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Transcriptional regulation of phospholipid transport in cotton fiber elongation by GhMYB30D04–GhHD1 interaction complex

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Journal of Integrative Plant Biology 2024年第11期66卷 2431-2449页

作者： Qingwei Song Chuanhui Du Yiyang Xu Jin Wang Min Lin Kaijing Zuo single Cell Research Center College of Agriculture and BiologyShanghai Jiao Tong UniversityShanghai 200240China Biotechnology Research institute Chinese Academy of Agricultural SciencesBeijing 100081China College of Agriculture Henan UniversityKaifeng 450046China

Cotton fiber length is basically determined by wellcoordinated gene expression and phosphatidylinositol phosphates(PIPs) accumulation during fiber elongation but the regulatory mechanism governing PIPs transport remains ***,we report a MYB transcription factor GhMYB30D04 in Gossypium hirsutum that promotes fiber elongation through modulating the expression of PIP transporter gene *** of GhMYB30D04gene in cotton(KO) results in a reduction of GhLTPG1 transcripts with lower accumulation of PIPs,leading to shorter fibers and lower fiber ***,GhMYB30D04 overexpression(GhMYB30D04-OE) causes richer PIPs and longer cotton fibers,mimicking the effects of exogenously applying PIPs on the ovules of GhMYB30D04-KO and wild ***,GhMYB30D04 interacts with GhHD1,the crucial transcription factor of fiber initiation,to form an activation complex stabilized by PIPs,both of which upregulate GhLTPG1 *** omics-analysis revealed that higher and extended expressions of LTPG1 in fiber elongation mainly correlate with the variations of the GhMYB30D04 gene between two cotton allotetraploids,contributing to longer fiber in *** work clarifies a mechanism by which GhHD1–GhMYB30D04 form a regulatory module of fiber elongation to tightly control PIP *** work still has an implication that GhMYB30D04–GhHD1 associates with development transition from fiber initiation to elongation.

关键词： cotton fiber fiber cell elongation MYB–HD-ZIP transcription complex phospholipid transport transcriptional regulation

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Application of Meta-Mesh on the analysis of microbial communities from human associated-habitats

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Frontiers of Electrical and Electronic Engineering in China 2015年第1期10卷 4-18页

作者： Xiaoquan Su Xiaojun Wang Gongchao Jing Shi Huang Jian Xu Kang Ning Bioinformatics Group of single cell Center Shandong Key Laboratory of Energy Genetics and CAS Key Laboratory of BiofuelsQingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao 266101 China

With the current fast accumulation of microbial community samples and related metagenomic sequencing data, data integration and analysis system is urgently needed for in-depth analysis of large number of metagenomic samples （also referred to as ＂microbial communities＂） of interest. Although several existing databases have collected a large number of metagenomie samples, they mostly serve as data repositories with crude annotations, and offer limited functionality for analysis. Moreover, the few available tools for comparative analysis in the literature could only support the comparison of a few pre-defined set of metagenomic samples. To facilitate comprehensive comparative analysis on large amount of diverse microbial community samples, we have designed a Meta-Mesh system for a variety of analyses including quantitative analysis of similarities among microbial communities and computation of the correlation between the meta-information of these samples. We have used Meta-Mesh for systematically and efficiently analyses on diverse sets of human associate-habitat microbial community samples. Results have shown that Meta-Mesh could serve well as an efficient data analysis platform for discovery of clusters, biomarker and other valuable biological information from a large pool of human microbial samples.

关键词： metagenome microbial community data mining

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Comprehensive Evaluation and Prediction of the Effectiveness of H_(2)O_(2)- assisted Na_(2)CO_(3)Pretreatment of Corn Stover Using Multivariate Analysis

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Paper And Biomaterials 2021年第2期6卷 1-15页

作者： Xiaoyan Feng Xuejin Xie Yidong Zhang Guang Yu Chao Liu Bin Li Qiu Cui Key Laboratory of Biofuels Shandong Engineering Laboratory of Single Cell OilQingdao Engineering Laboratory of Single Cell OilQingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdaoShandong Province266101China Shandong Energy institute QingdaoShandong Province266101China Dalian National Laboratory for Clean Energy DalianLiaoning Province116023China

In this study,multivariate analysis methods,including a principal component analysis(PCA)and partial least square(PLS)analysis,were applied to reveal the inner relationship of the key variables in the process of H_(2)O_(2)-assisted Na_(2)CO_(3)(HSC)pretreatment of corn stover.A total of 120 pretreatment experiments were implemented at the lab scale under different conditions by varying the particle size of the corn stover and process *** results showed that the Na_(2)CO_(3) dosage and pretreatment temperature had a strong influence on lignin removal,whereas pulp refining instrument(PFI)refining and Na_(2)CO_(3) dosage played positive roles in the final total sugar ***,it was found that pretreatment conditions had a more significant impact on the amelioration of pretreatment effectiveness compared with the properties of raw corn *** addition,a prediction of the effectiveness of the corn stover HSC pretreatment based on a PLS analysis was conducted for the first time,and the test results of the predictability based on additional pretreatment experiments proved that the developed PLS model achieved a good predictive performance(particularly for the final total sugar yield),indicating that the developed PLS model can be used to predict the effectiveness of HSC ***,multivariate analysis can be potentially used to monitor and control the pretreatment process in future large-scale biorefinery applications.

关键词： lignocellulose pretreatment corn stover Na_(2)CO_(3) principle component analysis partial least square analysis

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An Automatic Method for Pulling Large Diameter Scintillation single Crystals

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人工晶体学报 1991年第Z1期 241-241页

作者： B.G.Zaslavsky,E.V.Danilenko,Yu.A..Solomakha,V.S.Suzdal,S.I.Vasetsky institute for single Crystals Kharkov USSR institute for single Crystals Kharkov USSR institute for single Crystals Kharkov USSR institute for single Crystals Kharkov USSR institute for single Crystals Kharkov USSR

The method for pulling large diameter single crystals with the abovesaid difficulties avoided is developed. Here the free melt surface does not depend on the growing crystal diameter and remains minimal during the whole growing process. The essence of this method is that at the stage of radial crystal growth the melt level in the crucible of a variable cross-section (for instance, in

关键词： this An Automatic Method for Pulling Large Diameter Scintillation single Crystals

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Growth behavior and electronic regulation of Pt on various Mo-based supports for hydrogen evolution electrocatalysis

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Science China Chemistry 2025年

作者： Lulu Chen Yichao Huang Jiajun Wang Meihong Liao Zhiyuan Liu Meiqi Liu Hanqing Cai Lin Wang Lidong Gao Dawei Hu Lianming Zhao Ning Pu Zhuangjun Fan State Key Laboratory of Chemical Safety School of Materials Science and Engineering China University of Petroleum (East China) School of Mechanical and Electronic Engineering Qingdao Binhai University Qingdao Chuangqi New Energy Catalysis Technology Co.Ltd. Sinopec Research institute of Petroleum Processing Co.Ltd. institute of Energy Hefei Comprehensive National Science Center

Insight into the growth behavior and electronic regulation of platinum （Pt） on various transition metal supports is paramount in developing high-performing electrocatalysts for hydrogen evolution reactions （HER）.Herein,we studied the influence of molybdenum-based supports （MoX,X=C,N,P,and S） on the growth behavior and electronic regulation of *** found that the formation energy variations between Pt single atom and clusters on MoX supports play a pivotal role in the growth behavior of ***,the electronic regulation of Pt induced by metal-support interaction may reflect the valence changes of Pt in Pt-MoX/*** Pt-MoC/C catalyst with a moderate valence state of Pt exhibits the best HER activity with an overpotential of 12.0 mV at 10 mA cm-2and a mass activity of 27.1 A mgPt-1,12.3 times as high as that of commercial 20 wt% Pt/*** work provides constructive guidance for the design of high-performance HER catalysts.

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Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models Duc-Dam Nguyen Nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van Le Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research institute of the University of Bucharest Bucharest050663Romania National institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

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Multi-layer multi-pass friction rolling additive manufacturing of Al alloy:Toward complex large-scale high-performance components

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 425-438页

作者： Haibin Liu Run Hou Chenghao Wu Ruishan Xie Shujun Chen College of Mechanical&Energy Engineering Beijing University of TechnologyBeijing 100124China Chongqing Research institute of Beijing University of Technology Chongqing 401121China

At present,the emerging solid-phase friction-based additive manufacturing technology,including friction rolling additive man-ufacturing(FRAM),can only manufacture simple single-pass *** this study,multi-layer multi-pass FRAM-deposited alumin-um alloy samples were successfully prepared using a non-shoulder tool *** material flow behavior and microstructure of the over-lapped zone between adjacent layers and passes during multi-layer multi-pass FRAM deposition were studied using the hybrid 6061 and 5052 aluminum *** results showed that a mechanical interlocking structure was formed between the adjacent layers and the adja-cent passes in the overlapped center *** friction and rolling of the tool head led to different degrees of lateral flow and plastic deformation of the materials in the overlapped zone,which made the recrystallization degree in the left and right edge zones of the over-lapped zone the highest,followed by the overlapped center zone and the non-overlapped *** tensile strength of the overlapped zone exceeded 90%of that of the single-pass deposition *** is proved that although there are uneven grooves on the surface of the over-lapping area during multi-layer and multi-pass deposition,they can be filled by the flow of materials during the deposition of the next lay-er,thus ensuring the dense microstructure and excellent mechanical properties of the overlapping *** multi-layer multi-pass FRAM deposition overcomes the limitation of deposition width and lays the foundation for the future deposition of large-scale high-performance components.

关键词： aluminum alloy additive manufacturing solid-state friction stir welding multi-layer multi-pass

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Protein Arginine Methyltransferase 1 Ablation in Motor Neurons Causes Mitochondrial Dysfunction Leading to Age-related Motor Neuron Degeneration with Muscle Loss

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Research 2024年第1期2023卷 637-649页

作者： Hyun-Kyung So Hyebeen Kim Jinwoo Lee Chang-Lim You Chae-Eun Yun Hyeon-Ju Jeong Eun-Ju Jin Yunju Jo Dongryeol Ryu Gyu-Un Bae Jong-Sun Kang Department of Molecular Cell Biology Sungkyunkwan University School of MedicineSuwonKorea single Cell Network Research Center Sungkyunkwan University School of MedicineSuwonKorea Research institute of Aging-Related Diseases AniMusCureInc.SuwonKorea Drug Information Research institute Muscle Physiome Research CenterCollege of PharmacySookmyung Women’s UniversitySeoulKorea

Neuromuscular dysfunction is tightly associated with muscle wasting that occurs with age or due to degenerative ***,the molecular mechanisms underlying neuromuscular dysfunction are currently *** studies have proposed important roles of Protein arginine methyltransferase 1(Prmt1)in muscle stem cell function and muscle *** the current study,we set out to determine the role of Prmt1 in neuromuscular function by generating mice with motor neuron-specific ablation of Prmt1(mnKO)using *** exhibited age-related motor neuron degeneration and neuromuscular dysfunction leading to premature muscle loss and ***1 deficiency also impaired motor function recovery and muscle reinnervation after sciatic nerve *** transcriptome analysis of aged mnKO lumbar spinal cords revealed alterations in genes related to inflammation,cell death,oxidative stress,and ***,mnKO lumbar spinal cords of sciatic nerve injury model or aged mice exhibited elevated cellular stress response in motor ***,Prmt1 inhibition in motor neurons elicited mitochondrial *** findings demonstrate that Prmt1 ablation in motor neurons causes agerelated motor neuron degeneration attributing to muscle ***,Prmt1 is a potential target for the prevention or intervention of sarcopenia and neuromuscular dysfunction related to aging.

关键词： degeneration impaired prevention

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Artificial intelligence-assisted automatic and index-based microbial single-cell sorting system for One-Cell-One-Tube

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mLife 2022年第4期1卷 448-459页

作者： Zhidian Diao Lingyan Kan Yilong Zhao Jingyun Song Chen Wang Yang Liu Fengli Zhang Teng Xu Rongze Chen Xixian Wang Xiaoyan Jing Jian Xu Yuandong Li Bo Ma CAS Key Laboratory of Biofuels Shandong Key Laboratory of Energy GeneticsSingle-Cell CenterQingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdaoChina University of Chinese Academy of Sciences BeijingChina Shandong Energy institute QingdaoChina Qingdao New Energy Shandong Laboratory QingdaoChina.5Qingdao Single-Cell Biotechnology Co.Ltd.QingdaoChina.

Identification,sorting,and sequencing of individual cells directly from in situ samples have great potential for in-depth analysis of the structure and function of *** this work,based on an artificial intelligence(AI)-assisted object detection model for cell phenotype screening and a cross-interface contact method for single-cell exporting,we developed an automatic and index-based system called EasySort AUTO,where individual microbial cells are sorted and then packaged in a microdroplet and automatically exported in a precisely indexed,“One-Cell-One-Tube”*** target cell is automatically identified based on an AI-assisted object detection model and then mobilized via an optical tweezer for ***,a crossinterface contact microfluidic printing method that we developed enables the automated transfer of cells from the chip to the tube,which leads to coupling with subsequent single-cell culture or *** efficiency of the system for single-cell printing is>93%.The throughput of the system for single-cell printing is~120 cells/***,>80%of single cells of both yeast and Escherichia coli are culturable,suggesting the superior preservation of cell viability during ***,AI-assisted object detection supports automated sorting of target cells with high accuracy from mixed yeast samples,which was validated by downstream single-cell proliferation *** automation,index maintenance,and vitality preservation of EasySort AUTO suggest its excellent application potential for single-cell sorting.

关键词： artificial intelligence One-Cell-One-Tube(OCOT) single-cell analysis single-cell printing single-cell sorting

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The effects of selenization conditions on the microstructure and optoelectronic properties of CZTSSe absorber layers prepared by the sol-gel method

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Optoelectronics Letters 2025年

作者： BAI Xin XUE Yuming DAI Hongli WANG Luoxin BAI Xinfeng HU Xiaofeng institute of New Energy Intelligence Equipment， School of Integrated Circuit Science and Engineering， Tianjin University of Technology

Cu2ZnSnSSe4（CZTSSe） thin film solar cells， with adjustable bandgap and rich elemental content， hold promise in next-gen photovoltaics. Crystalline quality is pivotal for efficient light absorption and carrier transport. During the post-selenization process， understanding crystal growth mechanisms， and improving layer quality are essential. We explored the effects of ramp rate and annealing temperature on CZTSSe films， using XRD， Raman， SEM， and UV-Vis. The optimal performance occurred at 25.25 ℃/min ramp rate and 530℃ annealing. This led to smoother surfaces， higher density， and larger grains. This condition produced a single-layer structure with large grains， no secondary phases， and a 1.14 eV bandgap， making it promising for photovoltaic applications. The study has highlighted the effect of selenization conditions on the characteristics of the CZTSSe absorber layer and has provided valuable information for developing CZTSSe thin film solar cells.

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