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电子科技大学学报 2024年第2期53卷 185-193页

作者：邢向龙王倩康成彭姜灵李清俞军复旦大学微电子学院上海200433 上海复旦微电子集团股份有限公司上海200438

该文设计了一款16位、转换速率为625 kS/s的逐次逼近寄存器型模数转换器(SAR ADC)。改进的采样保持电路结构,优化了采样线性度和噪声性能。采用分段结构设计电容型数模转换器并使用混合方式的电容切换方案,减小面积和能耗。利用扰动注... 详细信息

该文设计了一款16位、转换速率为625 kS/s的逐次逼近寄存器型模数转换器(SAR ADC)。改进的采样保持电路结构,优化了采样线性度和噪声性能。采用分段结构设计电容型数模转换器并使用混合方式的电容切换方案,减小面积和能耗。利用扰动注入技术提升ADC的线性度。比较器采用两级积分型预放大器减小噪声,利用输出失调存储技术及优化的电路设计减小了比较器失调电压和失调校准引入的噪声,优化并提升了比较器速度。芯片采用CMOS 0.18μm工艺设计和流片,ADC核心面积为1.15 mm^(2)。测试结果表明,在1 kHz正弦信号输入下,ADC差分输入峰峰值幅度达8.8 V,信纳比为85.9 dB,无杂散动态范围为110 dB,微分非线性为-0.27/+0.32 LSB,积分非线性为-0.58/+0.53 LSB,功耗为4.31 mW。

关键词：模数转换器数模转换器低噪声比较器失调校准采样保持逐次逼近寄存器

宿主蛋白TOB1通过IFN和EGFR通路影响口蹄疫病毒感染

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中国兽医科学 2024年第8期54卷 1136-1136页

作者： Gaochuang peng Tianran Liu Xiaolan Qi Yuzhe Wang Jingjing Ren jiangling peng Xuguang Du Siyu Hu Sen Wu Yaofeng Zhao Dan Li Haixue Zheng State Key Laboratory of Animal Biotech Breeding College of Biological Sciences National Engineering Laboratory for Animal Breeding Frontiers Science Center for Molecular Design Breeding China Agricultural University Beijing China State Key Laboratory for Animal Disease Control and Prevention College of Veterinary Medicine Lanzhou University Lanzhou Veterinary Research Institute Chinese Academy of Agricultural Sciences Lanzhou China

口蹄疫病情(FMDV)在与宿主相互作用中进化出了一系列逃逸宿主抗病毒免疫的策略,在分子水平深入挖掘FMDV与宿主相互作用机制是高效疫苗研发和抗病分子育种的前提。2024年3月PLoS Pathogens杂志发表了“A genome-wide CRISPR screening un... 详细信息

口蹄疫病情(FMDV)在与宿主相互作用中进化出了一系列逃逸宿主抗病毒免疫的策略,在分子水平深入挖掘FMDV与宿主相互作用机制是高效疫苗研发和抗病分子育种的前提。2024年3月PLoS Pathogens杂志发表了“A genome-wide CRISPR screening uncovers that TOB1acts as a key host factor for FMDV infection via both IFN and EGFR mediated pathways”的研究论文,论文的通讯作者为吴森教授、赵要风教授、李丹研究员、郑海学研究员。该研究利用CRISPR/Cas9敲除技术,在全基因组水平筛选了猪源细胞中与FMDV感染相关的重要宿主因子。

关键词：口蹄疫病毒抗病毒免疫 FMDV 分子育种宿主蛋白相互作用机制

Comprehensive Characterization of the Integrin Family Across 32 Cancer Types

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Genomics, Proteomics & Bioinformatics 2024年第4期22卷 77-98页

作者： Cheng Zou Jinwei Zhu jiangling Xiong Yu Tian Yousong peng Edwin Cheung Dingxiao Zhang Hunan Key Laboratory of Animal Models and Molecular Medicine School of Biomedical SciencesHunan UniversityChangsha 410082China College of Biology Hunan UniversityChangsha 410082China Faculty of Health Sciences University of MacaoMacao Special Administrative Region 999078China

Integrin genes are widely involved in ***,a comprehensive characterization of integrin family members and their interactome at the pan-cancer level is ***,we systematically analyzed integrin family in approximately 10,000 tumors across 32 cancer ***,integrins represent a frequently altered and misexpressed pathway,with alteration and dysregulation overall being *** dysregulation,better than mutational landscape,of integrin family successfully identifies a subgroup of aggressive tumors with a high level of proliferation and *** results reveal that several molecular mechanisms collectively regulate integrin expression in a context-dependent *** potential clinical usage,we constructed a weighted scoring system,integrinScore,to measure integrin signaling patterns in individual ***,integrinScore was consistently correlated with predefined molecular subtypes in multiple cancers,with integrinScore-high tumors being more ***,integrinScore was cancer-dependent and closely associated with proliferation,stemness,tumor microenvironment,metastasis,and immune *** also predicted patients’response to *** mining drug databases,we unraveled an array of compounds that may modulate integrin ***,we built a userfriendly database,Pan-cancer Integrin Explorer(PIExplorer;http://***/PIExplorer),to facilitate researchers to explore integrin-related ***,we provide a comprehensive characterization of integrins across cancers and offer gene-specific and cancer-specific rationales for developing integrin-targeted therapy.

关键词： Integrin Pan-cancer Tumor microenvironment Immunotherapy Transcriptional regulation

Patterns of grassland community composition and structure along an elevational gradient on the Qinghai–Tibet Plateau

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Journal of Plant Ecology 2022年第4期15卷 808-817页

作者： Xin Wang jiangling Zhu Shitao peng Tianli Zheng Zhaoyu Qi Jianbo Hu Chengjun Ji State Key Laboratory of Grassland Agro-ecosystems College of Pastoral Agricultural Science and TechnologyLanzhou UniversityLanzhou 730020China Department of Ecology College of Urban and Environmental ScienceKey Laboratory for Earth Surface Processes of the Ministry of EducationPeking UniversityBeijing 100871China Environmental Science and Technology Research Center Tianjin Research Institute for Water Transport EngineeringM.O.T.Tianjin 300456China

Grasslands in the Qinghai–Tibet Plateau play an important role in preserving ecological security and high biodiversity in this ***,the distribution of the composition and structure of plant community and the mechanism by which it maintains itself in this region are still poorly ***,we designed 195 grassland plots in 39 grassland sites along an approximately 1700 m elevation gradient on the Northeastern Qinghai–Tibet *** found that the grassland community height decreased significantly with increasing elevation,whereas community coverage did not significantly *** increasing elevation,plant species richness(αdiversity)increased significantly,but the community variability(βdiversity)decreased *** constrained clustering analysis suggested that theα-andβ-diversity in the grasslands transformed gradually with elevation,and that three discontinuous points(based on community structure)were observed at elevation of 3640,4252 and 4333 *** equation modeling(SEM)indicated that the increase in precipitation and the decrease in temperature significantly positively influencedαdiversity,which was negatively correlated withβ*** results demonstrate a quantitative-to-qualitative change in the community composition and structure along this elevational gradient on the Qinghai–Tibet Plateau.

关键词： alpha diversity beta diversity elevational gradient Qinghai–Tibet Plateau discontinuous points

A nowcasting model for the prediction of typhoon tracks based on a long short term memory neural network

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Acta Oceanologica Sinica 2018年第5期37卷 8-12页

作者： GAO Song ZHAO peng PAN Bin LI Yaru ZHOU Min XU jiangling ZHONG Shan SHI Zhenwei North China Sea Marine Forecasting Center of State Oceanic Administration State Oceanic Administration Qingdao 266061 China Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation Qingdao 266061 China Image Processing Center School of Astronautics Beihang University Beijing 100191 China

It is of vital importance to reduce injuries and economic losses by accurate forecasts of typhoon tracks. A huge amount of typhoon observations have been accumulated by the meteorological department, however, they are yet to be adequately utilized. It is an effective method to employ machine learning to perform forecasts. A long short term memory（LSTM） neural network is trained based on the typhoon observations during 1949–2011 in China＇s Mainland, combined with big data and data mining technologies, and a forecast model based on machine learning for the prediction of typhoon tracks is developed. The results show that the employed algorithm produces desirable 6–24 h nowcasting of typhoon tracks with an improved precision.

关键词： typhoon tracks machine learning LSTM big data

Generating Giant Membrane Vesicles from Live Cells with Preserved Cellular Properties

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Research 2019年第1期2019卷 859-867页

作者： Qiaoling Liu Cheng Bi jiangling Li Xuejiao Liu Ruizi peng Cheng Jin Yang Sun Yifan Lyu Hui Liu Huijing Wang Can Luo Weihong Tan Molecular Science and Biomedicine Laboratory(MBL) State Key Laboratory of Chemo/Bio-Sensing and ChemometricsCollege of BiologyCollege of Chemistry and Chemical EngineeringAptamer Engineering Center of Hunan ProvinceHunan UniversityChangshaChina Institute of Molecular Medicine(IMM) Renji HospitalShanghai Jiao Tong University School of Medicine and School of Chemistry and Chemical EngineeringShanghai Jiao Tong UniversityShanghaiChina Departments of Chemistry Physiology and Functional GenomicsMolecular Genetics and Microbiology and Pathology and Laboratory MedicineUF Health Cancer CenterCenter for Research at the Bio/Nano InterfaceUniversity of FloridaGainesvilleFLUSA

Biomimetic giant membrane vesicles,with size and lipid compositions comparable to cells,have been recognized as an attractive experimental alternative to living *** to the similarity of their membrane structure to that of body cells,cell-derived giant plasma membrane vesicles have been used as a membrane model for studying lipid/protein behavior of plasma ***,further application of biomimetic giant membrane vesicles has been hampered by the side-efects of chemical vesiculants and the utilization of osmotic *** herein develop a facile strategy to derive giant membrane vesicles(GMVs)from mammalian cells in biofriendly medium with high *** GMVs preserve membrane properties and adaptability for surface modifcation and encapsulation of exogenous molecules,which would facilitate their potential biological ***,by loading GMVs with therapeutic drugs,GMVs could be employed for drug transport to tumor cells,which represents another step forward in the biomedical application of giant membrane *** study highlights biocompatible GMVs with biomimicking membrane surface properties and adaptability as an ideal platform for drug delivery strategies with potential clinical applications.

关键词： attractive similarity preserve

DeepCBA:A deep learning framework for gene expression prediction in maize based on DNA sequences and chromatin interactions

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Plant Communications 2024年第9期5卷 38-53页

作者： Zhenye Wang Yong peng Jie Li Jiying Li Hao Yuan Shangpo Yang Xinru Ding Ao Xie jiangling Zhang Shouzhe Wang Keqin Li Jiaqi Shi Guangjie Xing Weihan Shi Jianbing Yan Jianxiao Liu National Key Laboratory of Crop Genetic Improvement Huazhong Agricultural UniversityWuhan 430070China Hubei Key Laboratory of Agricultural Bioinformatics Huazhong Agricultural UniversityWuhan 430070China College of Informatics Huazhong Agricultural UniversityWuhan 430070China Hubei Hongshan Laboratory Wuhan 430070China Microsoft Corporation RedmondWA 98052USA WIMI Biotechnology Co. Ltd.Changzhou 213000China

Chromatin interactions create spatial proximity between distal regulatory elements and target genes in the genome,which has an important impact on gene expression,transcriptional regulation,and phenotypic *** date,several methods have been developed for predicting gene ***,existing methods do not take into consideration the effect of chromatin interactions on target gene expression,thus potentially reducing the accuracy of gene expression prediction and mining of important regulatory *** this study,we developed a highly accurate deep learning-based gene expression prediction model(DeepCBA)based on maize chromatin interaction *** with existing models,DeepCBA exhibits higher accuracy in expression classification and expression value *** average Pearson correlation coefficients(PCCs)for predicting gene expression using gene promoter proximal interactions,proximaldistal interactions,and both proximal and distal interactions were 0.818,0.625,and 0.929,respectively,representing an increase of 0.357,0.16,and 0.469 over the PCCs obtained with traditional methods that use only gene proximal *** important motifs were identified through DeepCBA;they were enriched in open chromatin regions and expression quantitative trait loci and showed clear tissue ***,experimental results for the maize flowering-related gene ZmRap2.7 and the tillering-related gene ZmTb1 demonstrated the feasibility of DeepCBA for exploration of regulatory elements that affect gene ***,promoter editing and verification of two reported genes(ZmCLE7 and ZmVTE4)demonstrated the utility of DeepCBA for the precise design of gene expression and even for future intelligent *** is available at http://***/or http://124.***.197.196/.

关键词： maize gene expression prediction chromatin interactions deep learning promoter editing regulatory elements and motifs

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基于磁盘阵列的多队列实时I/O调度算法

华中理工大学学报 1999年第4期27卷 1-2页

作者：程鹏张江陵冯丹华中理工大学计算机科学与技术学院

研究磁盘阵列的Ｉ／Ｏ调度问题．给出了建立在实时操作系统上的系统调度模型；在分析磁盘的Ｉ／Ｏ调度算法的基础上，提出一种适合磁盘阵列的多队列实时调度算法．该算法为每个磁盘指定了一个请求队列，并根据请求之间的依赖关系确定可... 详细信息

研究磁盘阵列的Ｉ／Ｏ调度问题．给出了建立在实时操作系统上的系统调度模型；在分析磁盘的Ｉ／Ｏ调度算法的基础上，提出一种适合磁盘阵列的多队列实时调度算法．该算法为每个磁盘指定了一个请求队列，并根据请求之间的依赖关系确定可并行执行的任务组．测试结果证明。

关键词：磁盘阵列系统实时操作系统 I/O调度

Temperature-sensitive poly（phenyleneethynylene） nanomedicines for intracellular tracking via fluorescence resonance energy transfer

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Temperature-sensitive poly（phenyleneethynylene） nanomedici...