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Feedback of co-inoculation of lignocellulose degrading microorganisms on dissolved organic matter during rice straw composting: neutral balance of bacterial community

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International Journal of Biological Macromolecules 2025年 318卷

作者： Fengting Qu Xinzi Wen Jin Zhou suwen Lv Mengxue Fan Taha Ahmed Mohamed Caihong song Zimin Wei Tianjin Key Laboratory of Animal and Plant Resistance College of Life Science Tianjin Normal University Tianjin 300387 China College of Life Sciences Northeast Agricultural University Harbin 150030 China College of Life Sciences Liaocheng University Liaocheng 25200 China

This study explores the impact of co-inoculating various Bacillus species with Aspergillus fumigatus on the characteristics of dissolved organic matter (DOM) derived from composting. Four treatments were established: Control (CK), (2) Bacillus velezensis + Aspergillus fumigatus (AF), (3) Bacillus subtilis + Aspergillus fumigatus (BF), and (4) Bacillus tequilensis + Aspergillus fumigatus (DF). Among the treatments, BF exhibited the highest lignin degradation rate (58.27 %), representing a 12.78 % increase compared to CK. The DF treatment achieved the most significant reductions in cellulose (91.06 %) and hemicellulose (89.29 %), exceeding CK by 10.46 % and 7.13 %, respectively. During the DOM humification process, the humic acid-like component C3 showed the greatest variation in BF (19.46 %). Additionally, the R 2 values of microbial community assembly models were higher in AF (0.385), BF (0.398), and DF (0.396) than in CK (0.295), suggesting a shift toward neutral theory-driven community structure and improved microbial dissemination due to co-inoculation. The similar humification patterns in AF and DF were likely driven by increased microbial diversity linked to carbon metabolism genes. In contrast, the BF treatment exhibited a stronger correlation between microbial composition and diversity with carbon metabolism-related functional genes. This study reveals new insights into the microbial processes behind DOM humification during lignocellulose degradation.

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不同细胞病理学分级标准对超声内镜引导下细针穿刺诊断胰腺癌的影响

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临床肝胆病杂志 2021年第2期37卷 390-395页

作者：孟海轮李素文宋育林鲍峻峻刘衡梅俏安徽医科大学第一附属医院消化内科合肥230022

目的探讨不同细胞病理学分级标准对超声内镜引导下细针穿刺(EUS-FNA)诊断胰腺癌效能的影响。方法收集2011年5月—2019年3月于安徽医科大学第一附属医院行EUS-FNA检查的256例胰腺占位患者的临床资料和胰腺细胞病理学诊断结果,以手术病理... 详细信息

目的探讨不同细胞病理学分级标准对超声内镜引导下细针穿刺(EUS-FNA)诊断胰腺癌效能的影响。方法收集2011年5月—2019年3月于安徽医科大学第一附属医院行EUS-FNA检查的256例胰腺占位患者的临床资料和胰腺细胞病理学诊断结果,以手术病理结果和随访情况作为最终诊断,评估影响EUS-FNA诊断效能的相关因素。计量资料两组间比较采用独立样本t检验或Mann-Whitney U检验;计数资料两组间比较采用χ^2检验。应用受试者工作特征曲线(ROC曲线)评价不同细胞病理学分级标准对胰腺癌的诊断价值。结果剔除失访患者67例,共189例患者纳入研究,按巴氏细胞病理学标准,EUS-FNA诊断细胞病理学结果为异型细胞47例,疑癌细胞25例,癌细胞20例,未见肿瘤细胞97例。133例经术后病理和随访结果证实为胰腺癌,其中细胞病理学检查结果分别为:未见肿瘤细胞52例,异型细胞36例,疑癌细胞25例,癌细胞20例。EUS-FNA诊断胰腺癌的真阳性率为60.90%(81例),假阴性率为39.10%(52例);非胰腺癌56例,假阳性率为19.64%(11例),真阴性率为80.36%(45例)。EUS-FNA诊断胰腺癌的ROC曲线下面积为0.643(95%CI:0.561~0.724)。联合不同细胞病理学分级标准,分别以“发现异型细胞或可疑癌细胞或癌细胞均为阳性”“发现可疑癌细胞或癌细胞均为阳性”和“发现癌细胞为阳性”为诊断标准进行分析,结果显示,以“发现异型细胞或可疑癌细胞或癌细胞均为阳性”为诊断标准,EUS-FNA诊断胰腺癌的效能提高,敏感度为50.38%,特异度为75.00%。189例患者EUS-FNA术后并发症发生率为6.88%(13例),主要为高淀粉酶血症和腹痛。结论联合不同细胞病理学分级标准有助于提高EUS-FNA对胰腺癌的诊断效能。

关键词：胰腺肿瘤内镜超声引导细针穿刺诊断

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Large Oncosome-Loaded VAPA Promotes Bone-Tropic Metastasis of Hepatocellular Carcinoma Via Formation of Osteoclastic Pre-Metastatic Niche

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ADVANCED SCIENCE 2022年第31期9卷 e2201974页

作者： Zhang, Shuxia Liao, Xinyi Chen, suwen Qian, Wanying Li, Man Xu, Yingru Yang, Meisongzhu Li, Xincheng Mo, Shuang Tang, Miaoling Wu, Xingui Hu, Yameng Li, Ziwen Yu, Ruyuan Abudourousuli, Ainiwaerjiang song, Libing Li, Jun Guangzhou Med Univ Affiliated Guangzhou Women & Childrens Hosp Sch Basic Med Sci Key Lab Prot Modificat & DegradatProgram Canc Re Guangzhou 510623 Peoples R China Guangzhou Med Univ Affiliated Guangzhou Women & Childrens Hosp Sch Basic Med Sci Guangzhou Inst Oncol Guangzhou 510623 Peoples R China Sun Yat Sen Univ Zhongshan Sch Med Dept Biochem Guangzhou 510080 Peoples R China Sun Yat Sen Univ Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China Canc Ctr Guangzhou 510080 Peoples R China

Tumor-derived extracellular vesicles (EVs) function as critical mediators in selective modulation of the microenvironment of distant organs to generate a pre-metastatic niche that facilitates organotropic metastasis. Identifying the organ-specific molecular determinants of EVs can develop potential anti-metastatic therapeutic targets. In the current study, large oncosomes (LOs), atypically large cancer-derived EVs, are found to play a crucial role in facilitating bone-tropic metastasis of hepatocellular carcinoma (HCC) cells by engineering an osteoclastic pre-metastatic niche and establishing a vicious cycle between the osteoclasts and HCC cells. Transmembrane protein, VAMP-associated protein A (VAPA), is significantly enriched on LOs surface via direct interaction with LOs marker alpha V-integrin. VAPA-enriched LOs-induced pre-metastatic education transforms the bone into a fertile milieu, which supports the growth of metastatic HCC cells. Mechanically, LOs-delivered VAPA integrates to plasma membrane of osteoclasts and directly interacts with and activates neural Wiskott-Aldrich syndrome protein (N-WASP) via dual mechanisms, consequently resulting in ARP2/3 complex-mediated reorganization of actin cytoskeleton in osteoclasts and osteoclastogenesis. Importantly, treatment with N-WASP inhibitor 187-1-packaged LOs (LOs/187-1) dramatically abolishes the inductive effect of VAPA-enriched LOs on pre-metastatic niche formation and precludes HCC bone metastasis. These findings reveal a plausible mechanism for bone-tropism of HCC and can represent a potential strategy to prevent HCC bone metastasis.

关键词： bone metastasis hepatocellular carcinoma osteoclastic pre-metastatic niche VAMP-associated protein A (VAPA)

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Allosterically inhibited PFKL via prostaglandin E2 withholds glucose metabolism and ovarian cancer invasiveness

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CELL REPORTS 2023年第10期42卷 113246页

作者： Chen, Shengmiao Wu, Yiran Gao, Yang Wu, Chenxu Wang, Yuetong Hou, Chun Ren, Miao Zhang, Shuyuan Zhu, Qi Zhang, Jiali Yao, Yufeng Huang, Mei Qi, Yingchuan B. Liu, Xue-song Horng, Tiffany Wang, Haopeng Ye, Dan Zhu, Zhengjiang Zhao, suwen Fan, Gaofeng ShanghaiTech Univ Sch Life Sci & Technol Shanghai Peoples R China ShanghaiTech Univ iHuman Inst Shanghai Peoples R China Chinese Acad Sci Interdisciplinary Res Ctr Biol & Chem Shanghai Peoples R China Chinese Acad Sci Shanghai Inst Organ Chem Shanghai Peoples R China Fudan Univ Huadong Hosp Shanghai Key Lab Clin Geriatr Med Shanghai Peoples R China Minist Educ Key Lab Metab & Mol Med Shanghai Peoples R China Minist Sci & Technol Shanghai Key Lab Med Epigenet Int Colab Med Epigenet & Metab Shanghai Peoples R China Fudan Univ Inst Biomed Sci Shanghai Med Coll Mol & Cell Biol Lab Shanghai Peoples R China Fudan Univ Sch Life Sci Shanghai Peoples R China

Metastasis is the leading cause of high ovarian-cancer-related mortality worldwide. Three major processes constitute the whole metastatic cascade: invasion, intravasation, and extravasation. Tumor cells often reprogram their metabolism to gain advantages in proliferation and survival. However, whether and how those metabolic alterations contribute to the invasiveness of tumor cells has yet to be fully understood. Here we performed a genome-wide CRISPR-Cas9 screening to identify genes participating in tumor cell dissemination and revealed that PTGES3 acts as an invasion suppressor in ovarian cancer. Mechanistically, PTGES3 binds to phosphofructokinase, liver type (PFKL) and generates a local source of prostaglandin E2 (PGE2) to allosterically inhibit the enzymatic activity of PFKL. Repressed PFKL leads to downgraded glycolysis and the subsequent TCA cycle for glucose metabolism. However, ovarian cancer suppresses the expression of PTGES3 and disrupts the PTGES3-PGE2-PFKL inhibitory axis, leading to hyperactivation of glucose oxidation, eventually facilitating ovarian cancer cell motility and invasiveness.

关键词： CRISPR-Cas9 screening ovarian cancer invasion PTGES3 PFKL PGE2 EMT metastasis TET2 fumarate Research topic(s)CP: Cancer CP: Metabolism

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Multistage textured superhydrophobic polytetrafluoroethylene surface prepared by fabric embossing and thermal annealing

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MATERIALS LETTERS 2020年 268卷 127556-000页

作者： Gu, Dapeng song, Kefeng Chen, suwen Liu, Shouyao Yang, Bingchao Ma, Xiaoying Wang, Zibo Wang, Shuaibing Yanshan Univ Sch Mech Engn Qinhuangdao 066004 Hebei Peoples R China Yanshan Univ Aviat Key Lab Sci & Technol Gener Technol Self Lu Qinhuangdao 066004 Hebei Peoples R China Yanshan Univ Dept Environm & Chem Engn Qinhuangdao 066004 Hebei Peoples R China Qufu Normal Univ Sch Phys & Phys Engn Qufu 273165 Shandong Peoples R China CITIC Dicastal Co Ltd Engn Technol Inst Qinhuangdao 066003 Hebei Peoples R China

A novel method combined with fabric embossing (embossing with fabric template) and thermal annealing is proposed to prepare multistage textured superhydrophobic polytetrafluoroethylene (PTFE) surface. Multistage (four-stage) textures of microscale Y-grooves (approximate to 175 mu m), F-grooves (approximate to 10 mu m), warts (approximate to 3 mu m), and nanoscale dendrites (approximate to 380 nm) were obtained. The multistage textures endowed the PTFE surface with better superhydrophobicity, comparing with the two-stage textures with Y-grooves and F-grooves or the two-stage textures with warts and dendrites. Optimum superhydrophobicity is obtained at thermal annealing temperatures 345 degrees C and 360 degrees C. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Superhydrophobic Multistage Surfaces Texture PTFE

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Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System

Target-based Resource Allocation for Deep Learning Applicati...

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IEEE High Performance Extreme Computing Conference (HPEC)

作者： Zheng, Wenjia song, Yun Guo, Zihao Cui, Yongchen Gu, suwen Mao, Ying Cheng, Long Fordham Univ Comp & Informat Sci Dept Bronx NY 10458 USA Univ Coll Dublin Performance Engn Lab Dublin Ireland

ISBN: (纸本)9781728150208

The neural-network based deep learning is the key technology that enables many powerful applications, which include self-driving vehicles, computer vision, and natural language processing. Although various algorithms focus on different directions, generally, they mainly employ an iteration by iteration training and evaluating the process. Each iteration aims to find a parameter set, which minimizes a loss function defined by the learning model. When completing the training process, the global minimum is achieved with a set of optimized parameters. At this stage, deep learning applications can be shipped with a trained model to provide services. While deep learning applications are reshaping our daily life, obtaining a good learning model is an expensive task. Training deep learning models is, usually, time-consuming and requires lots of resources, e.g. CPU and GPU. In a multi-tenancy system, however, limited resources are shared by multiple clients that lead to severe resource contention. Therefore, a carefully designed resource management scheme is required to improve the overall performance. In this project, we propose a target based scheduling scheme named TRADL. In TRADL, developers have options to specify a twotier target. If the accuracy of the model reaches a target, it can be delivered to clients while the training is still going on to continue improving the quality. The experiments show that TRADL is able to significantly reduce the time cost, as much as 48.2%, for reaching the target.

关键词： Resource allocation

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Reciprocating sliding wear of hybrid PTFE/Kevlar fabric composites along different orientations

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RSC ADVANCES 2018年第37期8卷 20877-20883页

作者： Gu, Dapeng Zhang, Longxiao Chen, suwen song, Kefeng Liu, Shouyao Yanshan Univ Coll Mech Engn Qinhuangdao 066004 Peoples R China Yanshan Univ Aviat Key Lab Sci & Technol Gener Technol Selflub Qinhuangdao 066004 Peoples R China Yanshan Univ Dept Environm & Chem Engn Qinhuangdao 066004 Peoples R China

The dry reciprocating sliding properties of two weaves, reinforced twill 2/2 (RT) and basket weave 3/3 (BW), of hybrid PTFE/Kevlar fabric composites were investigated using a pin-on-flat configuration along the selected orientations of 0 degrees, 30 degrees, 45 degrees, 60 degrees and 90 degrees which were the reciprocating sliding directions of pin to weft yarn (PTFE). The morphologies of the worn surfaces of the composites were analyzed by means of Scanning Electron Microscopy (SEM). The PTFE transfer film and F element on the counterface were observed and analyzed respectively by SEM and Energy Dispersive X-ray Spectroscopy (EDS). The results showed that the orientations and weaves played an important role in the friction reduction and antiwear properties of PTFE/Kevlar fabric composites. Contrasting to BW PTFE/Kevlar fabric composites, RT PTFE/Kevlar fabric composites showed significant advantages in the antiwear performance along all the selected orientations. The main damage forms of PTFE/Kevlar fabric composites include fatigue wear and adhesive wear of the polymer matrix, and lifted, wrinkled and breakage of the fibers.

关键词： Scanning electron microscopy

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Circular RNA circIKBKB promotes breast cancer bone metastasis through sustaining NF-κB/bone remodeling factors signaling

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MOLECULAR CANCER 2021年第1期20卷 98-98页

作者： Xu, Yingru Zhang, Shuxia Liao, Xinyi Li, Man Chen, suwen Li, Xincheng Wu, Xingui Yang, Meisongzhu Tang, Miaoling Hu, Yameng Li, Ziwen Yu, Ruyuan Huang, Mudan song, Libing Li, Jun Guangzhou Med Univ Program Canc Res Key Lab Prot Modificat & Degradat Guangzhou 510623 Peoples R China Guangzhou Med Univ Guangzhou Inst Oncol Affiliated Guangzhou Women & Childrens Hosp Sch Basic Med Sci Guangzhou 510623 Peoples R China Sun Yat Sen Univ Zhongshan Sch Med Dept Biochem Guangzhou 510080 Peoples R China Sun Yat Sen Univ Ctr Canc State Key Lab Oncol South China Collaborat Innovat Ctr Canc Med Guangzhou 510080 Peoples R China

Background: Breast cancer (BC) has a marked tendency to spread to the bone, resulting in significant skeletal complications and mortality. Recently, circular RNAs (circRNAs) have been reported to contribute to cancer initiation and progression. However, the function and mechanism of circRNAs in BC bone metastasis (BC-BM) remain largely unknown. Methods: Bone-metastatic circRNAs were screened using circRNAs deep sequencing and validated using in situ hybridization in BC tissues with or without bone metastasis. The role of circIKBKB in inducing bone pre-metastatic niche formation and bone metastasis was determined using osteoclastogenesis, immunofluorescence and bone resorption pit assays. The mechanism underlying circIKBKB-mediated activation of NF-kappa B/bone remodeling factors signaling and EIF4A3-induced circIKBKB were investigated using RNA pull-down, luciferase reporter, chromatin isolation by RNA purification and enzyme-linked immunosorbent assays. Results: We identified that a novel circRNA, circIKBKB, was upregulated significantly in bone-metastatic BC tissues. Overexpressing circIKBKB enhanced the capability of BC cells to induce formation of bone pre-metastatic niche dramatically by promoting osteoclastogenesis in vivo and in vitro. Mechanically, circIKBKB activated NF-kappa B pathway via promoting IKK beta-mediated I kappa B alpha phosphorylation, inhibiting I kappa B alpha feedback loop and facilitating NF-kappa B to the promoters of multiple bone remodeling factors. Moreover, EIF4A3, acted acting as a pre-mRNA splicing factor, promoted cyclization of circIKBKB by directly binding to the circIKBKB flanking region. Importantly, treatment with inhibitor eIF4A3-IN-2 reduced circIKBKB expression and inhibited breast cancer bone metastasis effectively. Conclusion: We revealed a plausible mechanism for circIKBKB-mediated NF-kappa B hyperactivation in bone-metastatic BC, which might represent a potential strategy to treat breast cancer bone metastasis.

关键词： Bone metastasis Breast cancer circIKBKB Bone remodeling factor NF-kappa B

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Activation and Signaling Mechanism Revealed by Cannabinoid Receptor-Gi Complex Structures

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CELL 2020年第4期180卷 655-+页

作者： Hua, Tian Li, Xiaoting Wu, Lijie Iliopoulos-Tsoutsouvas, Christos Wang, Yuxia Wu, Meng Shen, Ling Brust, Christina A. Nikas, Spyros P. song, Feng song, Xiyong Yuan, Shuguang Sun, Qianqian Wu, Yiran Jiang, Shan Grim, Travis W. Benchama, Othman Stahl, Edward L. Zvonok, Nikolai Zhao, suwen Bohn, Laura M. Makriyannis, Alexandros Liu, Zhi-Jie ShanghaiTech Univ iHuman Inst Shanghai 201210 Peoples R China Northeastern Univ Ctr Drug Discovery Boston MA 02115 USA Northeastern Univ Dept Pharmaceut Sci Boston MA 02115 USA ShanghaiTech Univ Sch Life Sci & Technol Shanghai 201210 Peoples R China Scripps Res Dept Mol Med Jupiter FL 33458 USA Scripps Res Dept Neurosci Jupiter FL 33458 USA Dezhou Univ Sch Life Sci Dezhou 253023 Shandong Peoples R China Kunming Med Univ Inst Mol & Clin Med Kunming 650500 Yunnan Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Res Ctr Comp Aided Drug Discovery Shenzhen 518055 Peoples R China Northeastern Univ Dept Chem Boston MA 02115 USA Northeastern Univ Dept Biol Chem Boston MA 02115 USA

Human endocannabinoid systems modulate multiple physiological processes mainly through the activation of cannabinoid receptors CB1 and CB2. Their high sequence similarity, low agonist selectivity, and lack of activation and G protein-coupling knowledge have hindered the development of therapeutic applications. Importantly, missing structural information has significantly held back the development of promising CB2-selective agonist drugs for treating inflammatory and neuropathic pain without the psychoactivity of CB1. Here, we report the cryoelectron microscopy structures of synthetic cannabinoid-bound CB2 and CB1 in complex with G(i), as well as agonist-bound CB2 crystal structure. Of important scientific and therapeutic benefit, our results reveal a diverse activation and signaling mechanism, the structural basis of CB2-selective agonists design, and the unexpected interaction of cholesterol with CB1, suggestive of its endogenous allosteric modulating role.

关键词： G protein-coupled receptor cannabinoid receptors cryo-EM structures CB2-Gi crystal structure activation subtype selectivity allosteric modulation cholesterol

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《概率论与数理统计》课程在管理类专业教学方法实践

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高等数学研究 2021年第1期24卷 111-115页

作者：于淼吴素文王倩宋贽冯大光边振兴沈阳农业大学理学院沈阳110161 沈阳农业大学土地与环境学院沈阳110161

针对沈阳农业大学2018级土地管理专业学生,从翻转式教学、案例教学与专业数学建模三个方面对教学方法进行探索实践.将经典数据分析方法结合教学应用于专业实践.

关键词：概率论与数理统计教学方法翻转式教学案例教学数学建模

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