湖北地区宫颈癌组织中人乳头瘤病毒16型E7基因的分离、克隆和序列分析

采用加端聚合酶链反应技术,从湖北地区一宫颈癌患者癌组织ＤＮＡ中分离出人乳头瘤病毒１６型（ＨＰＶ１６）Ｅ７基因,并在ｐＵＣ１８载体中克隆。经限制性核酸内切酶分析和ＤＮＡ序列分析,确认了含ＨＰＶ１６Ｅ７重组克隆质粒,命名ｐＨＰＶ１６Ｅ７─ＨＢ。ＤＮＡ序列分析表明,ＨＰＶ１６Ｅ７─ＨＢ基因全长２９４ｂｐ（与报道的标准株基因长度相同）,但其核苷酸顺序中有两处发生了Ｃ→Ｔ突变,即第４３位密码子ＣＡＡ变为ＴＡＡ,第７６位ＣＧＴ变为ＴＧＴ;前者使谷氨酰胺密码子变为终止密码,即无义奕变（ｎｏｎｓｅｎｓｅｍｕｔａｔｉｏｎ）。这种突变发生在２９４个碱基的ＤＮＡ扩增产物之中,不像是ＰＣＲ本身的错配,而很可能是湖北株与标准株之间的结构差异。     

中国乌蜂虻亚科二新种记述──（双翅目：蜂虹科）

本文记述乌蜂虹亚科Ｕｓｉｉｎａｅ２新种,分别隶属于Ｕｓｉａ（乌蜂虹属）和Ｐａｒａｇｅｒｏｎ（拟驼蜂虹属）,并对有关属的特征及分类情况作了概述。     

中国西藏种子植物区系新资料

本文报道了采自西藏喜马拉雅南坡的8个中国种子植物新记录种以及1个西藏新记录属。前者分别是吉隆牛奶菜(Marsdenia roylei)、塔基棕榈(Trachycarpus takil)、喀西蜂斗草(Sonerila khasiana)、旋花锡生藤(Cissampelos convolvulacea)、吉隆角盘兰(Herminium edgeworthii)、尼泊尔西番莲(Passiflora napalensis)、椭穗姜花(Hedychium ellipticum)和藏南象牙参(Roscoea brandisii); 1个西藏新记录属为箭药藤属(Belostemma) (箭药藤 Belostemma hirsutum)。凭证标本存放于中国科学院西双版纳热带植物园标本馆(HITBC)和西藏自治区高原生物研究所标本室(XZ)。     

基于集中参数模型的脑血管疾病数值模拟

脑血管疾病的血流动力研究一直是和脑血管疾病的预防和诊断密切相关的,由于脑部血流循环是一个四端输入的网络,其复杂性导致它的血液动力学规律和体循环有着本质的差别,讨论脑循环这模型和临床应用有着重要的意义,本文使用集中参数模型来模拟三种常见的脑血管疾病;脑动脉硬化,脑梗塞,锁骨下动脉盗血,考察其对相应脑血管的压力和流量的影响,结果显示脑部血液循环的代偿功能在发病情况下的重要作用,本文通过分析数值模拟结果,对不同疾病的血液动力学特征进行研究,给脑血管疾病的临床诊断提供血液动力学方面的参考。     

Novel Biomarkers for Non-functioning Invasive Pituitary Adenomas were Identified by Using Analysis of microRNAs Expression Profile

The microRNAs (miRNAs) are involved in multiple pathological processes among various types of tumors. However, the functions of miRNAs in benign brain tumors are largely unexplored. In order to explore the pathogenesis of the invasiveness in non-functional pituitary adenoma (NFPA), the miRNAs expression profile was analyzed between invasive and non-invasive non-functional pituitary adenoma by miRNAs microarray. Six most significant differentially expressed miRNAs were identified including four upregulated miRNAs hsa-miR-181b-5p, hsa-miR-181d, hsa-miR-191-3p, and hsa-miR-598 and two downregulated miRNAs hsa-miR-3676-5p and hsa-miR-383. The functions and corresponding signaling pathways of differentially expressed miRNAs were investigated by bioinformatics techniques, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The result of GO analysis indicates regulation of voltage-gated potassium channel activity, positive regulation of sodium ion transport, positive regulation of GTPase activity, negative regulation of Notch signaling pathway, etc. KEGG pathway reveals a series of biological processes, including prolactin signaling pathway, endocrine and other factor-regulated calcium reabsorption, fatty acid metabolism, neuroactive ligand-receptor interaction, etc. The miRNAs hsa-miR-181a-5p was verified by quantitative real-time PCR, and the expression level was in accordance with the microarray result. Our result can provide the evidence on featured miRNAs which play a prominent role in pituitary adenoma as effective biomarkers and therapeutic targets in the future.     

Removal of selectable marker gene from fibroblast cells in transgenic cloned cattle by transient expression of Cre recombinase and subsequent effects on recloned embryo development

Introduction of selectable marker genes to transgenic animals could create an inconvenience to further research and may exaggerate public concerns regarding biological safety. The objective of the current study was to excise loxP flanked neo^R in transgenic cloned cattle by transient expression of Cre recombinase. Green fluorescent protein gene (GFP) was incorporated to monitor Cre expression; therefore, Cre-expressed cells could be selected indirectly by fluorescence-activated cell sorting (FACS). The neo^R was removed and Cre expressed transiently in GFP-positive colonies; excision of neo^R was confirmed by single-blastocyst PCR in recloned blastocysts, with neo^R-free fibroblast cells as donors. There was no difference (P > 0.05) in rates of cleavage (76.0% vs. 68.8%) or blastocyst formation (56.6% vs. 52.9%) between recloned embryos with neo^R-free or neo^R-included donors. The differential staining of recloned blastocysts were similar (P >0.05) in terms of total cell number (124 vs. 122) and the ratio of ICM (Inner Cell Mass) to the total cell number (38.1% vs. 38.2%). Furthermore, pregnancy and calving rates were not different (P > 0.05) from those of the control. In conclusion, we successfully excised neo^R from transgenic cloned cattle; the manipulation did not affect the developmental competence of recloned preimplantation embryos. This approach should benefit bioreactor and transgenic research in livestock.     

Top-down modulations from dorsal stream in lexical recognition: an effective connectivity FMRI study

Both the ventral and dorsal visual streams in the human brain are known to be involved in reading. However, the interaction of these two pathways and their responses to different cognitive demands remains unclear. In this study, activation of neural pathways during Chinese character reading was acquired by using a functional magnetic resonance imaging (fMRI) technique. Visual-spatial analysis (mediated by the dorsal pathway) was disassociated from lexical recognition (mediated by the ventral pathway) via a spatial-based lexical decision task and effective connectivity analysis. Connectivity results revealed that, during spatial processing, the left superior parietal lobule (SPL) positively modulated the left fusiform gyrus (FG), while during lexical processing, the left SPL received positive modulatory input from the left inferior frontal gyrus (IFG) and sent negative modulatory output to the left FG. These findings suggest that the dorsal stream is highly involved in lexical recognition and acts as a top-down modulator for lexical processing.     

Multi-class protein fold recognition using support vector machines and neural networks

MOTIVATION: Protein fold recognition is an important approach to structure discovery without relying on sequence similarity. We study this approach with new multi-class classification methods and examined many issues important for a practical recognition system. RESULTS: Most current discriminative methods for protein fold prediction use the one-against-others method, which has the well-known 'False Positives' problem. We investigated two new methods: the unique one-against-others and the all-against-all methods. Both improve prediction accuracy by 14-110% on a dataset containing 27 SCOP folds. We used the Support Vector Machine (SVM) and the Neural Network (NN) learning methods as base classifiers. SVMs converges fast and leads to high accuracy. When scores of multiple parameter datasets are combined, majority voting reduces noise and increases recognition accuracy. We examined many issues involved with large number of classes, including dependencies of prediction accuracy on the number of folds and on the number of representatives in a fold. Overall, recognition systems achieve 56% fold prediction accuracy on a protein test dataset, where most of the proteins have below 25% sequence identity with the proteins used in training.     

New species of Nepalomyia henanensis species group from China(Diptera: Dolichopodidae: Peloropeodinae)

Three new species of Nepalomyia henanensis species group are described from China, N. damingshanus sp. nov., N. dongae sp. nov., and N. shennongjiaensis sp. nov. A key to known species of this species group is presented.