An FPT approach for predicting protein localization from yeast genomic data

Accurately predicting the localization of proteins is of paramount importance in the quest to determine their respective functions within the cellular compartment. Because of the continuous and rapid progress in the fields of genomics and proteomics, more data are available now than ever before. Coincidentally, data mining methods been developed and refined in order to handle this experimental windfall, thus allowing the scientific community to quantitatively address long-standing questions such as that of protein localization. Here, we develop a frequent pattern tree (FPT) approach to generate a minimum set of rules (mFPT) for predicting protein localization. We acquire a series of rules according to the features of yeast genomic data. The mFPT prediction accuracy is benchmarked against other commonly used methods such as Bayesian networks and logistic regression under various statistical measures. Our results show that mFPT gave better performance than other approaches in predicting protein localization. Meanwhile, setting 0.65 as the minimum hit-rate, we obtained 138 proteins that mFPT predicted differently than the simple naive bayesian method (SNB). In our analysis of these 138 proteins, we present novel predictions for the location for 17 proteins, which currently do not have any defined localization. These predictions can serve as putative annotations and should provide preliminary clues for experimentalists. We also compared our predictions against the eukaryotic subcellular localization database and related predictions by others on protein localization. Our method is quite generalized and can thus be applied to discover the underlying rules for protein-protein interactions, genomic interactions, and structure-function relationships, as well as those of other fields of research.     

置换HN基因对新城疫病毒LaSota株致病力的影响

[目的]新城疫病毒的血凝素.神经氨酸酶(HN)和融合蛋白(F)在病毒装配、出芽、释放及侵入宿主细胞的过程中发挥关键作用,但HN对病毒致病力的影响程度尚不完全清楚.[方法]为探讨这一问题,本研究以中等毒力毒株Mukteswar的HN基因替换我国广泛应用的LaSota疫苗株HN基因,通过反向遗传操作技术拯救出嵌合病毒(rL-MuHN).[结果]rL-MuHN红细胞吸附能力较亲本株rLaSota无显著升高,具有相似的细胞融合活性;嵌合病毒ICPI由rLaSota株的0.36降为0,MDT≥90,IVPI=0与rLaSota株相同,保持典型低致病力缓发型特点不变.进一步以Mukteswar株F基因替换rL-MuHN的F基因,拯救出F和HN双基因替换嵌合病毒rL-MuFHN,尽管该病毒的细胞融合能力显著提高,但其MDT、ICPI和IVPI分别为98 h,0.59和0,显示F和HN双基因替换仍未能使嵌合新城疫病毒rL-MuFHN的致病力达到中等毒力毒株Mukteswar(MDT、ICPI及IVPI分别为46 h、1.32和0.64)的水平.[结论]试验结果表明,F及HN囊膜蛋白基因之外的病毒基因组骨架背景对病毒的致病性同样具有重要的决定性意义,不同HN蛋白对嵌合病毒的致病能力的影响不同,与供体毒株毒力无关;以流行野毒株HN替代rLaSota疫苗株构建抗原针对性更强的弱毒疫苗株存在技术可行性.     

新城疫病毒F蛋白碱裂解位点修饰及外源基因的插入对 新城疫LaSota疫苗株致病力的影响

新城疫是危害养禽业发展的重要传染病.新城疫病毒(NDV)具有高度传染性和高致病性,融合蛋白(F)的F1/F2裂解位点存在多个碱性氨基酸并由此形成的泛组织嗜性一直以来被认为是NDV致病的主要决定因素.本研究利用已经构建NDV弱毒LaSota疫苗株反向遗传操作平台,将LaSota病毒F蛋白的碱裂解位点由GGRQGR↓L分别突变为GRRQRR↓F和GRRQRR↓L,在未加入TPCK胰酶的情况下分别成功拯救出突变修饰LaSota疫苗病毒株rL-FmF和rL-FmL,通过测定鸡胚平均致死时间(MDT)、脑内致病指数(ICPI)和静脉内致病指数(IVPI)等指标对其毒力进行评估,结果rL-FmF和rL-FmL,的ICPI值由LaSota的0.36分别上升为1.18和1.05,但.MDT均大于90小时,IVPI仍然均为0,表明碱裂解位点的突变可显著增强致病力.为了检测外源基因插入对病毒致病力的影响,进一步以rL-FmF为载体,分别构建并拯救出表达H5亚型禽流感病毒血凝素HA和增强绿色荧光蛋白EGFP基因的重组病毒rL-FmF-HA和rL-FmF-EGFP,经测定ICPI分别为0.67和1.10,但MDT均大于90小时,IVPI仍然均为0.结果表明,对rLaSota病毒F蛋白裂解位点2个非碱性氨基酸突变为碱性氨基酸,无论F2蛋白氨基端为F或L,均可显著增强其脑内接种致病力,接近中发型毒株标准,但对静脉内接种致病能力均无显著影响,而对鸡胚致死能力均保持rIaSota病毒缓发型特点(MDT≥90);外源基因的重组、表达可不同程度致弱病毒,其致弱程度与外源基因及其表达产物性质有关.结果提示,影响NDV致病力不仅仅局限于F蛋白裂解位点氨基酸序列;通过F裂解位点修饰及HA基因插入可以获得致病力较高但基本接近缓发型标准的重组病毒.     

Distinct roles of α‐ and β‐tubulin polyglutamylation in controlling axonal transport and in neurodegeneration

Tubulin polyglutamylation is a post‐translational modification of the microtubule cytoskeleton, which is generated by a variety of enzymes with different specificities. The “tubulin code” hypothesis predicts that modifications generated by specific enzymes selectively control microtubule functions. Our recent finding that excessive accumulation of polyglutamylation in neurons causes their degeneration and perturbs axonal transport provides an opportunity for testing this hypothesis. By developing novel mouse models and a new glutamylation‐specific antibody, we demonstrate here that the glutamylases TTLL1 and TTLL7 generate unique and distinct glutamylation patterns on neuronal microtubules. We find that under physiological conditions, TTLL1 polyglutamylates α‐tubulin, while TTLL7 modifies β‐tubulin. TTLL1, but not TTLL7, catalyses the excessive hyperglutamylation found in mice lacking the deglutamylase CCP1. Consequently, deletion of TTLL1, but not of TTLL7, prevents degeneration of Purkinje cells and of myelinated axons in peripheral nerves in these mice. Moreover, loss of TTLL1 leads to increased mitochondria motility in neurons, while loss of TTLL7 has no such effect. By revealing how specific patterns of tubulin glutamylation, generated by distinct enzymes, translate into specific physiological and pathological readouts, we demonstrate the relevance of the tubulin code for homeostasis.     

Detecting the selection signatures in Chinese Duroc,Landrace, Yorkshire,Liangshan, and Qingyu pigs

Functional & Integrative Genomics - Here we used two kinds of chips data from 5 pig breeds, Chinese Duroc (DD), Landrace (LL), Yorkshire (YY), Liangshan (LS), and Qingyu pigs (QY) in China to...