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Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods

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Food Science and Human Wellness 2024年第1期13卷 166-172页

作者： Changge Guan Zhenglin Tan shucheng li Yi Wang Naoyuki Yamamoto Chong Zhang Songjun Wang Junjie Chen Xinhui Xing Key Laboratory for Industrial Biocatalysis Ministry of Education of ChinaDepartment of Chemical EngineeringTsinghua UniversityBeijing 100084China School of life Science and Technology Tokyo Institute of TechnologyYokohama 226-0026Japan Sensing System Research Center National Institute of Advanced Industrial Science and TechnologyTsukuba 305-8565Japan Center for Synthetic and Systems Biology Tsinghua UniversityBeijing 100084China Henan Giant Salamander Protection and Development Association Luoyang 471000China Intelligent Computing Research Center Harbin Institute of TechnologyShenzhen 518071China Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 518067China

Andrias davidianus(Chinese giant salamander,CGS)is the largest and oldest extant amphibian species in the world and is a source of prospective functional food in ***,the progress of functional peptides mining was slow due to lack of reference genome and protein sequence *** this study,we illustrated full-length transcriptome sequencing to interpret the proteome of CGS meat and obtain 10703 coding DNA *** functional annotation and amino acid composition analysis,we have discovered various genes related to signal transduction,and 16 genes related to *** have also found vast variety of functional peptides through protein coding sequence(CDS)analysis by comparing the data obtained with the functional peptide ***-Pro-Ile predicted by the CDS analysis was released from the CGS meat through enzymatic hydrolysis,suggesting that our approach is *** study suggested that transcriptomic analysis can be used as a reference to guide polypeptide mining in CGS meat,thereby providing a powerful mining strategy for the bioresources with unknown genomic and proteomic sequences.

关键词： Chinese giant salamander Transcriptomic analysis Bioactive components Functional peptides mining

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Screening of Chinese giant salamander meat hydrolysates with DPP-IV inhibitory activity and systematic elucidation of their hypoglycemic functions in mouse model

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Food Science and Human Wellness 2024年

作者： shucheng li Changge Guan Yi Wang Haihong Chen Wei li Songjun Wang Chong Zhang Xin-Hui Xing Key Laboratory for Industrial Biocatalysis Ministry of Education of China Department of Chemical Engineering Tsinghua University School of life Science and Technology Tokyo Institute of Technology Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Henan Giant Salamander Protection and Development Association Center for Synthetic and Systems Biology Tsinghua University Institute of Biomedical Health Technology and Engineering Shenzhen Bay Laboratory

Type 2 diabetes (T2D) presents a significant health challenge， underscoring the need for functional foods and nutraceutical hypoglycemic bioactive peptides for its prevention. This study investigates the potential of proteolytic hydrolysate from artificially cultivated Chinese giant salamander (CGS) meat， a rich protein source， as a preventive strategy for T2D. We produced a CGS meat hydrolysate (CGSh) and demonstrated its ability to inhibit the T2D drug target DPP-IV through in vitro assays. We identified five peptides (WRPPDH， WAPPSKD， IPDSPF， IPEMIF， and VPIAVPT) with high DPP-IV inhibitory activity in CGSh， suggesting its potential antidiabetic effects. In vivo experiments showed that CGSh effectively reduced insulin resistance in mice induced with a high-fat diet， as evidenced by a slower increase in blood glucose levels and a decreased HOMA-IR index. 16S rRNA sequencing analysis revealed that CGSh improved gut microbial homeostasis， promoting beneficial microorganisms and reducing harmful bacteria. Metabolomic analyses identified an increase in valeric acid levels and highlighted nine potential biomarker metabolites. By inhibiting metabolic pathways such as AGE-RAGE， CGSh may also prevent diabetic complications and reduce inflammation. These findings suggest that CGSh has a promising hypoglycemic effect， making it a potential functional food ingredient for T2D prevention and treatment.

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基于RBF-PSO算法的潜艇尾部结构噪声优化

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噪声与振动控制 2024年第1期44卷 199-204页

作者：李舒成张冠军柯昱照武汉理工大学船海与能源动力工程学院武汉430063 武汉理工大学高性能船舶技术教育部重点实验室武汉430063

针对潜艇尾部结构噪声突出问题,选取潜艇尾部桨轴艇耦合模型为研究对象,以潜艇尾部质量为约束条件,以纵向、横向激励力下的水下潜艇尾部辐射声功率级为优化目标,设计以尾壳板厚度、T型材结构参数(面板宽、腹板高、面板厚度、腹板厚度)... 详细信息

针对潜艇尾部结构噪声突出问题,选取潜艇尾部桨轴艇耦合模型为研究对象,以潜艇尾部质量为约束条件,以纵向、横向激励力下的水下潜艇尾部辐射声功率级为优化目标,设计以尾壳板厚度、T型材结构参数(面板宽、腹板高、面板厚度、腹板厚度)为设计变量的均匀试验设计,采用径向基函数(Radia Basis Function,RBF)神经网络构建反映设计变量与优化目标之间映射关系的代理模型,使用粒子群算法(Particle Swarm Optimization,PSO)对潜艇尾部噪声进行多目标优化。研究表明:纵向激励下潜艇尾部水下辐射声功率合成级降低3.79 dB,横向激励下潜艇尾部水下辐射声功率合成级降低1.55 d B,潜艇尾部质量降低3.424 t。将RBF-PSO算法应用于潜艇尾部结构低频噪声优化问题效果较好,可以为潜艇的结构噪声优化提供指导。

关键词：声学 RBF神经网络粒子群算法潜艇尾部噪声优化

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茉莉酸甲酯对猕猴桃果实抗葡萄座腔菌过程中能量代谢和膜脂代谢的影响

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中国农业科学 2024年第7期57卷 1377-1393页

作者：肖刘华康乃慧李树成郑致远罗绕绕陈金印陈明向妙莲江西农业大学农学院/江西省果蔬采后处理关键技术与质量安全协同创新中心/江西省果蔬保鲜与无损检测重点实验室

【背景】由葡萄座腔菌(Botryosphaeria dothidea)引起的软腐病是猕猴桃果实贮藏期的重要病害，对猕猴桃产业造成了严重的经济损失。茉莉酸甲酯(MeJA)是一类广泛存在于植物体内的生物信号分子，前期研究发现MeJA能够有效诱导猕猴桃果实抵... 详细信息

【背景】由葡萄座腔菌(Botryosphaeria dothidea)引起的软腐病是猕猴桃果实贮藏期的重要病害，对猕猴桃产业造成了严重的经济损失。茉莉酸甲酯(MeJA)是一类广泛存在于植物体内的生物信号分子，前期研究发现MeJA能够有效诱导猕猴桃果实抵御***的侵染。【目的】分析MeJA对果实能量代谢和膜脂代谢的影响，深入解析MeJA介导的猕猴桃果实抗病机理。【方法】以‘红阳’猕猴桃(Actinidia chinensis ***)为试验材料，分3组进行试验：接种组(Inoculation)，果实不经过MeJA处理，但接种***;MeJA+接种组(MeJA+inoculation)，果实经过0.1 mmol·L-1MeJA熏蒸处理24 h并接种***；对照组(Control)，不作任何处理，即未经MeJA处理且不接种***。所有果实于培养箱((20±1)℃、相对湿度90%—95%)中贮藏8 d。利用2,7-二氯二氢荧光素乙酰乙酸(H2DCFDA)染色分析果实活性氧(ROS)积累情况，测定丙二醛(MDA)含量和相对电导率，分析磷脂酶D(PLD)、脂肪酶(LPS)、脂氧合酶(LOX)、琥珀酸脱氢酶(SDH)、苹果酸脱氢酶(MDH)、H+-ATP酶(H+-ATPase)、Ca2+-ATP酶(Ca2+-ATPase)和细胞色素C氧化酶(CCO)活性及其相应基因的表达，利用高效液相色谱仪(HPLC)检测三磷酸腺苷(ATP)、二磷酸腺苷(ADP)、单磷酸腺苷(AMP)、草酰乙酸和延胡索酸的含量，并对接种组和MeJA+接种组猕猴桃果实膜脂代谢和能量代谢指标进行相关性分析。【结果】与接种组相比，MeJA处理抑制了接种***果实中活性氧(ROS)的过量累积，减缓了膜脂过氧化程度，并有效降低了PLD、LPS和LOX活性及AcLOXs、AcPLD和AcLPS的表达，但提高了SDH、MDH、H+-ATPase、Ca2+-ATPase和CCO的活性及AcSDH、AcMDH、AcH+-ATPase、AcCa2+-ATPase和AcCCO转录水平，促进了ATP、ADP、草酰乙酸和延胡索酸的产生，延缓了果实能荷的下降，保障了果实抵御病原菌所需的能量。相关性分析表明，猕猴桃果实膜脂代谢与ROS的积累呈正相关，而与能荷呈负相关。【结论】MeJA诱导猕猴桃果实对***的抗性与其调控果实能量水平和减缓ROS参与的膜脂代谢进程有关。

关键词：茉莉酸甲酯猕猴桃果实葡萄座腔菌诱导抗性能量代谢膜脂代谢

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A virtual thermometer for ultrahigh-temperature-pressure experiments in a large-volume press

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Matter and Radiation at Extremes 2024年第4期9卷 98-110页

作者： Bingtao Feng Longjian Xie Xuyuan Hou shucheng liu Luyao Chen Xinyu Zhao Chenyi li Qiang Zhou Kuo Hu Zhaodong liu Bingbing liu State Key Laboratory of Superhard Materials Synergetic Extreme Condition User FacilityCollege of PhysicsJilin UniversityChangchun 130012China Department of Earth Sciences University College LondonLondon WC1E 6BSUnited Kingdom Earth and Planetary Laboratory Carnegie Institute for ScienceWashingtonDistrict of Columbia 20015USA College of Earth Sciences Jilin UniversityChangchun 130012China

Ultrahigh-temperature-pressure experiments are crucial for understanding the physical and chemical properties of *** recent development of boron-doped diamond(BDD)heaters has made such melting experiments possible in large-volume ***,estimates of temperatures above 2600 K and of the temperature distributions inside BDD heaters are not well constrained,owing to the lack of a suitable ***,we establish a three-dimensional finite element model as a virtual thermometer to estimate the temperature and temperature field above 2600 *** advantage of this virtual thermometer over those proposed in previous studies is that it considers both alternating and direct current heating modes,the actual sizes of cell assemblies after compression,the effects of the electrode,thermocouple and anvil,and the heat dissipation by the pressure-transmitting *** virtual thermometer reproduces the power-temperature relationships of ultrahigh-temperature-pressure experiments below 2600 K at press loads of 2.8-7.9 MN(~19 to 28 GPa)within experimental *** temperatures above 2600 K predicted by our virtual thermometer are within the uncertainty of those extrapolated from power-temperature relationships below 2600 ***,our model shows that the temperature distribution inside a BDD heater(19-26 K/mm along the radial direction andliable virtual thermometer for ultrahigh-temperature experiments using BDD heaters in Earth and material sciences.

关键词： virtual ultrahigh sizes

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Feasible and reliable quantification of mRNA in Arabidopsis thaliana using optical thin-film biosensor chips

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Journal of Genetics and Genomics 2010年第5期37卷 341-346页

作者： Sulan Bai Fan Wang Zhen Zhang shucheng li Jie Zhang Yaochuan Zhang College of life Sciences Capital Normal University Beijing 100048 China Beijing Vocational College of Agriculture Beijing 102442 China

mRNA quantification is very important in molecular biological researches. Traditional spectrophotometric method cannot distinguish DNA, rRNA and tRNA species from mRNA. Northern blot can be used for mRNA quantification but is known to be time consuming. To rapidly detect mRNA levels, we developed an optical thin-film biosensor chip based method, to quantify mRNA in samples. After total RNA was extracted, the mRNA with poly（A） tails was reverse transcribed with oligo（dT）20 primers and dNTPs mixed with digoxigenin（DIG）-11-dUTE The transcribed first strand cDNA was hybridized with oligo（dA）20 nucleotide probes spotted on optical thin-film biosensor chips. Excess first strand cDNA, single-strand RNA, and mis-matched DNA/DNA hybrids were removed by washing. The perfect-matched DNA/DNA hybrid was detected with anti-DIG-AP （alkaline phosphatase） conjugate and then incubated with NBT/BCIP substrate for color development. The range of the color is from purplish red to blue, according to the cDNA mass deposited on chip sur- face. Detection of mRNA levels from Arabidopsis samples proved that this method is feasible for mRNA quantification, and has great potential for application in mRNA quantification in various organisms.

关键词： mRNA quantification optical thin-film biosensor chip assay

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Synchronous nanoscale topographic and chemical mapping by differential-confocal controlled Raman microscopy

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Photonics Research 2020年第9期8卷 1441-1447页

作者： HAN CUI YUN WANG liRONG QIU shucheng li JONATHAN M.COOPER AND WEIQIAN ZHAO Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China Division of Biomedical Engineering James Watt School of EngineeringUniversity of GlasgowGlasgow G128LTUK

Confocal Raman microscopy is currently used for label-free optical sensing and imaging within the biological,engineering,and physical sciences as well as in ***,currently these methods have limitations,including their low spatial resolution and poor focus stability,that restrict the breadth of new *** paper now introduces differential-confocal controlled Raman microscopy as a technique that fuses differential confocal microscopy and Raman spectroscopy,enabling the point-to-point collection of three-dimensional nanoscale topographic information with the simultaneous reconstruction of corresponding chemical *** microscope collects the scattered Raman light together with the Rayleigh light,both as Rayleigh scattered and reflected light(these are normally filtered out in conventional confocal Raman systems).Inherent in the design of the instrument is a significant improvement in the axial focusing resolution of topographical features in the image(to^1 nm),which,when coupled with super-resolution image restoration,gives a lateral resolution of 220 *** using differential confocal imaging for controlling the Raman imaging,the system presents a significant enhancement of the focusing and measurement accuracy,precision,and stability(with an antidrift capability),mitigating against both thermal and vibrational *** also demonstrate an improved scan speed,arising as a consequence of the nonaxial scanning mode.

关键词： scattered chemical stability

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A new MaterialGo database and its comparison with other high-throughput electronic structure databases for their predicted energy band gaps

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Science China(Technological Sciences) 2019年第8期62卷 1423-1430页

作者： JIE JianShu WENG MouYi li ShunNing CHEN Dong li shucheng XIAO WeiJi ZHENG JiaXin PAN Feng Wang linWang School of Advanced Materials Peking University Shenzhen Graduate School Shenzhen 518055 China Materials Science Division Lawrence Berkeley National Laboratory Berkeley 94720 USA

Recently, many high-throughput calculation materials databases have been constructed and found wide applications. However, a database is only useful if its content is reliable and sufficiently accurate. It is thus of paramount importance to gauge the reliabilities and accuracies of these databases. Although many properties have been predicted accurately in these databases,electronic band gap is well known to be underestimated by traditional density functional theory(DFT) calculations under local density approximation(LDA), which becomes a challenging problem for materials database building. Here, we introduce MaterialGo(http://***/***), a new database calculating the band structures of crystals using both Perdew-Burke-Ernzerhof(PBE) exchange-correlation functional and Heyd-Scuseria-Ernzerhof(HSE) hybrid *** different PBE databases, it is found that their band gaps are consistent when no U parameter is used for transition metal d-state or heavy element f-state to correct their self-interaction error, but rather different when PBE+U are used, mostly because of the different values of U used in different database. HSE calculations under standard parameters will give larger band gaps that are closer to experiment. Based on the high-throughput HSE calculations over 10000 crystal structures, we might have a better understanding of the relationship between crystal structures and electronic structures, which will help us to further explore material genome science and engineering.

关键词： high-throughput hybrid functional calculation database

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A descriptor of “material genes”: Effective atomic size in structural unit of ionic crystals

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Science China(Technological Sciences) 2019年第5期62卷 849-855页

作者： CHEN Dong li ShunNing JIE JianShu li SiBai ZHENG ShiSheng WENG MouYi YU ChangCheng li shucheng CHEN DaJun PAN Feng School of Advanced Materials Shenzhen Graduate School Peking University

The atomic size of each element, described by the ionic radius, is one category of "material genes" and can facilitate our understanding of atomic arrangements in compounds. Most of the ionic radii currently used to measure the sizes of cations and anions in ionic crystals are derived from hard-sphere model based on the coordination numbers, or the soft-sphere model incorporating the effect of ionic polarization. Herein we take a first step towards a novel "effective atomic size"(EAS) model,which takes into consideration the impact of the types and number of neighboring atoms on the relationship between ionic radii and interatomic distances. Taking the binary compounds between Group IA/IIA and VIA/VIIA elements gathered from the latest databases as an example, we show that the proposed EAS model can yield excellent agreement between the predicted and the DFT-calculated interatomic distances, with deviation of less than 0.1 ?. A set of EAS radii for ionic crystals has been compiled and the role of coordination numbers, geometric symmetry and distortion of structural units has been examined. Thanks to its superior predictability, the EAS model can serve as a foundation to analyze the structure of newly-discovered compounds and to accelerate materials screening processes in the future works.

关键词： ionic radii interatomic distance effective atomic size coordination environment structural units

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云南南涧首次发现独立钴矿床

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矿产勘查 2024年第5期15卷 906-908页

作者：程迁群梁元钊刘明勇雷阳艾谢行朱振东李书程豆松郑晓军云南省有色地质局三一0队云南大理671000 云南省有色地质局云南昆明650051

钴(Co)是全球关键矿产,也是中国紧缺战略性矿产,随着新能源产业的快速发展,其重要性日益凸显,成为全球勘查开发和投资并购的热点。钴广泛应用于新能源汽车、军事、航空、化工和医疗等领域,目前最主要的用途是锂离子电池的正极材料和制... 详细信息

钴(Co)是全球关键矿产,也是中国紧缺战略性矿产,随着新能源产业的快速发展,其重要性日益凸显,成为全球勘查开发和投资并购的热点。钴广泛应用于新能源汽车、军事、航空、化工和医疗等领域,目前最主要的用途是锂离子电池的正极材料和制造航天发动机所需的高温合金。

关键词：投资并购新能源汽车新能源产业航天发动机锂离子电池勘查开发高温合金钴矿床

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