率均为100%,新试剂盒与直接测序法测得结果完全一致的比率达75.9%(107/141),在直接测序法测得的96例突变阳性中,92例在新试剂盒检测中得到验证(95.8%)。而直接测序法显示突变阴性的45例中,新试剂盒检测发现了23例突变阳性,两种检测方法的结果存在统计学差异(x2=40.745,P0.05)。与直接测序法进行比较,新试剂盒检测EGFR突变的敏感性、特异性分别为95.8%、48.9%,阳性预测值、阴性预测值分别为80.0%、84.6%,检测准确度为80.9%。以ARMS检测法为金标准,新试剂盒测得结果完全一致的比率达84.4%(119/141),两者的一致性比较好(K=0.749,P0.05),敏感性、特异性分别为94.1%、86.4%。结论:改进后EGFR基因突变检测的试剂盒在技术上较好地控制了检测结果的假阳性和假阴性,该检测方法较直接测序法具有更好的敏感性和准确性,与现有的ARMS法一致性较高。     

The relationship between the reduction of nonstructural carbohydrate induced by defoliator and the growth and mortality of trees

Large scale herbivorous insect outbreaks can cause death of regional forests, and the events are expected to be exacerbated with climate change. Mortality of forest and woodland plants would cause a series of serious consequences, such as decrease in vegetation production, shifts in ecosystem structure and function, and transformation of forest function from a net carbon sink into a net carbon source. There is thus a need to better understand the impact of insects on trees. Defoliation by insect pests mainly reduces photosynthesis (source decrease) and increases carbon consumption (sink increase), and hence causes reduction of nonstructural carbohydrate (NSC). When the reduction in NSC reaches to a certain level, trees would die of carbon starvation. External environment and internal compensatory mechanisms can also positively or negatively influence the process of tree death. At present, the research of carbon starvation is a hotspot because the increase of tree mortality globally with climate change, and carbon starvation is considered as one of the dominating physiological mechanisms for explaining tree death. In this study, we reviewed the definition of carbon starvation, and the relationships between the reduction of NSC induced by defoliation and the growth and death of trees, and the relationships among insect outbreaks, leaf loss and climate change. We also presented the potential directions of future studies on insect-caused defoliation and tree mortality.