烟芽夜蛾囊泡病毒3h株编码的3H-117蛋白能干扰AcMNPV的口服活性

[目的]囊泡病毒是一类体液传播的昆虫病毒,具有特殊的致病历程和良好的生防应用潜力.烟芽夜蛾囊泡病毒3h株(Heliothis virescens ascovirus 3h,HvAV-3h)是我国分离的第一株囊泡病毒,其编码的3H-117蛋白被报道为HvAV-3h病毒粒子的结构蛋白.[方法]为了进一步探究3h-117基因...     

SLC1A3 promotes gastric cancer progression via the PI3K/AKT signalling pathway

Gastric cancer is a major cause of mortality worldwide. The glutamate/aspartate transporter SLC1A3 has been implicated in tumour metabolism and progression, but the roles of SLC1A3 in gastric cancer remain unclear. We used bioinformatics approaches to analyse the expression of SLC1A3 and its role in gastric cancer. The expression levels of SLC1A3 were examined using RT‐qPCR and Western bolting. SLC1A3 overexpressing and knock‐down cell lines were constructed, and the cell viability was evaluated. Glucose consumption, lactate excretion and ATP levels were determined. The roles of SLC1A3 in tumour growth were evaluated using a xenograft tumour growth model. SLC1A3 was found to be overexpressed in gastric cancer, and this overexpression was associated with poor prognosis. In vitro and in vivo assays showed that SLC1A3 affected glucose metabolism and promoted gastric cancer growth. GSEA analysis suggested that SLC1A3 was positively associated with the up‐regulation of the PI3K/AKT pathway. SLC1A3 overexpression activated the PI3K/AKT pathway and up‐regulated GLUT1, HK II and LDHA expression. The PI3K/AKT inhibitor LY294002 prevented SLC1A3‐induced glucose metabolism and cell proliferation. Our findings indicate that SLC1A3 promotes gastric cancer progression via the PI3K/AKT signalling pathway. SLC1A3 is therefore a potential therapeutic target in gastric cancer.     

Biological significance of piRNA in liver cancer: a review

Abstract

Liver cancer is one of the most common and deadly cancers in the world. In recent years, non-coding RNA has been a hot topic in liver cancer research. piRNAs (PIWI-interacting RNAs) are a new type of small non-coding RNA, which are formed by the PIWI proteins interacting with RNA. The latest research shows that piRNA and PIWI proteins are abnormally expressed in various cancers, including pancreatic, colorectal, breast, etc. piRNA plays an important regulatory role in liver cancer. In this review, we discuss the biological function of piRNAs and new progress in the development of liver cancer, and new targets and ideas for piRNA and PIWI proteins in the diagnosis and treatment of liver cancer.     

陕西省生态恢复综合效益评估

开展区域内生态恢复综合效益评估工作,将为地区生态恢复成果梳理及生态系统管理提供决策支持,为未来生态恢复工作的开展提供理论依据。以陕西省为研究区,基于空间遥感数据和生态模型模拟,从生态系统结构、质量和服务3个方面综合评估区域内2000-2015年生态恢复效益。研究结果表明：1）近16年间陕西省土地利用类型呈现林地增加,耕地减少的态势,同时关中地区建设用地大量增加。陕西省87.95%和72.72%的区域分别呈现植被覆盖和生态系统服务总值增加的趋势,尽管区域内人类活动占地增加,但整体生态恢复效果明显。2）陕南地区植被覆盖及生态系统服务总值相对较高,特别是秦岭地区,生态环境较为优越。陕北地区植被覆盖及生态系统服务均值虽相对较低,但均呈现显著增加趋势,未来区域范围内生态环境有着较大的发展潜力。3）尽管不同生态工程基本覆盖了陕西省全境,但受气象因素影响,生态系统服务总值在关中及陕南地区仍呈现出了一定的下降趋势。在未来相关区域的生态恢复资源投入中,应注意干旱环境对生态恢复效果的影响,因地制宜地选取适宜生态工程措施,以保证生态恢复的有效性和持续性,将生态恢复资源的成效最大化。     

In situ bioremediation of petroleum hydrocarbon–contaminated soil: isolation and application of a Rhodococcus strain

International Microbiology - Due to low consumption and high efficiency, in situ microbial remediation of petroleum hydrocarbons (PHs)-contaminated sites in in-service petrochemical enterprises has...     

Identification of RNA-binding sites in proteins by integrating various sequence information

RNA–protein interactions play a pivotal role in various biological processes, such as mRNA processing, protein synthesis, assembly, and function of ribosome. In this work, we have introduced a computational method for predicting RNA-binding sites in proteins based on support vector machines by using a variety of features from amino acid sequence information including position-specific scoring matrix (PSSM) profiles, physicochemical properties and predicted solvent accessibility. Considering the influence of the surrounding residues of an amino acid and the dependency effect from the neighboring amino acids, a sliding window and a smoothing window are used to encode the PSSM profiles. The outer fivefold cross-validation method is evaluated on the data set of 77 RNA-binding proteins (RBP77). It achieves an overall accuracy of 88.66% with the Matthew’s correlation coefficient (MCC) of 0.69. Furthermore, an independent data set of 39 RNA-binding proteins (RBP39) is employed to further evaluate the performance and achieves an overall accuracy of 82.36% with the MCC of 0.44. The result shows that our method has good generalization abilities in predicting RNA-binding sites for novel proteins. Compared with other previous methods, our method performs well on the same data set. The prediction results suggest that the used features are effective in predicting RNA-binding sites in proteins. The code and all data sets used in this article are freely available at .