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Guang-Jun Wang,Zhong-Shan Wang,Yong-Wei Zhang,Yizheng Zhang 한국생물공학회 2012 Biotechnology and Bioprocess Engineering Vol.17 No.4
Two proven secretion signal zmo130 and zmo331 native to Zymomonas mobilis were fused to the N terminal of α-amylase from Bacillus subtilis and transformed into 5 different strains of Z. mobilis separately. It was found that the signal zmo130 could direct the extracellular secretion of the expressed α-amylase with high activity, but zmo331 could not. Fermentation experiments demonstrated that the recombinant Z. mobilis CICC 10225(p130A) exhibited the highest level of ethanol production, which is nearly 50% of the theoretical yield of ethanol from soluble starch,but another recombinant Z. mobilis ATCC 31821(p130A)took the shortest fermentation time of approximately 3days, with the second high level of ethanol yield. The recombined strains in our study could be an important target for the following genetic engineering of next amylase in order to hydrolyze starch completely.
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Zhao Zijun,Wu Yue,Wang Zairan,Xu Jiayi,Wang Yizheng,Zhao Zongmao 한국유전학회 2022 Genes & Genomics Vol.44 No.1
Background: Gliomas, especially Glioblastoma multiforme, are the most frequent type of primary tumors in central nervous system. Increasing researches have revealed the relationship between autophagy and tumor, while the molecular mechanism of autophagy in glioma is still rarely reported. Objective: Our research aims to conform the autophagy-related genes (ARGs) implicated in the development and progression of glioma and improve our understanding of autophagy in glioma. Methods: 20 candidate ARGs were screened through the protein-protein interaction network. We also downloaded the publicly accessible glioma data for 665 individuals from TCGA and 970 individuals from CGGA with RNA sequences and clinicopathological information. Subsequently, univariate and multivariate Cox regression analysis identified 5 key ARGs among the 20 candidate genes as key prognostic genes for survival, GSEA and immune response analysis. Results: ATG5, BCL2L1, CASP3, CASP8, GAPDH were identified as key ARGs in our research. Further studies showed that the high-risk population was linked to a dismal prognosis and suggested an immune-inhibitory microenvironment. GSEA results demonstrated that high risk population was closely related to DNA repair, hypoxia pathways, implicated in immunosuppression and carcinogenesis. Through CMap, we finally identified 14 candidate drugs for the ARG high risk population. Conclusions: This study established and verified an ARG risk model, which can serve as an independent predictor for prognosis, reflect on the strength of the immune response and predict the potential drugs in glioma. Our findings offer new understandings of ARG molecular mechanism and promising therapeutic targets for glioma treatment.
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Changhe Wei,Ming Li,Jia Qin,Yunfan Xu,Yizheng Zhang,Haiyan Wang 한국유전학회 2019 Genes & Genomics Vol.41 No.8
Background Sweetpotato (Ipomoea batatas) is a hexaploid plant and generally most genotypes do not flower at all in subtropics. Heterografting was carried out between sweetpotato cultivar ‘Xushu 18’ and Japanese morning glory (Ipomoea nil). With sweetpotato as ‘scion’ and I. nil as ‘rootstock’, sweetpotato was induced flowering in the autumn. However, little is known about the molecular mechanisms underlying sweetpotato responses to grafting, especially during the full blooming stages. Objectives To investigate the poorly understood molecular responses underlying the grafting-induced phenotypic processes in sweetpotato at full anthesis. Methods In this study, to explore the transcriptome diversity and complexity of sweetpotato, PacBio Iso-Seq and Illumina RNA-seq analysis were combined to obtain full-length transcripts and to profile the changes in gene expression of five tissues: scion flowers (SF), scion leaves (SL), scion stems (SS), own-rooted leaves (OL) and own-rooted stems (OS). Results A total of 138,151 transcripts were generated with an average length of 2255 bp, and more than 72% (100,396) of the transcripts were full-length. During full blooming, to examine the difference in gene expression of sweetpotato under grafting and natural growth conditions, 7905, 7795 and 15,707 differentially expressed genes were detected in pairwise comparisons of OS versus SS, OL versus SL and SL versus SF, respectively. Moreover, differential transcription of genes associated with anthocyanin biosynthesis, light pathway and photosynthesis, ethylene signal transduction pathway was observed in scion responses to grafting. Conclusion Our study is useful in understanding the molecular basis of grafting-induced flowering in grafted sweetpotatoes, and will lay a foundation for further research on sweetpotato breeding in the future.
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Gene Expression Profiles of HeLa Cells Impacted by Hepatitis C Virus Non-structural Protein NS4B
( Yi Zheng ),( Lin Bai Ye ),( Jing Liu ),( Wei Jing ),( Khalid A. Timani ),( Xiao Jun Yang ),( Fan Yang ),( Wei Wang ),( Bo Gao ),( Zhen Hui Wu ) 생화학분자생물학회 2005 BMB Reports Vol.38 No.2
By a cDNA array representing 2308 signal transductionrelated genes, we studied the expression profiles of HeLa cells stably transfected by Hepatitis C virus nonstructural protein 4B (HCV-NS4B). The alterations of the expression of four genes were confirmed by real-time quantitative RT PCR; and the aldo-keto reductase family 1, member Cl (AKR1C1) enzyme activity was detected in HCV-NS4B transiently transfected HeLa cells and Huh-7, a human hepatoma cell line. Of the 2,308 genes we examined, 34 were up-regulated and 56 were down-regulated. These 90 genes involved oncogenes, tumor suppressors, cell receptors, complements, adhesions, transcription and translation, cytoskeletion and cellular stress. The expression profiling suggested that multiple regulatory pathways were affected by HCV-NS4B directly or indirectly. And since these genes are related to carcinogenesis, host defense system and cell homeostatic mechanism, we can conclude that HCV-NS4B could play some important roles in the pathogenesis mechanism of HCV.
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RadioCycle: Deep Dual Learning based Radio Map Estimation
Yi Zheng,Tianqian Zhang,Cunyi Liao,Ji Wang,Shouyin Liu 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.11
The estimation of radio map (RM) is a fundamental and critical task for the network planning and optimization performance of mobile communication. In this paper, a RM estimation method is proposed based on a deep dual learning structure. This method can simultaneously and accurately reconstruct the urban building map (UBM) and estimate the RM of the whole cell by only part of the measured reference signal receiving power (RSRP). Our proposed method implements UBM reconstruction task and RM estimation task by constructing a dual U-Net-based structure, which is named RadioCycle. RadioCycle jointly trains two symmetric generators of the dual structure. Further, to solve the problem of interference negative transfer in generators trained jointly for two different tasks, RadioCycle introduces a dynamic weighted averaging method to dynamically balance the learning rate of these two generators in the joint training. Eventually, the experiments demonstrate that on the UBM reconstruction task, RadioCycle achieves an F1 score of 0.950, and on the RM estimation task, RadioCycle achieves a root mean square error of 0.069. Therefore, RadioCycle can estimate both the RM and the UBM in a cell with measured RSRP for only 20% of the whole cell.
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