检索结果-南通市图书馆

Novel concept of nano-additive design:PTFE@silica Janus nanoparticles for water lubrication

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Friction 2024年第2期12卷 258-270页

作者： Yanfei LIU Hailing HE Meng YANG Ruize ZHANG Shengtao YU Tiantian YANG Wenzhong WANG Fuxin LIANG School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China Institute of Polymer Science&Engineering Department of Chemical EngineeringTsinghua UniversityBeijing 100084China MOE Key Laboratory of bioinformatics Center for Plant BiologySchool of Life SciencesTsinghua UniversityBeijing 100084China Tsinghua-Peking Center for Life Sciences Beijing 100084China College of Biological Sciences China Agricultural UniversityBeijing 100193China

Polytetrafluoroethylene(PTFE)has been widely used as a lubrication additive for reducing friction and wear;however,the hydrophobic nature of PTFE restricts its application in eco-friendly water-based lubrication *** this study,for the first time,we designed novel PTFE@silica Janus nanoparticles(JNs)to meet the requirement for additives in water-based lubricants,which have excellent dispersion stability in water attributed to the unique amphiphilic *** introducing the lubrication of the aqueous dispersion of the JNs with a concentration of 0.5 wt%,the coefficient of friction(COF)and wear volume were reduced by 63.8%and 94.2%,respectively,comparing to those with the lubrication of pure ***,the JNs suspension also exhibits better lubrication and wear-resistance performances comparing to commercial silica and PTFE *** excellent tribological behaviors of PTFE@silica JNs as nano-additives could be attributed to the synergetic effect of the two components,where the PTFE provided lubrication through the formed tribofilms on the friction pairs,and the rigid silica further enhanced the wear-resistance *** importantly,the unique structure of JNs makes it possible to use PTFE as an additive in water-lubrication *** study shed light on the design and application of novel JNs nanomaterials as additives to meet the requirements of future industrial applications.

关键词： Janus nanoparticles(JNs) polytetrafluoroethylene(PTFE) nano-additives friction lubrication

Stay in touch with the endoplasmic reticulum

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Life Sciences) 2024年第2期67卷 230-257页

作者： Sha Sun Gan Zhao Mingkang Jia Qing Jiang Shulin Li Haibin Wang Wenjing Li Yunyun Wang Xin Bian Yan G.Zhao Xun Huang Ge Yang Huaqing Cai Jose C.Pastor-Pareja Liang Ge Chuanmao Zhang Junjie Hu National Laboratory of Biomacromolecules Institute of BiophysicsUniversity of Chinese Academy of SciencesChinese Academy of SciencesBeijing 100101China The Ministry of Education Key Laboratory of Cell Proliferation and Differentiation College of Life SciencesPeking UniversityBeijing 100871China State Key Laboratory of Membrane biology Tsinghua-Peking Center for Life SciencesSchool of Life SciencesTsinghua UniversityBeijing 100084China Laboratory of computational biology&Machine Intelligence School of Artificial IntelligenceUniversity of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Medicinal Chemical biology College of Life SciencesNankai UniversityTianjin 300071China Brain Research Center Department of BiologySchool of Life SciencesSouthern University of Science and TechnologyShenzhen 518055China State Key Laboratory of Molecular Developmental biology Institute of Genetics and Developmental BiologyInnovation Academy for Seed DesignChinese Academy of SciencesBeijing 100101China Institute of Neurosciences Consejo Superior de Investigaciones Científicas-Universidad Miguel HernándezSan Juan de Alicante 03550Spain

The endoplasmic reticulum(ER),which is composed of a continuous network of tubules and sheets,forms the most widely distributed membrane system in eukaryotic *** a result,it engages a variety of organelles by establishing membrane contact sites(MCSs).These contacts regulate organelle positioning and remodeling,including fusion and fission,facilitate precise lipid exchange,and couple vital signaling ***,we systematically review recent advances and converging themes on ER-involved organellar *** molecular basis,cellular influence,and potential physiological functions for ER/nuclear envelope contacts with mitochondria,Golgi,endosomes,lysosomes,lipid droplets,autophagosomes,and plasma membrane are summarized.

关键词： endoplasmic reticulum nuclear envelope mitochondria Golgi apparatus endosome lysosome lipid droplets autophagosome plasma membrane membrane contact site

Pleistocene glaciation advances the cryptic speciation of Stellera chamaejasme *** a major biodiversity hotspot

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Plant biology 2024年第6期66卷 1192-1205页

作者： Santosh Kumar Rana Hum Kala Rana Jacob BLandis Tianhui Kuang Juntong Chen Hengchang Wang Tao Deng Charles C.Davis Hang Sun CAS Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201China Arkansas Biosciences Institute Arkansas State UniversityJonesboroArkansas 72401USA School of Integrative Plant Science Section of Plant Biology and the L.H.Bailey HortoriumCornell UniversityIthacaNew York 14853USA BTI computational biology Center Boyce Thompson InstituteIthacaNew York 14853USA CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture Chinese Academy of SciencesWuhan Botanical GardenWuhan 430074China Department of Organismic and Evolutionary biology HerbariaHarvard UniversityCambridgeMassachusetts 02138USA

The mountains of Southwest China comprise a significant large mountain range and biodiversity hotspot imperiled by global climate *** high species diversity in this mountain system has long been attributed to a complex set of factors,and recent large-scale macroevolutionary investigations have placed a broad timeline on plant diversification that stretches from 10 million years ago(Mya)to the *** our increasing understanding of the temporal mode of speciation,finer-scale populationlevel investigations are lacking to better refine these temporal trends and illuminate the abiotic and biotic influences of cryptic *** is largely due to the dearth of organismal sampling among closely related species and populations,spanning the incredible size and topological heterogeneity of this *** study dives into these evolutionary dynamics of speciation using genomic and ecomorphological data of Stellera chamaejasme *** identified four previously unrecognized cryptic species having indistinct morphological traits and large metapopulation of evolving lineages,suggesting a more recent diversification(~2.67-0.90 Mya),largely influenced by Pleistocene glaciation and biotic *** factors likely influenced allopatric speciation and advocated cyclical warming–cooling episodes along elevational gradients during the *** study refines the evolutionary timeline to be much younger than previously implicated and raises the concern that projected future warming may influence the alpine species diversity,necessitating increased conservation efforts.

关键词： cryptic speciation glacial-interglacial Hengduan Mountains north-south migration Stellera chamaejasme

United under stress:High-speed transport network emerging at bacterial living edge

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Fundamental Research 2024年第3期4卷 563-569页

作者： Xiaodong Wen Jingjing Feng Yuqian Sang Feng Ge Hugues Chaté Yan He Department of Chemistry Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical BiologyTshinghua UniversityBeijing 100084China Service de Physique de l'Etat Condensé CEACNRSUniversitéParis-SaclayCEA-SaclayGif-sur-Yvette 91191France Beijing computational Science Research Center Beijing 100094China

Individuals tend to move freely when there is enough room but would act collectively for their survival under external *** the case of living cells,for instance,when a drop of low-density flagellated bacterial solution is transferred onto the agar surface,the initially disordered movement of individual bacteria would be replaced with coordinated cell swarming after a lag phase of a few ***,we study how such cooperation is established while overcoming the disorder at the onset of the lag phase with single nanoparticle *** the spreading of the droplet,the bacteria in the solution cluster and align near the almost immobilized contact line confining the drop,forming a narrow ring of *** individual cells move in and out of the ring continuously,certain flow patterns emerge in the inter-bacterial *** reveal high-speed long-distance unidirectional flows with definite chirality along the outside of the ring,along the inside of the ring and across the *** speculate that these flows enable the fast and efficient transport,facilitating the communication and unification of the bacterial community.

关键词： Bacterial droplet Environmental stress Single particle tracking Biological edge Flow transport network

Dual-extraction modeling:A multi-modal deeplearning architecture for phenotypic prediction and functional gene mining of complex traits

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Plant Communications 2024年第9期5卷 54-71页

作者： Yanlin Ren Chenhua Wu He Zhou Xiaona Hu Zhenyan Miao State Key Laboratory for Crop Stress Resistance and High-Efficiency Production Center of BioinformaticsCollege of Life SciencesNorthwest A&F UniversityYanglingShaanxi 712100China College of Chemistry&Pharmacy Northwest A&F UniversityYanglingShaanxi 712100China Key Laboratory of biology and Genetics Improvement of Maize in Arid Area of Northwest Region Ministry of AgricultureNorthwest A&F UniversityYanglingShaanxi 712100China

Despite considerable advances in extracting crucial insights from bio-omics data to unravel the intricate mechanisms underlying complex traits,the absence of a universal multi-modal computational tool with robust interpretability for accurate phenotype prediction and identification of trait-associated genes remains a *** study introduces the dual-extraction modeling(DEM)approach,a multi-modal deep-learning architecture designed to extract representative features from heterogeneous omics datasets,enabling the prediction of complex trait *** comprehensive benchmarking experiments,we demonstrate the efficacy of DEM in classification and regression prediction of complex *** consistently exhibits superior accuracy,robustness,generalizability,and ***,we establish its effectiveness in predicting pleiotropic genes that influence both flowering time and rosette leaf number,underscoring its commendable *** addition,we have developed user-friendly software to facilitate seamless utilization of DEM’s *** summary,this study presents a state-of-the-art approach with the ability to effectively predict qualitative and quantitative traits and identify functional genes,confirming its potential as a valuable tool for exploring the genetic basis of complex traits.

关键词： deep learning complex traits multi-omics phenotypic prediction gene mining

Bagging with CTD–A Novel Signature for the Hierarchical Prediction of Secreted Protein Trafcking in Eukaryotes

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Genomics, Proteomics & bioinformatics 2013年第6期11卷 385-390页

作者： Geetha Govindan Achuthsankar S.Nair Department of computational biology and bioinformatics University of Kerala

Protein trafficking or protein sorting in eukaryotes is a complicated process and is carried out based on the information contaified in the protein. Many methods reported prediction of the subcellular location of proteins from sequence information. However, most of these prediction methods use a flat structure or parallel architecture to perform prediction. In this work, we introduce ensemble classifiers with features that are extracted directly from full length protein sequences to predict locations in the protein-sorting pathway hierarchically. Sequence driven features, sequence mapped features and sequence autocorrelation features were tested with ensemble learners and their performances were compared. When evaluated by independent data testing, ensemble based-bagging algorithms with sequence feature composition, transition and distribution （CTD） successfully classified two datasets with accuracies greater than 90%. We compared our results with similar published methods, and our method equally performed with the others at two levels in the secreted pathway. This study shows that the feature CTD extracted from protein sequences is effective in capturing biological features among compartments in secreted pathways.

关键词： Sequence driven features Sequence mapped features Autocorrelation Ensemble classifiter Protein Sorting

Mitigating growth-stress tradeoffs via elevated TOR signaling in rice

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Molecular Plant 2024年第2期17卷 240-257页

作者： Wei Li Jiaqi Liu Zeqi Li Ruiqiang Ye Wenzhen Chen Yuqing Huang Yue Yuan Yi Zhang Huayi Hu Peng Zheng Zhongming Fang Zeng Tao Shiyong Song Ronghui Pan Jian Zhang Jumim Tu Jen Sheen Hao Du State Key Laboratory of Rice biology College of Agriculture and BiotechnologyZhejiang UniversityYu-Hang-Tang Road No.866Hangzhou 310058China ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311215China Hainan Institute of Zhejiang University Sanya 572025China National Key Laboratory of Plant Molecular Genetics CASCenter for Excellence in Molecular Plant SciencesShanghai lnstitute of Plant Physiology and EcologyChineseAcademy of SciencesShanghai 200032China Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region(Ministry of Education) College of Agricultural SciencesGuizhouUniversityGuiyang 550025China State Key Laboratory of Rice biology and Breeding China National Rice Research InstituteHangzhou 311400China Department of Molecular biology and Center for computational and Integrative biology Massachusetts General Hospitaland Department of GeneticsHarvard Medical SchoolBostonMA02114USA

Rice production accounts for approximately half of the freshwater resources utilized in agriculture,result-ing in greenhouse gas emissions such as methane(CH4)from flooded paddy *** address this chal-lenge,environmentally friendly and cost-effective water-saving techniques have become widely adopted in rice ***,the implementation of water-saving treatments(WsTs)in paddy-field rice has been associated with a substantial yield loss of up to 50%as well as a reduction in nitrogen use efficiency(NUE).In this study,we discovered that the target of rapamycin(TOR)signaling pathway is compromised in rice under *** profiling-coupled transcriptome sequencing(polysome-seq)analysis unveiled a substantial reduction in global translation in response to WST associated with the downregulation of TOR ***,biochemical,and genetic analyses revealed new insights into the impact of the positive TOR-S6K-RPS6 and negative TOR-MAF1 modules on translation repression under ***,ammonium exhibited a greater ability to alleviate growth constraints under WsT by enhancing TOR signaling,which simultaneously promoted uptake and utilization of ammonium and nitrogen *** further demonstrated that TOR modulates the ammonium transporter AMT1;1 as well as the amino acid permease APP1 and dipeptide transporter NPF7.3 at the translational level through the 5'untranslated ***,these findings reveal that enhancing TOR signaling could mitigate rice yield penalty due to WST by regulating the processes involved in protein synthesis and *** study will contribute to the breeding of new rice varieties with increased water and fertilizer utilization efficiency.

关键词： target of rapamycin TOR water-saving rice low-carbon agriculture drought nitrogen use efficiency NUE

Impact of gene mutation in the development of Parkinson’s disease

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Genes & Diseases 2019年第2期6卷 120-128页

作者： Suganya Selvaraj Shanmughavel Piramanayagam computational biology Lab Department of BioinformaticsBharathiar UniversityCoimbatore641046India Professor Computational Biology LabDepartment of BioinformaticsBharathiar UniversityCoimbatore641046India

Parkinson’s disease(PD)is the second most common age related neurodegenerative disorder worldwide and presents as a progressive movement *** seven million to 10 million people have Parkinson’s *** is typically sporadic in *** of dopaminergic neurons from substantia nigra pars compacta(SNpc)and the neuronal intracellular Lewy body inclusions are the major cause of *** mutation and protein aggregation play a pivotal role in the degeneration of dopamine *** the actual cause of dopamine degeneration remains ***,several rare familial forms of PD are associated with genetic loci,and the recognition of causal mutations has provided insight into the disease ***,the molecular pathways and gene transformation that trigger neuronal susceptibility are inadequately *** discovery of a mutation in new genes has provided a basis for much of the ongoing molecular work in the PD field and testing of targeted *** gene mutation in a dominantly or recessively inherited gene results a great impact in the development of Parkinson’s *** this review,we summarize the molecular genetics of PD.

关键词： Gene mutation Mitochondrial dysfunction Parkinson’s disease Protein aggregation Susceptibility genes

Inferring the Effects of Protein Variants on Protein-Protein Interactions with Interpretable Transformer Representations

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Research 2024年第2期2023卷 473-489页

作者： Zhe Liu Wei Qian Wenxiang Cai Weichen Song Weidi Wang Dhruba Tara Maharjan Wenhong Cheng Jue Chen Han Wang Dong Xu Guan Ning Lin Shanghai Mental Health Center Shanghai Jiao Tong University School of MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina Shanghai Key Laboratory of Psychotic Disorders ShanghaiChina School of Information Science and Technology Institute of Computational BiologyNortheast Normal UniversityChangchunChina Department of Electrical Engineering and Computer Science University of MissouriColumbiaMO 65211USA Christopher S.Bond Life Sciences Center University of MissouriColumbiaMO 65211USA

Identifying pathogenetic variants and inferring their impact on protein-protein interactions sheds light on their functional consequences on *** by the availability of experimental data on the consequences of protein interaction,most existing methods focus on building models to predict changes in protein binding ***,we introduced MIPPI,an end-to-end,interpretable transformer-based deep learning model that learns features directly from sequences by leveraging the interaction data from *** was specifically trained to determine the types of variant impact(increasing,decreasing,disrupting,and no effect)on protein-protein *** demonstrate the accuracy of MIPPI and provide interpretation through the analysis of learned attention weights,which exhibit correlations with the amino acids interacting with the ***,we showed the practicality of MIPPI in prioritizing de novo mutations associated with complex neurodevelopmental disorders and the potential to determine the pathogenic and driving ***,we experimentally validated the functional impact of several variants identified in patients with such ***,MIPPI emerges as a versatile,robust,and interpretable model,capable of effectively predicting mutation impacts on protein-protein interactions and facilitating the discovery of clinically actionable variants.

关键词： consequences weights versatile