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Nidogen:A matrix protein with potential roles in musculoskeletal tissue regeneration

Genes & Diseases 2022年第3期9卷 598-609页

作者： Sheng Zhou Song Chen Yixuan Amy Pei Ming Pei Stem Cell and Tissue Engineering Laboratory Department of OrthopaedicsWest Virginia UniversityMorgantownWV 26506USA Department of Orthopaedics The GeneraLHospital of Western Theater CommandChengduSichuan 610083PR China wvu cancer institute Robert C.Byrd Health Sciences CenterWest Virginia UniversityMorgantownWV 26506USA

Basement membrane proteins are known to guide cell structures,differentiation,and tissue repair.Although there is a wealth of knowledge on the functions of laminins,per-lecan,and type IV collagen in maintaining tissue homeostasis,not much is known about nidogen.As a key molecule in the basement membrane,nidogen contributes to the formation of a delicate microenvironment that proves necessary for stem cell lineage-specific differentiation.In this review,the expression of nidogen is delineated at both cellular and tissue levels from embryonic to adult stages of development;the effect of nidogens is also summarized in the context of musculoskeletal development and regeneration,including but not limited to adipogenesis,angiogenesis,chondrogenesis,myogenesis,and neurogenesis.Furthermore,potential mechanisms underlying the role of nidogens in stem cell-based tissue regeneration are also discussed.This concise review is expected to facilitate our existing understanding and utilization of nidogen in tissue engineering and regeneration.

关键词： Adipose Basement membrane Cartilage Differentiation Nerve Nidogens Vessel

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Matrix from urine stem cells boosts tissue-specific stem cell mediated functional cartilage reconstruction

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Bioactive Materials 2023年第5期23卷 353-367页

作者： Ming Pei Yixuan Amy Pei Sheng Zhou Elmira Mikaeiliagah Christopher Erickson Benjamin Giertych Halima Akhter Lei Wang Amanda Stewart Joshua Parenti Bin Wang Sijin Wen Sotcheadt Sim Eric Quenneville Kirk C.Hansen Steven Frisch Gangqing Hu Stem Cell and Tissue Engineering Laboratory Department of OrthopaedicsWest Virginia UniversityMorgantownWVUSA wvu cancer institute Robert C.Byrd Health Sciences CenterWest Virginia UniversityMorgantownWVUSA Perelman School of Medicine University of PennsylvaniaPhiladelphiaPAUSA Department of Biology Ardabil BranchIslamic Azad UniversityArdabilIran Department of Biochemistry&Molecular Genetics University of Colorado DenverAuroraCOUSA Department of Microbiology Immunologyand Cell BiologyWest Virginia UniversityMorgantownWVUSA Department of Foot and Hand Surgery Clinical Medical College of Yangzhou UniversitySubei People’s Hospital of Jiangsu ProvinceYangzhouJiangsuChina Department of Biostatistics School of Public HealthWest Virginia UniversityMorgantownWVUSA Biomomentum Inc. LavalQuebecCanada Department of Biochemistry West Virginia UniversityMorgantownWVUSA Bioinformatics Core West Virginia UniversityMorgantownWVUSA

Articular cartilage has a limited capacity to self-heal once damaged.Tissue-specific stem cells are a solution for cartilage regeneration;however,ex vivo expansion resulting in cell senescence remains a challenge as a large quantity of high-quality tissue-specific stem cells are needed for cartilage regeneration.Our previous report demonstrated that decellularized extracellular matrix(dECM)deposited by human synovium-derived stem cells(SDSCs),adipose-derived stem cells(ADSCs),urine-derived stem cells(UDSCs),or dermal fibroblasts(DFs)provided an ex vivo solution to rejuvenate human SDSCs in proliferation and chondrogenic potential,particularly for dECM deposited by UDSCs.To make the cell-derived dECM(C-dECM)approach applicable clinically,in this study,we evaluated ex vivo rejuvenation of rabbit infrapatellar fat pad-derived stem cells(IPFSCs),an easily accessible alternative for SDSCs,by the abovementioned C-dECMs,in vivo application for functional cartilage repair in a rabbit osteochondral defect model,and potential cellular and molecular mechanisms underlying this rejuvenation.We found that C-dECM rejuvenation promoted rabbit IPFSCs’cartilage engineering and functional regeneration in both ex vivo and in vivo models,particularly for the dECM deposited by UDSCs,which was further confirmed by proteomics data.RNA-Seq analysis indicated that both mesenchymal-epithelial transition(MET)and inflammation-mediated macrophage activation and polarization are potentially involved in the C-dECM-mediated promotion of IPFSCs’chondrogenic capacity,which needs further investigation.

关键词： Decellularized extracellular matrix Tissue-specific stem cell Urine-derived stem cell Rejuvenation Functional cartilage repair

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基于鲁棒局部自适应多视角学习的视点无关人体行为识别(英文)

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Frontiers of Information Technology & Electronic Engineering 2015年第11期16卷 917-929页

作者： Jia-geng FENG Jun XIAO institute of Artificial Intelligence College of Computer Science and Technology Zhejiang University

目的:基于视觉的人体行为识别是一个非常活跃的研究领域。它在智能监控、感知接口和基于内容的视频检索等领域具有广泛的应用前景。然而,一些现实应用场景仍然阻碍行为识别技术的发展,比如现实场景中的动作往往是从任意角度拍摄的。因... 详细信息

目的:基于视觉的人体行为识别是一个非常活跃的研究领域。它在智能监控、感知接口和基于内容的视频检索等领域具有广泛的应用前景。然而,一些现实应用场景仍然阻碍行为识别技术的发展,比如现实场景中的动作往往是从任意角度拍摄的。因此与视点无关的行为识别显得十分重要。大量研究者开始致力于行为识别的视点无关性。本文提出一种基于多视角学习的视点无关人体行为识别方法。创新点:针对现有多视角学习算法在构建近邻图时缺乏数据自适应性的问题,本文提出一种自适应多视角学习算法。此外,还提出一种迭代优化求解方法对所构建的目标函数进行优化求解。方法:对于单个视角下的所有样本特征数据,构建一个该视角下的L1图。在获得数据的稀疏图结构后,对于单视角下的数据,希望学习一种最优的降维方法,在对原始数据进行降维的同时,最大程度地保持数据内在的局部结构信息;对于不同的视角,取一个非负的权重向量来衡量不同视角的重要程度。对于全部的视角可以统一起来得到目标函数。最后利用迭代优化求解,用支持向量机(SVM)分类。结论:将本文所提算法应用到视点无关的行为识别中,实验结果表明:该算法能够自适应地选择近邻数与不同特征的权重;与其他几种对比算法相比,本文所提算法的分类准确率更高。

关键词：视点无关行为识别多视角学习 L1范数

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A Real-Time Power Controller for Grid-Connected Inverters in LV Smart Microgrids

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能源与动力工程（美国大卫英文） 2013年第11期7卷 2156-2163页

作者： Kourosh Sedghisigarchi Yadollah Eslamit Asadollah Davari Electrical and Computer Engineering Department California State University Northridge 91330 USA Department of Engineering Technology West l~rginia University Institute of Technology Montgomery 25136 USA Electrical and Computer Engineering Department West Virginia University Institute of Technology Montgomery 25136 USA

This paper presents a real-time power flow controller for VSIs (voltage source inverters) interfaced to low voltage microgrids. The proposed controller is modular, flexible, intelligent, inexpensive, portable, adaptive and designed to positively contribute in low voltage microgrids in which the lines R/X ratio is greater than the transmission lines. Therefore, the proposed control strategy is developed for operation in distribution lines. The controller strategy is different from the conventional grid-connected inverters which are designed based on transmission line characteristics. This controller, using a Texas Instrument general purpose DSP (digital signal processor), is programmed and tuned using MATLAB/SIMULINK in order to enhance self-healing, reliability and stability of the grid. This general purpose controller makes proper decisions using its local measurements as the primary source of data. The controller has the capability of communicating with the adjacent controllers and sharing the information if/when needed. The power flow output of the inverter is tested for both islanded and grid-connected modes of operation. The inverter positively contributes to active and reactive power supply while operating in grid-connected mode. The proposed control method has been implemented on a Texas Instrument DSC (digital signal controller) chip and tested on a hardware test bench at the Alternative Energy Laboratory at wvuIT (West Virginia University institute of Technology). The system"s experimental results verify the validity and efficiency of the proposed controller.

关键词：电源控制器并网逆变器电网实时智能硬件测试平台 Simulink 数字信号处理器

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