A new disease-specific machine learning approach for the prediction of cancer-causing missense variants

High-throughput genotyping and sequencing techniques are rapidly and inexpensively providing large amounts of human genetic variation data. Single Nucleotide Polymorphisms (SNPs) are an important source of human genome variability and have been implicated in several human diseases, including cancer. Amino acid mutations resulting from non-synonymous SNPs in coding regions may generate protein functional changes that affect cell proliferation. In this study, we developed a machine learning approach to predict cancer-causing missense variants. We present a Support Vector Machine (SVM) classifier trained on a set of 3163 cancer-causing variants and an equal number of neutral polymorphisms. The method achieve 93% overall accuracy, a correlation coefficient of 0.86, and area under ROC curve of 0.98. When compared with other previously developed algorithms such as SIFT and CHASM our method results in higher prediction accuracy and correlation coefficient in identifying cancer-causing variants.     

基于RNA-Seq数据识别果蝇剪接位点和可变剪接事件

完整基因结构的预测是当前生命科学研究的一个重要基础课题,其中一个关键环节是剪接位点和各种可变剪接事件的精确识别.基于转录组测序（RNA-seq）数据,识别剪接位点和可变剪接事件是近几年随着新一代测序技术发展起来的新技术策略和方法.本工作基于黑腹果蝇睾丸RNA-seq数据,使用TopHat软件成功识别出39718个果蝇剪接位点,其中有10584个新剪接位点.同时,基于剪接位点的不同组合,针对各类型可变剪接特征开发出计算识别算法,成功识别了8477个可变剪接事件（其中新识别的可变剪接事件3922个）,包括可变供体位点、可变受体位点、内含子保留和外显子缺失4种类型.RT-PCR实验验证了2个果蝇基因上新识别的可变剪接事件,发现了全新的剪接异构体.进一步表明,RNA-seq数据可有效应用于识别剪接位点和可变剪接事件,为深入揭示剪接机制及可变剪接生物学功能提供新思路和新手段.     

选择性剪接的理论预测

可变剪接作为真核生物转录后加工机制普遍存在于不同组织、不同发育时期或不同病理状态下的基因表达调控过程中。对同一基因不同剪接变体的研究可使我们更深入的了解发育、进化、疾病发生机理等基本的生物学问题。讨论了一些基于序列比对而建立的可变剪接的理论预测方法,尚存不足之处,有待于进一步完善。     

新疆阿克苏地区一株羊源沙门菌及其小菌落变异株的生物学特性

【背景】小菌落变异株(smallcolonyvariant,SCV)是一种具有独特的表型及致病特征且生长缓慢的细菌亚群,而国内鲜有关于食源性沙门菌SCV的研究报道。【目的】为食源性沙门菌的防治及动物性食品安全提供实验数据。【方法】使用氨基糖苷类抗生素对羊源胆汁中分离的沙门菌进行实验室诱导得到SCV,然后分别对野生株和诱导株的菌落形态、生长、生化特性、营养缺陷型检测、运动性、耐药性检测及耐药基因、毒力基因、生物被膜形成能力进行比较和分析。【结果】经卡那霉素诱导获得一株血红素依赖型沙门菌SCV,与野生株相比,诱导株生长缓慢,低于野生株84%,不利用柠檬酸盐,溶血能力增强40%,对磺胺类和氨基糖苷类药物的耐受性增强,生物被膜形成能力减弱45%,运动能力减弱78%。【结论】沙门菌SCV的生长和生理生化特性与野生株相比有显著差异,使得沙门菌SCV的分离鉴定尤为困难;并且SCV的致病性与耐药性等方面的变化可能给沙门菌病的防治带来更大挑战,其机制还有待深入研究。     

BLOCKING ENDOCYTOSIS IN DROSOPHILA'S CIRCADIAN PACEMAKER NEURONS INTERFERES WITH THE ENDOGENOUS CLOCK IN A PDF-DEPENDENT WAY

The neuropeptide pigment-dispersing factor (PDF) plays an essential role in the circadian clock of the fruit fly Drosophila melanogaster, but many details of PDF signaling in the clock network are still unknown. We tried to interfere with PDF signaling by blocking the GTPase Shibire in PDF neurons. Shibire is an ortholog of the mammalian Dynamins and is essential for endocytosis of clathrin-coated vesicles at the plasma membrane. Such endocytosis is used for neurotransmitter reuptake by presynaptic neurons, which is a prerequisite of synaptic vesicle recycling, and receptor-mediated endocytosis in the postsynaptic neuron, which leads to signal termination. By blocking Shibire function via overexpression of a dominant negative mutant form of Shibire in PDF neurons, we slowed down the behavioral rhythm by 3?h. This effect was absent in PDF receptor null mutants, indicating that we interfered with PDF receptor-mediated endocytosis. Because we obtained similar behavioral phenotypes by increasing the PDF level in regions close to PDF neurons, we conclude that blocking Shibire did prolong PDF signaling in the neurons that respond to PDF. Obviously, terminating the PDF signaling via receptor-mediated endocytosis is a crucial step in determining the period of behavioral rhythms. (Author correspondence: charlotte.foerster@biologie.uni-regensburg.de)