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Technology Roadmap for Flexible Sensors

ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Diamine Surface Passivation and Post-Annealing Enhance Performance of Silicon-Perovskite Tandem Solar Cells

arXiv

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arXiv 2024年

作者： Taddei, Margherita Contreras, Hannah Doan, Hai-Nam McCarthy, Declan P. Seo, Seongrok Westbrook, Robert J.E. Graham, Daniel J. Datta, Kunal Carroy, Perrine Muñoz, Delfina Correa-Baena, Juan-Pablo Barlow, Stephen Marder, Seth R. Smith, Joel A. Snaith, Henry J. Ginger, David S. Department of Chemistry University of Washington SeattleWA98195 United States Department of Physics University of Oxford OxfordOX1 3PU United Kingdom Institute of Materials Science Technical University of Munich München85748 Germany Department of Chemistry University of Colorado-Boulder BoulderCO80309 United States Department of Bioengineering University of Washington SeattleWA98195 United States School of Materials Science and Engineering Georgia Institute of Technology North Ave NW AtlantaGA30332 United States Université Grenoble Alpes CEA Liten Campus Ines Le Bourget du Lac73375 France Renewable and Sustainable Energy Institute University of Colorado-Boulder BoulderCO80309 United States Department of Chemical and Biological Engineering and Materials Science Program University of Colorado-Boulder BoulderCO80309 United States Physical Sciences Division Physical and Computational Sciences Directorate Pacific Northwest National Laboratory RichlandWA99352 United States

We show that the use of 1,3-diaminopropane (DAP) as a chemical modifier at the perovskite/electron-transport layer (ETL) interface enhances the power conversion efficiency (PCE) of 1.7 eV bandgap FACs mixed-halide perovskite single-junction cells, primarily by boosting the open-circuit voltage (VOC) from 1.06 V to 1.15 V. Adding a post-processing annealing step after C60 evaporation, further improves the fill factor (FF) by 20% from the control to the DAP + post-annealing devices. Using hyperspectral photoluminescence microscopy, we demonstrate that annealing helps improve compositional homogeneity at the top and bottom interfaces of the solar cell, which prevents detrimental bandgap pinning in the devices and improves C60 adhesion. Using time-of-flight secondary ion mass spectrometry, we show that DAP reacts with formamidinium present near the surface of the perovskite lattice to form a larger molecular cation, 1,4,5,6-tetrahydropyrimidinium (THP) that remains at the interface. Combining the use of DAP and the annealing of C60 interface, we fabricate Si-perovskite tandems with PCE of 25.29%, compared to 23.26% for control devices. Our study underscores the critical role of chemical reactivity and thermal post-processing of the C60/Lewis-base passivator interface in minimizing device losses and advancing solar-cell performance of wide-bandgap mixed-cation mixed-halide perovskite for tandem application. © 2024, CC BY.

关键词： Perovskite

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Nanomaterials-based flexible and stretchable bioelectronics

Nanomaterials-based flexible and stretchable bioelectronics

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作者： Song, Jun-Kyul Do, Kyungsik Koo, Ja Hoon Son, Donghee Kim, Dae-Hyeong School of Chemical and Biological Engineering Seoul National University Korea Republic of Interdisciplinary Program for Bioengineering Seoul National University Korea Republic of Biomedical Research Institute Korea Institute of Science and Technology Korea Republic of Seoul National University Korea Republic of

Conventional silicon-based electronics have faced challenges in the realization of soft bioelectronics, such as wearable and implantable integrated devices, which necessitate electrically and mechanically interactive biotic-abiotic interfacing without disturbing the daily life of the user or posing biocompatibility issues. Recently, much effort has been directed at overcoming the mechanical limitations of conventional rigid electronics by replacement of bulky, thick, and rigid electronic materials with biocompatible, soft, and nanoscale electronic materials, which exhibit intrinsic mechanical deformability as well as superior electrical properties. Recent advances in the synthesis of unconventional nanomaterials, surface functionalization methods, and integrated device fabrication techniques have resulted in further improvements in the performance of nanomaterials-based soft bioelectronics. Numerous studies have focused on the biological, electrical, and mechanical analyses of heterogeneous nanomaterial-biosystem interfaces as well as the development of efficient integration processes of soft nanomaterials into devices. In this article, we summarize the latest advances and future prospects in nanomaterials synthesis, processing, and integration strategies for flexible and stretchable bioelectronics, and their application to wearable and implantable devices. © Materials Research Society 2019.

关键词： Flexible electronics

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Current status and trends in forest genomics

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Forestry Research 2022年第1期2卷 99-120页

作者： Dulal Borthakur Victor Busov Xuan Hieu Cao Qingzhang Du Oliver Gailing Fikret Isik Jae-Heung Ko Chenghao Li Quanzi Li Shihui Niu Guanzheng Qu Thi Ha Giang Vu Xiao-Ru Wang Zhigang Wei Lin Zhang Hairong Wei Department of Molecular Biosciences and Bioengineering University of Hawaii at Manoa1955 East-West RoadHonoluluHI 96822USA College of Forest Resources and Environmental Science Michigan Technological UniversityHoughtonMI 49931USA Forest Genetics and Forest Tree Breeding Faculty for Forest Sciences and Forest EcologyUniversity of GöttingenBüsgenweg 237077 GöttingenGermany National Engineering Research Center of Tree Breeding and Ecological Restoration College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijing 100083P.R.China Cooperative Tree Improvement Program North Carolina State UniversityRaleighNC 27695USA Department of Plant&Environmental New Resources Kyung Hee University1732 Deogyeong-daeroYongin 17104Republic of Korea State Key Laboratory of Tree Genetics and Breeding Northeast Forestry UniversityHarbin 150040P.R.China State Key Laboratory of Tree Genetics and Breeding Chinese Academy of ForestryBeijing 100093P.R.China Department of Ecology and Environmental Science UmeåPlant Science CentreUmeåUniversityUmeå90187Sweden College of Life Sciences Heilongjiang UniversityHarbin 150080P.R.China Key Laboratory of Cultivation and Protection for Non-Wood Forest Trees Ministry of EducationCentral South University of Forestry and TechnologyChangsha 410004Hunan ProvinceP.R.China

Forests are not only the most predominant of the Earth's terrestrial ecosystems,but are also the core supply for essential products for human ***,global climate change and ongoing population explosion severely threatens the health of the forest ecosystem and aggravtes the deforestation and forest *** genomics has great potential of increasing forest productivity and adaptation to the changing *** the last two decades,the field of forest genomics has advanced quickly owing to the advent of multiple high-throughput sequencing technologies,single cell RNA-seq,clustered regularly interspaced short palindromic repeats(CRISPR)-mediated genome editing,and spatial transcriptomes,as well as bioinformatics analysis technologies,which have led to the generation of multidimensional,multilayered,and spatiotemporal gene expression *** technologies,together with basic technologies routinely used in plant biotechnology,enable us to tackle many important or unique issues in forest biology,and provide a panoramic view and an integrative elucidation of molecular regulatory mechanisms underlying phenotypic changes and *** this review,we recapitulated the advancement and current status of 12 research branches of forest genomics,and then provided future research directions and focuses for each ***,a shift from simple biotechnology-based research to advanced and integrative genomics research,and a setup for investigation and interpretation of many spatiotemporal development and differentiation issues in forest genomics have just begun to emerge.

关键词： forest routine biotechnology

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Integration of MRI and somatosensory evoked potentials facilitate diagnosis of spinal cord compression

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Scientific Reports 2023年第1期13卷 1-12页

作者： Sun, Shu-Pin Phang, Chun-Ren Tzou, Shey-Cherng Chen, Chang-Mu Ko, Li-Wei International Ph.D. Program in Interdisciplinary Neuroscience (UST) College of Biological Science and Technology National Yang Ming Chiao Tung University 734 Engineering Bldg. 5 1001 Daxue Road Hsinchu 30010 Taiwan Department of Medical Research National Taiwan University Hospital Hsin-Chu Branch Hsinchu 300 Taiwan Institute of Molecular Medicine and Bioengineering National Yang Ming Chiao Tung University Hsinchu 300 Taiwan Department of Surgery College of Medicine and Hospital National Taiwan University No. 7 Zhongshan South Road Taipei 10002 Taiwan Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) College of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu 300 Taiwan Institute of Electrical and Control Engineering Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University Hsinchu 300 Taiwan Department of Biomedical Science and Environment Biology and the Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung 807 Taiwan

This study aimed to integrate magnetic resonance imaging (MRI) and related somatosensory evoked potential (SSEP) features to assist in the diagnosis of spinal cord compression (SCC). MRI scans were graded from 0 to 3 according to the changes in the subarachnoid space and scan signals to confirm differences in SCC levels. The amplitude, latency, and time–frequency analysis (TFA) power of preoperative SSEP features were extracted and the changes were used as standard judgments to detect neurological function changes. Then the patient distribution was quantified according to the SSEP feature changes under the same and different MRI compression grades. Significant differences were found in the amplitude and TFA power between MRI grades. We estimated three degrees of amplitude anomalies and power loss under each MRI grade and found the presence or absence of power loss occurs after abnormal changes in amplitude only. For SCC, few integrated approach combines the advantages of both MRI and evoked potentials. However, integrating the amplitude and TFA power changes of SSEP features with MRI grading can help in the diagnosis and speculate progression of SCC. © 2023, The Author(s).

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Erratum to: Materials and devices for flexible and stretchable photodetectors and light-emitting diodes

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Nano Research 2021年第11期14卷 4362-4362页

作者： Jun-Kyul Song Min Sung Kim Seungwon Yoo Ja Hoon Koo Dae-Hyeong Kim Center for Nanoparticle Research Institute for Basic Science(IBS)Seoul08826Republic of Korea School of Chemical and Biological Engineering and Institute of Chemical Processes Seoul National UniversitySeoul08826Republic of Korea Interdisciplinary Program for Bioengineering Seoul National UniversitySeoul08826Republic of Korea Department of Materials Science and Engineering Seoul National UniversitySeoul08826Republic of Korea

Erratum to Nano Research 2021,14(9):2919-2937 https://***/10.1007/s 12274-021-3447-3 The figure caption of Figure 1,instead of Figure 1 Schematic illustration of various nanomaterials and organic materials used in fle... 详细信息

关键词： diodes emitting Figure

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Transdermal nanolipoplex simultaneously inhibits subcutaneous melanoma growth and suppresses systemically metastatic melanoma by activating host immunity

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Nanomedicine: Nanotechnology, Biology, and Medicine 2023年 47卷 102628-102628页

作者： Chen, Chia-Hung Weng, Tzu-Han Chuang, Cheng-Hsun Huang, Kai-Yao Huang, Sih-Cheng Chen, Pin-Rong Huang, Hsiao-Hsuan Huang, Ling-Ya Shen, Pei-Chun Chuang, Po-Ya Huang, Hsiao-Yen Wu, Yi-Syuan Chang, Hao-Chiun Weng, Shun-Long Liao, Kuang-Wen Department of Medical Research Hsinchu MacKay Memorial Hospital Hsinchu City30071 Taiwan Dependent of Medical Education MacKay Memorial Hospital Taipei10449 Taiwan Institute of Molecular Medicine and Bioengineering National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Industrial Development Graduate Program of College of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Department of Medicine MacKay Medical College New Taipei City25245 Taiwan Department of Obstetrics and Gynecology Hsinchu MacKay Memorial Hospital Hsinchu City30071 Taiwan MacKay Junior College of Medicine Nursing and Management Taipei City11260 Taiwan Drug Development and Value Creation Research Center College of Dental Medicine Kaohsiung Medical University School of Dentistry Graduate Institute of Medicine College of Medicine Center for Cancer Research Kaohsiung Medical University Kaohsiung City80708 Taiwan Center for Intelligent Drug Systems and Smart Bio-devices National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Department of Biotechnology and Bioindustry Sciences National Cheng Kung University Tainan City70101 Taiwan Ph.D. Degree Program of Biomedical Science and Engineering National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan

Benefit for clinical melanoma treatments, the transdermal neoadjuvant therapy could reduce surgery region and increase immunotherapy efficacy. Using lipoplex (Lipo-PEG-PEI-complex, LPPC) encapsulated doxorubicin (DOX) and carrying CpG oligodeoxynucleotide;the transdermally administered nano-liposomal drug complex (LPPC-DOX-CpG) would have high cytotoxicity and immunostimulatory activity to suppress systemic metastasis of melanoma. LPPC-DOX-CpG dramatically suppressed subcutaneous melanoma growth by inducing tumor cell apoptosis and recruiting immune cells into the tumor area. Animal studies further showed that the colonization and growth of spontaneously metastatic melanoma cells in the liver and lung were suppressed by transdermal LPPC-DOX-CpG. Furthermore, NGS analysis revealed IFN-γ and NF-κB pathways were triggered to recruit and activate the antigen-presenting-cells and effecter cells, which could activate the anti-tumor responses as the major mechanism responsible for the therapeutic effect of LPPC-DOX-CpG. Finally, we have successfully proved transdermal LPPC-DOX-CpG as a promising penetrative carrier to activate systemic anti-tumor immunity against subcutaneous and metastatic tumor. © 2022

关键词： Tumors

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Decoding Transition between Kinematics Stages for Brain-Machine Interface*

Decoding Transition between Kinematics Stages for Brain-Mach...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Shuhang Chen Xiang Zhang Xiang Shen Yifan Huang Yiwen Wang Program of Bioengineering Hong Kong University of Science and Technology department of Electronic and Computer Engineering Hong Kong University of Science and Technology department of Chemical and Biological Engineering Hong Kong University of Science and Technology

ISBN: (纸本)9781728145709

Brain-machine interfaces (BMIs) translate the neural activity into digital command to control external devices in accomplishing movement task, which could involve multiple stages of behaviors in sequence. Previous work generally discriminates the stage labels using a classifier and uses a combination of sub-decoders designed respectively for each stage. Without considering the time dynamics of neural activity, the classifier often introduces noisy estimation in stage prediction. Brain-controlling neuro-prosthesis requires the decoder to continuously output the kinematics interpretation on brain state for each time instance, including when to start or end each stage within the task smoothly and accurately. We propose to decode the kinematic states within stages and during stage transition in one paradigm. The kinematics state vector is extended, and the time dynamics is modelled in the state-observation framework. We validate our approach on a brain-controlled lever discrimination task. The rats need to adjust the neural activity to press the correct virtual lever and drives the brain state to trigger the start of the next trial. Compared with the existing method whose mean square error is 0.8038, our results show smoother transition prediction and better decoding accuracy with less mean square error which is 0.7922. And the correction rate of holding lever and rest is above 90%. These results help the subjects do the task with even less response time (2.81s) and shorter inter-trial duration (4.5s).

关键词： Decoding Kinematics Pressing Neural activity Task analysis Rats Human factors

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Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond

arXiv

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arXiv 2023年

作者： Takaba, Kenichiro Pulido, Iván Behara, Pavan Kumar Cavender, Chapin E. Friedman, Anika J. Henry, Michael M. MacDermott-Opeskin, Hugo Iacovella, Christopher R. Nagle, Arnav M. Payne, Alexander Matthew Shirts, Michael R. Mobley, David L. Chodera, John D. Wang, Yuanqing Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Pharmaceuticals Research Center Advanced Drug Discovery Asahi Kasei Pharma Corporation Shizuoka410-2321 Japan Center for Neurotherapeutics Department of Pathology and Laboratory Medicine University of California IrvineCA92697 United States Skaggs School of Pharmacy and Pharmaceutical Sciences University of California 9500 Gilman Drive La Jolla San DiegoCA92093 United States Department of Chemical and Biological Engineering University of Colorado Boulder BoulderCO80309 United States Open Molecular Software Foundation DavisCA95618 United States Department of Bioengineering University of California Berkeley BerkeleyCA94720 United States Department of Pharmaceutical Sciences University of California IrvineCA92697 United States Tri-Institutional Ph.D. Program in Chemical Biology Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Simons Center for Computational Physical Chemistry Center for Data Science New York University New YorkNY10004 United States

The development of reliable and extensible molecular mechanics (MM) force fields—fast, empirical models characterizing the potential energy surface of molecular systems—is indispensable for biomolecular simulation and computer-aided drug design. Here, we introduce a generalized and extensible machine-learned MM force field, espaloma-0.3, and an end-to-end differentiable framework using graph neural networks to overcome the limitations of traditional rule-based methods. Trained in a single GPU-day to fit a large and diverse quantum chemical dataset of over 1.1M energy and force calculations, espaloma-0.3 reproduces quantum chemical energetic properties of chemical domains highly relevant to drug discovery, including small molecules, peptides, and nucleic acids. Moreover, this force field maintains the quantum chemical energy-minimized geometries of small molecules and preserves the condensed phase properties of peptides, self-consistently parametrizing proteins and ligands to produce stable simulations leading to highly accurate predictions of binding free energies. This methodology demonstrates significant promise as a path forward for systematically building more accurate force fields that are easily extensible to new chemical domains of interest. © 2023, CC BY.

关键词： Quantum chemistry

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programmable polyketide biosynthesis platform for production of aromatic compounds in yeast

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Synthetic and Systems Biotechnology 2020年第1期5卷 11-18页

作者： Tadas Jakočiūnas Andreas K.Klitgaard Eftychia Eva Kontou Julie Bang Nielsen Emil Thomsen David Romero-Suarez Kai Blin Christopher J.Petzold Jennifer W.Gin Yaojun Tong Charlotte Held Gotfredsen Pep Charusanti Rasmus J.N.Frandsen Tilmann Weber Sang Yup Lee Michael K.Jensen Jay D.Keasling The Novo Nordisk Foundation Center for Biosustainability Technical University of DenmarkKgs.LyngbyDenmark Joint BioEnergy Institute EmeryvilleCAUSA Biological Systems&Engineering Division Lawrence Berkeley National LaboratoryBerkeleyCAUSA Department of Chemical and Biomolecular Engineering&Department of Bioengineering University of California BerkeleyCAUSA Center for Synthetic Biochemistry Institute for Synthetic BiologyShenzhen Institutes for Advanced TechnologiesShenzhenChina Department of Chemistry Technical University of DenmarkKgs.LyngbyDenmark Department of Biotechnology and Biomedicine Technical University of DenmarkKgs.LyngbyDenmark Department of Chemical and Biomolecular Engineering(BK21 Plus Program) Korea Advanced Institute of Science and Technology(KAIST)291 Daehak-roYuseong-guDaejeon34141Republic of Korea

To accelerate the shift to bio-based production and overcome complicated functional implementation of natural and artificial biosynthetic pathways to industry relevant organisms,development of new,versatile,bio-based production platforms is *** we present a novel yeast-based platform for biosynthesis of bacterial aromatic *** platform is based on a synthetic polyketide synthase system enabling a first demonstration of bacterial aromatic polyketide biosynthesis in a eukaryotic host.

关键词： Natural products Synthetic biology Aromatic polyketides CRISPR/Cas9 Polyketide Production platform in eukaryotes Metabolic engineering Biotechnology

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