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On-chip multiplexed single-cell patterning and controllable intracellular delivery

Microsystems & Nanoengineering 2020年第1期6卷 1222-1232页

作者： Zaizai Dong Yanli Jiao Bingteng Xie Yongcun Hao Pan Wang Yuanyuan Liu Junfeng Shi Chandani Chitrakar Stephen Black Yu-Chieh Wang LJames Lee Mo Li Yubo Fan Lingqian Chang School of Biological Science and Medical Engineering Beihang University100083 BeijingChina Institute of Nanotechnology for Single Cell Analysis(INSCA) Beijing Advanced Innovation Center for Biomedical EngineeringBeihang University100083 BeijingChina College of Agricultural and Life Sciences University of FloridaGainesvilleFL 32611USA Center for Reproductive Medicine Peking University Third Hospital100191 BeijingChina Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace Northwestern Polytechnical University710072 Xi’anChina Chemical and Biomolecular Engineering Department Ohio State UniversityColumbusOH 43209USA Department of Biomedical Engineering University of North TexasDentonTX 76207USA Department of Pharmaceutical Sciences University of North Texas Health Science CenterFort WorthTX 76107USA

Conventional electroporation approaches show limitations in the delivery of macromolecules in vitro and in *** limitations include low efficiency,noticeable cell damage and nonuniform delivery of ***,we present a simple 3D electroporation platform that enables massively parallel single-cell manipulation and the intracellular delivery of macromolecules and small molecules.A pyramid pit micropore array chip was fabricated based on a silicon wet-etching method.A controllable vacuum system was adopted to trap a single cell on each *** this chip,safe single-cell electroporation was performed at low *** of various sizes ranging from oligonucleotides(molecular beacons,22 bp)to plasmid DNA(CRISPR-Cas9 expression vectors,>9 kb)were delivered into targeted cells with a significantly higher transfection efficiency than that of multiple benchmark methods(e.g.,commercial electroporation devices and Lipofectamine).The delivered dose of the chemotherapeutic drug could be controlled by adjusting the applied *** using CRISPR-Cas9 transfection with this system,the p62 gene and CXCR7 gene were knocked out in tumor cells,which effectively inhibited their cellular ***,this vacuum-assisted micropore array platform provides a simple,efficient,high-throughput intracellular delivery method that may facilitate on-chip cell manipulation,intracellular investigation and cancer therapy.

关键词： inhibited vacuum limitations

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Trapped-mode excitation in all-dielectric metamaterials with loss and gain

arXiv

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arXiv 2022年

作者： Hlushchenko, Anton V. Novitsky, Denis V. Tuz, Vladimir R. State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering International Center of Future Science Jilin University 2699 Qianjin Street Changchun130012 China National Science Center Kharkiv Institute of Physics and Technology National Academy of Sciences of Ukraine 1 Akademicheskaya Street Kharkiv61108 Ukraine School of Radiophysics Biomedical Electronics and Computer Systems V. N. Karazin Kharkiv National University 4 Svobody Square Kharkiv61022 Ukraine

Non-Hermitian photonics based on combining loss and gain media within a single optical system provides a number of approaches to control and generate the flow of light. In this paper, we show that by introducing non-Hermitian perturbation into the system with loss and gain constituents, the high-quality resonances known as trapped modes can be excited without the need to change the symmetry of the unit cell geometry. To demonstrate this idea, we consider a widely used all-dielectric planar metamaterial whose unit cell consists of a pair of rectangular nanoantennas made of ordinal (with loss) and doped (with gain) silicon. Since the quality factor of the trapped-mode resonance can be controlled by changing both spatial symmetry and non-Hermiticity, varying loss and gain allows us to compensate for the influence of asymmetry and restore the quality factor of the localized mode. The results obtained suggest new ways to achieve high-quality resonances in non-Hermitian metamaterials promising for many practical applications in nanophotonics. © 2022, CC BY.

关键词： Metamaterials

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Antibody–siRNA conjugates (ARC): Emerging siRNA drug formulation

引用

Medicine in Drug Discovery 2022年 15卷

作者： Cao, Weiran Li, Rui Pei, Xing Chai, Meihong Sun, Lu Huang, Yuanyu Wang, Jiancheng Barth, Stefan Yu, Fei He, Huining Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics School of Pharmacy Tianjin Medical University Tianjin 300070 China School of Life Science Advanced Research Institute of Multidisciplinary Science Institute of Engineering Medicine Key Laboratory of Molecular Medicine and Biotherapy Beijing Institute of Technology Beijing 100081 China Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems State Key Laboratory of Natural and Biomimetic Drugs School of Pharmaceutical Sciences Peking University XueYuan Rd 38 Haidian Dist Beijing 100191 China South African Research Chair in Cancer Biotechnology Institute of Infectious Disease and Molecular Medicine (IDM) Department of Integrative Biomedical Sciences Faculty of Health Sciences University of Cape Town Anzio Road Observatory Cape Town 7925 South Africa

Antibody–drug conjugates (ADC) utilizing the targeting properties of antibodies and therapeutic effects of drugs have emerged a rapid development in recent years. However, the relatively low drug loading capacity of ADC systems commonly results in failure in delivering enough chemical drugs to the desired areas given a safe antibody dose, therefore the therapeutic efficacy of ADC systems is restricted. With the FDA approval of four siRNA drugs, patisiran, givosiran, lumasiran and inclisiran, the development of siRNAs has regained huge attention of researchers, where the design of delivery system for siRNAs is the key issue for further clinical applications. Inspired by the concept of ADC, the antibody–siRNA conjugates (ARC) have emerged as a potential vehicle for targeted siRNA drug delivery, with the ability to overcome the current obstacles in siRNA delivery. In this review, we summarized the efforts in the development of antibody–siRNA conjugates and hope to provide a basic view for researchers who are interested in this field. © 2022 The Author(s)

关键词： Antibody–drug conjugate Antibody–siRNA conjugate siRNA delivery Targeted delivery

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Unveiling the Effects of Interchain Hydrogen Bonds on Solution Gelation and Mechanical Properties of Diarylfluorene-Based Semiconductor Polymers

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研究（英文） 2021年第2期2020卷 287-301页

作者： Lubing Bai Yamin Han Chen Sun Xiang An Chuanxin Wei Wei Liu Man Xu Lili Sun Ning Sun Mengna Yu He Zhang Qi Wei Chunxiang Xu Yingguo Yang Tianshi Qin Linghai Xie Jinyi Lin Wei Huang Center for Supramolecular Optoelectronics (CSO) Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM)Nanjing Tech University (NanjingTech)30 South Puzhu RoadNanjing 211816China State Key Laboratory of Bioelectronics School of Electronic Science and Medical EngineeringSoutheast UniversityNanjing 210096China Center for Molecular Systems and Organic Devices (CMSOD) Key Laboratory for Organic Electronics and Information Displays &Institute of Advanced Materials (IAM)Nanjing University of Posts & Telecommunications9 Wenyuan RoadNanjing 210023China Frontiers Science Center for Flexible Electronics (FSCFE) Shaanxi Institute of Flexible Electronics (SIFE)Shaanxi Institute of Biomedical Materials and Engineering (SIBME)Northwestern Polytechnical University (NPU)127 West Youyi RoadXi'an 710072China Shanghai Synchrotron Radiation Facility (SSRF) Zhangjiang LabShanghai Advanced Research InstituteChinese Academy of Sciences239 Zhangheng RoadShanghai 201204China Center for Molecular Systems and Organic Devices (CMSOD) Key Laboratory for Organic Electronics and Information Displays &Institute of Advanced Materials (IAM)Nanjing University of Posts & Telecommunications9 Wenyuan RoadNanjing 210023China Frontiers Science Center for Flexible Electronics (FSCFE) Shaanxi Institute of Flexible Electronics (SIFE)Shaanxi Institute of Biomedical Materials and Engineering (SIBME)Northwestern Polytechnical University (NPU)127 West Youyi RoadXi'an 710072China Center for Supramolecular Optoelectronics (CSO) Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM)Nanjing Tech University (NanjingTech)30 South Puzhu RoadNanjing 211816China Frontiers Science Center for Flexible Electronics (FSCFE) Shaanxi Institute of Flexible Electronics (SIFE)Shaanxi Institute of Biomedical Materials and Engineering (SIBME)Northwestern Polytechnical University (NPU)127 West Youyi RoadXi'an 710072China Center for Supramolecular Optoelectronics (CSO) Key Labo

The intrinsically rigid and limited strain of most conjugated polymers has encouraged us to optimize the extensible properties of conjugated ***,learning from the hydrogen bonds in glucose,which were facilitated to the toughness enhancement of cellulose,we introduced interchain hydrogen bonds to polydiarylfluorene by amide-containing side *** tuning the copolymerization ratio,we systematically investigated their influence on the hierarchical condensed structures,rheology behavior,tensile performances,and optoelectronic properties of conjugated *** to the reference copolymers with a low ratio of amide units,copolymers with 30％ and 40％ amide units present a feature of the shear-thinning process that resembled the non-Newtonian fluid,which was enabled by the interchain dynamic hydrogen ***,we developed a practical and universal method for measuring the intrinsic mechanical properties of conjugated *** demonstrated the significant impact of hydrogen bonds in solution gelation,material crystallization,and thin film ***,the breaking elongation for P4 was even up to ～30％,which confirmed the partially enhanced film ductility and toughness due to the increased amide ***,polymer light-emitting devices (PLEDs) based on these copolymers presented comparable performances and stable electroluminescence (EL).Thin films of these copolymers also exhibited random laser emission with the threshold as low as 0.52 μJ/cm2,suggesting the wide prospective application in the field of flexible optoelectronic devices.

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A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines

引用

Science Bulletin 2021年第9期66卷 884-888,M0003页

作者： Yifei Dai Weijie Qiang Yu Gui Xue Tan Tianli Pei Kequan Lin Siwei Cai Liang Sun Guochen Ning Jianxun Wang Hongyan Guo Yimin Sun Jing Cheng Lan Xie Xun Lan Dong Wang State Key Laboratory of Southwestern Chinese Medicine Resources School of Basic Medical SciencesChengdu University of Traditional Chinese MedicineChengdu 611137China Department of Basic Medical Sciences School of MedicineTsinghua UniversityBeijing 100084China Institute of Medicinal Plant Development Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100193China School of Pharmacy Chengdu University of Traditional Chinese MedicineChengdu 611137China High Performance Computing Department National Supercomputing Center in ShenzhenShenzhen 518055China Department of Electronic and Computer Engineering College of EngineeringDrexel UniversityPhiladelphia 19104USA Dongli District Jinqiao Street Community Health Service Center Tianjin 300300China Department of Biomedical Engineering School of MedicineTsinghua UniversityBeijing 100084China School of Life Sciences Beijing University of Chinese MedicineBeijing 100029China National Engineering Research Center for Beijing Biochip Technology Beijing 102206China State Key Laboratory of Membrane Biology School of MedicineTsinghua UniversityBeijing 100084China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases Hangzhou 310003China Medical Systems Biology Research Center School of MedicineTsinghua UniversityBeijing 100084China

The application of traditional Chinese medicine(TCM)has made great contributions to the fight against the epidemic of coronavirus disease-2019(COVID-19).Despite the remarkable therapeutic effects of TCM,the molecular mechanisms of TCM formulae inhibiting COVID-19 are still not fully ***,we cφm-bined the automated high throughput sequencing-based high throughput screening(HTS^(2))assay with bioinformatics and computer-aided drug design(CADD)to investigate the molecular mechanisms of TCM-mediated therapeutic effects on COVID-19-related cytokine storm(Fig.1a).

关键词：细胞因子风暴六君子汤理中汤诊疗方案黄连解毒汤中药提取物肺炎分子机制

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Continuity scaling: A rigorous framework for detecting and quantifying causality accurately

arXiv

引用

arXiv 2022年

作者： Ying, Xiong Leng, Si-Yang Ma, Huan-Fei Nie, Qing Lai, Ying-Cheng Lin, Wei School of Mathematical Sciences SCMS SCAM Fudan University Shanghai200433 China Research Institute for Intelligent Complex Systems CCSB LCNBI Fudan University Shanghai200433 China State Key Laboratory of Medical Neurobiology MOE Frontiers Center for Brain Science Institutes of Brain Science Fudan University Shanghai200032 China Institute of AI and Robotics Academy for Engineering and Technology Fudan University Shanghai200433 China School of Mathematical Sciences Soochow University Suzhou215006 China Department of Mathematics Department of Developmental and Cell Biology NSF-Simons Center for Multiscale Cell Fate Research University of California IrvineCA92697-3875 United States School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287-5706 United States Shanghai Artificial Intelligence Laboratory Shanghai200232 China

Data based detection and quantification of causation in complex, nonlinear dynamical systems is of paramount importance to science, engineering and beyond. Inspired by the widely used methodology in recent years, the cross-map-based techniques, we develop a general framework to advance towards a comprehensive understanding of dynamical causal mechanisms, which is consistent with the natural interpretation of causality. In particular, instead of measuring the smoothness of the cross map as conventionally implemented, we define causation through measuring the scaling law for the continuity of the investigated dynamical system directly. The uncovered scaling law enables accurate, reliable, and efficient detection of causation and assessment of its strength in general complex dynamical systems, outperforming those existing representative methods. The continuity scaling based framework is rigorously established and demonstrated using datasets from model complex systems and the real world. Copyright © 2022, The Authors. All rights reserved.

关键词： Dynamical systems

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Effects of long term isolation on the emotion change of ‘‘Lunar Palace 365” crewmembers

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Science Bulletin 2019年第13期64卷 881-884页

作者： Zikai Hao Yinzhen Zhu Siyuan Feng Chen Meng Dawei Hu Hui Liu Hong Liu Beijing Advanced Innovation Centre for Biomedical Engineering Beihang UniversityBeijing 102402China Institute of Environmental Biology and Life Support Technology School of Biological Science and Medical EngineeringBeihang UniversityBeijing 100083China State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100083China International Joint Research Center of Aerospace Biotechnology & Medical Engineering. Beihang University Beijing 100083China

The psychological health risk is one of the most serious and difficult risks to mitigate during manned deep space exploration[1].In a space capsule or station,the environment is isolated,and communication with the outside is limited to telephone or delayed *** monotonous working schedule also aggravates loneliness and homesickness,which could trigger negative moods,such as depression and ***,an astronaut’s unstable emotional state could be a threat to the safety and performance of a space mission.

关键词： Effects schedule trigger most is be

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HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration

arXiv

引用

arXiv 2021年

作者： Yan, Shuaizheng Chen, Xingyu Wu, Zhengxing Tan, Min Yu, Junzhi The Laboratory of Cognitive and Decision Intelligence for Complex System Institute of Automation Chinese Academy of Sciences Beijing100190 China The Department of Mechanical Engineering Fuzhou University Fuzhou350000 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China Xiaobing.AI Beijing100080 China The State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Peking University Beijing100871 China

Robust vision restoration of underwater images remains a challenge. Owing to the lack of well-matched underwater and in-air images, unsupervised methods based on the cyclic generative adversarial framework have been widely investigated in recent years. However, when using an end-to-end unsupervised approach with only unpaired image data, mode collapse could occur, and the color correction of the restored images is usually poor. In this paper, we propose a data- and physics-driven unsupervised architecture to perform underwater image restoration from unpaired underwater and in-air images. For effective color correction and quality enhancement, an underwater image degeneration model must be explicitly constructed based on the optically unambiguous physics law. Thus, we employ the Jaffe-McGlamery degeneration theory to design a generator and use neural networks to model the process of underwater visual degeneration. Furthermore, we impose physical constraints on the scene depth and degeneration factors for backscattering estimation to avoid the vanishing gradient problem during the training of the hybrid physical-neural model. Experimental results show that the proposed method can be used to perform high-quality restoration of unconstrained underwater images without supervision. On multiple benchmarks, the proposed method outperforms several state-of-the-art supervised and unsupervised approaches. We demonstrate that our method yields encouraging results in real-world applications. © 2021, CC BY-NC-ND.

关键词： Image reconstruction

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Probabilistic learning vector quantization on manifold of symmetric positive definite matrices

arXiv

引用

arXiv 2021年

作者： Sonna, Fengzhen Tang Feng, Haifeng Tino, Peter Si, Bailu Ji, Daxiong State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China School of computer Science University of Birmingham BirminghamB15 2TT United Kingdom School of Systems Science Beijing Normal University Beijing100875 China Institute of Marine Electronics and Intelligent Systems Ocean College Zhejiang University Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province Engineering Research Center of Oceanic Sensing Technology and Equipment Ministry of Education Zhoushan316021 China

In this paper, we develop a new classification method for manifold-valued data in the framework of probabilistic learning vector quantization. In many classification scenarios, the data can be naturally represented by symmetric positive definite matrices, which are inherently points that live on a curved Riemannian manifold. Due to the non-Euclidean geometry of Riemannian manifolds, traditional Euclidean machine learning algorithms yield poor results on such data. In this paper, we generalize the probabilistic learning vector quantization algorithm for data points living on the manifold of symmetric positive definite matrices equipped with Riemannian natural metric (affine-invariant metric). By exploiting the induced Riemannian distance, we derive the probabilistic learning Riemannian space quantization algorithm, obtaining the learning rule through Riemannian gradient descent. Empirical investigations on synthetic data, image data, and motor imagery EEG data demonstrate the superior performance of the proposed method. © 2021, CC BY-NC-SA.

关键词： Learning algorithms

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Entropy-Modulated Short-Chain Cathode for Low-Temperature All-Solid-state Li−S Batteries

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Angewandte Chemie 2024年第1期137卷

作者： Wei Zhao Yan Zhang Qingsong Liu Yajie Song Xu Li Liping Ren Geping Yin Shuaifeng Lou Jiajun Wang MOE Engineering Research Center for Electrochemical Energy Storage and Carbon Neutrality in Cold Regions School of Chemistry and Chemical Engineering Harbin Institute of Technology Harbin 150001 China MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage School of Chemistry and Chemical Engineering Harbin Institute of Technology Harbin 150001 China These authors contributed equally. State Key Laboratory of Robotics and Systems (HIT) Harbin Institute of Technology Harbin 150001 China Suzhou Research Institute of HIT Suzhou 215104 P. R. China

All-solid-state Li−S batteries (ASSLSBs) due to high theoretical energy density and exceptional safety are highly desirable for electric aircraft. However, as the flight altitude rises, the low-temperature performance is hampered by inadequate practical capacity. Here, we discover that low-temperature sulfur utilization is constrained by the multi-step endothermic conversion reaction. By introducing multi-chalcogen to modulate the local entropy, a short-chain molecule cathode is designed to shorten the reduction pathways and enhance low-temperature discharge capacity. Furthermore, the mismatched lithiation lattice of the short-chain cathode reduces the decomposition energy barriers, thus enhancing low-temperature charge/discharge reversibility. The designed short-chain cathode exhibits high cathode utilization (99.4 %) and cycling stability (400 cycles, 92.2 % retention) at room temperature, as well as delivers excellent discharge capacity (579.6 mAh g −1 , −40 °C) and cycling performance (100 cycles, 98.4 % retention, 394.9 Wh kg − 1electrode, −20 °C) at low temperature. This study presents new opportunities to stimulate the development of low-temperature ASSLSBs.

关键词： All-solid-state Li−S batteries low temperature reaction kinetic short-chain molecule high cathode utilization

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