Development and validation of robust metabolism-related gene signature in the prognostic prediction of hepatocellular carcinoma

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.     

厉螨科－新属及二新种（蜱螨亚纲：革螨股）

本文记述厉螨科一新属,邓厉螨属Ｔｅｎｇｉｌａｅｌａｐｓｇｅｎ．ｎｏｖ,其主要特征;角化较强,体毛壮,背毛２９对;颚角粗钝,具纵裂;头盖尖角形;胸板六角形,各角均尖突;殖腹板毛１对;各足股、膝节上均具长毛、模式种为天牛邓厉螨,新种Ｔｅｎｇｉｌａｅｌａｐｓｃｅｒａｍｂｙｃｉｕｓｓｐ．ｎｏｖ。另一新种为副单阳厉螨ＡｎｄｒｏｌａｅｌａｐｓＰａｒａｓｉｎｇｕｌａｒｉｓｓｐ．ｎｏｖ。模式标本均采自云南省的甲虫体上。     

中国土厉螨属一新种（蜱螨亚纲：厉螨科）

本文记述中国土厉螨属１新种,王氏土厉螨Ｏｌｏｌａｅｌｅｐｓｗａｎｇｉ,ｓｐ．ｎｏｖ,新种的模式标本保存在宁夏回族自治区地方病防治所。     

巢式设计的多元分析

本文把经典巢式设计的统计分析方法由单变量推广到多变量,使得试验或调查的多性状数据能综合在一起进行分析,以得出考虑了性状间相关性在内的统计结论并用一烟草栽培试验数据示明具体步骤。     

一种水稻卷叶性状的遗传分析

对水稻卷叶品种流岗卷叶粳与4个平展叶品种及1个卷叶标志基因(rl3)系的杂交或回交后代进行了考察。结果表明,流岗卷叶粳的卷叶特性以单基因不完全显性方式遗传; 该基因与rl3基因不等位,当rl3位点处于隐性纯合时两者以累加方式发生互作。这一等位基因可作标志基因使用,暂定名为Rl(t)。 Abstract:Liugangjuanyejing is a rolled leaf mutant of rice.A genetic study on the rolled-leaf character was carried out by crossing it with four flat-leaf cultivars and a genetic marker line (with a rolled-leaf allele rl3).The results showed that this character was controlled by an incomplete dominant gene which was non-allelic to rl3 locus and that there existed additive effect between the two loci when the rl3 locus was homozygous recessiveness.This new rolled-leaf allele was provisionally named as Rl(t) and could be used as a genetic marker of rice.     

银川异伊螨新种记述（蜱螨亚纲：犹伊螨科）

本文记述一新种,即银川异伊螨。标本采自银川市日本埋葬虫体上,文中列表比较了相近种长沟异伊螨和玉溪异伊螨的区别。     

角绥螨属在中国首次发现及一新种记述（蜱螨亚纲：囊螨科）

本文记述角绥螨属一新种,中华角绥螨Ａｎｔｅｎｎｏｓｅｉｕｓ ｓｉｎｉｃｕｓ ｓｐ．ｎｏｖ．,标本采自云南剑川县大绒鼠巢中。该属在中国尚系首次发现。     

氯喹导致大鼠肌组织载脂蛋白E大量表达

载脂蛋白E(ApoE)与迟发的家族性及孤发性阿尔茨海默(Alzheimer)病密切相关. 氯喹慢性中毒可诱发某些肌病理改变, 出现β淀粉样蛋白(βAP)与tau蛋白等的沉积, 与Alzheimer脑中见到的病理改变类似. 为分析这一改变的机制, 用逆转录结合多聚酶链反应技术(RT-PCR)对氯喹处理的大鼠肌肉中ApoE表达的改变进行了研究. 在PCR定量中采用了一种稳定表达的内源性甘油醛-3-磷酸脱氢酶mRNA作为内部参照. PCR扩增在很宽的循环数范围内成线性, 且靶mRNA与参照mRNA的扩增效率相当. 氯喹处理后大鼠肌肉中ApoE mRNA的表达从第6周开始增加, 第8周后超过对照组的20多倍. 结果提示, ApoE在氯喹慢性中毒所致的大鼠肌病理改变中发挥某些作用.     

兔感觉神经特异蛋白的纯化及稳定性观察

以兔脊神经节及背根纤维为材料,通过制备匀浆,DEAE-Sephacel阴离子交换层析,高压液相凝胶过滤层析分离纯化了感觉神经特异蛋白29 ku,并进行了该蛋白的稳定性观察.