This paper studies the distribution features, the chemical elements beyond standards and the influencing factors of shallow groundwater quality in the Guanzhong Basin through the data monitored in the last twenty year...This paper studies the distribution features, the chemical elements beyond standards and the influencing factors of shallow groundwater quality in the Guanzhong Basin through the data monitored in the last twenty years. The final purpose is to comprehensively evaluate the divisions of groundwater quality in the Guanzhong Basin. Results show that, the groundwater quality is in good shape, and suitable for drinking. Drinking accounts for 16.02% of the total, most of which are distributed in the lubotan of Weibei. Some come from loess plateau of Qian-Liquan County and some are generated by the industrial pollution of Xingping City. Materials exceeding standards include chloride, sulfate, three nitrogen, fluoride, manganese, iron, hexavalent chromium and so on. The main factors influencing the quality of shallow groundwater include groundwater exploitation, natural background value of special components and precipitation, among which the groundwater exploitation poses the greatest impact. The depth of water is positively correlated with the concentration of sulfate, nitrate and total hardness.展开更多
目的通过癌症基因图谱(the cancer genome atlas,TCGA)数据库,利用生物信息学方法构建与肝细胞癌患者生存预后相关的长链非编码RNA (LncRNA)筛选模型,建立肝细胞癌诊断和预后相关的LncRNA,为研究肝细胞癌的发生发展及预后提供新的研究思...目的通过癌症基因图谱(the cancer genome atlas,TCGA)数据库,利用生物信息学方法构建与肝细胞癌患者生存预后相关的长链非编码RNA (LncRNA)筛选模型,建立肝细胞癌诊断和预后相关的LncRNA,为研究肝细胞癌的发生发展及预后提供新的研究思路,有望成为新的治疗靶点。方法从癌症基因图谱(TCGA)数据库中下载424例肝细胞癌患者的RNA表达谱数据和相应的临床资料,其中包括374例肿瘤组织和50例正常对照。通过R语言的edgeR包,获取在正常组织和肝细胞癌组织中差异表达的LncRNA,并使用单因素Cox回归分析筛选出与预后相关的LncRNA。用lasso回归和多因素回归分析建立与肝细胞癌预后相关LncRNA模型,绘制受试者工作特征曲线,验证其模型的可靠性。结果在TCGA数据库中用单因素生存分析筛选出899个与生存预后相关的LncRNA,进一步用多因素Cox回归,筛选出5个与生存预后最显著相关的LncRNA,并构建肝细胞癌预后模型,其受试者工作特征曲线的曲线下面积表明该模型对肝细胞癌的三年和五年生存率的评估有很好地准确性,可能是肝细胞癌发生发展中的关键基因,为后期临床及动物实验提供研究方向和依据。结论研究确定了肝细胞癌中与生存预后显著相关的5个LncRNA,包括B3GALT5-AS,KC877982.1,MIR7-3JG,PGM5P3-AS1和TBX5-AS1(P<0.01)。其表达特征与患者的存活风险具有较高的关联性,联合检测这5个LncRNA能较准确地预测肝细胞癌患者的三年和五年生存率。展开更多
基金sponsored by the construction of urban geological environment monitoring network in Guanzhong urban agglomeration,China geological survey,Project No.Water[2012]01-007-002the research of groundwater dynamic monitoring in Shaanxi province,Shaanxi public welfare geological project,Project No.20130203
文摘This paper studies the distribution features, the chemical elements beyond standards and the influencing factors of shallow groundwater quality in the Guanzhong Basin through the data monitored in the last twenty years. The final purpose is to comprehensively evaluate the divisions of groundwater quality in the Guanzhong Basin. Results show that, the groundwater quality is in good shape, and suitable for drinking. Drinking accounts for 16.02% of the total, most of which are distributed in the lubotan of Weibei. Some come from loess plateau of Qian-Liquan County and some are generated by the industrial pollution of Xingping City. Materials exceeding standards include chloride, sulfate, three nitrogen, fluoride, manganese, iron, hexavalent chromium and so on. The main factors influencing the quality of shallow groundwater include groundwater exploitation, natural background value of special components and precipitation, among which the groundwater exploitation poses the greatest impact. The depth of water is positively correlated with the concentration of sulfate, nitrate and total hardness.
文摘目的通过癌症基因图谱(the cancer genome atlas,TCGA)数据库,利用生物信息学方法构建与肝细胞癌患者生存预后相关的长链非编码RNA (LncRNA)筛选模型,建立肝细胞癌诊断和预后相关的LncRNA,为研究肝细胞癌的发生发展及预后提供新的研究思路,有望成为新的治疗靶点。方法从癌症基因图谱(TCGA)数据库中下载424例肝细胞癌患者的RNA表达谱数据和相应的临床资料,其中包括374例肿瘤组织和50例正常对照。通过R语言的edgeR包,获取在正常组织和肝细胞癌组织中差异表达的LncRNA,并使用单因素Cox回归分析筛选出与预后相关的LncRNA。用lasso回归和多因素回归分析建立与肝细胞癌预后相关LncRNA模型,绘制受试者工作特征曲线,验证其模型的可靠性。结果在TCGA数据库中用单因素生存分析筛选出899个与生存预后相关的LncRNA,进一步用多因素Cox回归,筛选出5个与生存预后最显著相关的LncRNA,并构建肝细胞癌预后模型,其受试者工作特征曲线的曲线下面积表明该模型对肝细胞癌的三年和五年生存率的评估有很好地准确性,可能是肝细胞癌发生发展中的关键基因,为后期临床及动物实验提供研究方向和依据。结论研究确定了肝细胞癌中与生存预后显著相关的5个LncRNA,包括B3GALT5-AS,KC877982.1,MIR7-3JG,PGM5P3-AS1和TBX5-AS1(P<0.01)。其表达特征与患者的存活风险具有较高的关联性,联合检测这5个LncRNA能较准确地预测肝细胞癌患者的三年和五年生存率。
