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160 results on '"Cheng, Xiawei"'

1. Reliability Improvement Algorithm of Service Function Chain Based on Resource Bearing Characteristics

Author

Wang, Qi, Zhang, Weijian, Di, Li, Shen, Jing, Zhao, Yujing, He, Kui, Cheng, Xiawei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Liu, Qi, editor, Liu, Xiaodong, editor, Cheng, Jieren, editor, Shen, Tao, editor, and Tian, Yuan, editor

Published
2022
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3. Palmitoylation of NOD1 and NOD2 is required for bacterial sensing

Author

Lu, Yan, Zheng, Yuping, Coyaud, Étienne, Zhang, Chao, Selvabaskaran, Apiraam, Yu, Yuyun, Xu, Zizhen, Weng, Xialian, Chen, Ji Shun, Meng, Ying, Warner, Neil, Cheng, Xiawei, Liu, Yangyang, Yao, Bingpeng, Hu, Hu, Xia, Zonping, Muise, Aleixo M., Klip, Amira, Brumell, John H., Girardin, Stephen E., Ying, Songmin, Fairn, Gregory D., Raught, Brian, Sun, Qiming, and Neculai, Dante

Published
2019

8. Spatial Outlier Information Hiding Algorithm Based on Complex Transformation

Author

Shou, Zhaoyu, Liu, Akang, Li, Simin, Cheng, Xiawei, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wang, Guojun, editor, Atiquzzaman, Mohammed, editor, Yan, Zheng, editor, and Choo, Kim-Kwang Raymond, editor

Published
2017
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16. A novel in‐frame deletion in KIF5C gene causes infantile onset epilepsy and psychomotor retardation.

Author

Banerjee, Santasree, Zhao, Qiang, Wang, Bo, Qin, Jiale, Yuan, Xin, Lou, Ziwei, Zheng, Weizeng, Li, Huanguo, Wang, Xiaojun, Cheng, Xiawei, Zhu, Yu, Lin, Fan, Yang, Fan, Xu, Junyu, Munshi, Anjana, Das, Parimal, Zhou, Yuanfeng, Mandal, Kausik, Wang, Yi, and Ayub, Muhammad

Subjects
TEMPORAL lobe epilepsy, EPILEPSY, DELETION mutation, MOLECULAR motor proteins, CEREBRAL atrophy, DIAGNOSIS, GAIN-of-function mutations
Abstract

Motor proteins, encoded by Kinesin superfamily (KIF) genes, are critical for brain development and plasticity. Increasing studies reported KIF's roles in neurodevelopmental disorders. Here, a 6 years and 3 months‐old Chinese boy with markedly symptomatic epilepsy, intellectual disability, brain atrophy, and psychomotor retardation was investigated. His parents and younger sister were phenotypically normal and had no disease‐related family history. Whole exome sequencing identified a novel heterozygous in‐frame deletion (c.265_267delTCA) in exon 3 of the KIF5C in the proband, resulting in the removal of evolutionarily highly conserved p.Ser90, located in its ATP‐binding domain. Sanger sequencing excluded the proband's parents and family members from harboring this variant. The activity of ATP hydrolysis in vitro was significantly reduced as predicted. Immunofluorescence studies showed wild‐type KIF5C was widely distributed throughout the cytoplasm, while mutant KIF5C was colocalized with microtubules. The live‐cell imaging of the cargo‐trafficking assay revealed that mutant KIF5C lost the peroxisome‐transporting ability. Drosophila models also confirmed p.Ser90del's essential role in nervous system development. This study emphasized the importance of the KIF5C gene in intracellular cargo‐transport as well as germline variants that lead to neurodevelopmental disorders and might enable clinicians for timely and accurate diagnosis and disease management in the future. [ABSTRACT FROM AUTHOR]

Published
2024
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18. ULK1-mediated metabolic reprogramming regulates Vps34 lipid kinase activity by its lactylation

Author

Jia, Mengshu, primary, Yue, Xiao, additional, Sun, Weixia, additional, Zhou, Qianjun, additional, Chang, Cheng, additional, Gong, Weihua, additional, Feng, Jian, additional, Li, Xie, additional, Zhan, Ruonan, additional, Mo, Kemin, additional, Zhang, Lijuan, additional, Qian, Yajie, additional, Sun, Yuying, additional, Wang, Aoxue, additional, Zou, Yejun, additional, Chen, Weicai, additional, Li, Yan, additional, Huang, Li, additional, Yang, Yi, additional, Zhao, Yuzheng, additional, and Cheng, Xiawei, additional

Published
2023
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22. Fault Diagnosis of Oil-Immersed Transformers Based on the Improved Neighborhood Rough Set and Deep Belief Network.

Author

Miao, Xiaoyang, Quan, Hongda, Cheng, Xiawei, Xu, Mingming, Huang, Qingjiang, Liang, Cong, and Li, Juntao

Subjects
FAULT diagnosis, ROUGH sets, GAS analysis, NEIGHBORHOODS, GEOTHERMAL ecology, SYSTEM safety
Abstract

As one of the essential components in power systems, transformers play a pivotal role in the transmission and distribution of renewable energy generation. Accurate diagnosis of transformer fault types is crucial for maintaining the safety of power systems. The current focus in research lies in transformer fault diagnosis methods based on Dissolved Gas Analysis (DGA). Traditional diagnostic methods directly utilize the five fault gases from DGA data as model input features, but this approach does not comprehensively reflect all potential fault types in transformers. In this paper, a non-coding ratio method was employed to generate 35 fault gas ratios based on the five fault gases, subsequently refined through correlation analysis to eliminate redundant feature variables, resulting in 15 significantly representative fault gas ratios. To further streamline the feature variables and remove non-contributing elements to fault diagnosis, an improved Neighborhood Rough Set (INRS) algorithm was introduced, leveraging symmetrical uncertainty measurement. By resorting to the proposed INRS, eight most representative fault gas ratios were selected as input variables for constructing a Deep Belief Network (DBN) diagnostic model. Experimental results on Dissolved Gas Analysis (DGA) data confirmed the effectiveness and accuracy of the proposed method. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Lighting up Pyruvate Metabolism in Saccharomyces cerevisiaeby a Genetically Encoded Fluorescent Biosensor

Author

Yang, Lu, Jia, Chaochao, Xie, Bin, Chen, Minjiao, Cheng, Xiawei, Chen, Xiaoqiang, Dong, Weiliang, Zhou, Jie, and Jiang, Min

Abstract

Monitoring intracellular pyruvate is useful for the exploration of fundamental metabolism and for guiding the construction of yeast cell factories for chemical production. Here, we employed a genetically encoded fluorescent Pyronic biosensor to light up the pyruvate metabolic state in the cytoplasm, nucleus, and mitochondria of Saccharomyces cerevisiaeBY4741. A strong correlation was observed between the pyruvate fluctuation in mitochondria and cytoplasm when exposed to different metabolites. Further metabolic analysis of pyruvate uptake and glycolytic dynamics showed that glucose and fructose dose-dependently activated cytoplasmic pyruvate levels more effectively than direct exposure to pyruvate. Meanwhile, the Pyronic biosensor could visually distinguish phenotypes of the wild-type S. cerevisiaeBY4741 and the pyruvate-hyperproducing S. cerevisiaeTAM at a single-cell resolution, having the potential for high-throughput screening. Overall, Pyronic biosensors targeting different suborganelles contribute to mapping and studying the central carbon metabolism in-depth and guide the design and construction of yeast cell factories.

Published
2024
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30. ULK1-Mediated Metabolic Reprogramming Regulates Vps34 Lipid Kinase Activity by Its Lactylation

Author

Yue, Xiao, primary, Zhou, Qianjun, additional, Jia, Mengshu, additional, Chang, Cheng, additional, Gong, Weihua, additional, Feng, Jian, additional, Sun, Weixia, additional, Li, Xie, additional, Wang, Aoxue, additional, Zou, Yejun, additional, Zhang, Lijuan, additional, Chen, Weicai, additional, Li, Yan, additional, Qian, Yajie, additional, Dong, Wenping, additional, Huang, Li, additional, Zhan, Ruonan, additional, Yang, Yi, additional, Zhao, Yuzheng, additional, and Cheng, Xiawei, additional

Published
2022
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32. Bromo‐ and extraterminal domain protein inhibition improves immunotherapy efficacy in hepatocellular carcinoma

Author

Liu, Chen, primary, Miao, Xiaolong, additional, Wang, Yao, additional, Wen, Liang, additional, Cheng, Xiawei, additional, Kong, Deqiang, additional, Zhao, Pengwei, additional, Song, Dandan, additional, Wang, Xinyi, additional, Ding, Xianfeng, additional, Xia, Hongguang, additional, Wang, Weilin, additional, Sun, Qiming, additional, and Gong, Weihua, additional

Published
2020
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36. Salmonella VNP20009-mediated RNA interference of ABCB5 moderated chemoresistance of melanoma stem cell and suppressed tumor growth more potently

Author

Cheng Xiawei, Yuqiang Zhou, Xiaoxin Zhang, Zi-Chun Hua, Yueyang Lai, and Wenmin Cao

Subjects
0301 basic medicine, Small interfering RNA, ATP Binding Cassette Transporter, Subfamily B, Population, Melanoma, Experimental, Apoptosis, Pharmacology, Biology, Mice, 03 medical and health sciences, 0302 clinical medicine, Cancer stem cell, Tumor Cells, Cultured, medicine, Salmonella VNP20009, Animals, RNA, Small Interfering, education, Antineoplastic Agents, Alkylating, Cyclophosphamide, Cell Proliferation, antitumor, bacterial therapy, education.field_of_study, drug resistance, tumor initiating cells, Melanoma, ABCB5, medicine.disease, Gene Expression Regulation, Neoplastic, Mice, Inbred C57BL, Bacterial vaccine, 030104 developmental biology, Oncology, Drug Resistance, Neoplasm, 030220 oncology & carcinogenesis, Bacterial Vaccines, ATP-Binding Cassette Transporters, Drug Therapy, Combination, Stem cell, Research Paper
Abstract

Drug resistance remains an obstacle hindering the success of chemotherapy. Cancer stem cells (CSCs) have been recently found to confer resistance to chemotherapy. Therefore functional markers of CSCs should be discovered and specific therapies targeting these cells should be developed. In our investigation, a small population of B16F10 cells which was positive for ATP-binding cassette sub-family B member 5 (ABCB5) was isolated. This population displayed characteristics similar to those of CSCs and ABCB5 was identified to confer tumor growth and drug resistance in B16F10 cell line. Although targeting ABCB5 by small short interfering RNA delivered by VNP20009 failed to inhibit tumor growth, the combined treatment of VNP-shABCB5 and chemotherapy can act synergistically to delay tumor growth and enhance survival time in a primary B16F10 mice model. Results suggest that the combined treatment of VNP-shABCB5 and chemotherapy can improve the efficacy of chemotherapeutic drugs. Therefore, this combination therapy is of potential significance for melanoma treatment.

Published
2016
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42. A Salmonella Typhimurium mutant strain capable of RNAi delivery: higher tumor-targeting and lower toxicity

Author

Yuqiang Zhou, Cheng Xiawei, Zhang Xiaoxin, Chunmei Zhang, and Zi-Chun Hua

Subjects
Male, Salmonella typhimurium, Cancer Research, Small interfering RNA, Genetic Vectors, Green Fluorescent Proteins, Mammary Neoplasms, Animal, Biology, medicine.disease_cause, Microbiology, Green fluorescent protein, Cell Line, Plasmid, RNA interference, Cell Line, Tumor, medicine, Animals, RNA, Small Interfering, Pharmacology, Reporter gene, Mutation, Mice, Inbred BALB C, Genetic Therapy, biochemical phenomena, metabolism, and nutrition, Bacterial vaccine, Oncology, Liver, Cell culture, Bacterial Vaccines, Molecular Medicine, bacteria, Female, Spleen, Research Paper
Abstract

Bacteria are highly versatile and useful tools that could deliver short interfering RNA. In this study, a phoP/phoQ double-deleted Salmonella Typhimurium named VNP(PhoP/Q(-)) based on the genetic background of VNP20009. The biological safety and function of VNP(PhoP/Q(-)) were also analyzed. Our study revealed the following results: (1) VNP(PhoP/Q(-)) exhibited lower titers in tumor-free livers and spleens than VNP20009, (2) The survival of VNP(PhoP/Q(-)) in macrophages and 4T1 tumor cells was significantly reduced compared with that of VNP20009, (3) The tumor-targeting ability of VNP(PhoP/Q(-)) was significantly enhanced compared with that of VNP20009, and the anticancer effects of VNP(pPhoP/Q(-)) and VNP20009 on tumor-bearing mice were similar, (4) VNP(PhoP/Q(-)) could release an shRNA-expressing plasmid and express the EGFP reporter gene in tumor tissue. Therefore, VNP(PhoP/Q(-)) exhibited a better safety level in tumor-free mice and elicited an anti-tumor effect on tumor-bearing mice. Moreover, VNP(PhoP/Q(-)) could release an shRNA-expressing plasmid into the cytoplasm of host cells to silence targeted genes.

Published
2014

46. Experimental and numerical study on the effect of ZDDP films on sticking during hot rolling of ferritic stainless steel strip

Author

Hao, Liang, Jiang, Zhengyi, Wei, Dongbin, Gong, Dianyao, Cheng, Xiawei, Zhao, Jingwei, Luo, Suzhen, Jiang, Laizhu, Hao, Liang, Jiang, Zhengyi, Wei, Dongbin, Gong, Dianyao, Cheng, Xiawei, Zhao, Jingwei, Luo, Suzhen, and Jiang, Laizhu

Abstract

The aim of this study is to investigate the effect of zinc dialkyl dithio phosphate (ZDDP) films on sticking during hot rolling of a ferritic stainless steel strip. The surface characterization and crack propagation of the oxide scale are very important for understanding the mechanism of the sticking. The high-temperature oxidation of one typical ferritic stainless was conducted at 1373 K (1100 °C) for understanding its microstructure and surface morphology. Hot-rolling tests of a ferritic stainless steel strip show that no obvious cracks among the oxide scale were observed with the application of ZDDP. A finite element method model was constructed with taking into consideration different crack size ratios among the oxide scale, surface profile, and ZDDP films. The simulation results show that the width of the crack tends to be reduced with the introduction of ZDDP films, which is beneficial for improving sticking.

Published
2016

50. Effect of extreme pressure additives on the deformation behavior of oxide scale during the hot rolling of ferritic stainless steel strips

Author

Hao, Liang, Jiang, Zhengyi, Cheng, Xiawei, Zhao, Jingwei, Wei, Dongbin, Jiang, Laizhu, Luo, Suzhen, Luo, Ming, Ma, Li, Hao, Liang, Jiang, Zhengyi, Cheng, Xiawei, Zhao, Jingwei, Wei, Dongbin, Jiang, Laizhu, Luo, Suzhen, Luo, Ming, and Ma, Li

Abstract

High-speed steel (HSS) materials are universally used as work rolls for the hot rolling of stainless steels. Their use has increased the output of the rolling mill and decreased roll material consumption and grinding. Sticking defects often occur, however, during the hot rolling process. In this article, extreme pressure (EP) additives were dropped on the HSS samples at high temperature. Zinc dialkyl dithiophosphate (ZDDP) was chosen as the most effective EP additive by scratch tests on the HSS samples. In order to determine the optimum proportion of ZDDP in the lubricant, two reduction rates were tested on a Hille 100 experimental rolling mill by hot rolling ferritic stainless steel 445J1M at five different concentrations of ZDDP. The mechanism of EP additive action during the hot rolling process was also investigated. By analyzing the deformation behavior of the oxide scale of samples after hot rolling using different proportions of ZDDP, it was found that 20% ZDDP in the lubricant is the preferred concentration for industrial application.

Published
2015

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