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Application of in situ cultivation in marine microbial resource mining

Marine Life Science & Technology 2021年第2期3卷 148-161页

作者： dawoon jung Liwei Liu Shan He Li Dak Sum Yip Yio Chin Kenneth Li Marine Biopharmaceutical Research Center College of Food and Pharmaceutical SciencesNingbo UniversityNingbo315832China

Microbial communities in marine habitats are regarded as underexplored reservoirs for discovering new natural products with potential ***,only a few microbes in nature can be cultivated in the *** has led to the development of a variety of isolation and cultivation methods,and in situ cultivation is one of the most *** in situ cultivation methods,with the same basic principle,have been applied to a variety of environmental *** with conventional approaches,these new methods are able to cultivate previously uncultured and phylogenetically novel microbes,many with biotechnological *** review introduces the various in situ cultivation methods for the isolation of previously uncultured microbial species and their potential for marine microbial resource ***,studies that investigated the key and previously unidentified mechanisms of growing uncultivated microorganisms by in situ cultivation,which will shed light on the understanding of microbial uncultivability,were also reviewed.

关键词： Uncultured microorganism Marine microbial resource In situ cultivation Microbial diversity

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A novel combined multi-battery dataset based approach for enhanced prediction accuracy of data driven prognostic models in capacity estimation of lithium ion batteries

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能源与人工智能(英文) 2021年第3期5卷 141-149页

作者： Vijay Mohan Nagulapati Hyunjun Lee dawoon jung SalaiSargunan S Paramanantham Boris Brigljevic Yunseok Choi Hankwon Lim School of Energy and Chemical Engineering UNISTUlsanRepublic of Korea Xynergypower Corp Gyeonggi-doRepublic of Korea Department of Energy Engineering UNISTUlsanRepublic of Korea

To ensure smooth and reliable operations of battery systems,reliable prognosis with accurate prediction of State of Health of lithium ion batteries is of utmost ***,battery degradation is a complex challenge involving many electrochemical reactions at anode,separator,cathode and electrolyte/electrode ***,there is significant effect of the operating conditions on the battery *** machine learning tech-niques have been applied to estimate the capacity and State of Health of lithium ion batteries to ensure reliable operation and timely *** this paper,we study the Gaussian Process Regression(GPR)and Support Vector Machine(SVM)model-based approaches in estimating the capacity and State of Health of ***-tery capacity and State of Health estimations are carried out using GPR and SVM models and the predictions comparatively studied for accuracy based on RMSE *** prediction accuracy is further compared with re-spect to single sensor and multi sensor ***,a combined multi battery data set model is used to improve the prediction *** the data of multiple batteries with similar operating conditions for training a model resulted in higher prediction accuracy.

关键词： Capacity estimation State of health Gaussian process regression Support vector machine Lithium ion battery

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连续流生物反应器技术在微生物培养中的应用

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微生物学报 2021年第4期61卷 793-806页

作者：杨晨张为艳 dawoon jung 何山宁波大学食品与药学学院李达三海洋生物医药研究中心浙江宁波315211

自然环境中99%微生物在实验室条件下仍是不能被培养的,称之为“未培养”微生物或微生物“暗物质”。对其进行研究不仅有助于认识环境中微生物代谢多样性,丰富生命之树,同时未培养微生物还蕴含着巨大的新基因和新天然产物资源。但传统培... 详细信息

自然环境中99%微生物在实验室条件下仍是不能被培养的,称之为“未培养”微生物或微生物“暗物质”。对其进行研究不仅有助于认识环境中微生物代谢多样性,丰富生命之树,同时未培养微生物还蕴含着巨大的新基因和新天然产物资源。但传统培养技术的局限性阻碍了“未培养”微生物资源的开发和利用。虽然随着分子生物学技术的发展,可以直接从环境中获得未培养微生物的遗传信息,分析微生物的广泛代谢多样性,但微生物的生理特征和代谢产物等分析仍然需要建立在研究纯菌株的基础上。目前,已经有很多新颖的培养技术被研发,如原位培养技术、共培养技术和连续流生物反应器培养技术等用于挖掘未培养微生物资源。本文主要介绍了连续流生物反应器培养新技术的发展与改进,探讨了“未培养”微生物培养技术及设备的发展方向,以进一步促进“未培养”微生物资源的开发与利用。

关键词： “未培养”微生物培养技术连续流生物反应器微生物资源

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Anti-steatotic and anti-fibrotic effects of the KCa3.1 channel inhibitor, Senicapoc, in non-alcoholic liver disease

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World Journal of Gastroenterology 2017年第23期23卷 4181-4190页

作者： latha paka david e smith dawoon jung siobhan mccormack ping zhou bin duan jing-song li jiaqi shi yong-jie hao kai jiang michael yamin itzhak d goldberg prakash narayan Department of Research and Development Angion Biomedica Corp.

To evaluate a calcium activated potassium channel (KCa3.1) inhibitor attenuates liver disease in models of non-alcoholic fatty liver disease (NAFLD).METHODSWe have performed a series of in vitro and in vivo studies using the KCa3.1 channel inhibitor, Senicapoc. Efficacy studies of Senicapoc were conducted in toxin-, thioacetamide (TAA) and high fat diet (HFD)-induced models of liver fibrosis in rats. Efficacy and pharmacodynamic effects of Senicapoc was determined through biomarkers of apoptosis, inflammation, steatosis and *** of KCa3.1 expression was recorded in TAA-induced and high fat diet-induced liver disease. Treatment with Senicapoc decreased palmitic acid-driven HepG2 cell death. (P < 0.05 vs control) supporting the finding that Senicapoc reduces lipid-driven apoptosis in HepG2 cell cultures. In animals fed a HFD for 6 wk, co-treatment with Senicapoc, (1) reduced non-alcoholic fatty liver disease (NAFLD) activity score (NAS) (0-8 scale), (2) decreased steatosis and (3) decreased hepatic lipid content (Oil Red O, P < 0.05 vs vehicle). Randomization of TAA animals and HFD fed animals to Senicapoc was associated with a decrease in liver fibrosis as evidenced by hydroxyproline and Masson’s trichrome staining (P < 0.05 vs vehicle). These results demonstrated that Senicapoc mitigates both steatosis and fibrosis in liver fibrosis *** data suggest that Senicapoc interrupts more than one node in progressive fatty liver disease by its anti-steatotic and anti-fibrotic activities, serving as a double-edged therapeutic sword.

关键词： High fat diet Liver Steatosis Fibrosis KCa3.1 channel Senicapoc Inflammation

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