目的探讨m^(7)G-lncRNAs能否作为结肠癌患者预后及肿瘤微环境的生物标志物。方法TCGA数据库筛选m^(7)G-lncRNAs(|Pearson R|>0.4,P<0.001),多因素Cox分析构建m^(7)G-lncRNAs风险模型。使用ROC和C-index曲线对风险模型进行验证。...目的探讨m^(7)G-lncRNAs能否作为结肠癌患者预后及肿瘤微环境的生物标志物。方法TCGA数据库筛选m^(7)G-lncRNAs(|Pearson R|>0.4,P<0.001),多因素Cox分析构建m^(7)G-lncRNAs风险模型。使用ROC和C-index曲线对风险模型进行验证。构建诺莫图和诺莫图的校准曲线用于预测结肠癌患者的预后。点柱图和K-M生存曲线评估风险打分对患者临床分期和预后的影响。CIBERSORT和ESTIMATE探究高低风险组患者肿瘤微环境和免疫细胞浸润程度的联系,同时分析风险打分对结肠癌患者微卫星不稳定性,干细胞指数和免疫检查点表达的影响。使用相互作用基因搜索工具(STRING)构建蛋白质-蛋白质相互作用网络,挖掘m^(7)G-lncRNAs调控的关键靶点。最后,使用蛋白印迹实验在4对结肠癌组织与癌旁正常组织中验证这些关键靶点的表达。结果从TCGA数据库鉴别出1722个m^(7)G-lncRNAs。多因素Cox分析筛选出12个lncRNAs用于构建风险模型,其中AC003101.2、AC005014.2、AC008760.1、AC092944.1、AL1161729.4、AL301422.4、AP001619.1、AP003355.1和ZEB1-AS1为高风险lncRNAs,AC025171.4、AC073957.3及TNFRSF10A-AS1为低风险lncRNAs。ROC曲线显示风险模型对患者1年、3年、5年生存预测的AUC值分别为0.727、0.747、0.794。诺莫图预测患者预后的AUC值为0.794,校准曲线显示诺莫图对患者生存的预测与患者实际的生存基本一致。高风险组患者的T分期(T1~T2 vs T3~T4:P=0.034)、N分期(N0 vs N2:P=7.8e-08;N1 vs N2:P=0.00081)以及M分期(M0 vs M1:P=0.007)均高于低风险组患者。低风险组患者常伴随高微卫星不稳定状态(MSS vs MSI-H:P=0.034)。肿瘤干性指数与风险得分呈负相关(r=-0.19;P=7.3e-05)。高风险组患者基质细胞打分(P=0.0028)以及总打分(P=0.007)明显高于低风险组患者较高,激活的肥大细胞(r=-0.11;P=0.045)和静息CD4^(+)T细胞(r=-0.14;P=0.01)的表达也较低。多数免疫检查点在高风险患者中高表达(P<0.05)。蛋白印迹实验表明m^(7)G-lncRNAs调控的关键靶点ATXN2(P=0.006)and G3BP1(P=0.007)在4对结肠癌组织中表达均高于配对的癌旁正常组织。结论12个m^(7)G-lncRNAs构建的风险模型对结肠癌具有重要的预后价值,同时也能反映结肠癌患者肿瘤微环境及免疫治疗的疗效。展开更多
AIM: Traditional hepatitis B virus (HBV) genotyping methods using restriction fragment length polymorphism (RFLP) can reliably identify genotypes A to F. As HBV genotypes G and H have been recently identified, this st...AIM: Traditional hepatitis B virus (HBV) genotyping methods using restriction fragment length polymorphism (RFLP) can reliably identify genotypes A to F. As HBV genotypes G and H have been recently identified, this study was to establish an accurate and simple genotyping method for all eight HBV genotypes (A to H).METHODS: Two hundred and forty HBV small S sequences obtained from GeneBank were analysed for restriction enzyme sites that would be genotype-specific. Restriction patterns following digestion with restriction enzymes BsrⅠ, StyⅠ, DpnⅠ, HpaⅡ, and EaeⅠ, were determined to identify all eight HBV genotypes. Mixed genotype infections were confirmed by cloning and further RFLP analysis.RESULTS: The new genotyping method could identify HBV genotypes A to H. Genotypes B and C could be determined by a single step digestion with BsrI and StyI in parallel. This was particularly useful in the Far East where genotypes B and C are predominant. Serum samples from 187 Chinese HBV carders were analysed with this genotyping system, and the genotype distribution was 1.1% (2), 51.9% (97), 40.6% (76) and 4.8% (9) for genotypes A, B, C, and D, respectively. Mixed genotypes were found in only 3 patients (1.6%). Sequence data analysis confirmed the validity of this new method.CONCLUSION: This HBV genotyping system can identify all eight HBV genotypes. It is accurate and simple, and can be widely used for studies on HBV genotyping.展开更多
The study presented the method for isolating the heterotrophic nitrifiers and the characterization of heterotrophic nitrification. Continuous tests via a membrane bioreactor (MBR) were operated under the controlled co...The study presented the method for isolating the heterotrophic nitrifiers and the characterization of heterotrophic nitrification. Continuous tests via a membrane bioreactor (MBR) were operated under the controlled conditions to proliferate the nitrifiers. Heterotrophic nitrifying bacteria were isolated from the system in which the efficiency of total nitrogen(TN) removal was up to 80%. Since no autotrophic ammonium and nitrite oxidizers could be detected by fluorescence in situ hybridization(FISH), oxidized-N production was unlikely to be catalyzed by autotrophic nitrifiers during the heterotrophic nitrifiers' isolation in this study. The batch test results indicate that the isolated heterotrophic bacteria were able to nitrify. After 3 weeks incubation, the efficiencies of the COD removal by the three isolated bacterial strains B1, B2, and B3 were 52 6%, 71 7%, and 77 7%, respectively. The efficiencies of the TN removal by B1, B2, and B3 were 35 6%, 61 2% and 68 7%, respectively.展开更多
文摘目的探讨m^(7)G-lncRNAs能否作为结肠癌患者预后及肿瘤微环境的生物标志物。方法TCGA数据库筛选m^(7)G-lncRNAs(|Pearson R|>0.4,P<0.001),多因素Cox分析构建m^(7)G-lncRNAs风险模型。使用ROC和C-index曲线对风险模型进行验证。构建诺莫图和诺莫图的校准曲线用于预测结肠癌患者的预后。点柱图和K-M生存曲线评估风险打分对患者临床分期和预后的影响。CIBERSORT和ESTIMATE探究高低风险组患者肿瘤微环境和免疫细胞浸润程度的联系,同时分析风险打分对结肠癌患者微卫星不稳定性,干细胞指数和免疫检查点表达的影响。使用相互作用基因搜索工具(STRING)构建蛋白质-蛋白质相互作用网络,挖掘m^(7)G-lncRNAs调控的关键靶点。最后,使用蛋白印迹实验在4对结肠癌组织与癌旁正常组织中验证这些关键靶点的表达。结果从TCGA数据库鉴别出1722个m^(7)G-lncRNAs。多因素Cox分析筛选出12个lncRNAs用于构建风险模型,其中AC003101.2、AC005014.2、AC008760.1、AC092944.1、AL1161729.4、AL301422.4、AP001619.1、AP003355.1和ZEB1-AS1为高风险lncRNAs,AC025171.4、AC073957.3及TNFRSF10A-AS1为低风险lncRNAs。ROC曲线显示风险模型对患者1年、3年、5年生存预测的AUC值分别为0.727、0.747、0.794。诺莫图预测患者预后的AUC值为0.794,校准曲线显示诺莫图对患者生存的预测与患者实际的生存基本一致。高风险组患者的T分期(T1~T2 vs T3~T4:P=0.034)、N分期(N0 vs N2:P=7.8e-08;N1 vs N2:P=0.00081)以及M分期(M0 vs M1:P=0.007)均高于低风险组患者。低风险组患者常伴随高微卫星不稳定状态(MSS vs MSI-H:P=0.034)。肿瘤干性指数与风险得分呈负相关(r=-0.19;P=7.3e-05)。高风险组患者基质细胞打分(P=0.0028)以及总打分(P=0.007)明显高于低风险组患者较高,激活的肥大细胞(r=-0.11;P=0.045)和静息CD4^(+)T细胞(r=-0.14;P=0.01)的表达也较低。多数免疫检查点在高风险患者中高表达(P<0.05)。蛋白印迹实验表明m^(7)G-lncRNAs调控的关键靶点ATXN2(P=0.006)and G3BP1(P=0.007)在4对结肠癌组织中表达均高于配对的癌旁正常组织。结论12个m^(7)G-lncRNAs构建的风险模型对结肠癌具有重要的预后价值,同时也能反映结肠癌患者肿瘤微环境及免疫治疗的疗效。
基金Supported by theMajor State Basic Research Development Program of China.973 Program,No.G1999054106 and the National Science Fund for Distinguished Young Scholars,No.30225042
文摘AIM: Traditional hepatitis B virus (HBV) genotyping methods using restriction fragment length polymorphism (RFLP) can reliably identify genotypes A to F. As HBV genotypes G and H have been recently identified, this study was to establish an accurate and simple genotyping method for all eight HBV genotypes (A to H).METHODS: Two hundred and forty HBV small S sequences obtained from GeneBank were analysed for restriction enzyme sites that would be genotype-specific. Restriction patterns following digestion with restriction enzymes BsrⅠ, StyⅠ, DpnⅠ, HpaⅡ, and EaeⅠ, were determined to identify all eight HBV genotypes. Mixed genotype infections were confirmed by cloning and further RFLP analysis.RESULTS: The new genotyping method could identify HBV genotypes A to H. Genotypes B and C could be determined by a single step digestion with BsrI and StyI in parallel. This was particularly useful in the Far East where genotypes B and C are predominant. Serum samples from 187 Chinese HBV carders were analysed with this genotyping system, and the genotype distribution was 1.1% (2), 51.9% (97), 40.6% (76) and 4.8% (9) for genotypes A, B, C, and D, respectively. Mixed genotypes were found in only 3 patients (1.6%). Sequence data analysis confirmed the validity of this new method.CONCLUSION: This HBV genotyping system can identify all eight HBV genotypes. It is accurate and simple, and can be widely used for studies on HBV genotyping.
文摘The study presented the method for isolating the heterotrophic nitrifiers and the characterization of heterotrophic nitrification. Continuous tests via a membrane bioreactor (MBR) were operated under the controlled conditions to proliferate the nitrifiers. Heterotrophic nitrifying bacteria were isolated from the system in which the efficiency of total nitrogen(TN) removal was up to 80%. Since no autotrophic ammonium and nitrite oxidizers could be detected by fluorescence in situ hybridization(FISH), oxidized-N production was unlikely to be catalyzed by autotrophic nitrifiers during the heterotrophic nitrifiers' isolation in this study. The batch test results indicate that the isolated heterotrophic bacteria were able to nitrify. After 3 weeks incubation, the efficiencies of the COD removal by the three isolated bacterial strains B1, B2, and B3 were 52 6%, 71 7%, and 77 7%, respectively. The efficiencies of the TN removal by B1, B2, and B3 were 35 6%, 61 2% and 68 7%, respectively.
