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Plant genomic resources at National genomics Data center:assisting in data-driven breeding applications

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aBIOTECH 2024年第1期5卷 94-106页

作者： Dongmei Tian Tianyi Xu Hailong Kang Hong Luo Yanqing Wang Meili Chen Rujiao Li Lina Ma Zhonghuang Wang Lili Hao Bixia Tang Dong Zou Jingfa Xiao Wenming Zhao Yiming Bao Zhang Zhang Shuhui Song National genomics Data center Beijing Institute of GenomicsChinese Academy of Sciences&China National Center for BioinformationBeijing 100101China CAS Key Laboratory of Genome Sciences and Information Beijing Institute of GenomicsChinese Academy of Sciences&China National Center for BioinformationBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Genomic data serve as an invaluable resource for unraveling the intricacies of the higher plant systems,including the constituent elements within and among species.Through various efforts in genomic data archiving,integrative analysis and value-added curation,the National genomics Data center(NGDC),which is a part of the China National center for Bioinformation(CNCB),has successfully established and currently maintains a vast amount of database resources.This dedicated initiative of the NGDC facilitates a data-rich ecosystem that greatly strengthens and supports genomic research efforts.Here,we present a comprehensive overview of central repositories dedicated to archiving,presenting,and sharing plant omics data,introduce knowledgebases focused on variants or gene-based functional insights,highlight species-specific multiple omics database resources,and briefly review the online application tools.We intend that this review can be used as a guide map for plant researchers wishing to select effective data resources from the NGDC for their specific areas of study.

关键词： Plant-omics data Data repositories Data integration Knowledgebase Plant genomics

Opto-fluidically multiplexed assembly and micro-robotics

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Light(Science & Applications) 2024年第3期13卷 544-554页

作者： Elena Erben Weida Liao Antonio Minopoli Nicola Maghelli Eric Lauga Moritz Kreysing Max Planck Institute of Molecular Cell biology and Genetics Dresden 01307Germany center for systems biology Dresden 01307Germany Institute of Biological and Chemical systems–Biological Information Processing.Karlsruhe Institute of Technology(KIT) Eggenstein-Leopoldshafen 76344Germany Department of Applied Mathematics and Theoretical Physics University of CambridgeCambridge CB30WAUK

Techniques for high-definition micromanipulations,such as optical tweezers,hold substantial interest across a wide range of disciplines.However,their applicability remains constrained by material properties and laser exposure.And while microfluidic manipulations have been suggested as an alternative,their inherent capabilities are limited and further hindered by practical challenges of implementation and control.Here we show that the iterative application of laser-induced,localized flow fields can be used for the relative positioning of multiple micro-particles,irrespectively of their material properties.Compared to the standing theoretical proposal,our method keeps particles mobile,and we show that their precision manipulation is non-linearly accelerated via the multiplexing of temperature stimuli below the heat diffusion limit.The resulting flow fields are topologically rich and mathematically predictable.They represent unprecedented microfluidic control capabilities that are illustrated by the actuation of humanoid micro-robots with up to 30 degrees of freedom,whose motions are sufficiently well-defined to reliably communicate personal characteristics such as gender,happiness and nervousness.Our results constitute high-definition micro-fluidic manipulations with transformative potential for assembly,micro-manufacturing,the life sciences,robotics and optohydraulically actuated micro-factories.

关键词： manipulation fluid assembly

Insufficient TRPM5 Mediates Lipotoxicity-induced Pancreaticβ-cell Dysfunction

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Current Medical Science 2024年第2期44卷 346-354页

作者： Kai-yuan WANG Shi-mei WU Zheng-jian YAO Yun-xia ZHU Xiao HAN Key Laboratory of Human Functional genomics of Jiangsu Province Department of Biochemistry and Molecular BiologyNanjing Medical UniversityNanjing 211166China

Objective:While the reduction of transient receptor potential channel subfamily M member 5(TRPM5)has been reported in islet cells from type 2 diabetic(T2D)mouse models,its role in lipotoxicity-induced pancreaticβ-cell dysfunction remains unclear.This study aims to study its role.Methods:Pancreas slices were prepared from mice subjected to a high-fat-diet(HFD)at different time points,and TRPM5 expression in the pancreaticβcells was examined using immunofluorescence staining.Glucose-stimulated insulin secretion(GSIS)defects caused by lipotoxicity were mimicked by saturated fatty acid palmitate(Palm).Primary mouse islets and mouse insulinoma MIN6 cells were treated with Palm,and the TRPM5 expression was detected using qRT-PCR and Western blotting.Palm-induced GSIS defects were measured following siRNA-based Trpm5 knockdown.The detrimental effects of Palm on primary mouse islets were also assessed after overexpressing Trpm5 via an adenovirus-derived Trpm5(Ad-Trpm5).Results:HFD feeding decreased the mRNA levels and protein expression of TRPM5 in mouse pancreatic islets.Palm reduced TRPM5 protein expression in a time-and dose-dependent manner in MIN6 cells.Palm also inhibited TRPM5 expression in primary mouse islets.Knockdown of Trpm5 inhibited insulin secretion upon high glucose stimulation but had little effect on insulin biosynthesis.Overexpression of Trpm5 reversed Palm-induced GSIS defects and the production of functional maturation molecules unique toβcells.Conclusion:Our findings suggest that lipotoxicity inhibits TRPM5 expression in pancreaticβcells both in vivo and in vitro and,in turn,drivesβ-cell dysfunction.

关键词： type 2 diabetes β-cell dysfunction lipotoxicity TRPM5

Characteristics of cell motility during cell collision

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Chinese Physics B 2024年第2期33卷 72-77页

作者：马一凯李娜陈唯 State Key Laboratory of Surface Physics and Department of Physics Fudan UniversityShanghai 200438China China National center for Bioinformation Beijing 100101China National genomics Data center Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China

Quantitative examination of cellular motion and intercellullar interactions possesses substantial relevance for both biology and medicine.However,the effects of intercellular interactions during cellular locomotion remain under-explored in experimental research.As such,this study seeks to bridge this research gap,adopting Dictyostelium discoideum(Dicty)cells as a paradigm to investigate variations in cellular motion during reciprocal collisions.We aim to attain a comprehensive understanding of how cell interactions influence cell motion.By observing and processing the motion trajectories of colliding cells under diverse chemical environments,we calculated the diffusion coefficient(D)and the persistence time(τ),using mean square displacement.Our analysis of the relationship dynamics between D andτprior to the collisions reveals intricate and non-monotonic alterations in cell movements during collisions.By quantitatively scrutinizing theτtrend,we were able to categorize the cellular responses to interactions under different conditions.Importantly,we ascertained that the effect of cell interactions during collisions in Dicty cells emulates a classical sigmoid function.This discovery suggests that cellular responses might comply with a pattern akin to the Weber–Fechner law.

关键词： cell migration random walk cell-cell interaction

Spatial search weighting information contained in cell velocity distribution

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Chinese Physics B 2024年第2期33卷 522-528页

Cell migration plays a significant role in physiological and pathological processes.Understanding the characteristics of cell movement is crucial for comprehending biological processes such as cell functionality,cell migration,and cell–cell interactions.One of the fundamental characteristics of cell movement is the specific distribution of cell speed,containing valuable information that still requires comprehensive understanding.This article investigates the distribution of mean velocities along cell trajectories,with a focus on optimizing the efficiency of cell food search in the context of the entire colony.We confirm that the specific velocity distribution in the experiments corresponds to an optimal search efficiency when spatial weighting is considered.The simulation results indicate that the distribution of average velocity does not align with the optimal search efficiency when employing average spatial weighting.However,when considering the distribution of central spatial weighting,the specific velocity distribution in the experiment is shown to correspond to the optimal search efficiency.Our simulations reveal that for any given distribution of average velocity,a specific central spatial weighting can be identified among the possible central spatial weighting that aligns with the optimal search strategy.Additionally,our work presents a method for determining the spatial weights embedded in the velocity distribution of cell movement.Our results have provided new avenues for further investigation of significant topics,such as relationship between cell behavior and environmental conditions throughout their evolutionary history,and how cells achieve collective cooperation through cell-cell communication.

关键词： cell migration foraging efficiency random walk spatial search weight

Insights on ZEB1-AS1: emerging role from cancer to neurodegeneration

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Neural Regeneration Research 2024年第6期19卷 1187-1188页

作者： Stephana Carelli Federica Rey Erika Maghraby Cristina Cereda Pediatric Research center “Romeo ed Enrica Invernizzi” Department of Biomedical and Clinical Sciences University of Milan 2. Center of Functional Genomics and Rare Diseases Department of Pediatrics Buzzi Children's Hospital Department of biology and Biotechnology “L.Spallanzani” University of Pavia

Implications for lncRNAs in the central nervous system: Transcriptional dysregulation is a key contributor to the pathogenesis of a wide range of diseases and long non-coding RNAs(lncRNAs) are highly expressed in the nervous system. Indeed, amongst the over 50,000 lncRNAs expressed in the human genome, more than 40% are specifically expressed in the brain where their roles in brain development, neuron functions, maintenance,

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Rational surface charge engineering of haloalkane dehalogenase for boosting the enzymatic performance in organic solvent solutions

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Chinese Journal of Chemical Engineering 2024年第1期65卷 276-285页

作者： Yin Wu Yan Sun Department of Biochemical Engineering School of Chemical Engineering and Technology and Key Laboratory of Systems Bioengineering and Frontiers Science Center for Synthetic Biology(Ministry of Education)Tianjin UniversityTianjin 300350China

Biocatalysis in organic solvents(OSs)has numerous important applications,but native enzymes in OSs often exhibit limited catalytic performance.Herein,we proposed a computation-aided surface charge engineering strategy to improve the catalytic performance of haloalkane dehalogenase DhaA in OSs based on the energetic analysis of substrate binding to the DhaA surface.Several variants with enhanced OS resistance were obtained by replacing negative charged residues on the surface with positive charged residue(Arg).Particularly,a four-substitution variant E16R/E93R/E121R/E257R exhibited the best catalytic performance(five-fold improvement in OS resistance and seven-fold half-life increase in 40%(vol)dimethylsulfoxide).As a result,the overall catalytic performance of the variant could be at least 26 times higher than the wild-type DhaA.Fluorescence spectroscopy and molecular dynamics simulation studies revealed that the residue substitution mainly enhanced OS resistance from four aspects:(a)improved the overall structural stability,(b)increased the hydrophobicity of the local microenvironment around the catalytic triad,(c)enriched the hydrophobic substrate around the enzyme molecule,and(d)lowered the contact frequency between OS molecules and the catalytic triad.Our findings validate that computationaided surface charge engineering is an effective and ingenious rational strategy for tailoring enzyme performance in OSs.

关键词： Surface charge engineering Organic solvent resistance Molecular dynamics simulation Haloalkane dehalogenase

Journal of Genetics and genomics in 2023:progresses and beyond

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Journal of Genetics and genomics 2024年第1期51卷 1-2页

作者： Xiu-Fen Song Xiaoxuan Guo Jing Zhao Yutian Zhang Yuan Qin Jianru Zuo Journal of Genetics and genomics Institute of Genetics and Developmental BiologyChinese Academy of Sciences&the Genetics Society of ChinaBeijing 100101China

Journal of Genetics and genomics(JGG),launched in 1974,celebrates its 50th birthday in 2023.With continuous support from our authors,reviewers,readers,and the editorial board,JGG has made remarkable progress in the past year by publishing 122 papers covering major disciplines in life sciences and medical genetics with exciting discoveries.It is worthwhile to note that we have recruited 66 young talents to join JGG as junior editors,resulting in significant improvement in manuscript evaluation and journal promotion.Here,we summarize major progresses reported in JGG in 2023 fromaneditorial view.

关键词： journal beyond promotion

Recent progress in MOFs-based nanozymes for biosensing

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Nano Research 2024年第1期17卷 39-64页

作者： Imamdin Chandio Yongjian Ai Lei Wu Qionglin Liang MOE Key Laboratory of Bioorganic Phosphorus Chemistry&Chemical biology Department of ChemistryLaboratory of Flexible Electronics TechnologyCenter for Synthetic and Systems BiologyTsinghua University-Peking University Joint Centre for Life SciencesTsinghua UniversityBeijing 100084China

Nanozymes are nanomaterials with enzyme-mimicking catalytic activity.Compared to natural enzymes,nanozymes show various properties such as easy to manufacture,stable,adjustable,and inexpensive.Nanozymes play key roles in biosensing,biocatalysis,and disease treatment.As an important kind of nanozymes,metal-organic framework(MOF)-based nanozymes are receiving a lot of attention due to their structural properties and composition.Rationally developing MOF with enzymes-like catalytic properties has opened new perspectives in biosensing.This review summarizes the up-to-date developments in synthesizing two-dimensional and three-dimensional MOF-based nanozymes and their applications in biosensing.Firstly,classification of nanozymes obtained by MOFs is categorized,and different properties of MOF-based nanozymes are described.Then,the distinctive applications of MOF-based nanozymes in identifying various analytes are thoroughly summarized.Finally,the recent challenges and progressive directions in this area are highlighted.

关键词： metal-organic frameworks nanozymes metal-organic framework (MOF)-based nanozymes biosensing analytes