广州地区急性散发性HEV毒株基因特征和生物学性状的研究

利用ＲＴ－ＰＣＲ技术对我国广州地区急性性戊型肝炎病毒细胞培养分离株Ｇ９３－１、Ｇ９３－２、Ｇ９３－３和Ｇ９３－４基因组聚合酶区部分核苷序列进行检测,ＰＣＲ阳性产物经纯化、克隆后测定。结果Ｇ９３－１、Ｇ９３－３和Ｇ９３－４株病毒的这段序列完全相同,且与我国新疆暴发流行的ＨＥＶ８７Ａ株及ＨＥＶ代表株的同源性为１００％;而Ｇ９３－２株与它们的差异较大,同源性只有７９．９％;但是,它与１９９７年厦门地区急     

A Predictive Framework for Integrating Disparate Genomic Data Types Using Sample-Specific Gene Set Enrichment Analysis and Multi-Task Learning

Understanding the root molecular and genetic causes driving complex traits is a fundamental challenge in genomics and genetics. Numerous studies have used variation in gene expression to understand complex traits, but the underlying genomic variation that contributes to these expression changes is not well understood. In this study, we developed a framework to integrate gene expression and genotype data to identify biological differences between samples from opposing complex trait classes that are driven by expression changes and genotypic variation. This framework utilizes pathway analysis and multi-task learning to build a predictive model and discover pathways relevant to the complex trait of interest. We simulated expression and genotype data to test the predictive ability of our framework and to measure how well it uncovered pathways with genes both differentially expressed and genetically associated with a complex trait. We found that the predictive performance of the multi-task model was comparable to other similar methods. Also, methods like multi-task learning that considered enrichment analysis scores from both data sets found pathways with both genetic and expression differences related to the phenotype. We used our framework to analyze differences between estrogen receptor (ER) positive and negative breast cancer samples. An analysis of the top 15 gene sets from the multi-task model showed they were all related to estrogen, steroids, cell signaling, or the cell cycle. Although our study suggests that multi-task learning does not enhance predictive accuracy, the models generated by our framework do provide valuable biological pathway knowledge for complex traits.     

Structural modulation of gut microbiota during alleviation of type 2 diabetes with a Chinese herbal formula

The gut microbiota is hypothesized to have a critical role in metabolic diseases, including type 2 diabetes (T2D). A traditional Chinese herbal formula, Gegen Qinlian Decoction (GQD), can alleviate T2D. To find out whether GQD modulates the composition of the gut microbiota during T2D treatment, 187 T2D patients were randomly allocated to receive high (HD, n=44), moderate (MD, n=52), low dose GQD (LD, n=50) or the placebo (n=41) for 12 weeks in a double-blinded trial. Patients who received the HD or MD demonstrated significant reductions in adjusted mean changes from baseline of fasting blood glucose (FBG) and glycated hemoglobin (HbA1c) compared with the placebo and LD groups. Pyrosequencing of the V3 regions of 16S rRNA genes revealed a dose-dependent deviation of gut microbiota in response to GQD treatment. This deviation occurred before significant improvement of T2D symptoms was observed. Redundancy analysis identified 47 GQD-enriched species level phylotypes, 17 of which were negatively correlated with FBG and 9 with HbA1c. Real-time quantitative PCR confirmed that GQD significantly enriched Faecalibacterium prausnitzii, which was negatively correlated with FBG, HbA1c and 2-h postprandial blood glucose levels and positively correlated with homeostasis model assessment of β-cell function. Therefore, these data indicate that structural changes of gut microbiota are induced by Chinese herbal formula GQD. Specifically, GQD treatment may enrich the amounts of beneficial bacteria, such as Faecalibacterium spp. In conclusion, changes in the gut microbiota are associated with the anti-diabetic effects of GQD.     

梅花类黄酮3′-羟化酶基因片段基于基因组DNA的简并PCR法克隆

用该研究设计的“预先去杂-SDS法”从梅花嫩叶提取到高质量的基因组DNA。根据11条已公开发表的并提交到GenBank的类黄酮3＇-羟化酶基因cDNA的假定氨基酸序列的保守区设计2个正向简并引物和3个反向简并引物组成6对引物,仅有1对引物能以PCR法同时从梅花‘南京红须’、‘南京红’和‘粉皮宫粉’的基因组DNA扩增到一个469bp的核苷酸片段,这3个片段在总体上有99．72％的一致性,与11条类黄酮3＇-羟化酶基因cDNA的相应区域有65．57％的一致性。同时,“GGEK”并非类黄酮3＇-羟化酶的特征性模体。这是首次从木本植物的基因组DNA克隆到类黄酮3＇-羟化酶基因片段。该研究结果可为梅花类黄酮3＇-羟化酶基因全长的克隆奠定基础。     

飞行员中血管紧张素转换酶基因插入或缺失多态性研究

为了解飞行员血管紧张素转换酶(ACE)基因插入或缺失（I/D）多态性情况,探讨ACE基因多态性与飞行员耐力可能的关系,用聚合酶链反应（PCR）扩增技术检测118例飞行员和96例健康对照者的ACE基因I/D多态性。 结果位于ACE基因内含子16的I/D多态性经PCR扩增后呈三种基因型：纯合子插入型（II）、纯合子缺失型（DD）和杂合子插入或缺失型（I/D）。飞行员组II基因型（44.07%）和I等位基因频率（0.65）显著高于健康对照组(分别为31.25%和0.52)。 结果表明ACE I基因有可能在飞行员的飞行耐力中起重要作用。 Abstract:In order to understand insertion/delation (I/D) polymorphism of the angiotensin-converting enzyme (ACE) gene in pilots,and to explore the relationship between ACE gene I/D polymorphism and the perfomance of the pilots,the polymerase chain reaction (PCR) was used to determine the genotypes for an I/D polymorphism in intron 16 of the ACE gene in 118 pilots and 96 healthy subjects as controls.The result showed that the I/D polymorphism in intron 16 of the ACE gene was categorized into three genotypes: two deletion alleles (genotype DD),heterozygous alleles (genotype ID),and two insertion alleles (genotype II).The genotype II and I allele frequency were significantly higher in pilots (44.07% and 0.65) than that in healthy subjects (31.25% and 0.52).It is suggested that I gene of ACE may play a role in perfomance of the pilots.     

膜翅目精子结构研究新进展

根据观察,膜翅目昆虫精子由顶体,精核,中部,尾部四个主要部分构成。顶体具顶体丝,中部具轴丝,中部与精核间具线粒体衍生物。本文同时对膜翅目,分别隶属12个科,10个总科中的2个亚目昆虫精子的顶体、精核、线粒体衍生物、轴丝等结构的研究状况进行概括,并应用精子结构特征对上述类群的系统发育状况进行讨论。     

Association between Tumor Necrosis Factor-α 308G/A Gene Polymorphism and Silicosis Susceptibility: A Meta-Analysis

Background

Tumor necrosis factor-α (TNF-α) 308 G/A gene polymorphism has been reported to be associated with susceptibility to silicosis. However, the relevant study results are still inconsistent.

Objective and Methods

A meta-analysis was performed in order to drive a more precise estimation of the relationship between TNF-α-308 G/A gene polymorphism and susceptibility to silicosis. Electronic databases were searched and nine separate studies were included. The pooled odds ratios (ORs) and the corresponding 95% confidence internal (CI) were calculated by a fixed effect model.

Results

A total of 1267 cases and 1214 controls were included. In the overall analysis, significantly increased silicosis risk was found (for GA+AA vs. GG OR=1.45, 95%CI: 1.20-1.760, P=1.58E4; for GA vs. GG: OR=1.53, 95%CI=1.25-1.86, P=3.11E5; for A allele vs. G allele: OR=1.27, 95%CI=1.08-1.50, P= 0.004). In the subgroup analysis, significantly increased silicosis risk was also found among Asians (for GA+AA vs. GG: OR=1.63, 95%CI=1.27-2.08, P=1.01E4), for GA vs. GG: OR=1.71, 95%CI=1.33-2.20, P=3.44E5), for A allele vs. G allele: OR=1.45, 95%CI=1.17-1.80, P=0.001). However, no significantly increased risk was found among non-Asians for all genetic models.

Conclusions

TNF-α-308 G/A polymorphism might lead to an increased risk of silicosis susceptibility, especially for Asians. However, further studies with large sample sizes should be conducted to confirm the association.