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MbEOMT1 regulates methyleugenol biosynthesis in Melaleuca bracteata F. Muell

TREE PHYSIOLOGY 2024年第4期44卷 tpae034-tpae034页

作者： Yang, Chao Lin, Yongsheng Xiang, xuwen Shao, Dandan Qiu, Ziwen Li, Yongyu wu, Shaohua Fujian Agr & Forestry Univ Coll Hort Key Lab Minist Educ Genet Breeding & Multiple Utilizat Crops 15 Shangxiadian Rd Fuzhou 350002 Peoples R China Fujian Agr & Forestry Univ Inst Nat Prod Hort Plants 15 Shangxiadian Rd Fuzhou 350002 Peoples R China Fujian Agr & Forestry Univ Coll Life Sci 15 Shangxiadian Rd Fuzhou 350002 Peoples R China Agr Sci & Technol Res Ctr Chaozhou Guangdong Prov Chaozhou 315600 Peoples R China

Methyleugenol, a bioactive compound in the phenylpropene family, undergoes its final and crucial biosynthetic transformation when eugenol O-methyltransferase (EOMT) converts eugenol into methyleugenol. While Melaleuca bracteata F. Muell essential oil is particularly rich in methyleugenol, it contains only trace amounts of its precursor, eugenol. This suggests that the EOMT enzyme in M. bracteata is highly efficient, although it has not yet been characterized. In this study, we isolated and identified an EOMT gene from M. bracteata, termed MbEOMT1, which is primarily expressed in the flowers and leaves and is inducible by methyl jasmonate (MeJA). Subcellular localization of MbEOMT1 in the cytoplasm was detected. Through transient overexpression experiments, we found that MbEOMT1 significantly elevates the concentration of methyleugenol in M. bracteata leaves. Conversely, silencing of MbEOMT1 via virus-induced gene silencing led to a marked reduction in methyleugenol levels. Our in vitro enzymatic assays further confirmed that MbEOMT1 specifically catalyzes the methylation of eugenol. Collectively, these findings establish that the MbEOMT1 gene is critical for methyleugenol biosynthesis in M. bracteata. This study enriches the understanding of phenylpropene biosynthesis and suggests that MbEOMT1 could serve as a valuable catalyst for generating bioactive compounds in the future.

关键词： fragrance methylation O-methyltransferases (OMTs) phenylpropene shikimate pathway synthesis

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Coacervation-driven instant paintable underwater adhesives with tunable optical and electrochromic properties

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JOURNAL OF MATERIALS CHEMISTRY A 2021年第22期9卷 12988-13000页

作者： Peng, Qiongyao Chen, Jingsi Wang, Tao Gong, Lu Peng, xuwen wu, Meng Ma, Yuhao wu, Feiyi Yang, Diling Zhang, Hao Zeng, Hongbo Univ Alberta Dept Chem & Mat Engn Edmonton AB T6G 1H9 Canada Univ Alberta Dept Biomed Engn Edmonton AB T6G 2V2 Canada

Coacervation generally refers to liquid-liquid phase separation when mixing oppositely charged polyelectrolytes in an aqueous solution, which produces a polyelectrolyte-dense coacervate phase in a dilute solution phase. Coacervation plays a crucial role in many biological processes such as the versatile underwater adhesion of sessile organisms, cellular compartmentalization, and cell replication, which inspires a surge of biomimetic designs of underwater adhesives. However, conventional coacervate-based underwater adhesives are usually weak and lack functionalities, limiting their practical applications in biomedical and engineering fields. Herein, a novel instant underwater adhesive is presented based on coacervation via one-step mixing of aqueous solutions of silicotungstic acid (SiW) and poly(ethylene glycol)-block-poly(propylene glycol)-block-poly(ethylene glycol) (P123) micelles, driven by hydrogen-bonding and hydrophobic interactions. The as-prepared adhesive possesses instant and excellent underwater adhesion (up to 479.6 kPa on poly(methyl methacrylate)) and can be facilely painted underwater on diverse substrates, showing resistance to water flush as well as repeatable stretching and bending of the substrates, superior to many previously reported coacervates. The adhesive also exhibits outstanding stability in high-salt aqueous solutions up to 3 M for at least 1200 h. The introduction of P123 endows the adhesives with thermo-responsive optical properties, while the innate reduction-related color switch of SiW offers electrochromic properties. The functional adhesives hold great promise in bioengineering applications and for the fabrication of novel flexible electronics such as smart aqueous batteries and low-power electrochromic windows.

关键词： Substrates

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Identification of Ground Fissure Development in a Semi-Desert Aeolian Sand Area Induced from Coal Mining: Utilizing UAV Images and Deep Learning Techniques

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REMOTE SENSING 2024年第6期16卷 1046页

作者： Tao, Tao Han, Keming Yao, Xin Chen, Ximing wu, Zuoqi Yao, Chuangchuang Tian, xuwen Zhou, Zhenkai Ren, Kaiyu China Univ Geosci Fac Engn Wuhan 430074 Peoples R China Chinese Acad Geol Sci Inst Geomech Beijing 100081 Peoples R China Minist Nat Resources Key Lab Act Tecton & Geol Safety Beijing 100081 Peoples R China CCTEG Ecol Environm Technol Co Ltd Beijing 100013 Peoples R China

The occurrence of surface strata movement in underground coal mining leads to the generation of numerous ground fissures, which not only damage the ecological environment but also disrupt building facilities, lead to airflow and easily trigger coal spontaneous combustion, induce geological disasters, posing a serious threat to people's lives, property, and mining production. Therefore, it is particularly important to quickly and accurately obtain the information of ground fissures and then study their distribution patterns and the law of spatial-temporal evolution. The traditional field investigation methods for identifying fissures have low efficiency. The rapid development of UAVs has brought an opportunity to address this issue. However, it also poses new questions, such as how to interpret numerous fissures and the distribution law of fissures with underground mining. Taking a mine in the Shenfu coalfield on the semi-desert aeolian sand surface as the research area, this paper studies the fissure recognition from UAV images by deep learning, fissure development law, as well as the mutual feed of surface condition corresponding to the under-ground mining progress. The results show that the DRs-UNet deep learning method can identify more than 85% of the fissures;however, due to the influence of seasonal vegetation changes and different fissure development stages, the continuity and integrity of fissure recognition methods need to be improved. Four fissure distribution patterns were found. In open-cut areas, arc-shaped fissures are frequently observed, displaying significant dimensions in terms of depth, length, and width. Within subsidence basins, central collapse areas exhibit fissures that form perpendicular to the direction of the working face. Along roadways, parallel or oblique fissures tend to develop at specific angles. In regions characterized by weak roof strata and depressed basins, abnormal reverse-"C"-shaped fissures emerge along the mining direction.

关键词： mining strata movement law mining ground fissure UAVs automatic identification Shenfu coalfield

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Identifying key elements for evidence-base medicine using pretrained model and graph convolution network

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Procedia Computer Science 2023年 221卷 557-564页

作者： Fengchun Yang Xiaowei Xu Meng wu xuwen Wang Liu Shen Qing Qian Jiao Li Institute of Medical Information Chinese Academy of Medical Sciences/Peking Union Medical College Beijing 100020 China Key Laboratory of Medical Information Intelligent Technology Chinese Academy of Medical Sciences Beijing 100020 China

Objective: Evidence-based medicine (EBM) provides a framework to support clinicians' decision-making processes using the best evidence currently available in the field. The key elements of clinical research can be defined by a framework called PICO, which identifies the sentences in a medical literature text that belong to the four key elements reported in clinical trials: Participants/Problem (P), Intervention (I), Comparison (C) and Outcome (O). This study aims to establish an effective detection method for key elements of evidence-based medical research. Methods: Based on the text features of key elements framework, we propose a deep learning model BERTGCN which combined large-scale pretraining model and graph convolution network (GCN) for detecting key elements of evidence-based medicine. In this model, the sentences which are initialized with pre-trained BERT representations and the words in the EBM evidence were recognized as the sentence nodes and word of the graph which were used to train GCN model. At the same time, the sentences were used to fine tune the pretraining model. Results: We tested our proposed approach over PubMed-PICO dataset is a data set containing tens of thousands of EBM key elements extracted from PubMed. The F1-score of P/I/O in the model we proposed reached 91.3%, 85.8% and 90.0% respectively. Experimental results show that our model outperforms the current optimal model. Conclusions: BERTGCN is able to leverage the advantages of both worlds: large-scale pretraining and transudative learning to improve the efficiency of detecting evidence-based medical evidence from research publications.

关键词： evidence-based medicine natural language process graph convolution network evidence identification

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Influence of Femtosecond Laser Surface Modification on Tensile Properties of Titanium Alloy

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MICROMACHINES 2024年第1期15卷 152-152页

作者： Zhou, Kai Nie, Xiaoyuan Che, Xingbang Xiao, Han Wang, xuwen Liao, Junming wu, Xu Yang, Can Li, Chunbo Shenzhen Technol Univ Sino German Coll Intelligent Mfg Shenzhen 518118 Peoples R China Shenzhen Technol Univ Key Lab Adv Opt Precis Mfg Technol Guangdong Higher Educ Inst Shenzhen 518118 Peoples R China

Titanium alloy components often experience damage from impact loads during usage, which makes improving the mechanical properties of TC4 titanium alloys crucial. This paper investigates the influence of laser scanning irradiation on the tensile properties of thin titanium alloy sheets. Results indicate that the tensile strength of thin titanium alloy sheets exhibits a trend of initial increase followed by a decrease. Different levels of enhancement are observed in the elongation at break of a cross-section. Optimal improvement in the elongation at break is achieved when the laser fluence is around 8 J/cm2, while the maximum increase in tensile strength occurs at approximately 10 J/cm2. Using femtosecond laser surface irradiation, this study compares the maximum enhancement in the tensile strength of titanium alloy base materials, which is approximately 8.54%, and the maximum increase in elongation at break, which reaches 25.61%. In addition, the results verify that cracks in tensile fractures of TC4 start from the middle, while laser-induced fracture cracks occur from both ends.

关键词： TC4 femtosecond laser surface modification process parameters mechanical properties

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Effect of Process Parameters on the Properties of Direct Written Gas-Generating Reactive Layers

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ACS APPLIED POLYMER MATERIALS 2021年第8期3卷 3972-3980页

作者： Sevely, Florent Liu, xuwen wu, Tao Mesnilgrente, Fabien Franc, Bernard Assie-Souleille, Sandrine Dollat, Xavier Rossi, Carole Univ Toulouse LAAS CNRS F-31400 Toulouse France Nanjing Univ Sci & Technol Sch Chem Engn Nanjing 210094 Peoples R China

A mixture of copper complex and AI/CuO nanothermite, Al/CuO/CuC, represents one of the state-of-the-art gas-generating thermite systems with various pyrotechnic applications due to its tunable gas release rates. The reactivity of reactive inks with various loadings of the poly(vinylpyrrolidone) (PVP) binder mixed with Al/CuO/CuC is characterized using high-speed imaging diagnostics and pressure measurements. For a PVP mass fraction of <7 wt %, the printed materials remain highly reactive and burn at a high velocity (10-54 m/s), which was one of the important goals of this study. At higher PVP contents, the polymer inhibits the reaction. Printing (dropwise and continuously writing) of inks containing 5 wt % PVP and 95 wt % reactive Al/CuO/CuC powder was demonstrated using a volumetrically controlled dispenser and a pneumatically actuated syringe. The pressure development and burning rate of the printed materials are 0.37 MPa (at 46.3% theoretical maximum density (TMD)) and 17 m/s (at 0.24% TMD), respectively, more than 10 times faster than the majority of works dealing with printed energetic formulations.

关键词： reactive material 3D printing thermite gas generation energetic materials direct writing

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NT-seq: a chemical-based sequencing method for genomic methylome profiling

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GENOME BIOLOGY 2022年第1期23卷 1页

作者： Li, xuwen Guo, Shiyuan Cui, Yan Zhang, Zijian Luo, Xinlong Angelova, Margarita T. Landweber, Laura F. Wang, Yinsheng wu, Tao P. Baylor Coll Med Dept Mol & Human Genet Houston TX 77030 USA Univ Calif Riverside Genet Genom & Bioinformat Grad Program Riverside CA 92521 USA Columbia Univ Dept Biochem & Mol Biophys New York NY USA Columbia Univ Dept Biol Sci New York NY 10027 USA Univ Calif Riverside Dept Chem Riverside CA 92521 USA Baylor Coll Med Huffington Ctr Aging Houston TX 77030 USA Baylor Coll Med Dan L Duncan Comprehens Canc Ctr Houston TX 77030 USA

DNA methylation plays vital roles in both prokaryotes and eukaryotes. There are three forms of DNA methylation in prokaryotes: N-6-methyladenine (6mA), N-4-methylcytosine (4mC), and 5-methylcytosine (5mC). Although many sequencing methods have been developed to sequence specific types of methylation, few technologies can be used for efficiently mapping multiple types of methylation. Here, we present NT-seq for mapping all three types of methylation simultaneously. NT-seq reliably detects all known methylation motifs in two bacterial genomes and can be used for identifying de novo methylation motifs. NT-seq provides a simple and efficient solution for detecting multiple types of DNA methylation.

关键词： DNA methylation Next-generation sequencing Whole-genome epigenetic profiling

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Engineered Bacterial Outer Membrane Vesicles-Based Doxorubicin and CD47-siRNA Co-Delivery Nanoplatform Overcomes Immune Resistance to Potentiate the Immunotherapy of Glioblastoma

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ADVANCED MATERIALS 2025年第15期37卷 e2418053页

作者： You, Haoyu Zhang, Shilin Zhang, Yiwen Chen, Qinjun wu, Yuxing Zhou, Zheng Zhao, Zhenhao Su, Boyu Li, xuwen Guo, Yun Chen, Yun Tang, Weiyi Liu, Bing Fan, Hongrui Geng, Shuo Fang, Mingzhu Li, Fangxin Liu, Guangna Jiang, Chen Sun, Tao Fudan Univ Sch Pharm State Key Lab Med Neurobiol Minhang HospInnovat Ctr New Drug Dev Immune Infla Shanghai 201203 Peoples R China Fudan Univ MOE Frontiers Ctr Brain Sci Sch Pharm Dept Pharmaceut Shanghai 201203 Peoples R China Fujian Med Univ Affiliated Hosp 1 Natl Reg Med Ctr Dept Orthoped Binhai Campus Fuzhou 350212 Peoples R China Quzhou Fudan Inst Quzhou 324003 Peoples R China

Apart from the blood-brain barrier (BBB), the efficacy of immunotherapy for glioblastoma (GBM) is limited by the presence of intrinsic and adaptive immune resistance, implying that co-delivery of various immunotherapeutic agents or simultaneous regulation of different cells is urgently needed. Bacterial outer membrane vesicles (OMVs) offer a unique advantage in the treatment of GBM, owing to their multifunctional properties as carriers and immune adjuvants and their ability to cross the BBB. However, traditional OMVs can lead to toxic side effects and disruption of tight junctions in the BBB. Therefore, to enhance the in vivo safety and targeting capability of OMVs, we introduced engineered OMVs to reduce toxicity and further constructed a modularly assembled nanoplatform by performing simple peptide modifications. This nanoplatform demonstrates satisfactory biosafety and is able to continuously cross the BBB and target GBM with the assistance of Angiopep-2. Subsequently, immunogenic substances on OMVs, along with carried small-interfering RNA (siRNA) and doxorubicin, can promote and enhance the reprogramming and phagocytic abilities of macrophages and microglia, respectively, and increase the immunogenicity of GBM, ultimately overcoming GBM immune resistance to enhance the efficacy of immunotherapy. This OMVs-based nanoplatform provides a new paradigm and insights into the development of immunotherapy for GBM.

关键词： engineering technology glioblastoma immune resistance immunotherapy outer membrane vesicles

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Adaptive Temporal High-pass Infrared Non-uniformity Correction Algorithm Based on Guided Filter 2021

Adaptive Temporal High-pass Infrared Non-uniformity Correcti...

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7th International Conference on Computing and Artificial Intelligence, ICCAI 2021

作者： Zhang, Y.I. Li, xuwen Zheng, Xin wu, Qiang Beijing University of Technology Beijing China

ISBN: (纸本)9781450389501

In the scene-based infrared focal plane non-uniformity correction algorithm, the temporal high-pass filter non-uniformity correction algorithm is widely cited in various system platforms due to its low hardware platform requirements, but this algorithm is prone to "ghosting"problems and the corrected image still contains certain non-uniformity problems. To solve these problems, this paper proposes an adaptive temporal high-pass filter algorithm based on guided filter. The algorithm uses guided filter to accurately separate high-frequency components containing a large amount of fixed noise and image details, and performs image motion through adjacent frame residual images detection to determine whether to use high-frequency components for iterative operations in the temporal high-pass algorithm, and use the current image detail information to adaptively update the correction parameters of the temporal high-pass filter to avoid the accumulation of image detail information to complete the entire infrared non-uniformity correction . The algorithm in this paper uses actual infrared scene images to compare with the traditional temporal high-pass filter algorithm and bilateral filtering temporal high-pass algorithm. The results show that the algorithm proposed in this paper not only has a good correction effect, but also effectively suppresses the "ghosting"problem. © 2021 ACM.

关键词： High pass filters

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Immunogenicity and safety of an inactivated SARS-CoV-2 vaccine in people living with HIV: A cross-sectional study

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JOURNAL OF MEDICAL VIROLOGY 2022年第9期94卷 4224-4233页

作者： Cai, Shaohang Liao, Guichan Yu, Tao Gao, Qiqing Zou, Lirong Zhang, Huan Xu, xuwen Chen, Juanjuan Lu, Aili wu, Yingsong Li, Baisheng Peng, Jie Southern Med Univ Nanfang Hosp Dept Infect Dis Guangzhou 510515 Peoples R China Southern Med Univ Shunde Hosp Dept Infect Dis Shunde Peoples R China Inst Microbiol Ctr Dis Control & Prevent Guangdong Prov 160 Qunxian RdDashi St Guangzhou 511430 Peoples R China Southern Med Univ Inst Antibody Engn Sch Lab Med & Biotechnol Guangzhou 510515 Peoples R China

We aimed to analyze the efficacy and safety of an inactivated SARS-CoV-2 vaccine in people living with HIV (PLWH). A total of 143 PLWH and 50 healthy individuals were included in this study. A commercially available magnetic chemiluminescence enzyme immunoassay kit was used to detect serum IgG and IgM antibodies against SARS-CoV-2. Serum levels of SARS-CoV-2-specific IgG were significantly higher in the control group than in the PLWH group (p = 0.001). Overall, 76% of individuals in the control group were detected with seropositivity IgG against SARS-CoV-2 compared to 58% in the PLWH group (p = 0.024). In PLWH with IgG seropositivity, CD4+ T-cell counts before antiretroviral therapy (ART) was higher (p = 0.015). Multivariable analysis indicated that CD4+ T cells at IgG detection (odds ratio [OR] = 1.004, p = 0.006) and time after vaccination (OR = 0.977, p = 0.014) were independently associated with seropositivity IgG against SARS-CoV-2 in PLWH. Neutralizing antibody (nAb) titers in PLWH against wild-type SARS-CoV-2 were similar to those in the control group (p = 0.160). The proportion of seropositive nAbs against wild-type SARS-CoV-2 was also similar (95% in the control group vs. 97% in the PLWH group, p = 0.665). Similar results were obtained when nAb was detected against the delta variants with similar titers (p = 0.355) and a similar proportion of seropositive nAbs were observed (p = 0.588). All the side effects observed in our study were mild and self-limiting. The inactivated COVID-19 vaccine appears to be safe with good immunogenicity in Chinese PLWH.

关键词： COVID-19 human immunodeficiency virus neutralizing antibody SARS-CoV-2 vaccination side effects

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