一个RNAi载体上反向重复片段的测序策略

相邻的反向重复DNA片段有形成单链内二级结构的倾向,属于一种测序困难的DNA模板。解决RNAi载体插入的反向重复片段的测序问题,为该类载体正确性的测序验证奠定基础。采用常规分子克隆方法构建表达小麦TaATG2串联反向重复片段的RNAi载体,设计2种策略对经菌落PCR初步鉴定的载体进行测序验证:一种是以完整的载体质粒为模板进行测序;另一种是先对载体进行酶切处理,切除反向重复片段中的一个后对保留另一个片段的线性载体进行测序。结果表明,第一种测序策略受到串联反向重复片段形成的单链内部二级结构的影响,测序信号在反向重复片段处出现衰减或乱峰,无法读取序列。第二种测序策略排除了2个反向重复片段之间的干扰,保留在载体上的片段测序信号清晰,序列准确。采用酶切切除一个片段后进行测序的方法,经过2次酶切和2次测序可以有效地对载体上的2个反向重复片段分别进行序列测定,进而确认构建载体的正确性。     

Screening of significant biomarkers related with prognosis of liver cancer by lncRNA-associated ceRNAs analysis

This study aimed to identify significant biomarkers related to the prognosis of liver cancer using long noncoding RNA (lncRNA)-associated competing endogenous RNAs (ceRNAs) analysis. Differentially expressed mRNA and lncRNAs between liver cancer and paracancerous tissues were screened, and the functions of these mRNAs were predicted by gene ontology and pathway enrichment analyses. A ceRNA network consisting of differentially expressed mRNAs and lncRNAs was constructed. LncRNA FENDRR and lncRNA HAND2-AS1 were hub nodes in the ceRNA network. A risk score assessment model consisting of eight genes (PDE2A, ESR1, FBLN5, ALDH8A1, AKR1D1, EHHADH, ADRA1A, and GNE) associated with prognosis were developed. Multivariate Cox regression suggested that both pathologic_T and risk group could be regarded as independent prognostic factors. Furthermore, a nomogram model consisting of pathologic_T and risk group showed a good prediction ability for predicting the survival rate of liver cancer patients. The nomogram model consisting of pathologic_T and a risk score assessment model could be regarded as an independent factor for predicting prognosis of liver cancer.