Five genes as a novel signature for predicting the prognosis of patients with laryngeal cancer

In this study, we purpose to investigate a novel five-gene signature for predicting the prognosis of patients with laryngeal cancer. The laryngeal cancer datasets were obtained from The Cancer Genome Atlas (TCGA). Both univariate and multivariate Cox regression analysis was applied to screening for prognostic differential expressed genes (DEGs), and a novel gene signature was obtained. The performance of this Cox regression model was tested by receiver operating characteristic (ROC) curves and area under the curve (AUC). Further survival analysis for each of the five genes was carried out through the Kaplan-Meier curve and Log-rank test. Totally, 622 DEGs were screened from the TCGA datasets in this study. We construct a five-gene signature through Cox survival analysis. Patients were divided into low- and high-risk groups depending on the median risk score, and a significant difference of the 5-year overall survival was found between these two groups (P < .05). ROC curves verified that this five-gene signature had good performance to predict the prognosis of laryngeal cancer (AUC = 0.862, P < .05). In conclusion, the five-gene signature consist of EMP1, HOXB9, DPY19L2P1, MMP1, and KLHDC7B might be applied as an independent prognosis predictor of laryngeal cancer.     

Retracted: Kinesin family member 2C aggravates the progression of hepatocellular carcinoma and interacts with competing endogenous RNA

Kinesin family member 2C (KIF2C), a substantial mitotic regulator, has been verified to exert a malignant function in several cancers. However, its function in hepatocellular carcinoma (HCC) remains unclear. In this study, the expression profile of KIF2C in HCC was characterized through the dataset from the TCGA and clinical tissue microarrays containing 220 pairs of resected HCC tissues and adjacent nontumor tissues in our hospital. The results indicated that KIF2C was substantially higher expression in tumor tissues than adjacent nontumor tissues. High expression of KIF2C significantly correlated with large tumor (>5.0 cm) (P = .001) and implied a dismal postoperative overall survival (OS) (hazard ratio [HR] = 1.729; P = .002) in our cohort of patients. Gain and loss of function assays displayed that KIF2C promoted HCC cell proliferation, accelerated cell cycle progression, and impeded apoptosis. By bioinformatic tools and mechanistic investigation, we found that KIF2C interacted with various cell-cycle-related proteins and was significantly involved in growth-promoting pathways. KIF2C upregulated PCNA and CDC20 expression. Subsequently, we investigated the regulation of KIF2C by competing endogenous RNA and elucidated that has-miR-6715a-3p was directly bond to the 3′-untranslated region of KIF2C through dual luciferase assays, thereby inhibiting KIF2C expression. Furthermore, the long noncoding RNA GS1-358P8.4 was found to be a candidate of KIF2C for has-miR-6715a-3p binding. HCC patients with high lncRNA-GS1-358P8.4 expression had shorter OS and relapse-free survival compared to those with low expression, which was accordance with the KIF2C. Taken together, KIC2C aggravated HCC progression, it could serve as a prognostic indicator and confer a novel target for clinical treatment.     

环境变异对青稞热稳定蛋白质含量及蛋白质Z的影响

热稳定蛋白是衡量麦芽品质的重要指标,为探明青稞籽粒和麦芽热稳定蛋白的含量、蛋白质Z的组成特征以及影响条件。本研究以3份青稞和1份对照大麦品种Gairdner为试验材料,对青稞籽粒及其麦芽的热稳定蛋白进行分析与鉴定,研究了不同生态环境下青稞热稳定蛋白质含量和蛋白质Z的组成特征,同时筛选出了优异啤用品质青稞品种(品系)。结果表明,青稞发芽温度为20℃,发芽时间为72 h,培养溶液PH为5时,发芽及焙焦条件下最有利于青稞热稳定蛋白总含量及蛋白质Z的累积。利用该发芽条件筛选种植于西宁、湟源和海晏的青稞资源,发现种植于西宁的青稞种子和发芽后热稳定蛋白质总含量最低,但是焙焦后热稳定蛋白质和蛋白质Z含量最高;同时从150份青稞资源中筛选出热稳定蛋白质含量及蛋白质Z条带清晰、含量高的优异资源15份。本研究结果为酿造青稞品种选育、啤用青稞和麦芽质量评价指标提供理论依据。     

L. plantarum,L. fermentum,and B. breve Beads Modified the Intestinal Microbiota and Alleviated the Inflammatory Response in High-Fat Diet–Fed Mice

Probiotics and Antimicrobial Proteins - This paper aims to study the effects of compound microbe-based beads on changes in the intestinal microbiota and alleviation of high-fat (HF)...     

Soybean AP1 homologs control flowering time and plant height

Flowering time and plant height are key agronomic traits that directly affect soybean (Glycine max) yield. APETALA1 (AP1) functions as a class A gene in the ABCE model for floral organ development, helping to specify carpel, stamen, petal, and sepal identities. There are four AP1 homologs in soybean, all of which are mainly expressed in the shoot apex. Here, we used clustered regularly interspaced short palindromic repeats (CRISPR) – CRISPR‐associated protein 9 technology to generate a homozygous quadruple mutant, gmap1, with loss‐of‐function mutations in all four GmAP1 genes. Under short‐day (SD) conditions, the gmap1 quadruple mutant exhibited delayed flowering, changes in flower morphology, and increased node number and internode length, resulting in plants that were taller than the wild type. Conversely, overexpression of GmAP1a resulted in early flowering and reduced plant height compared to the wild type under SD conditions. The gmap1 mutant and the overexpression lines also exhibited altered expression of several genes related to flowering and gibberellic acid metabolism, thereby providing insight into the role of GmAP1 in the regulatory networks controlling flowering time and plant height in soybean. Increased node number is the trait with the most promise for enhancing soybean pod number and grain yield. Therefore, the mutant alleles of the four AP1 homologs described here will be invaluable for molecular breeding of improved soybean yield.     

罗霄山脉翼手目物种多样性及适生区预测

罗霄山脉位于中国大陆东南部, 是一条南北走向的大型山脉, 面积约6.76万km²。该山脉位于欧亚大陆东部季风区, 生物多样性丰富, 是亚洲东部第三纪冰期动物重要的避难所。为了解罗霄山脉翼手目物种多样性状况, 本研究组于2013-2018年, 使用雾网、手网和竖琴网等工具开展了针对性调查与标本采集, 同时运用形态分类学和分子系统发生学方法鉴定物种。根据调查结果并结合文献记载: 罗霄山脉地区现有翼手目物种4科14属40种, 其中罗霄山脉翼手目新记录种25种, 省级翼手目分布新记录种9种。同时, 本研究基于5年的调查采集位点, 使用生物多样 性与气候变化虚拟实验室(the Biodiversity & Climate Change Virtual Laboratory)在线生境预测平台, 对罗霄山脉翼手目物种当前的适生区, 以及3种不同量温室气体排放情景下(representative concentration pathway, RCP 2.6 / 6.0 / 8.5) 2050年的适生区进行预测, 其中随机森林算法(random forest)的模型解释力较优, 其预测结果显示: 影响该区域翼手目分布的主要环境因子为降水季节性和年平均温度; 山脉中部及南部为翼手目的高适生区, 面积约为罗霄山脉的30%; 与当前适生区相比, RCP 2.6情景下2050年该类群适生区有所扩增, RCP 6.0和RCP 8.5情景下均会导致翼手目适生区急剧缩减, 且分布区将迁移至高海拔区域以响应气候变化。而本项目的开展不仅初步掌握了罗霄山脉翼手目物种多样性本底状况, 也为开展后续的翼手目研究和保护管理提供了参考。     

Approaches to promoting bone marrow mesenchymal stem cell osteogenesis on orthopedic implant surface

Bone marrow-derived mesenchymal stem cells(BMSCs) play a critical role in the osseointegration of bone and orthopedic implant. However, osseointegration between the Ti-based implants and the surrounding bone tissue must be improved due to titanium's inherent defects. Surface modification stands out as a versatile technique to create instructive biomaterials that can actively direct stem cell fate. Here, we summarize the current approaches to promoting BMSC osteogenesis on the surface of titanium and its alloys. We will highlight the utilization of the unique properties of titanium and its alloys in promoting tissue regeneration, and discuss recent advances in understanding their role in regenerative medicine. We aim to provide a systematic and comprehensive review of approaches to promoting BMSC osteogenesis on the orthopedic implant surface.     

High-resolution mapping of the dull fruit skin gene D in cucumber (Cucumis sativus L.)

Dull/glossy fruit skin is a highly valuable external quality trait that affects the market value of cucumbers. In this study, genetic analysis showed that one single dominant gene, D (dull fruit skin), determines the dull fruit skin trait in cucumber. By combining bulked segregant analysis with 11 published polymorphic molecular markers on chromosome 5, the D/d gene was preliminarily mapped between markers SCZ69 and SSR16203, at genetic distances of 0.3 and 0.6 cM, respectively. Subsequently, a larger F2 (S06 × S94) population (842 individuals in total) was used for high-resolution mapping of the D/d gene. Finally, the D/d gene was fine-mapped between markers SSR37 and SSR112, at a physical distance of 244.9 kb (containing 31 candidate genes), using eight newly developed polymorphic simple sequence repeat (SSR) markers between SCZ69 and SSR16203. Based on semi-quantitative RT-PCR analysis, the possible candidate gene D was identified as Csa016880 or Csa016887. Meanwhile, validity analysis of the markers SSR37 and SSR112 was performed with 72 dull/glossy fruit lines, and showed that the two co-dominant SSR markers could be used for marker-assisted selection of the dull/glossy fruit trait in cucumber breeding. Moreover, this study will be helpful for cloning of the D gene in cucumber.     

Mapping Quantitative Trait Loci for Omega-3 Fatty Acids in Asian Seabass

Omega-3 fatty acids are essential fatty acids for human health. Therefore, increasing both percentage of omega-3 and a better fatty acid profile in fish fillets is one of the breeding goals in aquaculture. However, it is difficult to increase the omega-3 content in fish fillets, as the phenotypic selection of these traits is not easily feasible. To facilitate the genetic improvement of the Asian seabass for optimal fatty acid profiles, a genome-wide scan for quantitative trait loci (QTL) affecting fatty acid level in the flesh of the Asian seabass was performed on an F₂ family containing 314 offspring. All family members were genotyped using 123 informative microsatellites and 22 SNPs. High percentages of n-3 polyunsaturated fatty acids (PUFA), especially C22:6 (DHA 16.48?±?3.09 %) and C20:5 (EPA 7.19?±?0.86 %) were detected in the flesh. One significant and 54 suggestive QTL for different fatty acids and a water content trait were detected on the whole genome. QTL for C18:0b was located on linkage groups (LG) 5. QTL for total n-3 PUFA content in flesh were mapped onto LG6 and LG23 with the phenotypic variance explained ranging from 3.8 to 6.3 %. Four QTL for C22:6 were detected on LG6, LG23, and LG24, explaining 3.9 to 4.9 % of the phenotypic variance, respectively. Mapping of QTL for contents of different fatty acids is the first step towards improving the omega-3 content in the fillets of fish by using marker-assisted selection and is important for understanding the biology of fatty acid deposition.