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World Journal of Gastroenterology 2007年第39期13卷 5208-5216页

作者： M Kidd IM Modlin MD Shapiro RL Camp SM Mane W Usinger JR Murren Departments of Surgery Yale University School of Medicine New Haven Connecticut 06520-8062 United States Departments of Pathology Yale University School of Medicine New Haven Connecticut 06520-8062 United States Departments of Affymetrix Resource Keck Biotechnology Resource Laboratory Yale University School of Medicine New Haven Connecticut 06520-8062 United States Fibrogen inc San Francisco CA United States Departments of Medical Oncology Yale University School of Medicine New Haven Connecticut 06520-8062 United States

AIM： To investigate the role of small intestinal carcinoid tumor-derived fibrotic mediators, TGFβ1 and CTGF, in the mediation of fibrosis via activation of an ＂intestinal＂ stellate cell. METHODS： GI carcinoid tumors were collected for Q RT-PCR analysis of CTGF and TGFβ1. Markers of stellate cell desmoplasia were identified in peritoneal fibrosis by immunohistochemistry and stellate cells cultured from fresh resected fibrotic tissue. CTGF and TGFβ1 were evaluated using quantitative tissue array profiling （AQUA analysis） in a GI carcinoid tissue microarray （TMA） with immunostaining and correlated with clinical and histologically documented fibrosis. Serum CTGF was analyzed using a sandwich ELISA assay. RESULTS： Message levels of both CTGF and TGFβ1 in SI carcinoid tumors were significantly inc.eased （〉 2-fold, P 〈 0.05） versus normal mucosa and gastric （non-fibrotic） carcinoids. Activated stellate cells and markers of stellate cell-mediated fibrosis （vimentin, desmin） were identified in histological fibrosis. An intestinal stellate cell was immunocytochemically and biochemically characterized and its TGFβ1 （10-7M） initiated CTGF transcription response （〉 3-fold, P 〈 0.05） demonstrated. In SI carcinoid tumor patients with documented fibrosis, TMA analysis demonstrated higher CTGF immunostaining （AQUA Score： 92 ± 8, P 〈0.05）, as well as elevated TGFβ1 （90.6 ± 4.4, P 〈 0.05）. Plasma CTGF （normal 12.5 ± 2.6 ng/mL） was inc.eased in SI carcinoid tumor patients （31 ± 10 ng/mL, P 〈 0.05） compared to non-fibrotic GI carcinoids （〈 15 ng/mL） CONCLUSION： SI carcinoid tumor fibrosis is a CTGF/ TGFβl-mediated stellate cell-driven fibrotic response. The delineation of the biology of fibrosis will facilitate diagnosis and enable development of agents to obviate its local and systemic complications.

关键词： Carcinoid Connective tissue growth factor fibrosis Small intestine Stellate cell TGFI

Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm

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npj Computational Materials 2019年第1期5卷 569-579页

作者： Stephen Wu Yukiko Kondo Masa-aki Kakimoto Bin Yang Hironao Yamada Isao Kuwajima Guillaume Lambard Kenta Hongo Yibin Xu Junichiro Shiomi Christoph Schick Junko Morikawa Ryo Yoshida The Institute of Statistical Mathematics Research Organization of Information and SystemsTachikawaTokyo 190-8562Japan The Graduate University for Advanced Studies TachikawaTokyo 190-8562Japan Center for Materials research by Information Integration(CMI2) Research and Services Division of Materials Data and Integrated System(MaDIS)National Institute for Materials Science(NIMS)TsukubaIbaraki 305-0047Japan Institute of Physics and Competence Centre CALOR University of Rostock18059 RostockGermany Japan Advanced Institute of Science and Technology NomiIshikawa 923-1292Japan PRESTO JSTKawaguchiSaitama 332-0012Japan The University of Tokyo Bunkyo-kuTokyo 113-8656Japan Tokyo Tech World Research Hub Initiative(WRHI) Tokyo Institute of TechnologyTokyo 226-8503Japan Tokyo Institute of Technology Meguro-kuTokyo 152-8550Japan

The use of machine learning in computational molecular design has great potential to accelerate the discovery of innovative ***,its practical benefits still remain unproven in real-world applications,particularly in polymer *** demonstrate the successful discovery of new polymers with high thermal conductivity,inspired by machine-learning-assisted polymer *** discovery was made by the interplay between machine intelligence trained on a substantially limited amount of polymeric properties data,expertise from laboratory synthesis and advanced technologies for thermophysical property *** a molecular design algorithm trained to recognize quantitative structure—property relationships with respect to thermal conductivity and other targeted polymeric properties,we identified thousands of promising hypothetical *** these candidates,three were selected for monomer synthesis and polymerization because of their synthetic accessibility and their potential for ease of processing in further *** synthesized polymers reached thermal conductivities of 0.18–0.41 W/mK,which are comparable to those of state-of-the-art polymers in non-composite thermo-plastics.

关键词： conductivity thermal property

Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges

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Plant Communications 2021年第4期2卷 89-99页

作者： Marcin Grzybowski Nuwan K.Wijewardane Abbas Atefi Yufeng Ge James C.Schnable Center for Plant Science Innovation and Department of Agronomy and Horticulture University of Nebraska-LincolnLincolnNEUSA Department of Plant Molecular Ecophysiology Institute of Plant Experimental Biology and BiotechnologyFaculty of BiologyUniversity of WarsawWarsawPoland Department of Biological systems Engineering University of Nebraska-LincolnLincolnNEUSA Department of Agricultural Biological Engineering Mississippi State UniversityStarkvilleMSUSA

Many biochemical and physiological properties of plants that are of interest to breeders and geneticists have extremely low throughput and/or can only be measured *** has limited the use of information on natural variation in nutrient and metabolite abundance,as well as photosynthetic capacity in quantitative genetic contexts where it is necessary to collect data from hundreds or thousands of plants.A number of recent studies have demonstrated the potential to estimate many of these traits from hyperspectral reflectance data,primarily in ecophysiological ***,we summarize recent advances in the use of hyperspectral reflectance data for plant phenotyping,and discuss both the potential benefits and remaining challenges to its application in plant genetics *** performances of previously published models in estimating six traits fromhyperspectral reflectance data in maizewere evaluated on newsample datasets,and the resulting predicted trait values shown to be heritable(e.g.,explained by genetic factors)were *** adoption of hyperspectral reflectance-based phenotyping beyond its current uses may accelerate the study of genes controlling natural variation in biochemical and physiological traits.

关键词： hyperspectral reflectance phenotyping quantitative genetics maize

Label-Free White Blood Cell Classification Using Refractive Index Tomography and Deep Learning

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Biomedical Engineering Frontiers 2021年第1期2卷 18-26页

作者： DongHun Ryu Jinho Kim Daejin Lim Hyun-Seok Min In Young Yoo Duck Cho YongKeun Park Department of Physics Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea KAIST Institute for Health Science and Technology KAISTDaejeon 34141Republic of Korea Department of Health Sciences and Technology Samsung Advanced Institute For Health Sciences and TechnologySungkyunkwan UniversitySeoul 06355Republic of Korea Department of Health and Safety Convergence Science Korea UniversitySeoul 02841Republic of Korea Department of Laboratory Medicine and Genetics Samsung Medical CenterSungkyunkwan University School of MedicineSeoul 06351Republic of Korea Tomocube Inc.Daejeon 34051Republic of Korea Department of Laboratory Medicine Seoul St.Mary’s HospitalCollege of MedicineThe Catholic University of KoreaSeoul 06591Republic of Korea Stem Cell&Regenerative Medicine Institute Samsung Medical CenterSeoul 06531Republic of Korea

Objective and Impact *** propose a rapid and accurate blood cell identification method exploiting deep learning and label-free refractive index(RI)*** computational approach that fully utilizes tomographic information of bone marrow(BM)white blood cell(WBC)enables us to not only classify the blood cells with deep learning but also quantitatively study their morphological and biochemical properties for hematology *** methods for examining blood cells,such as blood smear analysis by medical professionals and fluorescence-activated cell sorting,require significant time,costs,and domain knowledge that could affect test *** label-free imaging techniques that use a specimen’s intrinsic contrast(e.g.,multiphoton and Raman microscopy)have been used to characterize blood cells,their imaging procedures and instrumentations are relatively time-consuming and *** RI tomograms of the BM WBCs are acquired via Mach-Zehnder interferometer-based tomographic microscope and classified by a 3D convolutional neural *** test our deep learning classifier for the four types of bone marrow WBC collected from healthy donors(n=10):monocyte,myelocyte,B lymphocyte,and T *** quantitative parameters of WBC are directly obtained from the *** results show>99%accuracy for the binary classification of myeloids and lymphoids and>96%accuracy for the four-type classification of B and T lymphocytes,monocyte,and *** feature learning capability of our approach is visualized via an unsupervised dimension reduction *** envision that the proposed cell classification framework can be easily integrated into existing blood cell investigation workflows,providing cost-effective and rapid diagnosis for hematologic malignancy.

关键词： Blood diagnosis utilize

正常人标准胸导联和Mason-Likar胸导联心电图波段定量比较

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诊断学理论与实践 2008年第4期7卷 387-389页

作者：王鸿珍刘霞 Sophia Zhou 上海交通大学医学院附属瑞金医院心脏科 200025 Advanced Algorithm Research Center Philips Medical Systems Thousand Oaks USA

目的:对我国正常人群标准12导联(标准导联)和Mason-Likar导联系统所记录胸导联心电图的波段进行定量比较。方法:选择84例冠状动脉造影和心脏超声检查结果均正常者作为研究对象,其均接受标准导联加Mason-Likar导联心电图记录检查,观察2... 详细信息

目的:对我国正常人群标准12导联(标准导联)和Mason-Likar导联系统所记录胸导联心电图的波段进行定量比较。方法:选择84例冠状动脉造影和心脏超声检查结果均正常者作为研究对象,其均接受标准导联加Mason-Likar导联心电图记录检查,观察2种导联系统胸导联心电图中以下测定值的相关性及差异,包括R波振幅、ORS波振幅、ST段值[J点(ST on)、J点后0.08 s(ST 80 ms)和终点(ST end)]、ST段斜率及T波振幅结果:标准导联与Mason-Likar导联系统所记录的胸导联心电图存在良好相关性,但也存在统计学差异(P<0.001)。与标准胸导联相比.Mason-Likar胸导联心电图差异包括部分导联QRS波振幅明显降低、ST段显著下移伴V_1～V_6导联T波振幅下降,V_1导联中各波段降低均较显著(p均<0.001);Mason-Likar各胸导联中ST段的降低幅度均超过同一导联QRS波和T波的幅度改变,以V_6导联变化最显著。平均体重指数(BMI)与V_1、V_3导联QRS波振幅的改变呈负相关;V_1、V_2导联ST80ms与T波振幅、QRS波振幅的改变呈正相关,结论:标准导联与Mason-Likar导联系统所记录心电图波段有一定差异。

关键词：心电图导联系统差异

Early detection of COVID-19 using characteristic leucocyte differential count (CLDC)

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Life Research 2020年第3期3卷 101-107页

作者： Mark R Baker Jessica Rogge Complex systems Research Division Hypatia Solutions Ltd&MediChain LtdImpact Hub Kings CrossLondonUK

Background:COVID-19 is an acute infection of the respiratory tract that emerged in late *** identified methods for identifying the severe acute respiratory syndrome coronavirus 2 virus inc.ude methods that detect the presence of the virus itself,such as reverse transcription PCR and isothermal amplification methods,and those that detect antibodies produced in response to the *** transcription PCR and quantitative PCR are highly sensitive but have a narrow time window of ***:We investigated a new method to detect the occurrence of severe acute respiratory syndrome coronavirus 2 by analyzing the early rise in leukocyte levels which has a characteristic set of ratios of leukocyte types which identify the viral pathogen and distinguish it from a number of *** used the Albert Einstein Hospital,São Paulo data set and the Athena AI System to validate this ***:The sensitivity of the test is up to 98.67%prediction of positives from full blood count ***:We have discovered an early test for SARS-CoV-2 which can be performed using a black-boxed AI to give high sensitivity prediction of COVID-19 infection.

关键词： COVID-19 SARS-CoV-2 H1N1 H5N1 Pandemic testing Early-diagnosis Mass screening Hometesting

Boosting wheat functional genomics via an indexed EMS mutant library of KN9204

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Plant Communications 2023年第4期4卷 58-76页

作者： Dongzhi Wang Yongpeng Li Haojie Wang Yongxin Xu Yiman Yang Yuxin Zhou Zhongxu Chen Yuqing Zhou Lixuan Gui Yi Guo Chunjiang Zhou Wenqiang Tang Shuzhi Zheng Lei Wang Xiulin Guo Yingjun Zhang Fa Cui Xuelei Lin Yuling Jiao Yuehui He Junming Li Fei He Xigang Liu Jun Xiao Key Laboratory of Plant Cell and Chromosome Engineering Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing 100101China Ministry of Education Key Laboratory of Molecular and Cellular Biology Hebei Key Laboratory of Molecular and Cellular BiologyCollege of Life SciencesHebei Normal UniversityHebei Collaboration Innovation Center for Cell SignalingShijiazhuang 050024China Center for Agricultural Resources Research Institute of Genetics and Development BiologyChinese Academy of SciencesShijiazhuang 050022China University of Chinese Academy of Sciences Beijing 100049China Department of Life Science TcuniIncChengdu 610000China State Key Laboratory of Protein and Plant Gene Research Peking-Tsinghua Center for Life SciencesSchool of Life SciencesCenter for Quantitative BiologyPeking UniversityBeijing 100871China State Key Laboratory of Protein and Plant Gene Research School of Advanced Agricultural SciencesPeking-Tsinghua Center for Life SciencesPeking UniversityBeijing 100871China Plant Genetic Engineering Center of Hebei Provinc. Institute of Biotechnology and Food ScienceHebei Academy of Agriculture and Forestry SciencesShijiazhuang 050051China Institute ofCereal and OilCrops Hebei Academy of Agriculture and Forestry SciencesLaboratory of CropGenetics andBreeding ofHebeiShijiazhuang 050035China Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong College of AgricultureLudong UniversityYantai 264025China Centre of Excellence for Plant and Microbial Science(CEPAMS) JIC-CASBeijing 100101China

A better understanding of wheat functional genomics can improve targeted breeding for better agronomic traits and environmental ***,the lack of gene-indexed mutants and the low transformation efficiency of wheat limit in-depth gene functional studies and genetic manipulation for *** this study,we created a library for KN9204,a popular wheat variety in northern China,with a reference genome,transcriptome,and epigenome of different tissues,using ethyl methyl sulfonate(EMS)*** library contains a vast developmental diversity of critical tissues and transition *** capture sequencing of 2090 mutant lines using KN9204 genome-designed probes revealed that 98.79%of coding genes had mutations,and each line had an average of 1383 EMS-type *** identified new allelic variations for crucial agronomic trait-related genes such as Rht-D1,Q,TaTB1,and *** tested 100 lines with severemutations in 80 NAC transcription factors(TFs)under drought and salinity stress and identified 13 lines with altered *** analysis of three lines using transcriptome and chromatin accessibility data revealed hundreds of direct NAC targets with altered transcription patterns under salt or drought stress,inc.uding SNAC1,DREB2B,CML16,and ZFP182,factors known to respond to abiotic ***,we have generated and indexed a KN9204 EMS mutant library that can facilitate functional genomics research and offer resources for genetic manipulation of wheat.

关键词： wheat exome capture sequencing EMS mutagenesis functional genomics

儿童沟通障碍概念与临床筛查诊断的发展与探讨

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医学综述 2020年第22期26卷 4369-4373页

作者：梁爱民王信懿廖雅姿国家儿童医学中心首都医科大学附属北京儿童医院保健中心北京100045 哈佛大学公共卫生学院美国马萨诸塞州波士顿02138 PenguinSmart inc. 美国加利福尼亚州贝尔蒙特94002 长庚大学早期疗育研究所中国台湾桃园333

沟通障碍是指因先天或后天因素造成个体在接收、传递、处理或理解口语、非口语或符号系统方面存在能力缺陷,可表现不同程度和不同形式。儿童沟通障碍诊断的延迟与各地区概念的差异、有效筛查工具不同、专业知识的发展不平衡等有关。目前... 详细信息

沟通障碍是指因先天或后天因素造成个体在接收、传递、处理或理解口语、非口语或符号系统方面存在能力缺陷,可表现不同程度和不同形式。儿童沟通障碍诊断的延迟与各地区概念的差异、有效筛查工具不同、专业知识的发展不平衡等有关。目前,我国儿童沟通障碍的概念、诊断标准及标准化评估方法、早期干预系统发展相对缓慢,缺乏系统性研究,具有发展空间。未来,在概念以及诊断标准等方面需进一步实践及研究,针对诊疗及干预需要制订可操作性的指南标准。

关键词：儿童沟通障碍发育国际标准发育评估

利用微计算机断层扫描技术重建褐飞虱内部结构

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浙江大学学报（农业与生命科学版） 2022年第6期48卷 797-806页

作者：舒润国周行曹子雄贺康李飞浙江大学农业与生物技术学院昆虫科学研究所浙江省作物病虫生物学重点实验室杭州310058 Object Research systems(ORS)公司加拿大蒙特利尔(魁北克)H3B 1A7

褐飞虱(Nilaparvata lugens)是一种重要的水稻害虫。本研究利用微计算机断层扫描技术(micro-computer tomography technology, Micro CT)获得了褐飞虱成虫的断层扫描图,通过人工建模和深度学习相结合的方式对褐飞虱内部组织和器官进行... 详细信息

褐飞虱(Nilaparvata lugens)是一种重要的水稻害虫。本研究利用微计算机断层扫描技术(micro-computer tomography technology, Micro CT)获得了褐飞虱成虫的断层扫描图,通过人工建模和深度学习相结合的方式对褐飞虱内部组织和器官进行三维建模,获得了褐飞虱中枢神经系统、肌肉组织、消化道和生殖系统的三维模型,保留了这些结构的原始形态,准确地还原了褐飞虱体内各组织和器官的空间排布,并利用Dragonfly软件对昆虫的内部组织进行了空间体积的测量分析。本研究建立并完善了昆虫组织和器官的三维建模技术,有助于更为精准地观察昆虫的内部组织结构,可用于昆虫形态和器官发育的表型观察,为昆虫发育和基因功能研究提供了新技术和新方法。

关键词：微计算机断层扫描技术褐飞虱内部结构三维重构表型组学