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Asymmetric expression of CA2 and CA13 linked to calcification in the bilateral mandibular condyles cause crossed beaks in chickens

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Journal of Integrative Agriculture 2024年第7期23卷 2379-2390页

作者： Lei Shi Yanyan Sun Yunlei Li Hao Bai Jingwei Yuan Hui Ma Yuanmei Wang Panlin Wang Aixin Ni Linlin Jiang Pingzhuang Ge Shixiong Bian Yunhe Zong Jinmeng Zhao Adamu MIsa Hailai HTesfay Jilan Chen State Key Laboratory of Animal Biotech Breeding/Key Laboratory of Animal(Poultry)Genetics Breeding and Reproduction of Ministry of Agriculture and Rural Affairs/Institute of Animal Sciences Chinese Academy of Agricultural SciencesBeijing 100193China College of Animal Science and Technology Hebei Agricultural UniversityBaoding 071001China Joint International Research Laboratory of Agriculture and Agri-Product Safety Ministry of Education/Institutes of Agricultural Science and Technology DevelopmentYangzhou UniversityYangzhou 225009China

Crossed beak is a complex mode of inheritance with prevalence ranging from 0.2 to 7.4% in at least 12 chicken strains *** reveal the intrinsic factors causing crossed beaks,genes expression patterns in bilateral mandibular condyle between affected and normal birds were characterized by RNA sequencing analysis in the present *** beak was induced by short length of unilateral mandibular ramus,and a total of 110differentially expressed genes were up-or down-regulated in the affected(short)mandibular condyle side as compared to the normal *** anhydrase 2(CA2)and Carbonic anhydrase 13(CA13)were enriched in the carbonate dehydratase activity,and high-expressed in mandibular condyle and osteoblasts(P<0.05).However,both were low-expressed in short mandibular condyle side of affected birds(P<0.05).The carbonate dehydratase inhibitor experiments confirmed that there is positive association between the calcification and carbonic anhydrase *** analysis with cetylpyridinium chloride showed a decrease in calcification when the cells were transfected with an anti-CA13 *** research suggested that CA2 and CA13 are down-calcified in shortside mandibular condyle,and caused mandibular ramus to grow ***2 and CA13 have the critical role in crossed beaks by regulating calcification of mandibular condyle.

关键词： chicken crossed beak carbonic anhydrase calcification CA2 CA13

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Development of an automated photolysis rates prediction system based on machine learning

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Journal of Environmental sciences 2025年第5期151卷 211-224页

作者： Weijun Pan Sunling Gong Huabing Ke Xin Li Duohong Chen Cheng Huang Danlin Song State Key Laboratory of Severe Weather&Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological SciencesBeijing 100081China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China State Environmental Key Laboratory of Reginal Air Quality Monitoring Guangdong Ecological Environmental Monitoring CenterGuangzhou 510308China State Environmental Protection Key Laboratory of Formation and Prevention of the Urban Air Complex Shanghai Academy of Environmental SciencesShanghai 200233China Chengdu Academy of Environmental Sciences Chengdu 610072China National Observation and Research Station of Coastal Ecological Environments in Macao Macao Environmental Research InstituteMacao University of Science and TechnologyMacao 999078China

Based on observed meteorological elements,photolysis rates(J-values)and pollutant concentrations,an automated J-values predicting system by machine learning(J-ML)has been developed to reproduce and predict the J-values of O^(1)D,NO_(2),HONO,H_(2)O_(2),HCHO,and NO_(3),which are the crucial values for the prediction of the atmospheric oxidation capacity(AOC)and secondary pollutant concentrations such as ozone(O_(3)),secondary organic aerosols(SOA).The J-ML can self-select the optimal“Model+Hyperparameters”without human *** evaluated results showed that the J-ML had a good performance to reproduce the J-values wheremost of the correlation(R)coefficients exceed 0.93 and the accuracy(P)values are in the range of 0.68-0.83,comparing with the J-values from observations and from the tropospheric ultraviolet and visible(TUV)radiation model in beijing,Chengdu,Guangzhou and Shanghai,*** hourly prediction was also well performed with R from 0.78 to 0.81 for next 3-days and from 0.69 to 0.71 for next 7-days,*** with O_(3)concentrations by using J-values from the TUV model,an emission-driven observation-based model(e-OBM)by using the J-values from the J-ML showed a 4%-12%increase in R and 4%-30%decrease in ME,indicating that the J-ML could be used as an excellent supplement to traditional numerical *** feature importance analysis concluded that the key influential parameter was the surface solar downwards radiation for all J-values,and the other dominant factors for all J-values were 2-m mean temperature,O_(3),total cloud cover,boundary layer height,relative humidity and surface pressure.

关键词： J-values Automated prediction system Machine learning Short-term prediction O_(3)simulated improvement

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Exploring the impact of anti-shadowing effect on unintegrated gluon distributions in the MD-BFKL equation

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Chinese Physics C 2024年第9期48卷 126-132页

作者： Xiaopeng Wang Yanbing Cai Xurong Chen Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China School of Nuclear Science and Technology Lanzhou UniversityLanzhou 730000China School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China Guizhou Key Laboratory in Physics and Related Areas Guizhou University of Finance and EconomicsGuiyang 550025China Southern Center for Nuclear-Science Theory(SCNT) Institute of Modern PhysicsChinese Academy of SciencesHuizhou 516000China

This paper presents a comprehensive analysis of the MD-BFKL equation,considering both shadowing and anti-shadowing effects in gluon recombination *** deriving analytical expressions for unintegrated gluon distributions through the solution of the MD-BFKL equation,with and without the incorporation of the antishadowing effect,we offer new insights into the influence of these effects on the behavior of unintegrated gluon *** results,when compared to those from the CT18NLO gluon distribution function,demonstrate that the anti-shadowing effect has a notably stronger impact on the characteristics of unintegrated gluon distributions,particularly in regions of high rapidity and *** work significantly contributes to the understanding of gluon recombination mechanisms and their implications in high energy physics.

关键词： MD-BFKL equation analytic solution anti-shadowing effect

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Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations

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Journal of Oceanology and Limnology 2024年第2期42卷 377-389页

作者： Jifeng QI Guimin SUN Bowen XIE Delei LI Baoshu YIN CAS Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China School of Mathematics and Physics Qingdao University of Science and TechnologyQingdao 266061China CAS Engineering Laboratory for Marine Ranching Institute of OceanologyChinese Academy of SciencesQingdao 266071China

Accurately estimating the ocean subsurface salinity structure(OSSS)is crucial for understanding ocean dynamics and predicting climate *** present a convolutional neural network(CNN)model to estimate the OSSS in the Indian Ocean using satellite data and Argo *** evaluated the performance of the CNN model in terms of its vertical and spatial distribution,as well as seasonal variation of OSSS *** demonstrate that the CNN model accurately estimates the most significant salinity features in the Indian Ocean using sea surface data with no significant differences from Argo-derived ***,the estimation accuracy of the CNN model varies with depth,with the most challenging depth being approximately 70 m,corresponding to the halocline *** of the CNN model’s accuracy in estimating OSSS in the Indian Ocean are also conducted by comparing Argo observations and CNN model estimations along two selected sections and four selected *** results show that the CNN model effectively captures the seasonal variability of salinity,demonstrating its high performance in salinity estimation using sea surface *** analysis reveals that sea surface salinity has the strongest correlation with OSSS in shallow layers,while sea surface height anomaly plays a more significant role in deeper *** preliminary results provide valuable insights into the feasibility of estimating OSSS using satellite observations and have implications for studying upper ocean dynamics using machine learning techniques.

关键词： machine learning convolutional neural network(CNN) ocean subsurface salinity structure(OSSS) Indian Ocean satellite observations

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An Improved DBO Algorithm Applying for Numerical Modelling Under the Asymmetric Wave Equations 13th

An Improved DBO Algorithm Applying for Numerical Modelling U...

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13th International Field Exploration and Development Conference, IFEDC 2023

作者： Wei, Xu-Ruo Bai, Wen-Lei Feng, Hai-Xin Li, You-Ming Wang, Zhi-Yang College of Information Science and Technology Beijing University of Chemical Technology Beijing China Key Laboratory of Petroleum Resources Research Institute of Geology and Geophysics Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Third Research Institute of China Electronics Technology Group Corporation Beijing China

ISBN: (纸本)9789819704828

The asymmetric wave equation encompasses the influence of the actual fine structure inside the medium on the wave field, which can better represent the complex seismic wavefield excited by the complex source and reflect the scale effects of the seismic wave response under equal computational power. However, when the finite-difference (FD) operator is applied to implement the numerical modelling using the asymmetric wave equation, numerical dispersion appears due to the use of difference operator to approximate the differential operator, which has a negative impact on the analysis of seismic wave fields. For the purpose of improving the accuracy and efficiency of numerical modelling of the asymmetric wave equation, this study proposes an improved Dung Beetle Optimization (IDBO) algorithm and an IDBO algorithm-based finite-difference (IDBO-FD) scheme. The IDBO algorithm, which initializes the population using an enhanced Tent map and the Opposition-Based Learning strategy, increases the population’s variety. To achieve a good balance between global exploration and local exploitation, a nonlinear function is used to adaptively alter the population allocation ratio. Additionally, the ball-rolling dung beetle position update approach is enhanced by combining adaptive weights and the Levy fight strategy to prevent falling into local extremes. Numerical dispersion analysis and numerical modelling results indicate that the IDBO-FD scheme can successfully find the optimal FD operators and effectively suppress the numerical dispersion. This is of great significance for extracting wave field perturbations caused by complex microstructures in the medium and analyzing the impact of the microstructural properties of the medium on seismic wave propagation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Numerical models

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Aptamers targeting SARS-CoV-2 nucleocapsid protein exhibit potential ant1ip1 an-coronavirus activity

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Signal Transduction and Targeted Therapy 2024年第3期9卷 1186-1198页

作者： Minghui Yang Chunhui Li Guoguo Ye Chenguang Shen Huiping Shi Liping Zhong Yuxin Tian Mengyuan Zhao Pengfei Wu Abid Hussain Tian Zhang Haiyin Yang Jun Yang Yuhua Weng Xinyue Liu Zhimin Wang Lu Gan Qianyu Zhang Yingxia Liu Ge Yang Yuanyu Huang Yongxiang Zhao School of Life Science Advanced Research Institute of Multidisciplinary ScienceKey Laboratory of Molecular Medicine and BiotherapyBeijing Institute of TechnologyBeijing 100081China National Clinical Research Center for infectious disease Shenzhen Third People’s HospitalSecond Hospital Affiliated to Southern University of Science and TechnologyShenzhen 518112China Guangdong Provincial Key Laboratory of Tropical Disease Research School of Public HealthSouthern Medical UniversityGuangzhou 510515China State Key Laboratory of Targeting Oncology National Center for International Research of Biotargeting TheranosticsGuangxi Key Laboratory of Biotargeting TheranosticsCollaborative Innovation Center for Targeting Tumor Diagnosis and TherapyGuangxi Medical UniversityNanning 530021China CAMS Key Laboratory of Antiviral Drug Research Beijing Key Laboratory of Antimicrobial AgentsInstitute of Medicinal BiotechnologyChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China

Emerging and recurrent infectious diseases caused by human coronaviruses(HCoVs)continue to pose a significant threat to global public health *** light of this ongoing threat,the development of a broad-spectrum drug to combat HCoVs is an urgently ***,we report a series of anti-pan-coronavirus ssDNA aptamers screened using Systematic Evolution of Ligands by Exponential Enrichment(SELEX).These aptamers have nanomolar affinity with the nucleocapsid protein(NP)of Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and also show excellent binding efficiency to the N proteins of both SARS,MERS,HCoV-OC43 and-NL63 with affinity KD values of 1.31 to 135.36 *** aptamer-based therapeutics exhibited potent antiviral activity against both the authentic SARS-CoV-2 prototype strain and the Omicron variant(BA.5)with EC50 values at 2.00 nM and 41.08 nM,*** protein docking analysis also evidenced that these aptamers exhibit strong affinities for N proteins of pan-coronavirus and other HCoVs(−229E and-HKU1).In conclusion,we have identified six aptamers with a high pan-coronavirus antiviral activity,which could potentially serve as an effective strategy for preventing infections by unknown coronaviruses and addressing the ongoing global health threat.

关键词： acute threat conclusion

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Engineering oxygen vacancies and localized amorphous regions in CuO-ZnO separately boost catalytic reactivity and selectivity

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Nano Research 2023年第2期16卷 2126-2132页

作者： Yongjun Ji Xiaoli Chen Shaomian Liu Liwen Xing Xingyu Jiang Bin Zhang Huifang Li Wenxing Chen Ziyi Zhong Ligen Wang Guangwen Xu Fabing Su School of Light Industry Beijing Technology and Business UniversityBeijing 100048China Institute of Process Engineering Chinese Academy of SciencesBeijing 100190China College of Chemistry and Materials Engineering Beijing Technology and Business UniversityBeijing 100048China Institute of Industrial Chemistry and Energy Technology Shenyang University of Chemical TechnologyShenyang 110142China Analytical and Testing Center Chongqing UniversityChongqing 401331China Energy&Catalysis Center School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Department of Chemical Engineering Guangdong Technion-Israel Institute of Technology(GTIIT)Shantou 515063China Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion(MATEC) GTIITGuangdong 515063China Gripm Advanced Materials Co. Ltd.Beijing 101407China

Generating different types of defects in heterogeneous catalysts for synergetic promotion of the reactivity and selectivity in catalytic reactions is highly challenging due to the lack of effective theoretical ***,we demonstrate a facile strategy to introduce two types of defects into the CuO-ZnO model catalyst,namely oxygen vacancies(OVs)induced by H2 partial reduction and localized amorphous regions(LARs)generated via the ball milling *** industrially important Rochow–Müller reaction as a representative,we found OVs predominantly improved the target product selectivity of dimethyldichlorosilane,while LARs significantly increased the conversion of reactant *** CuO-ZnO catalyst with optimized OVs and LARs contents achieved the best catalytic *** calculation further revealed that LARs promote the generation of the Cu3Si active phase,and OVs impact the electronic structure of the Cu3Si active *** work provides a new understanding of the roles of different catalyst defects and a feasible way of engineering the catalyst structure for better catalytic performances.

关键词： oxygen vacancy localized amorphous region CuO-ZnO catalyst reactivity selectivity

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Spatiotemporally controlled emergence of nanoparticle microvortices under electric field

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Aggregate 2024年第2期5卷 290-300页

作者： Qi Pan Xijian Lin Shiyuan Wei Jinghong Su Hansen Zhao Xiaojie Duan Guoqing Hu Yan He Department of Chemistry Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology(Ministry of Education)Tsinghua UniversityBeijingChina Department of Biomedical Engineering College of Future TechnologyPeking UniversityBeijingChina Academy for Advanced Interdisciplinary Studies Peking UniversityBeijingChina The State Key Laboratory of Nonlinear Mechanics Institute of MechanicsChinese Academy of SciencesBeijingChina School of Engineering Science University of Chinese Academy of SciencesBeijingChina Department of Engineering Mechanics State Key Laboratory of Fluid Power and Mechatronic SystemsZhejiang UniversityHangzhouChina

Controlled assembly of nanoparticles(NPs)has garnered much interest over the past two *** established techniques,new methods utilizing local short-range or large-scale long-range interactions remain to be explored to achieve diverse micro-and nanoscale ***,we report the controlled emergence of vortex-pair arrays within monodispersed gold nanorods by applying a direct current electric field across a pair of sawtooth *** employing in situ darkfield microscopy and particle collective analysis,we elucidate the mechanism behind the formation and stabilization of the NP vortices,attributing it to the combined effects of the electrode shape,high NP density,and high solution *** further explore the controllability of the vortex-pair arrays and obtain multiple complex vortice *** findings will facilitate the investigation of efficient and controlled dynamic assembly of NPs under external fields and help manufacture next-generation optoelectronic functional materials.

关键词： dynamic assembly electric field gold nanoparticles sawtooth electrodes vortex

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Effect of titin phosphorylation on degradation of titin from skeletal muscles

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Food science and Human Wellness 2023年第4期12卷 1184-1191页

作者： Ying Wang Xin Li Dequan Zhang Zheng Li Baocai Xu Jie Zhu Key Laboratory of Agro-Products Processing Ministry of Agriculture and Rural AffairsInstitute of Food Science and TechnologyChinese Academy of Agricultural SciencesBeijing 100193China School of Food Science and Engineering Key Laboratory for Agricultural Products Processing of Anhui ProvinceHefei University of TechnologyHefei 230000China Laboratory of Biomechanics and Engineering Institute of Biophysics and College of ScienceNorthwest A&F UniversityYangling 712100China

The degradation of titin could make the myofibrillar fragmentation to improve meat tenderization during *** study aimed to investigate effect of phosphorylation on titin *** kinase A(PKA)and alkaline phosphatase(AP)were added to crude titin extracted from ovine longissimus lumborum(LL)***/dephosphorylated titin were incubated withμ-calpain at 4℃ for 2 *** showed titin in AP group started degradation earlier than that in PKA and control *** were 20,16 and 12 phosphorylated sites identified by iTRAQ in the PKA,control and AP group,respectively.3D structure of dephosphorylated titin fragment was simulated and its molecular dynamics trajectory analysis was performed using Discovery *** dihedral angle in AP group was less and the dephosphorylated fragment had a higher kinetic energy and total *** suggested that changes caused by AP treatment might make titin unstable,which easily degraded byμ-calpain.

关键词： Meat Titin Degradation Phosphorylation Alkaline phosphatase

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Pronounced advance on typhoon track forecast with global convection-permitting model

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science Bulletin 2025年第9期70卷 1424-1428页

作者： Gu, Jun Zhao, Chun Li, Gudongze Feng, Jiawang Xu, Mingyue Du, Qiuyan Xia, Zihan Li, Yubin Chen, Guanghua Hao, Xiaoyu Chen, Junshi An, Hong Deep Space Exploration Laboratory/School of Earth and Space Sciences/CMA-USTC Laboratory of Fengyun Remote Sensing/State Key Laboratory of Fire Science/Institute of Advanced Interdisciplinary Research on High-Performance Computing Systems and Software University of Science and Technology of China Hefei230026 China Laoshan Laboratory Qingdao266237 China CAS Center for Excellence in Comparative Planetology University of Science and Technology of China Hefei230026 China School of Atmospheric Physics Nanjing University of Information Science and Technology Nanjing210044 China Key Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China

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