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Leaf metabolomic traits decipher the invasiveness of Alternanthera philoxeroides in urban wetlands

science of the Total Environment 2025年 968卷 178888页

作者： Huang, Xiaolong Yang, Jinming Yang, Xue Wang, Tong Meng, Jie Guo, Xiao Wang, Yang Xiong, Wen Zeng, Jin Wu, Zhaoshi Li, Kuanyi Jeppesen, Erik Key Laboratory of Lake and Watershed Science for Water Security Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing211135 China College of Landscape Architecture and Forestry Qingdao Agricultural University Qingdao266109 China Key Laboratory for Green Chemical Process of Ministry of Education Hubei Key Laboratory of Novel Reactor and Green Chemical Technology Institute of Changjiang Water Environment and Ecological Security School of Environmental Ecology and Biological Engineering Wuhan Institute of Technology Wuhan430205 China College of Life Sciences Hubei Normal University Huangshi435002 China Sino-Danish College University of Chinese Academy of Sciences Beijing China Department of Ecoscience Aarhus University Aarhus Denmark Limnology Laboratory Department of Biological Sciences and Centre for Ecosystem Research and Implementation Middle East Technical University Ankara Turkey Institute of Marine Sciences Middle East Technical University Erdemli-Mersin Turkey Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental Science Yunnan University Kunming China

Urbanisation has been considered to promote exotic plant invasion. Ecophysiology predicts phenotypic variation and potential evolution following urbanisation and can be used to evaluate plant invasiveness. However, few studies have included the role of ecophysiological traits for such invasiveness in urban ecosystems. Traditional plant functional traits have been used but have their limitations. Novel approaches such as metabolomics may potentially be useful. The present study explored the invasiveness of the cosmopolitan noxious invasive plant Alternanthera philoxeroides in urban and periurban areas of a megacity city in China using both traditional leaf functional traits and novel leaf metabolome as indicators. We found that traditional leaf functional traits, including specific leaf area, nitrogen concentration, carbon:nitrogen ratio and construction costs, did not differ between urban and periurban A. philoxeroides populations. However, metabolomic profiling showed that the urban populations had an up-regulated expression of zeatin and purine, two cytokinins correlated with plant growth and a down-regulated expression of isoflavonoids, a defensive metabolite for herbivory. Leaf metabolome may, therefore, be sensitive in deciphering the facilitative effects of urbanisation on plant invasion. We also found that the urban populations of A. philoxeroides accumulated more beneficial microbes, which might enhance their invasiveness. Urbanisation likely promotes exotic plants invasion through generation of metabolites, which stimulates growth via modification of the soil microbiome. Our results indicate that leaf metabolome may be used for interpreting plant invasiveness and predicting plant invasion. © 2025 Elsevier B.V.

关键词： Plant diseases

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Longitudinal transcriptome analyses show robust T cellimmunity during recovery from COVID-19

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Signal Transduction and Targeted Therapy 2021年第1期6卷 105-116页

作者： Hong-Yi Zheng Min Xu Cui-Xian Yang Ren-Rong Tian Mi Zhang Jian-Jian Li Xi-Cheng Wang Zhao-Li Ding Gui-Mei Li Xiao-Lu Li Yu-Qi He Xing-Qi Dong Yong-Gang Yao Yong-Tang Zheng Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common DiseasesCenter for Biosafety Mega-ScienceKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Yunnan Infectious Disease Hospital Kunming 650301China Kunming Biological Diversity Regional Center of Large Apparatus and Equipments Public Technical Service CenterChinese Academy of SciencesKunmingYunnan 650223China Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China

Understanding the processes of immune regulation in patients infected with the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is crucial for improving ***,we performed longitudinal whole-transcriptome RNA sequencing on peripheral blood mononuclear cell(PBMC)samples from 18 patients with coronavirus disease 2019(COVID-19)during their treatment,convalescence,and *** analyzing the regulatory networks of differentially expressed messenger RNAs(mRNAs),microRNAs(miRNAs)and long non-coding RNAs(lncRNAs)between the different clinical stages,we found that humoral immunity and type I interferon response were significantly downregulated,while robust T-cell activation and differentiation at the whole transcriptome level constituted the main events that occurred during recovery from *** formation of this T cell immune response might be driven by the activation of activating protein-1(AP-1)related signaling pathway and was weakly affected by other clinical *** findings uncovered the dynamic pattern of immune responses and indicated the key role of T cell immunity in the creation of immune protection against this disease.

关键词： immunity transcriptome interferon

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GABAB receptor pas de deux: insights from high-resolution structures

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细胞研究（英文版） 2020年第8期30卷 631-632页

作者： Yi Jiang H.Eric Xu The CAS Key Laboratory of Receptor Research Shanghai Institute of Materia Medica Chinese Academy of Sciences 201203 Shanghai China University of Chinese Academy of Sciences 100049 Beijing China School of Life Science and Technology ShanghaiTech University 201210 Shanghai China

The GABAB receptors are heterodimeric class C G proteincoupled receptors (GPCRs) that mediate the inhibitory neurotransmission in the central nervous system and they are drug targets for alcoholism and pain *** a recent paper published in Cell Research, Mao et *** the first full-length GABAB heterodimer structures in both inactive and active states, providing a framework for understanding the activation of class C GPCRs and a template for designing allosteric modulators targeting the dimeric interface of the GABAB receptors.

关键词： Cryoelectron microscopy Molecular biology

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Reproducibility Assessment of Magnetic Resonance Spectroscopy of Pregenual Anterior Cingulate Cortex across Sessions and Vendors via the Cloud Computing Platform CloudBrain-MRS

arXiv

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arXiv 2025年

作者： Chen, Runhan Lin, Meijin Chen, Jianshu Lin, Liangjie Wang, Jiazheng Li, Xiaoqing Wang, Jianhua Huang, Xu Qian, Ling Liu, Shaoxing Long, Yuan Guo, Di Qu, Xiaobo Han, Haiwei National Institute for Data Science in Health and Medicine Xiamen University Xiamen361102 China College of Ocean & Earth Sciences Xiamen University Xiamen361102 China Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Xiamen University Xiamen361102 China Department of Electronic Science Xiamen University Xiamen361102 China Clinical and Technical Support Philips Healthcare Beijing100016 China School of Economics and Management Xiamen University of Technology Xiamen361024 China Department of Radiology The First Hospital Affiliated to Xiamen University Xiamen361003 China Software Technology Company Limited Suzhou215163 China School of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China

Given the need to elucidate the mechanisms underlying illnesses and their treatment, as well as the lack of harmonization of acquisition and post-processing protocols among different magnetic resonance system vendors, this work is to determine if metabolite concentrations obtained from different sessions, machine models and even different vendors of 3 T scanners can be highly reproducible and be pooled for diagnostic analysis, which is very valuable for the research of rare diseases. Participants underwent magnetic resonance imaging (MRI) scanning once on two separate days within one week (one session per day, each session including two proton magnetic resonance spectroscopy (1H-MRS) scans with no more than a 5-minute interval between scans (no off-bed activity)) on each machine. were analyzed for reliability of within- and between sessions using the coefficient of variation (CV) and intraclass correlation coefficient (ICC), and for reproducibility of across the machines using correlation coefficient. As for within- and between- session, all CV values for a group of all the first or second scans of a session, or for a session were almost below 20%, and most of the ICCs for metabolites range from moderate (0.4≤ICC © 2025, CC BY.

关键词： Magnetic resonance imaging

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MG-Net: Multi-Level Global-Aware Network for Thymoma Segmentation

SSRN

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SSRN 2022年

作者： Li, Jingyuan Sun, Wenfang von Deneen, Karen M. Zhang, Yi Cui, Guangbin Center for Brain Imaging School of Life Science and Technology Xidian University Shaanxi Xi'An710126 China International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information School of Life Science and Technology Xidian University Shaanxi Xi'An710126 China School of Aerospace Science and Technology Xidian University Shaanxi Xi’an710126 China Department of Radiology Tangdu Hospital Fourth Military Medical University Shaanxi Xi’an710038 China

Background and Objective: Automatic thymoma segmentation in preoperative contrast-enhanced chest computed tomography (CECT) images makes great sense for diagnosis and surgical planning. Although convolutional neural networks (CNNs) are distinguished in medical image segmentation, they are challenged by thymomas with large variations of shape, scale and texture, owing to the intrinsic locality of convolution operations. In order to overcome this deficit, we built a new deep learning network with enhanced global aware ability for improving the performance of thymoma ***: We propose a multi-level global-aware network (MG-Net) for accurate thymoma segmentation, in which the multi-level feature interaction and integration are jointly designed to effectively enhance the global awareness of traditional CNNs. Particularly, we design cross-attention block (CAB) to calculate pixel-wise interactions of multi-level features, resulting in Global Enhanced Convolution Block (GCB), which can enable the network to handle the thymomas with variable sizes by strengthening the global awareness of the encoder. We further devised Global Spatial Attention Module (GSAM) to integrate coarse- and fine-grain information for thymomas with irregular shapes for enhancing the semantic consistency between the encoder and decoder with CABs. We also develop an Adaptive Attention Fusion Module (AAFM) to adaptively aggregate different semantic-scale features in the decoder, preserving comprehensive details for accurate thymoma ***: The proposed MG-Net has been evaluated against several state-of-the-art models on the self-collected contrast-enhanced chest CT dataset and NIH Pancreas-CT dataset. Results suggest that all designed components are effective in improving the accuracy of MG-Net, and also indicate that our model has superior segmentation performance and generalization ability over existing models in different ***: Both the qualitative and quantita

关键词： Convolution

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Lightweight and efficient reduced graphene oxide modified by alumina composites for microwave absorption

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Ceramics International 2025年

作者： Wang, Xinda Zhang, Lu Xia, Qianshan Huang, Zhiyuan Li, Chengqi Cui, Peng Sun, Zhi Wang, Yan Xia, Yuliang School of Electrical and Electronic Engineering Harbin University of Science and Technology Harbin150080 China Faculty of Life Science and Medicine School of Life Science and Technology Harbin Institute of Technology Harbin150080 China Harbin150080 China Key Laboratory of Silicon-based Materials The Ministry of Education School of Materials Science and Engineering Fuyao University of Science and Technology Fuzhou350109 China

Electromagnetic radiation has become a potential hazard in daily life. To address this issue, the design and synthesis of materials for microwave absorption have become a prominent focus of research. However, many absorbers display poor microwave absorption properties due to inappropriate impedance matching and low attenuation constant. Alumina (Al2O3), as a good insulator, can enhance impedance matching of the material with high conductivity, to obtain superior microwave absorption performance. In this work, nanocomposites of alumina-modified reduced graphene oxide (Al2O3/RGO) are prepared by the hydrothermal method. The micro-structure and microwave absorption performance of these nanocomposites are meticulously analyzed. The maximum reflection loss value of the Al2O3/RGO composite reaches −46.7 dB (2.5 mm), and the effective absorption bandwidth achieves 3.81 GHz (9.84–13.65 GHz) at 2.2 mm. The Al2O3/RGO composite exhibits outstanding microwave absorption performance. This study can offer a promising way for the preparation of high-performance microwave absorbents. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Metamaterials

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Antifouling fusion-mediated diagnostic platform to detect viral DNA-positive extracellular vesicles for in situ blood-based liquid biopsy

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Biosensors and Bioelectronics 2025年 286卷 117568页

作者： Kong, Huimin Yi, Ke Zhu, Xiang Chen, Lifa Wang, Haixia Ju, Enguo Lv, Shixian Lao, Yeh-Hsing Shao, Dan Xie, Xi Cheng, Du Zhang, Yu Tao, Yu Li, Mingqiang Laboratory of Biomaterials and Translational Medicine Center for Nanomedicine The Third Affiliated Hospital Sun Yat-sen University Guangzhou510630 China Department of Infectious Diseases The Third Affiliated Hospital Sun Yat-sen University Guangzhou510630 China Department of Gynecology The Third Affiliated Hospital Sun Yat-sen University Guangzhou510630 China School of Materials Science and Engineering Peking University Beijing100871 China Department of Pharmaceutical Sciences University at Buffalo The State University of New York BuffaloNY14214 United States Institute of Life Sciences School of Medicine South China University of Technology Guangzhou510006 China State Key Laboratory of Optoelectronic Materials and Technologies Guangdong Province Key Laboratory of Display Material and Technology School of Electronics and Information Technology Sun Yat-sen University Guangzhou510006 China School of Material Science and Engineering Sun Yat-Sen University Guangzhou510275 China Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education Sun Yat-Sen University Guangzhou510275 China

In liquid biopsy, extracellular vesicles (EVs) have emerged as promising biomarkers due to their ability to carry protected nucleic acids. In particular, DNA enclosed within these vesicles shows great diagnostic potential for monitoring oncovirus-related disease progression. However, current methods still require labor-intensive procedures and bulk analysis. Additionally, in situ detection from blood is hindered by abundant serum proteins, interfering with the accuracy of diagnosis. To address these limitations, we developed an antifouling fusion-mediated CRISPR/Cas detector (AFFECTOR) as a user-friendly and efficient diagnostic platform for directly detecting EV-contained viral DNA in serum samples. Leveraging zwitterionic phosphatidylcholine to resist protein interference, the platform enables stable membrane fusion with intact EVs even in serum-containing environments, allowing highly specific and sensitive detection of internal DNA via the CRISPR/Cas12a sensing system, lasting just 2 h at 37 °C. In clinical samples from oncovirus-infected patients and healthy donors, the platform achieved one-step detection of viral DNA-positive EVs. Notably, viral DNA in circulating EVs was found for the first time to correlate with oncovirus infection stages. Overall, this platform provides a practical tool for diagnostic applications and expands the detection window in liquid biopsy. © 2025 Elsevier B.V.

关键词： Biopsy

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Microwave-induced thermal lesion detection via ultrasonic scatterer center frequency analysis with autoregressive cepstrum

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Critical Reviews in Biomedical Engineering 2020年第2期48卷 85-93页

作者： Sheng, Lei Rao, Wei Zhou, Zhuhuang Wu, Shuicai Ma, Guolin Key Laboratory of Cryogenics Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing China College of Life Science and Bioengineering Beijing University of Technology Beijing China Department of Radiology China-Japan Friendship Hospital Beijing China

We proposed a new method for microwave-induced thermal lesion detection using the autoregressive spectrum analysis of ultrasonic backscattered signals in this paper. Eighteen cases of microwave ablation experiments and twenty cases of water bath heating experiments were conducted. Ultrasonic radiofrequency data of normal and coagulated porcine liver tissues were collected through these two experiments. Then, autoregressive spectrum analysis was performed;the mean frequency of the dominant peak in the autoregressive spectrum was computed based on water bath experiments;and a method for recognizing normal and solidified tissues was obtained by comparing the difference of the dominant peak in the autoregressive spectrum. Two bandpass finite impulse response filters, whose passbands corresponded respectively to the dominant peak in the autoregressive spectrum of normal and coagulated tissues, were used to compute the power spectral integration for the microwave-induced experiments. Microwave-induced thermal lesions were detected based on the differences between the power spectral integrations from the two filters. Compared to the caliper-measured area, the power spectral integration detected area had an error of (10.25 ± 3.59). Experimental results indicated that the proposed method may be used in preliminary detection of microwave-induced thermal lesions. © 2020 by Begell House, Inc.

关键词： Tissue

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GDSL esterase/lipases OsGELP34 and OsGELP110/OsGELP115 are essential for rice pollen development

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Journal of Integrative Plant Biology 2020年第10期62卷 1574-1593页

作者： Huihui Zhang Menglong Wang Yiqi Li Wei Yan Zhenyi Chang Haoling Ni Zhufeng Chen Jianxin Wu Chunjue Xu Xing Wang Deng Xiaoyan Tang Guangdong Provincial Key Laboratory of Biotechnology for Plant Development School of Life SciencesSouth China Normal UniversityGuangzhou 510631China Shenzhen Institute of Molecular Crop Design Shenzhen 518107China School of Life Sciences Capital Normal UniversityBeijing 100048China School of Life Sciences Southern University of Science and TechnologyShenzhen 518055China

Pollen exine contains complex biopolymers of aliphatic lipids and *** development of pollen exine often leads to plant *** mechanisms regulating exine formation have been studied extensively but remain *** we report the analyses of three GDSL esterase/lipase protein genes,OsGELP34,OsGELP110,and OsGELP115,for rice exine ***34 was identified by cloning of a male sterile mutant ***34 encodes an endoplasmic reticulum protein and was mainly expressed in anthers during pollen exine ***34 mutant displayed abnormal exine and altered expression of a number of key genes required for pollen ***110 was previously identified as a gene differentially expressed in meiotic ***110 was most homologous to OsGELP115,and the two genes showed similar gene expression *** OsGELP110 and OsGELP115 proteins were localized in *** knockout of OsGELP110 and OsGELP115 did not affect the plant fertility,but double knockout of both genes altered the exine structure and rendered the plant male ***34 is distant from OsGELP110 and OsGELP115 in sequence,and osgelp34 and osgelp110/osgelp115 mutants were different in anther morphology despite both were male *** results suggested that OsGELP34 and OsGELP110/OsGELP115 catalyze different compounds for pollen exine development.

关键词： development. sterile render

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A comprehensive genetic variant reference for the Chinese population

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science Bulletin 2024年第24期69卷 3820-3825页

作者： Tao Jiang Hongzhe Guo Yadong Liu Gaoyang Li Zhe Cui Xinran Cui Yue Liu Yang Li Anqi Zhang Shuqi Cao Tianyi Zhao Liran Juan Weize Kong Ming Chen Dianming Liu Hongri Liu Yixiao Zhang Kelin Xu Yongjun Wang Meian He Jiancheng Guo Ming Lu Jun Chen Xing Zhao Genming Zhao Shaonong Dang Chao Chen Xiaojian Wu Qiyuan Qin Yixue Li Hongbing Shen Li Jin Bo Liu Xingdong Chen Yuhong Zhao Yadong Wang Faculty of Computing Harbin Institute of TechnologyHarbin 150001China Zhengzhou Research Institute Harbin Institute of TechnologyZhengzhou 450000China Harbin Nebula Bioinformatics Technology Company Harbin 150001China School of Medicine and Health Harbin Institute of TechnologyHarbin 150001China Department of Urology Surgery Key Laboratory of Precision Medical Research on Major Chronic DiseaseLiaoning ProvinceShengjing Hospital of China Medical UniversityShenyang 110004China Fudan University Taizhou Institute of Health Sciences Taizhou 200438China Department of Biostatistics School of Public HealthFudan UniversityShanghai 200433China Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijing 100070China China National Clinical Research Center for Neurological Diseases Beijing 100070China Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Henan Research Center for Genomic Sequencing and Translational Medicine Zhengzhou UniversityZhengzhou 450001China The Second Affiliated Hospital of Zhengzhou University Zhengzhou 450014China Clinical Epidemiology Unit Qilu Hospital of Shandong UniversityJinan 250012China Department of Epidemiology and Health Statistics School of Public HealthFujian Medical UniversityFuzhou 350001China West China School of Public Health and West China Fourth Hospital Sichuan UniversityChengdu 610041China School of Public Health Fudan UniversityShanghai 200433China School of Public Health Xi'an Jiaotong UniversityXi'an 710061China Center for Medical Genetics&Hunan Key Laboratory of Medical Genetics School of Life Sciencesand Department of PsychiatryThe Second Xiangya HospitalCentral South UniversityChangsha 410083China Department of Colorectal Surgery the Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhou 510655China Guangdong Provincial Key Laboratory of

Delineating the natural variations in the Chinese population is a crucial initial step towards the establishment of precision *** comprehensive characterization will not only elucidate the population’s unique genetic... 详细信息

关键词： population. population comprehensive

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