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Author Correction: Systematic dissection of tumor-normal single-cell ecosystems across a thousand tumors of 30 cancer types

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Nature communications 2025年第1期16卷 2806页

作者： Junho Kang Jun Hyeong Lee Hongui Cha Jinhyeon An Joonha Kwon Seongwoo Lee Seongryong Kim Mert Yakup Baykan So Yeon Kim Dohyeon An Ah-Young Kwon Hee Jung An Se-Hoon Lee Jung Kyoon Choi Jong-Eun Park Graduate School of Medical Science and Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. Division of Hematology-Oncology Department of Medicine Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea. Division of Cancer Data Science National Cancer Center Bioinformatics Branch Goyang Republic of Korea. Department of Pathology CHA Bundang Medical Center CHA University Seongnam-si Republic of Korea. Division of Hematology-Oncology Department of Medicine Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea. shlee119@skku.edu. Department of Health Sciences and Technology Samsung Advanced Institute of Health Science and Technology Sungkyunkwan University School of Medicine Seoul Republic of Korea. shlee119@skku.edu. Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. jungkyoon@kaist.ac.kr. Penta Medix Co. Ltd. Seongnam-si Gyeonggi-do Republic of Korea. jungkyoon@kaist.ac.kr. Graduate School of Medical Science and Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. jp24@kaist.ac.kr. Biomedical Research Center Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. jp24@kaist.ac.kr.

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Community-developed checklists for publishing images and image analyses

arXiv

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arXiv 2023年

作者： Schmied, Christopher Nelson, Michael S. Avilov, Sergiy Bakker, Gert-Jan Bertocchi, Cristina Bischof, Johanna Boehm, Ulrike Brocher, Jan Carvalho, Mariana Chiritescu, Catalin Christopher, Jana Cimini, Beth A. Conde-Sousa, Eduardo Ebner, Michael Ecker, Rupert Eliceiri, Kevin Fernandez-Rodriguez, Julia Gaudreault, Nathalie Gelman, Laurent Grunwald, David Gu, Tingting Halidi, Nadia Hammer, Mathias Hartley, Matthew Held, Marie Jug, Florian Kapoor, Varun Koksoy, Ayse Aslihan Lacoste, Judith Le Dévédec, Sylvia Le Guyader, Sylvie Liu, Penghuan Martins, Gabriel G. Mathur, Aastha Miura, Kota Llopis, Paula Montero Nitschke, Roland North, Alison Parslow, Adam C. Payne-Dwyer, Alex Plantard, Laure Ali, Rizwan Schroth-Diez, Britta Schütz, Lucas Scott, Ryan T. Seitz, Arne Selchow, Olaf Sharma, Ved P. Spitaler, Martin Srinivasan, Sathya Strambio-De-Castillia, Caterina Taatjes, Douglas Tischer, Christian Jambor, HelenaKlara Fondazione Human Technopole Viale Rita Levi-Montalcini 1 Milano20157 Italy Department of Biomedical Engineering University of Wisconsin-Madison MadisonWI53706 United States Max Planck Institute of Immunobiology and Epigenetics Freiburg79108 Germany Medical BioSciences department Radboud University Medical Centre Nijmegen Netherlands Laboratory for Molecular mechanics of cell adhesions Pontificia Universidad Católica de Chile Santiago Chile Osaka University Graduate School of Engineering Science Japan Euro-BioImaging ERIC Bio-Hub Meyerhofstr. 1 Heidelberg69117 Germany Carl Zeiss AG Carl-Zeiss-Straße 22 Oberkochen73447 Germany BioVoxxel Scientific Image Processing and Analysis Eugen-Roth-Strasse 8 Ludwigshafen67071 Germany Nanophotonics and BioImaging Facility at INL International Iberian Nanotechnology Laboratory 4715-330 Portugal Phi Optics Inc. 1800 S. Oak St Ste 106 ChampaignIL61820 United States Biochemistry Center Heidelberg Heidelberg University Germany Imaging Platform Broad Institute CambridgeMA02142 United States i3S Instituto de Investigação e Inovação Em Saúde and INEB Instituto de Engenharia Biomédica Universidade do Porto Porto Portugal Translational Research Institute Queensland University of Technology 37 Kent Street WoolloongabbaQLD4102 Australia School of Biomedical Sciences Faculty of Health Queensland University of Technology BrisbaneQLD4059 Australia TissueGnostics GmbH Vienna1020 Austria Department of Medical Physics and Biomedical Engineering University of Wisconsin-Madison MadisonWI53706 United States Centre for Cellular Imaging Core Facility Sahlgrenska Academy University of Gothenburg Sweden Allen Institute for Cell Science SeattleWA United States Friedrich Miescher Institute for Biomedical Research Basel Switzerland RNA Therapeutics Institute University of Massachusetts Chan Medical School WorcesterMA01605 United States University of Oklahoma NormanOK United States Advanced Light Microscopy Unit Ce

Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. However for scientists wishing to publish the obtained images and image analyses results, there are to date no unified guidelines. Consequently, microscopy images and image data in publications may be unclear or difficult to interpret. Here we present community-developed checklists for preparing light microscopy images and image analysis for publications. These checklists offer authors, readers, and publishers key recommendations for image formatting and annotation, color selection, data availability, and for reporting image analysis workflows. The goal of our guidelines is to increase the clarity and reproducibility of image figures and thereby heighten the quality and explanatory power of microscopy data is in publications. © 2023, CC BY-SA.

关键词： Image analysis

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In Situ Magnetoelectric Generation of miRNA Sponges and Wireless Electric Stimulus by Conductive Granular Scaffolds for Nerve Regeneration

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Advanced materials (Deerfield Beach, Fla.) 2025年 e2500650页

作者： Wan-Chi Pan Ya-Hui Lin Hoi Man Iao Yun-Hsuan Chang Yin-Hsu Chen Hsiu-Ching Liu Ngoc-Tri Tran I-Chi Lee Hui-Wen Lien Eric Hwang Li-An Chu Shang-Hsiu Hu Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu 300044 Taiwan. Brain Research Center National Tsing Hua University Hsinchu 300044 Taiwan. Institute of Molecular Medicine and Bioengineering National Yang Ming Chiao Tung University Hsinchu 300093 Taiwan. Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu 300093 Taiwan. Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu 300093 Taiwan.

Electronic signaling and microRNA (miRNA) regulation play pivotal roles in determining neuronal cell fate and promoting brain recovery. Despite this, clinical advancements are hindered by the limited availability of tools for spatiotemporal electrical signaling and non-viral gene modulation in neurons in vivo. In this study, a conductive granular scaffold (cGRAS) that doubles as an antenna and neuronal gene delivery agent for targeted miRNA regulation of nerve repair in traumatic brain injury (TBI) is developed. The inherent features of granular scaffolds reduce the inflammation and glial scarring in TBI by mitigating activated microglia and stellate cells. Upon irradiation with an external alternating magnetic field (AMF), the "electromagnetic messenger" induces electrical stimulation to restore brain function and promotes temporal electroporation. This process, together with mechanotransduction capability of cGRAS, enhances the delivery and formation of miRNA sponges both in vitro and in vivo, thereby reducing the overexpression of miR6263, which is significantly upregulated upon neuronal injury. In the whole brain imaging analysis, suppression of inflammation, angiogenesis around the TBI cavity, and infiltration of newborn neurons in the injured area are observed after in situ magnetoelectric formation of miRNA sponges and wireless electric stimulus, leading to improved brain function and behavioral recovery. Overall, this cGRAS represents a potentially innovative and versatile tool for clinical neuronal regeneration engineering.

关键词： electrical stimulus gene delivery granular scaffolds nerve regeneration wireless charging

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Brain-inspired global-local learning incorporated with neuromorphic computing

arXiv

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arXiv 2020年

作者： Wu, Yujie Zhao, Rong Zhu, Jun Chen, Feng Xu, Mingkun Li, Guoqi Song, Sen Deng, Lei Wang, Guanrui Zheng, Hao Ma, Songchen Pei, Jing Zhang, Youhui Zhao, Mingguo Shi, Luping Beijing Innovation Center for Future Chip Optical Memory National Engineering Research Center Department of Precision Instrument Tsinghua University Beijing China Department of Computer Science and Technology Tsinghua University Beijing100084 China Department of Automation Tsinghua University Beijing100084 China Laboratory of Brain and Intelligence Department of Biomedical Engineering IDG/ McGovern Institute for Brain Research CBICR Tsinghua University Beijing China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

Two main routes of learning methods exist at present including error-driven global learning and neuroscience-oriented local learning. Integrating them into one network may provide complementary learning capabilities for versatile learning scenarios. At the same time, neuromorphic computing holds great promise, but still needs plenty of useful algorithms and algorithm-hardware co-designs for exploiting the advantages. Here, we report a neuromorphic hybrid learning model by introducing a brain-inspired meta-learning paradigm and a differentiable spiking model incorporating neuronal dynamics and synaptic plasticity. It can meta-learn local plasticity and receive top-down supervision information for multiscale synergic learning. We demonstrate the advantages of this model in multiple different tasks, including few-shot learning, continual learning, and fault-tolerance learning in neuromorphic vision sensors. It achieves significantly higher performance than single-learning methods, and shows promise in empowering neuromorphic applications revolution. We further implemented the hybrid model in the Tianjic neuromorphic platform by exploiting algorithm-hardware co-designs and proved that the model can fully utilize neuromorphic many-core architecture to develop hybrid computation paradigm. Copyright © 2020, The Authors. All rights reserved.

关键词： Learning systems

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Industrial Internet of Things: Implementations, challenges, and potential solutions across various industries

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Computers in Industry 2025年 170卷

作者： Shaila Afrin Sabiha Jannat Rafa Maliha Kabir Tasfia Farah Md. Sakib Bin Alam Aiman Lameesa Shams Forruque Ahmed Amir H. Gandomi Science and Math Program Asian University for Women Chattogram 4000 Bangladesh Cell & Developmental Biology Program Medical College of Wisconsin Milwaukee WI 53226 USA Biomedical Sciences Program University of Kansas Medical Center Kansas City KS 66103 USA Department of Information Technology University of Information Technology and Sciences Dhaka 1212 Bangladesh Department of Computer Science American International University - Bangladesh (AIUB) Dhaka 1229 Bangladesh School of Mathematical Sciences Sunway University Bandar Sunway Petaling Jaya Selangor Darul Ehsan 47500 Malaysia Department of Mathematics & Physics North South University Dhaka 1229 Bangladesh Faculty of Engineering and Information Technology University of Technology Sydney Sydney NSW 2007 Australia University Research and Innovation Center (EKIK) Óbuda University Budapest 1034 Hungary Department of Computer Science Khazar University Mahsati 41 Baku Azerbaijan

The Industrial Internet of Things (IIoT) has emerged as a potent catalyst for transformation across many industries as a part of Industry 4.0. This review thoroughly examines IIoT applications, demonstrating how it enhances operational efficiency, informed decision-making, cost optimization, innovation, and workplace safety. While prior research has often concentrated on technical dimensions such as fog and edge computing, network protocols, or big data integration, several emerging and high-impact application areas remain underexplored. This study addresses that gap by systematically reviewing IIoT implementations in critical yet often overlooked domains, including environmental monitoring, agriculture, construction, healthcare, robotics, smart grids, and predictive maintenance. It offers fresh insights into how IIoT is being adapted to meet real-world challenges in these sectors. In addition to outlining the current landscape, the review identifies core barriers such as data security, interoperability, and system scalability. It underscores the importance of cross-sector collaboration and strategic alignment to fully leverage the transformative potential of IIoT. The paper concludes by outlining key research gaps and future opportunities to guide continued innovation and scholarly investigation.

关键词： Intelligent manufacturing systems Artificial intelligence Wireless Internet of things Industrial IoT IoT Industry 4.0

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Monitoring magnesium degradation using microdialysis and fabric-based biosensors

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Science China Materials 2018年第4期61卷 643-651页

作者： M.Su Natasha Radha S.P.Malon Dedy H.B.Wicaksono Emma P.Córcoles Hendra Hermawan Faculty of Biosciences and Medical Engineering Universiti Teknologi Malaysia Faculty of Science and Technology Universiti Kebangsaan Malaysia Department of Biomedical Engineering Faculty of Life Sciences and Technology Swiss German University Instituto de Microelectrónica de Barcelona (IMB-CNM) CSIC Campus UAB Department of Mining Metallurgical and Materials Engineering & CHU de Québec Research Center

This paper describes the development of a monitoring system capable of detecting the concentration of magnesium ions(Mg^(2+)) released during the degradation of magnesium implants. The system consists of a microdialysis probe that samples fluid adjacent to the implant and a catalytic biosensor specific to Mg^(2+)ions. The biosensor was fabricated on a cotton fabric platform, in which a mixture of glycerol kinase and glycerol-3-phosphate oxidase enzymes was immobilized on the fabric device via a simple matrix entrapment technique of the cotton fibers. Pure magnesium was used as the implant material. Subsequently, the concentration of ions released from the degradation of the magnesium specimen in Ringer's solution was evaluated using cyclic voltammetry technique. The device demonstrated a pseudo-linear response from 0.005 to 0.1 mmol L^(-1) with a slope of 67.48 μA mmol^(-1) L. Detectable interfering species were lesser than 1%indicating a high selectivity of the fabric device. Furthermore,the device requires only 3 μL of fluid sample to complete the measurement compared to spectroscopic method(±50 μL),hence providing a higher temporal resolution and reduced sampling time. The system could potentially provide a real time assessment of the degradation behavior, a new studied aspect in biodegradable metals research.

关键词： biodegradable metal biosensor fabric device magnesium microdialysis

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Preventing bad behavior in academia

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四川生理科学杂志 2024年第7期46卷 1615-1615页

作者： Rayane da Cruz Albino Faculty of Pharmacy Federal University of Rio de Janeiro Rio de Janeiro RJ Brazil. Department of Host-Microbe Interactions St. Jude Children’s Research Hospital Memphis TN USA. School of the Environment The University of Queensland Whiterock QLD Australia. KU Leuven Ghent Belgium. Laboratory for Computational Social Systems Indraprastha Institute of Information Technology Delhi New Delhi India. University Medical College Shantou Guangdong China. Department of Ecoscience Aarhus Universitet Aarhus Denmark. Institute of Environment and Sustainable Development Banaras Hindu University Varanasi Uttar Pradesh India. Department of Medical Parasitology Faculty of Medicine and Health Sciences Sana’a University Sana’a Yemen and Tropical Disease Research Center Faculty of Medicine and Health Sciences University of Science and Technology Sana’a Yemen. Department of Medicine University of Montreal Montreal QC Canada. Electricity Infrastructure and Buildings Division Pacific Northwest National Laboratory Portland OR USA. Department of Biological Sciences University of New Brunswick Saint John Saint John NB Canada. Department of Biomedical Engineering The University of Melbourne Melbourne VIC Australia. Vagelos Molecular Life Sciences Program University of Pennsylvania Philadelphia PA USA. Doctoral Program in Neurobiology and Behavior Columbia University New York NY USA. Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York NY USA. Department of Engineering University of Cambridge Cambridge Cambridgeshire UK. Department of Geography Liverpool John Moores University Liverpool UK. Department of Biology Stanford University Stanford CA USA. Department of Psychology University of Nicosia Nicosia Cyprus. Department of Global Ecology Carnegie Institution for Science Stanford CA USA. Research and Support Division Stellenbosch University Cape Town South Africa.

We gave young scientists this prompt:Describe one change to scientific policy or culture that would substantially decrease incidents of scientific misconduct or other unethical behavior.

关键词： behavior. prompt culture

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Identification and characterization of isocitrate dehydrogenase 1(IDH1) as a functional target of marine natural product grincamycin B

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中国药理学报（英文版） 2021年第5期42卷 801-813页

作者： Zheng Wang Zeng-xia Li Wen-cao Zhao Hong-bo Huang Jia-qi Wang Hao Zhang Jun-yan Lu Rui-na Wang Wei Li Zhao Cheng Wen-long Xu Di Zhu Li-sha Zhou Wei Jiang Long Yu Jun-yan Liu Cheng Luo Heng Zhu Dan Ye Wei-jun Pan Jian-hua Ju Yong-jun Dang Key Laboratory of Metabolism and Molecular Medicine The Ministry of Education Department of Biochemistry and Molecular Biology School of Basic Medical Sciences Fudan University Shanghai 200032 China State Key Laboratory of Genetic Engineering Institute of Genetics School of Life Sciences Fudan University Shanghai 200438 China Key Laboratory of Metabolism and Molecular Medicine The Ministry of Education Department of Biochemistry and Molecular Biology School of Basic Medical Sciences Fudan University Shanghai 200032 China Key Laboratory of Tissue Microenvironment and Tumor CAS Center for Excellence in Molecular Cell Science Shanghai Institute of Nutrition and Health Shanghai Institutes for Biological Sciences University of Chinese Academy of Sciences Chinese Academy of Sciences (CAS) Shanghai 200031 China CAS Key Laboratory of Tropical Marine Bioresources and Ecology Guangdong Key Laboratory of Marine Materia Medica South China Sea Institute of Oceanology Chinese Academy of Sciences Guangzhou 510301 China State Key Laboratory of Drug Research Shanghai Institute of Materia Medica Chinese Academy of Sciences Shanghai 201203 China Department of Medicinal Chemistry China Pharmaceutical University Nanjing 210009 China Molecular and Cell Biology Laboratory Institutes of Biomedical Sciences Fudan University Shanghai 200032 China State Key Laboratory of Genetic Engineering Institute of Genetics School of Life Sciences Fudan University Shanghai 200438 China Center for Novel Target and Therapeutic Intervention Institute of Life Sciences Chongqing Medical University Chongqing 400016 China Key Laboratory of Metabolism and Molecular Medicine The Ministry of Education Department of Biochemistry and Molecular Biology School of Basic Medical Sciences Fudan University Shanghai 200032 China Department of Pharmacology & Molecular Sciences Johns Hopkins School of Medicine Baltimore MD 21205 USA Key Laboratory of Metabolism and Molecular Medicine The Ministry of Education De

Grincamycins (GCNs) are a class of angucycline glycosides isolated from actinomycete Streptomyces strains that have potent antitumor activities,but their antitumor mechanisms remain *** this study,we tried to identify the cellular target of grincamycin B (GCN B),one of most dominant and active secondary metabolites,using a combined *** showed that GCN B-selective-induced apoptosis of human acute promyelocytic leukemia (APL) cell line NB4 through increase of ER stress and intracellular reactive oxygen species (ROS) *** a strategy of combining phenotype,transcriptomics and protein microarray approaches,we identified that isocitrate dehydrogenase 1(IDH1) was the putative target of GCN B,and confirmed that GCNs were a subset of selective inhibitors targeting both wild-type and mutant IDH1 in *** is well-known that IDH1 converts isocitrate to 2-oxoglutarate (2-OG),maintaining intracellular 2-OG ***1 and its mutant as the target ofGCN B were validated in NB4 cells and zebrafish *** of IDH1 in NB4 cells caused the similar phenotype as GCN B treatment,and supplementation of N-acetylcysteine partially rescued the apoptosis caused by IDH1 interference in NB4 *** zebrafish model,GCN B effectively restored myeloid abnormality caused by overexpression of mutant IDH1 (R132C).Taken together,we demonstrate that IDH1 is one of the antitumor targets of GCNs,suggesting wild-type IDH1 may be a potential target for hematological malignancies intervention in the future.

关键词： grincamycin B marine natural product isocitrate dehydrogenase 1 apoptosis ER stress intracellular ROS Zebrafish embryos hematological malignancies

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Characterization of OA development between sexes in the rat medial meniscal transection model

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Osteoarthritis and Cartilage Open 2020年第3期2卷 100066-100066页

作者： Pucha, Krishna A. McKinney, Jay M. Fuller, Julia M. Willett, Nick J. Research Service VA Medical Center Decatur GA United States Department of Orthopedics Emory University Atlanta GA United States Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta GA United States

Objective: Osteoarthritis (OA) is a chronic degenerative disease of the joints characterized by articular cartilage degradation. While clear sex differences exist in human OA development, most pre-clinical research has been conducted solely in male animals, limiting generalizability of findings to both sexes. The objective of this study was to determine if sex impacts the progression and severity of OA in the rat medial meniscal tear (MMT) preclinical model used to surgically induce OA. It was hypothesized that differences would be observed between males and females following MMT surgery. Design: An MMT model was employed in male and female Lewis rats to induce OA. Animals were euthanized 3 weeks post-surgery and EPIC-μCT was used to quantitatively evaluate articular cartilage structure and composition, osteophyte volumes and subchondral bone structure. Results: Analysis of medial 1/3 articular cartilage, showed increased cartilage thickness and proteoglycan loss in the MMT of both sexes, when compared to sham. Both male and female MMT groups also saw increased subchondral bone mineral density and larger osteophyte volumes. Significant interactions between sex and OA development were seen in normalized cartilage volume (larger in females), and normalized total osteophyte volumes (larger in males). Conclusion: This study demonstrates the viability of both sexes in the rat MMT preclinical OA model. Though clear differences exist, this model can be used to model OA development and evaluate sex as a factor in the efficacy of OA therapeutics. © 2020

关键词： Inbred lewis rats MicroCT Osteoarthritis Sex difference

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Enhancing the Representation of Multiple Anatomical Network for Young Adults with Self-Esteem Difference 12

Enhancing the Representation of Multiple Anatomical Network ...

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12th International Congress on Image and Signal Processing, biomedical engineering and Informatics, CISP-BMEI 2019

作者： Peng, Bo Saxena, Aditya Wang, Suhong Dai, Yakang Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou China Trauma Center Khandwa District Hospital Khandwa India Third Affiliated Hospital Soochow University Department of Neuroscience Changzhou China Suzhou Key Laboratory of Medical and Health Information Technology Suzhou China Nanjing Guoke Medical Engineering Technology Development co. LTD Nanjing China Jinan Guoke Medical Engineering Technology Development co. LTD Jinan China

ISBN: (纸本)9781728148526

Anatomical brain networks help explain how distributed brain area are connected, and the connectivity differences have been used to recognize neuroimaging biomarkers for mental and psychologic symptoms. However, most methods analyzing anatomical brain networks employ single-level network framework, which cannot give an overall representation on the subtle deviations of the whole brain. In this study, we put forward an enhancing representation of multiple anatomical networks for young adults with self-esteem differences. Specifically, we construct a four-layer network framework using both morphological features (i.e. gray matter volume, cortical thickness) for each region of interest (ROI) and hierarchical networks features. Two types of filter-based approaches are adopted, followed by a wrapper-based approach to select a set of distinctive features. Then, multi-kernel machine learning method is used to combine two kinds of features (ROI-based morphological features and hierarchical correlative features) into a single classifier. Our method achieves an accuracy of 97.26%, which has an outstanding performance compared with the single-network methods. This study gives a potential evidence that self-esteem is related to specific ROIs and anatomical brain connections. © 2019 IEEE.

关键词： Magnetic resonance imaging

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