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Sound innovations for biofabrication and tissue engineering

Microsystems & Nanoengineering 2024年第6期10卷 1-19页

作者： Mengxi Wu Zhiteng Ma Zhenhua Tian Joseph T.Rich Xin He Jianping Xia Ye He Kaichun Yang Shujie Yang Kam W.Leong Luke P.Lee Tony Jun Huang School of Mechanical Engineering Dalian University of TechnologyDalian 116086 LiaoningChina Thomas Lord Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNC 27708USA Department of Mechanical Engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24060USA Department of Biomedical Engineering Duke UniversityDurhamNC 27708USA Renal Division and Division of Engineering in Medicine Department of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMA 02115USA Department of Biomedical Engineering Columbia UniversityNew YorkNY 10027USA

Advanced biofabrication techniques can create tissue-like constructs that can be applied for reconstructive surgery or as in vitro three-dimensional(3D)models for disease modeling and drug *** various biofabrication techniques have recently been widely reviewed in the literature,acoustics-based technologies still need to be *** rapidly increasing number of publications in the past two decades exploring the application of acoustic technologies highlights the tremendous potential of these *** this review,we contend that acoustics-based methods can address many limitations inherent in other biofabrication techniques due to their unique advantages:noncontact manipulation,biocompatibility,deep tissue penetrability,versatility,precision in-scaffold control,high-throughput capabilities,and the ability to assemble multilayered *** discuss the mechanisms by which acoustics directly dictate cell assembly across various biostructures and examine how the advent of novel acoustic technologies,along with their integration with traditional methods,offers innovative solutions for enhancing the functionality of *** technologies are poised to address fundamental challenges in biofabrication and tissue engineering and show promise for advancing the field in the coming years.

关键词： acoustics limitations innovative

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A nanotherapeutic strategy to target drug-tolerant cells and overcome EGFR tyrosine kinase inhibitor resistance in lung cancer

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Cancer Communications 2023年第4期43卷 503-507页

作者： Tatiana Shaurova Lingyue Yan Yafei Su Laurie James Rich Vui King Vincent-Chong Hannah Calkins Saraswati Pokharel Martin Petkovich Mukund Seshadri Yun Wu Pamela Anne Hershberger Department of Pharmacology and Therapeutics Roswell Park Comprehensive Cancer CenterBuffaloNew YorkUSA Department of Biomedical Engineering University at Buffalothe State University of New YorkBuffaloNew YorkUSA Cell Stress and Biophysical Oncology Graduate Program Roswell Park Comprehensive Cancer CenterBuffaloNew YorkUSA Fujifilm-Visual Sonics Corporation TorontoOntarioCanada Department of Oral Oncology Roswell Park Comprehensive Cancer CenterBuffaloNew YorkUSA Department of Pathology Roswell Park Comprehensive Cancer CenterBuffaloNew YorkUSA Cancer Research Institute School of MedicineQueens UniversityKingstonOntarioCanada

Dear Editor,For patientswith epidermal growth factor receptor(EGFR)mutant non-small cell lung cancer(NSCLC),EGFR tyrosine kinase inhibitors(TKIs)are used as the first-line treatment[1,2].Despite initial therapeutic responses,patients invariably experience disease progression due to acquired drug resistance[3].Resistance arises,in part,because a subset of cancer cells undergoes epithelial-mesenchymal transition(EMT)and remains viable despite exposure to EGFR TKI concentrations that eliminate the bulk population[4].The surviving cells can be re-sensitized to treatment by prolonged culture in the absence of EGFR TKIs,indicating a transient.

关键词： therapeutic viable resistance

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Emulating complex synapses using interlinked proton conductors

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Physical Review Applied 2025年第1期23卷 014027-014027页

作者： Lifu Zhang Ji-An Li Yang Hu Jie Jiang Rongjie Lai Marcus K. Benna Jian Shi Department of Materials Science and Engineering Rensselaer Polytechnic Institute Troy New York 12180 USA Neurosciences Graduate Program University of California San Diego La Jolla California 92093 USA Department of Mathematics Purdue University West Lafayette Indiana 47907 USA Department of Neurobiology School of Biological Sciences University of California at San Diego La Jolla California 92093 USA Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute Troy New York 12180 USA

In terms of energy efficiency and computational speed, neuromorphic electronics based on nonvolatile memory devices are expected to be one of most promising hardware candidates for future artificial intelligence (AI). However, catastrophic forgetting, networks rapidly overwriting previously learned weights when learning new tasks, remains a pivotal obstacle in either digital or analog AI chips for unleashing the true power of brainlike computing. To address catastrophic forgetting in the context of online memory storage, a complex synapse model (the Benna-Fusi model) was proposed recently [M. K. Benna and S. Fusi, Nat. Neurosci. 19, 1697 (2016)], the synaptic weight and internal variables of which evolve following diffusion dynamics. In this work, by designing a proton transistor with a series of charge-diffusion-controlled storage components, we have experimentally realized the Benna-Fusi artificial complex synapse. Memory consolidation from coupled storage components is revealed by both numerical simulations and experimental observations. Different memory timescales for the complex synapse are engineered by the diffusion length of charge carriers and the capacity and number of coupled storage components. The advantages of the demonstrated complex synapse for both memory capacity and memory consolidation are revealed by neural network simulations of face-familiarity detection. Our experimental realization of the complex synapse suggests a promising approach to enhance memory capacity and to enable continual learning.

关键词： Nonvolatile storage

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Technology Roadmap for Flexible Sensors

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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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Computational modeling of the physical features that influence breast cancer invasion into adipose tissue

arXiv

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arXiv 2024年

作者： Zheng, Yitong Wang, Dong Beeghly, Garrett Fischbach, Claudia Shattuck, Mark D. O’Hern, Corey S. Department of Mechanical Engineering & Materials Science Yale University New HavenCT06520 United States Integrated Graduate Program in Physical and Engineering Biology Yale University New HavenCT06520 United States Nancy E. and Peter C. Meinig School of Biomedical Engineering Cornell University IthacaNY14853 United States Benjamin Levich Institute Physics Department City College of New York New YorkNY10031 United States Department of Physics Yale University New HavenCT06520 United States

Breast cancer invasion into adipose tissue strongly influences disease progression and metastasis. The degree of cancer cell invasion into adipose tissue depends on numerous biochemical and physical properties of cancer cells, adipocytes, and other key components of adipose tissue. We model breast cancer invasion into adipose tissue as a physical process by carrying out simulations of active, cohesive spherical particles (cancer cells) invading into confluent packings of deformable polyhedra (adipocytes). We quantify the degree of invasion by calculating the interfacial area At between cancer cells and adipocytes. We determine the long-time value of At versus the activity and strength of the cohesion between cancer cells, as well as mechanical properties of the adipocytes and extracellular matrix (ECM) in which the adipocytes are embedded. We show that the degree of invasion collapses onto a master curve by plotting it versus a dimensionless energy scale Ec, which grows linearly with mean-square fluctuations and persistence time of the cancer cell velocities, is inversely proportional to the pressure of the system, and has an offset that increases with the cancer cell cohesive energy. The condition, Ec 1, indicates that cancer cells will invade the adipose tissue, whereas for Ec 1, the cancer cells and adipocytes remain demixed. We also show that constraints on adipocyte positions by the ECM decrease At relative to that obtained for unconstrained adipocytes. Finally, spatial heterogeneity in structural and mechanical properties of the adipocytes in the presence of ECM impedes invasion relative to adipose tissue with uniform properties. © 2024, CC BY-NC-ND.

关键词： Cancer cells

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The hypothalamus for whole-body physiology:from metabolism to aging

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Protein & Cell 2022年第6期13卷 394-421页

作者： Tiemin Liu Yong Xu Chun-Xia Yi Qingchun Tong Dongsheng Cai State Key Laboratory of Genetic Engineering Department of Endocrinology and MetabolismInstitute of Metabolism and Integrative BiologyHuman Phenome Instituteand Collaborative Innovation Center for Genetics and DevelopmentZhongshan HospitalSchool of Life SciencesFudan UniversityShanghai 200438China Children’s Nutrition Research Center Department of PediatricsDepartment of Molecular and Cellular BiologyBaylor College of MedicineOne Baylor PlazaHoustonTX 77030USA Department of Endocrinology and Metabolism Amsterdam University Medical CentersAmsterdam Gastroenterology Endocrinology MetabolismUniversity of AmsterdamMeibergdreef 91105AZ AmsterdamNetherlands Brown Foundation Institute of Molecular Medicine Department of Neurobiology and AnatomyUniversity of Texas McGovern Medical SchoolGraduate Program in Neuroscience of MD Anderson UTHealth Graduate School of Biomedical SciencesHoustonTX 77030USA Department of Molecular Pharmacology Albert Einstein College of MedicineBronxNew YorkNY 10461USA

Obesity and aging are two important epidemic factors for metabolic syndrome and many other health issues,which contribute to devastating diseases such as cardiovascular diseases,stroke and *** brain plays a central role in controlling metabolic physiology in that it integrates information from other metabolic organs,sends regulatory projections and orchestrates the whole-body *** studies suggest that brain dysfunction in sensing various internal cues or processing external cues may have profound effects on metabolic and other physiological *** review highlights brain dysfunction linked to genetic mutations,sex,brain inflammation,microbiota,stress as causes for whole-body pathophysiology,arguing brain dysfunction as a root cause for the epidemic of aging and obesity-related *** also speculate key issues that need to be addressed on how to reveal relevant brain dysfunction that underlines the development of these disorders and diseases in order to develop new treatment strategies against these health problems.

关键词： neuron metabolism hypothalamus obesity aging

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Importance of considering microscopic structures in modeling brain stimulation

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Brain stimulation 2025年第4期18卷 1150-1152页

作者： Zhen Qi Gregory M Noetscher Alton Miles Konstantin Weise Thomas R Knösche Cameron R Cadman Alina R Potashinsky Kelu Liu William A Wartman Guillermo Nunez Ponasso Marom Bikson Hanbing Lu Zhi-De Deng Aapo Nummenmaa Sergey N Makaroff Electrical and Computer Engineering Department Worcester Polytechnic Institute Worcester MA USA. Electrical and Computer Engineering Department Worcester Polytechnic Institute Worcester MA USA. Electronic address: gregn@wpi.edu. Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany Leipzig University of Applied Sciences (HTWK) Faculty of Engineering Leipzig Germany. Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany. Department of Biomedical Engineering The City College of New York New York NY USA. Neuroimaging Research Branch NIDA Intramural Research Program National Institutes of Health Baltimore MD USA. Computational Neurostimulation Research Program Noninvasive Neuromodulation Unit Experimental Therapeutics and Pathophysiology Branch NIMH National Institutes of Health Baltimore MD USA. Massachusetts General Hospital Harvard Medical School Boston MA USA. Electrical and Computer Engineering Department Worcester Polytechnic Institute Worcester MA USA Massachusetts General Hospital Harvard Medical School Boston MA USA Department of Mathematical Sciences Worcester Polytechnic Institute Worcester MA USA.

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Bolt preload loss due to modal excitation of a c-beam structure 38th

Bolt preload loss due to modal excitation of a c-beam struct...

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38th IMAC, A Conference and Exposition on Structural Dynamics, 2020

作者： Miller, Max Johnson, Chris Sonne, Noah Mersch, John Kuether, Robert J. Smith, Jeff Ortiz, Jonel Castelluccio, Gustavo Moore, Keegan J. Graduate Program in Architectural Acoustics Rensselaer Polytechnic Institute – Troy New YorkNY United States Department of Mechanical Engineering University of Illinois – Urbana ChampaignIL United States Department of Aerospace Engineering University of Colorado – Boulder BoulderCO United States Sandia National Laboratories AlbuquerqueNM United States School of Aerospace Transport and Manufacturing Cranfield University – Cranfield Bedfordshire United Kingdom Department of Mechanical and Materials Engineering University of Nebraska-Lincoln LincolnNE United States

ISBN: (纸本)9783030476250

Bolted joints often risk failure due to the loss of fastener preload when subjected to dynamic, multiaxial loads. This process is a complex problem that depends on multiple attributes such as loading direction, rate, contact within the threads and the interface, material properties, and many others. Current literature suggests that oscillatory shearing loads appear to be most detrimental to the loss of preload in threaded fasteners. To investigate the effect of less idealized loading conditions, an experimental setup employing a bolted c-beam structure is used to study loss of preload from various initial preloads during harmonic excitation near specific resonant frequencies of the structure. The preload force is measured using bolts equipped with internal strain gauges and the structure is excited at specific modes via sine dwell excitation with an electrodynamic shaker. The experiments were designed to measure loss of preload as a function of excitation duration and strength. A finite element model incorporating a fully-threaded joint is developed in parallel to investigate the effectiveness of each at measuring and predicting bolt loosening. © The Society for Experimental Mechanics, Inc 2021.

关键词： Modal analysis

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Scalable Metagrating for Efficient Ultrasonic Focusing

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Physical Review Applied 2021年第6期16卷 064014-064014页

作者： Yan Kei Chiang Li Quan Yugui Peng Shahrokh Sepehrirahnama Sebastian Oberst Andrea Alù David A. Powell School of Engineering and Information Technology University of New South Wales Canberra ACT 2610 Australia Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 USA Photonics Initiative Advanced Science Research Center City University of New York New York New York 10031 USA Centre for Audio Acoustics and Vibration University of Technology Sydney Broadway NSW 2007 Australia Physics Program Graduate Center City University of New York New York New York 10016 USA

Acoustic metalenses have been pursued over the past decades due to their pivotal role in a wide variety of applications. Recent research efforts have demonstrated that, at ultrasonic regimes, acoustic levitation can be realized with standing waves, which are created by the interference between incoming and reflected focused waves. However, the conventional gradient-metasurface approach to focus ultrasonic waves is complex, leading to poor scalability. In this work, we propose a design principle for ultrasonic metalenses, based on metagratings—arrays of discrete scatters with coarser features than gradient metasurfaces. We achieve beam focusing by locally controlling the excitation of a single diffraction order with the use of metagratings, with geometry adiabatically varying over the lens aperture. We show that our metalens can effectively focus impinging ultrasonic waves to a focal point with a full width at half maximum of 0.364 of the wavelength. The focusing performance of the metalens is demonstrated experimentally, validating our proposed approach. This metagrating approach to focusing can be adopted for different operating frequencies by scaling the size of the structure, which has coarse features suitable for high-frequency designs, with potential applications ranging from biomedical science to nondestructive testing.

关键词： Acoustic measurements Acoustic metamaterials Acoustic modeling Acoustic wave phenomena Beam optics Ultrasonics Bloch-Floquet theorem Ultrasound techniques

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Loss of TET2 Uncouples Proliferative and Effector Functions in CAR T Cells

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BLOOD 2020年 136卷 1-1页

作者： Jain, Nayan Zhao, Zeguo Iyer, Archana S. Lopez, Michael Feucht, Judith Koche, Richard P. Zhan, Yingqian Sadelain, Michel Louis V. Gerstner Jr. Graduate School of Biomedical Sciences Memorial Sloan Kettering Cancer Center New York City NY Center for Cell Engineering and Immunology Program Memorial Sloan Kettering Cancer Center New York City NY Center for Epigenetics Research Memorial Sloan Kettering Cancer Center New York City NY

Chimeric antigen receptor (CAR) T cells have opened a new paradigm for the treatment of leukemia and lymphoma. Their production, however, is laborious, requiring tens of millions of CAR T cells per infusion. This constraint could be significantly alleviated if safe and more efficacious T cells could be generated. In a patient with chronic lymphocytic leukemia, treated with anti-CD19 CAR T cells, a recent report described the emergence of a single T cell clone that at its expansion peak accounted for 94% of circulating CAR T cells, coinciding with the development of cytokine release syndrome and tumor regression (Fraietta et. al. Nature 2018). Insertional mutagenesis in this T cell had disrupted an allele of TET2 , an epigenetic regulator mediating the oxidation of 5-methylcytosine. The other allele appeared to bear an inherited hypomorphic variant, resulting in the near complete loss of TET2 function in this clone. To understand the mechanisms accounting for this chance clinical finding, we investigated the effect of TET2 loss in human T cells engineered to express different chimeric receptors. Using CRISPR/Cas9, we edited TET2 in T cells engineered to express a CD19-specific second-generation CAR encompassing the costimulatory domain of either CD28 or 4-1BB (Rv-1928z and Rv-19BBz). TET2 disruption enhanced the in vivo anti-tumor activity of Rv-19BBz but not Rv-1928z CAR T cells tested under stress test conditions using limiting CAR T cell doses (as previously described in a human B cell acute lymphoblastic leukemia (B-ALL) NALM6 model, Zhao et. al. Cancer Cell 2015). Since Rv-1928z induces potent effector differentiation but limited persistence compared to Rv-19BBz, we hypothesized that loss of TET2 could amplify the expansion and persistence of 4-1BB-costimulated T cells but not override the differentiation program imparted by Rv-1928z. To test this hypothesis, we utilized two orthogonal approaches known to limit exhaustion and increase persistence of CD28-costimu

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