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Objective To explore tumor inhibitory effect of the lentiviral vectors mediated small interfering RNA(siRNA)targe‐ting survivin gene on human lung adenocarcinoma xenografts in nude mice in vivo .Methods The lentiviral vector expressing sur‐vivin‐siRNA was prepared .Then established human lung adenocarcinoma‐bearing nude mice model ,and divided nude mice into three groups ,including the blank control group(PC group) ,blank vector group(NC group) and experiment group(RNAi group) ,treated with physiological saline ,blank viral vector and siRNA respectively .The lentiviral vectors expressing survivin‐siRNA were locally injected in tumor issues of nude mice in the RNAi group .Then observed the curve about changes of tumor volume in different time . The expression levels of protein and mRNA were detected by using Western blot and reverse transcription polymerase chain reac‐tion(RT‐PCR) .The histogram of tumor cell cycle were examined by using flow cytometry .Results The rate of tumor inhibition of lentiviral vectors mediated survivin‐siRNA on lung adenocarcinoma in nude mice was 46 .07% .There were significant differences in tumor weight between siRNA group and NC group ,PC group(P0 .05) .Compared with NC group and PC group ,the expression levels of survivin mRNA and protein were decreased ,and rates of inhibition were 72 .00% and 53 .00% respectively .The percentage of G1 phase cells was in‐creased ,whereas the percentages of S phase cells was decreased .Conclusion The lentiviral vectors mediated siRNA could effective‐ly inhibit survivin gene expression on human lung adenocarcinoma xenografts in nude mice and markedly induce the apoptosis of tumor .
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Aspergillus niger, as an important industrial fermentation strain, is widely applied in the production of organic acids and industrial enzymes. With the development of diverse omics technologies, the data of genome, transcriptome, proteome and metabolome of A. niger are increasing continuously, which declared the coming era of big data for the research in fermentation process of A. niger. The data analysis from single omics and the comparison of multi-omics, to the integrations of multi-omics based on the genome-scale metabolic network model largely extends the intensive and systematic understanding of the efficient production mechanism of A. niger. It also provides possibilities for the reasonable global optimization of strain performance by genetic modification and process regulation. We reviewed and summarized progress in omics research of A. niger, and proposed the development direction of omics research on this cell factory.