Ribosome-binding Sequences (RBS) Engineering of Key Genes in Escherichia coli for High Production of Fatty Alcohols

Ruonan Chen,Yilan Liu,Wei Zhong,Hao Xuemi,Tingzhen Mu,Maohua Yang,Jianmin Xing 한국생물공학회 2022 Biotechnology and Bioprocess Engineering Vol.27 No.4

Fatty alcohols are widely used in the fields of food, pharmaceutical and renewable energy and so on, thus biosynthesis of fatty alcohols has attracted wide attention in recent years. However, the concentration of fatty alcohols is still at a low level. In this paper, we constructed an Escherichia coli strain with high yield of fatty alcohols through the combinatorial regulation of three key genes of fabH, fabZ, and far. Firstly, we designed new ribosomebinding sequences (RBS) of fabH and fabZ with 10-fold strengths compared to the original ones by RBS calculator, separately. Secondly, we engineered the starting strain MGL1 by replacing the original RBS with designed ones, which resulted in MGLHS (fabH-RBS1), MGLZS (fabZRBS2), and MGLHZS (fabH-RBS1/fabZ-RBS2), respectively. Thirdly, the plasmid pL1 harboring far gene was transferred into above strains to test fatty alcohols production under the induction of different isopropyl-β-D-thiogalactoside concentrations. The results showed that the concentration of fatty alcohols in strains MGLHS-far, MGLZS-far and MGLHZS-far reached 2.75 g/L, 2.54 g/L and 3.82 g/L, respectively, which increased 35%, 25% and 88% than that of the starting strain MGL1-far. The fatty alcohols reached 9.35 g/L in fed batch fermentation with MGLHZS-far, of which the main components were two saturated fatty alcohols (C14:0 and C16:0) and two unsaturated fatty alcohols (C16:1 and C18:1). The results demonstrated that combinatorial regulation of three key genes of fabH, fabZ, and far in E. coli can achieve high-yield production of fatty alcohols.

Screening and functional validation of lipid metabolism-related lncRNA-46546 based on the transcriptome analysis of early embryonic muscle tissue in chicken

Chen Ruonan,Liao Kai,Liao Herong,Zhang Li,Zhao Haixuan,Sun Jie 아세아·태평양축산학회 2023 Animal Bioscience Vol.36 No.2

Objective: The study was conducted to screen differentially expressed long noncoding RNA (lncRNA) in chickens by high-throughput sequencing and explore its mechanism of action on intramuscular fat deposition. Methods: Herein, Rose crown and Cbb broiler chicken embryo breast and leg muscle lncRNA and mRNA expression profiles were constructed by RNA sequencing. A total of 96 and 42 differentially expressed lncRNAs were obtained in Rose crown vs Cobb broiler chicken breast and leg muscle, respectively. lncRNA-ENSGALT00000046546, with high interspecific variability and a potential regulatory role in lipid metabolism, and its predicted downstream target gene 1-acylglycerol-3-phosphate-O-acyltransferase 2 (AGPAT2), were selected for further study on the preadipocytes. Results: lncRNA-46546 overexpression in chicken preadipocyte 2 cells significantly increased (p<0.01) the expression levels of AGPAT2 and its downstream genes diacylglycerol acyltransferase 1 and diacylglycerol acyltransferase 2 and those of the fat metabolismrelated genes peroxisome proliferator-activated receptor γ, CCAAT/enhancer binding protein α, fatty acid synthase, sterol regulatory element-binding transcription factor 1, and fatty acid binding protein 4. The lipid droplet concentration was higher in the overexpression group than in the control cells, and the triglyceride content in cells and medium was also significantly increased (p<0.01). Conclusion: This study preliminarily concludes that lncRNA-46546 may promote intramuscular fat deposition in chickens, laying a foundation for the study of lncRNAs in chicken early embryonic development and fat deposition.

Attitude as Situational Motivation of Communicative Actions : Navigating U.S.- China Trade Dispute through Situational Theory of Problem Solving

Ruonan Zhang,Nicky Chang Bi,Peiqin Chen 한국언론학회 2020 Asian Communication Research Vol.17 No.2

This study confirms and extends Situational Theory of Problem Solving (STOPS) by examining it in the context of the U.S.-China trade dispute. Using Chinese national survey data (N = 935), this study reveals that the attitude towards China’s stand on the trade dispute as a significant negative mediator between antecedent perceptual variables and multiple communicative actions: online information seeking, online information permitting, and information sharing. This study provides empirical proof of STOPS from a different cultural setting other than the U.S. It not only confirms the theoretical structure of the novel variables developed through STOPS, but also advances the theory by testing the communicative actions in the online realm as dependent variables. Practical implications on crisis communication and political public information management were also discussed.

중국 인공지능의 사법적 영역에서의 응용과 연구

류뤄난 ( Liu Ruonan ),천량 ( Chen Liang ) 현대중국학회 2020 現代中國硏究 Vol.22 No.3

인류는 지금 인터넷 시대에서 지능화 시대로 접어들고 있다. 컴퓨터의 저장, 추출, 식별, 분석 등 기술능력의 향상으로 인해 대량의 데이터 처리가 가능해졌다. 즉, 컴퓨터의 데이터 처리능력은 이미 새로운 기술혁명의 중요한 생산 요소가 되었다. 오늘날 딥러닝으로 대표되는 기계학습 기술을 통한 이정표적 성과는 인공지능 어플리케이션이 다양하게 발전할 수 있는 기반을 제공하고 있으며, 다양한 방식으로 인간의 사회생활에 녹아들고 있다. 인공지능 기술을 활용한 다양한 산업에서의 응용에 대하여 각국이 새로운 기술혁명의 선두주자 자리를 차지하기 위해 인공지능 개발에 박차를 가하고 있다. 특히, 스마트화 시대를 맞아 과학기술 혁신과 사법실무에도 깊게 융합되어 고품질의 법률 인공지능 제품이 끊임없이 쏟아져 나오고 있다. 이에 따른 법적 리스크가 만만치 않기에 각국에서는 지능화 기술의 수준에 따라 사법 영역의 대응을 모색하고 있다. 이처럼 인공지능 기술이 급속히 발전함에 따라 사법 영역에서의 응용도 많은 관심을 받는다. 이에 본 논문은 먼저 사법분야에서 인공지능 기술의 시작과 발전을 시간 순으로 다루고, 사법분야에서 인공지능의 개입에 대한 전반적인 인식을 담고자 하였다. 이를 위해 학계와 법조계의 이론과 실무에서의 성과를 토대로 국내외 인공지능 기술을 활용한 사법분야에서의 응용과 효과를 정리하였다. 이를 통해 인공지능(AI) 기술의 기초적 지식과 법학이라는 특성을 결합해 사법분야에서 활용될 수 있는 기술적 포인트와 최신 동향, 그리고 해결해야 할 문제들을 분석하고 해결책을 제시하고자 한다. At present, the improvement of technical ability of storage, extraction, identification and analysis makes mass data processing possible. The milestone breakthrough of machine learning technology represented by deep learning makes the application of artificial intelligence deeply integrate into human social life. Many countries have accelerated the development of artificial intelligence technology. Nowadays, technology and law are deeply integrated and more and more high-quality legal artificial intelligence products have been produced. The legal risks arising from this cannot be ignored, and these countries also have began to study the risks of artificial intelligence application in the judicial field. The relationship between artificial intelligence and law is not a simple superposition, but a cross penetration. Therefore, the investigation of artificial intelligence in the judicial field requires thinking about paths, limits, and risks that are the integration of the technical field with the goal of economy and efficiency and the judicial field with “fairness and justice” as the value pursuit. To achieve the goals above, this paper will combine artificial intelligence technology knowledge and legal knowledge to discuss. This paper will review the historical development of typical judicial applications of artificial intelligence represented by legal information retrieval systems and legal expert systems. And then, the paper will clarify the working principles of core artificial intelligence technology represented by knowledge maps, natural language processing, and machine learning. And next, the paper will combine the abstract characteristics of legal terminology and the flexibility of legal application to reflect on the reasons for the low conformity of artificial intelligence technology in the judicial field. At last, based on the above analysis, the paper will propose improvement suggestions for judicial big data acquisition, legal information extraction, and AI model research from two aspects of technology improvement and legal regulation.

Catalpol Inhibits Tregs-to-Th17 Cell Transdifferentiation by Up-Regulating Let-7g-5p to Reduce STAT3 Protein Levels

Lingling Zhou,Yuxi Di,Mingfei Zhang,Yichang Chen,Ruonan Sun,Meiyu Shen,Fengxiang Tian,Pei Yang,Feiya Qian 연세대학교의과대학 2022 Yonsei medical journal Vol.63 No.1

Purpose: Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease, and Th17 cells are key factors in the pathogenesis of human inflammatory conditions, such as RA. Catalpol (CAT), a component in Rehmanniae Radix (RR), has been found to regulate human immunity. However, the effects of CAT on Th17 cell differentiation and improvement of RA are not clear. Materials and Methods: Collagen-induced arthritis (CIA) mice were constructed to detect the effects of CAT on arthritis and Th17 cells. The effect of CAT on Th17 differentiation was evaluated with let-7g-5p transfection experiments. Flow cytometry was used to detect the proportion of Th17 cells after CAT treatment. Levels of interleukin-17 and RORγt were assessed by qRT-PCR and enzyme-linked immunosorbent assay. The expression of signal transducer and activator of transcription 3 (STAT3) was determined by qRT-PCR and Western blot. Results: We found that the proportion of Th17 cells was negatively associated with let-7g-5p expression in CIA mice. In in vitro experiments, CAT suppressed traditional differentiation of Th17 cells. Simultaneously, CAT significantly decreased Tregs-to-Th17 cells transdifferentiation. Our results demonstrated that CAT inhibited Tregs-to-Th17 cells transdifferentiation by up-regulating let-7g-5p and that the suppressive effect of CAT on traditional differentiation of Th17 cells is not related with let-7-5p. Conclusion: Our data indicate that CAT may be a potential modulator of Tregs-to-Th17 cells transdifferentiation by up-regulating let-7g-5p to reduce the expression of STAT3. These results provide new directions for research into RA treatment.