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4. DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins

Author

Xue, Zhangzhi, Zhu, Tiansheng, Zhang, Fangfei, Zhang, Cheng, Xiang, Nan, Qian, Liujia, Yi, Xiao, Sun, Yaoting, Liu, Wei, Cai, Xue, Wang, Linyan, Dai, Xizhe, Yue, Liang, Li, Lu, Pham, Thang V., Piersma, Sander R., Xiao, Qi, Luo, Meng, Lu, Cong, Zhu, Jiang, Zhao, Yongfu, Wang, Guangzhi, Xiao, Junhong, Liu, Tong, Liu, Zhiyu, He, Yi, Wu, Qijun, Gong, Tingting, Zhu, Jianqin, Zheng, Zhiguo, Ye, Juan, Li, Yan, Jimenez, Connie R., A, Jun, and Guo, Tiannan

Published
2023
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5. Application of Sustainable Development Theory in Furniture Industry Development—A Case Study of IKEA

Author

Li, Xiangyi, Lin, Yuanfang, Zhu, Tiansheng, Striełkowski, Wadim, Editor-in-Chief, Black, Jessica M., Series Editor, Butterfield, Stephen A., Series Editor, Chang, Chi-Cheng, Series Editor, Cheng, Jiuqing, Series Editor, Dumanig, Francisco Perlas, Series Editor, Al-Mabuk, Radhi, Series Editor, Scheper-Hughes, Nancy, Series Editor, Urban, Mathias, Series Editor, Webb, Stephen, Series Editor, Ali, Ghaffar, editor, Birkök, Mehmet Cüneyt, editor, and Khan, Intakhab Alam, editor

Published
2022
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6. Author Correction: Artificial intelligence defines protein-based classification of thyroid nodules

Author

Sun, Yaoting, Selvarajan, Sathiyamoorthy, Zang, Zelin, Liu, Wei, Zhu, Yi, Zhang, Hao, Chen, Wanyuan, Chen, Hao, Li, Lu, Cai, Xue, Gao, Huanhuan, Wu, Zhicheng, Zhao, Yongfu, Chen, Lirong, Teng, Xiaodong, Mantoo, Sangeeta, Lim, Tony Kiat-Hon, Hariraman, Bhuvaneswari, Yeow, Serene, Alkaff, Syed Muhammad Fahmy, Lee, Sze Sing, Ruan, Guan, Zhang, Qiushi, Zhu, Tiansheng, Hu, Yifan, Dong, Zhen, Ge, Weigang, Xiao, Qi, Wang, Weibin, Wang, Guangzhi, Xiao, Junhong, He, Yi, Wang, Zhihong, Sun, Wei, Qin, Yuan, Zhu, Jiang, Zheng, Xu, Wang, Linyan, Zheng, Xi, Xu, Kailun, Shao, Yingkuan, Zheng, Shu, Liu, Kexin, Aebersold, Ruedi, Guan, Haixia, Wu, Xiaohong, Luo, Dingcun, Tian, Wen, Li, Stan Ziqing, Kon, Oi Lian, Iyer, Narayanan Gopalakrishna, and Guo, Tiannan

Published
2022
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7. Artificial intelligence defines protein-based classification of thyroid nodules

Author

Sun, Yaoting, Selvarajan, Sathiyamoorthy, Zang, Zelin, Liu, Wei, Zhu, Yi, Zhang, Hao, Chen, Wanyuan, Chen, Hao, Li, Lu, Cai, Xue, Gao, Huanhuan, Wu, Zhicheng, Zhao, Yongfu, Chen, Lirong, Teng, Xiaodong, Mantoo, Sangeeta, Lim, Tony Kiat-Hon, Hariraman, Bhuvaneswari, Yeow, Serene, Alkaff, Syed Muhammad Fahmy, Lee, Sze Sing, Ruan, Guan, Zhang, Qiushi, Zhu, Tiansheng, Hu, Yifan, Dong, Zhen, Ge, Weigang, Xiao, Qi, Wang, Weibin, Wang, Guangzhi, Xiao, Junhong, He, Yi, Wang, Zhihong, Sun, Wei, Qin, Yuan, Zhu, Jiang, Zheng, Xu, Wang, Linyan, Zheng, Xi, Xu, Kailun, Shao, Yingkuan, Zheng, Shu, Liu, Kexin, Aebersold, Ruedi, Guan, Haixia, Wu, Xiaohong, Luo, Dingcun, Tian, Wen, Li, Stan Ziqing, Kon, Oi Lian, Iyer, Narayanan Gopalakrishna, and Guo, Tiannan

Published
2022
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10. Proteomic-based stratification of intermediate-risk prostate cancer patients

Author

Zhong, Qing; https://orcid.org/0000-0002-5340-301X, Sun, Rui, Aref, Adel T; https://orcid.org/0000-0003-3028-131X, Noor, Zainab, Anees, Asim, Zhu, Yi, Lucas, Natasha; https://orcid.org/0000-0002-7656-6866, Poulos, Rebecca C, Lyu, Mengge, Zhu, Tiansheng, Chen, Guo-Bo; https://orcid.org/0000-0001-5475-8237, Wang, Yingrui, Ding, Xuan, Rutishauser, Dorothea; https://orcid.org/0000-0003-2303-103X, Rupp, Niels J; https://orcid.org/0000-0002-7043-3456, Rueschoff, Jan H, Poyet, Cédric; https://orcid.org/0000-0002-3648-6941, Hermanns, Thomas, Fankhauser, Christian; https://orcid.org/0000-0002-4073-5488, Rodríguez Martínez, María; https://orcid.org/0000-0003-3766-4233, Shao, Wenguang, Buljan, Marija, Neumann, Janis Frederick, Beyer, Andreas; https://orcid.org/0000-0002-3891-2123, Hains, Peter G; https://orcid.org/0000-0002-7276-1760, Reddel, Roger R; https://orcid.org/0000-0002-6302-6107, Robinson, Phillip J, Aebersold, Ruedi; https://orcid.org/0000-0002-9576-3267, Guo, Tiannan; https://orcid.org/0000-0003-3869-7651, Wild, Peter J; https://orcid.org/0000-0002-1017-3744, Zhong, Qing; https://orcid.org/0000-0002-5340-301X, Sun, Rui, Aref, Adel T; https://orcid.org/0000-0003-3028-131X, Noor, Zainab, Anees, Asim, Zhu, Yi, Lucas, Natasha; https://orcid.org/0000-0002-7656-6866, Poulos, Rebecca C, Lyu, Mengge, Zhu, Tiansheng, Chen, Guo-Bo; https://orcid.org/0000-0001-5475-8237, Wang, Yingrui, Ding, Xuan, Rutishauser, Dorothea; https://orcid.org/0000-0003-2303-103X, Rupp, Niels J; https://orcid.org/0000-0002-7043-3456, Rueschoff, Jan H, Poyet, Cédric; https://orcid.org/0000-0002-3648-6941, Hermanns, Thomas, Fankhauser, Christian; https://orcid.org/0000-0002-4073-5488, Rodríguez Martínez, María; https://orcid.org/0000-0003-3766-4233, Shao, Wenguang, Buljan, Marija, Neumann, Janis Frederick, Beyer, Andreas; https://orcid.org/0000-0002-3891-2123, Hains, Peter G; https://orcid.org/0000-0002-7276-1760, Reddel, Roger R; https://orcid.org/0000-0002-6302-6107, Robinson, Phillip J, Aebersold, Ruedi; https://orcid.org/0000-0002-9576-3267, Guo, Tiannan; https://orcid.org/0000-0003-3869-7651, and Wild, Peter J; https://orcid.org/0000-0002-1017-3744

Abstract

Gleason grading is an important prognostic indicator for prostate adenocarcinoma and is crucial for patient treatment decisions. However, intermediate-risk patients diagnosed in the Gleason grade group (GG) 2 and GG3 can harbour either aggressive or non-aggressive disease, resulting in under- or overtreatment of a significant number of patients. Here, we performed proteomic, differential expression, machine learning, and survival analyses for 1,348 matched tumour and benign sample runs from 278 patients. Three proteins (F5, TMEM126B, and EARS2) were identified as candidate biomarkers in patients with biochemical recurrence. Multivariate Cox regression yielded 18 proteins, from which a risk score was constructed to dichotomize prostate cancer patients into low- and high-risk groups. This 18-protein signature is prognostic for the risk of biochemical recurrence and completely independent of the intermediate GG. Our results suggest that markers generated by computational proteomic profiling have the potential for clinical applications including integration into prostate cancer management.

Published
2024

11. Proteomic-based stratification of intermediate-risk prostate cancer patients

Author

Zhong, Qing, primary, Sun, Rui, additional, Aref, Adel T, additional, Noor, Zainab, additional, Anees, Asim, additional, Zhu, Yi, additional, Lucas, Natasha, additional, Poulos, Rebecca C, additional, Lyu, Mengge, additional, Zhu, Tiansheng, additional, Chen, Guo-Bo, additional, Wang, Yingrui, additional, Ding, Xuan, additional, Rutishauser, Dorothea, additional, Rupp, Niels J, additional, Rueschoff, Jan H, additional, Poyet, Cédric, additional, Hermanns, Thomas, additional, Fankhauser, Christian, additional, Rodríguez Martínez, María, additional, Shao, Wenguang, additional, Buljan, Marija, additional, Neumann, Janis Frederick, additional, Beyer, Andreas, additional, Hains, Peter G, additional, Reddel, Roger R, additional, Robinson, Phillip J, additional, Aebersold, Ruedi, additional, Guo, Tiannan, additional, and Wild, Peter J, additional

Published
2023
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14. DPHL v2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins

Author

Xue, Zhangzhi, primary, Zhu, Tiansheng, additional, Zhang, Fangfei, additional, Zhang, Cheng, additional, Xiang, Nan, additional, Qian, Liujia, additional, Yi, Xiao, additional, Sun, Yaoting, additional, Liu, Wei, additional, Cai, Xue, additional, Wang, Linyan, additional, Dai, Xizhe, additional, Yue, Liang, additional, Li, Lu, additional, Pham, Thang V., additional, Piersma, Sander R., additional, Xiao, Qi, additional, Luo, Meng, additional, Lu, Cong, additional, Zhu, Jiang, additional, Zhao, Yongfu, additional, Wang, Guangzhi, additional, Xiao, Junhong, additional, Liu, Tong, additional, Liu, Zhiyu, additional, He, Yi, additional, Wu, Qijun, additional, Gong, Tingting, additional, Zhu, Jianqin, additional, Zheng, Zhiguo, additional, Ye, Juan, additional, Li, Yan, additional, Jimenez, Connie R., additional, Jun, A, additional, and Guo, Tiannan, additional

Published
2023
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18. Proteomics profiling of colorectal cancer progression identifies PLOD2 as a potential therapeutic target

Author

Shao, Yingkuan, primary, Xu, Kailun, additional, Zheng, Xi, additional, Zhou, Biting, additional, Zhang, Xiuli, additional, Wang, Lin, additional, Sun, Yaoting, additional, Li, Dan, additional, Chen, Ting, additional, Wang, Jian, additional, Yu, Shaojun, additional, Sun, Lifeng, additional, Xu, Xiaoming, additional, Dai, Shaozhi, additional, Gao, Huanhuan, additional, Ruan, Guan, additional, Liu, Wei, additional, Cai, Xue, additional, Zhu, Tiansheng, additional, Qi, Lina, additional, Chen, Jiani, additional, Hu, Wangxiong, additional, Weng, Xingyue, additional, Zhu, Yi, additional, Xiang, Xueping, additional, Hu, Zhiyuan, additional, Li, Jinfan, additional, Chen, Lirong, additional, Shao, Jimin, additional, Zheng, Shu, additional, and Guo, Tiannan, additional

Published
2021
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21. ProteomeExpert: a Docker image-based web server for exploring, modeling, visualizing and mining quantitative proteomic datasets

Author

Zhu, Tiansheng, primary, Chen, Hao, additional, Yan, Xishan, additional, Wu, Zhicheng, additional, Zhou, Xiaoxu, additional, Xiao, Qi, additional, Ge, Weigang, additional, Zhang, Qiushi, additional, Xu, Chao, additional, Xu, Luang, additional, Ruan, Guan, additional, Xue, Zhangzhi, additional, Yuan, Chunhui, additional, Chen, Guo-Bo, additional, and Guo, Tiannan, additional

Published
2021
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23. PulseDIA: Data-Independent Acquisition Mass Spectrometry Using Multi-Injection Pulsed Gas-Phase Fractionation

Author

Cai, Xue, primary, Ge, Weigang, additional, Yi, Xiao, additional, Sun, Rui, additional, Zhu, Jiang, additional, Lu, Cong, additional, Sun, Ping, additional, Zhu, Tiansheng, additional, Ruan, Guan, additional, Yuan, Chunhui, additional, Liang, Shuang, additional, Lyu, Mengge, additional, Huang, Shiang, additional, Zhu, Yi, additional, and Guo, Tiannan, additional

Published
2020
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24. Protein Classifier for Thyroid Nodules Learned from Rapidly Acquired Proteotypes

Author

Sun, Yaoting, primary, Selvarajan, Sathiyamoorthy, additional, Zang, Zelin, additional, Liu, Wei, additional, Zhu, Yi, additional, Zhang, Hao, additional, Chen, Hao, additional, Cai, Xue, additional, Gao, Huanhuan, additional, Wu, Zhicheng, additional, Chen, Lirong, additional, Teng, Xiaodong, additional, Zhao, Yongfu, additional, Mantoo, Sangeeta, additional, Lim, Tony Kiat-Hon, additional, Hariraman, Bhuvaneswari, additional, Yeow, Serene, additional, bin Syed Abdillah, Syed Muhammad Fahmy, additional, Lee, Sze Sing, additional, Ruan, Guan, additional, Zhang, Qiushi, additional, Zhu, Tiansheng, additional, Wang, Weibin, additional, Wang, Guangzhi, additional, Xiao, Junhong, additional, He, Yi, additional, Wang, Zhihong, additional, Sun, Wei, additional, Qin, Yuan, additional, Xiao, Qi, additional, Zheng, Xu, additional, Wang, Linyan, additional, Zheng, Xi, additional, Xu, Kailun, additional, Shao, Yingkuan, additional, Liu, Kexin, additional, Zheng, Shu, additional, Aebersold, Ruedi, additional, Li, Stan Z., additional, Kon, Oi Lian, additional, Iyer, N. Gopalakrishna, additional, and Guo, Tiannan, additional

Published
2020
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25. A circulating extracellular vesicles‐based novel screening tool for colorectal cancer revealed by shotgun and data‐independent acquisition mass spectrometry

Author

Zheng, Xi, primary, Xu, Kailun, additional, Zhou, Biting, additional, Chen, Ting, additional, Huang, Yanqin, additional, Li, Qilong, additional, Wen, Fei, additional, Ge, Weiting, additional, Wang, Jian, additional, Yu, Shaojun, additional, Sun, Lifeng, additional, Zhu, Liang, additional, Liu, Wei, additional, Gao, Huanhuan, additional, Yue, Liang, additional, Cai, Xue, additional, Zhang, Qiushi, additional, Ruan, Guan, additional, Zhu, Tiansheng, additional, Wu, Zhicheng, additional, Zhu, Yi, additional, Shao, Yingkuan, additional, Guo, Tiannan, additional, and Zheng, Shu, additional

Published
2020
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26. DPHL: A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery

Author

Zhu, Tiansheng, primary, Zhu, Yi, additional, Xuan, Yue, additional, Gao, Huanhuan, additional, Cai, Xue, additional, Piersma, Sander R., additional, Pham, Thang V., additional, Schelfhorst, Tim, additional, Haas, Richard R.G.D., additional, Bijnsdorp, Irene V., additional, Sun, Rui, additional, Yue, Liang, additional, Ruan, Guan, additional, Zhang, Qiushi, additional, Hu, Mo, additional, Zhou, Yue, additional, Van Houdt, Winan J., additional, Le Large, Tessa Y.S., additional, Cloos, Jacqueline, additional, Wojtuszkiewicz, Anna, additional, Koppers-Lalic, Danijela, additional, Böttger, Franziska, additional, Scheepbouwer, Chantal, additional, Brakenhoff, Ruud H., additional, van Leenders, Geert J.L.H., additional, Ijzermans, Jan N.M., additional, Martens, John W.M., additional, Steenbergen, Renske D.M., additional, Grieken, Nicole C., additional, Selvarajan, Sathiyamoorthy, additional, Mantoo, Sangeeta, additional, Lee, Sze S., additional, Yeow, Serene J.Y., additional, Alkaff, Syed M.F., additional, Xiang, Nan, additional, Sun, Yaoting, additional, Yi, Xiao, additional, Dai, Shaozheng, additional, Liu, Wei, additional, Lu, Tian, additional, Wu, Zhicheng, additional, Liang, Xiao, additional, Wang, Man, additional, Shao, Yingkuan, additional, Zheng, Xi, additional, Xu, Kailun, additional, Yang, Qin, additional, Meng, Yifan, additional, Lu, Cong, additional, Zhu, Jiang, additional, Zheng, Jin'e, additional, Wang, Bo, additional, Lou, Sai, additional, Dai, Yibei, additional, Xu, Chao, additional, Yu, Chenhuan, additional, Ying, Huazhong, additional, Lim, Tony K., additional, Wu, Jianmin, additional, Gao, Xiaofei, additional, Luan, Zhongzhi, additional, Teng, Xiaodong, additional, Wu, Peng, additional, Huang, Shi'ang, additional, Tao, Zhihua, additional, Iyer, Narayanan G., additional, Zhou, Shuigeng, additional, Shao, Wenguang, additional, Lam, Henry, additional, Ma, Ding, additional, Ji, Jiafu, additional, Kon, Oi L., additional, Zheng, Shu, additional, Aebersold, Ruedi, additional, Jimenez, Connie R., additional, and Guo, Tiannan, additional

Published
2020
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27. Accelerated Protein Biomarker Discovery from FFPE Tissue Samples Using Single-Shot, Short Gradient Microflow SWATH MS

Author

Sun, Rui, primary, Hunter, Christie, additional, Chen, Chen, additional, Ge, Weigang, additional, Morrice, Nick, additional, Liang, Shuang, additional, Zhu, Tiansheng, additional, Yuan, Chunhui, additional, Ruan, Guan, additional, Zhang, Qiushi, additional, Cai, Xue, additional, Yu, Xiaoyan, additional, Chen, Lirong, additional, Dai, Shaozheng, additional, Luan, Zhongzhi, additional, Aebersold, Ruedi, additional, Zhu, Yi, additional, and Guo, Tiannan, additional

Published
2020
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28. DPHL: A pan-human protein mass spectrometry library for robust biomarker discovery

Author

Zhu, Tiansheng, primary, Zhu, Yi, additional, Xuan, Yue, additional, Gao, Huanhuan, additional, Cai, Xue, additional, Piersma, Sander R., additional, Pham, Thang V., additional, Schelfhorst, Tim, additional, Goeij De Haas, Richard R, additional, Bijnsdorp, Irene V., additional, Sun, Rui, additional, Yue, Liang, additional, Ruan, Guan, additional, Zhang, Qiushi, additional, Hu, Mo, additional, Zhou, Yue, additional, Van Houdt, Winan J., additional, Lelarge, T.Y.S, additional, Cloos, J., additional, Wojtuszkiewicz, Anna, additional, Koppers-Lalic, Danijela, additional, Böttger, Franziska, additional, Scheepbouwer, Chantal, additional, Brakenhoff, R.H, additional, van Leenders, G.J.L.H., additional, Ijzermans, Jan N.M., additional, Martens, J.W.M., additional, Steenbergen, R.D.M., additional, Grieken, N.C., additional, Selvarajan, Sathiyamoorthy, additional, Mantoo, Sangeeta, additional, Lee, Sze Sing, additional, Yi Yeow, Serene Jie, additional, Alkaff, Syed Muhammad Fahmy, additional, Xiang, Nan, additional, Sun, Yaoting, additional, Yi, Xiao, additional, Dai, Shaozheng, additional, Liu, Wei, additional, Lu, Tian, additional, Wu, Zhicheng, additional, Liang, Xiao, additional, Wang, Man, additional, Shao, Yingkuan, additional, Zheng, Xi, additional, Xu, Kailun, additional, Yang, Qin, additional, Meng, Yifan, additional, Lu, Cong, additional, Zhu, Jiang, additional, Zheng, Jin’e, additional, Wang, Bo, additional, Lou, Sai, additional, Dai, Yibei, additional, Xu, Chao, additional, Yu, Chenhuan, additional, Ying, Huazhong, additional, Lim, Tony Kiat-hon, additional, Wu, Jianmin, additional, Gao, Xiaofei, additional, Luan, Zhongzhi, additional, Teng, Xiaodong, additional, Wu, Peng, additional, Huang, Shi’ang, additional, Tao, Zhihua, additional, Iyer, N. Gopalakrishna, additional, Zhou, Shuigeng, additional, Shao, Wenguang, additional, Lam, Henry, additional, Ma, Ding, additional, Ji, Jiafu, additional, Kon, Oi Lian, additional, Zheng, Shu, additional, Aebersold, Ruedi, additional, Jimenez, Connie R., additional, and Guo, Tiannan, additional

Published
2020
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32. High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification

Author

Zhu, Yi, Weiss, Tobias, Zhang, Qiushi, Sun, Rui, Wang, Bo, Yi, Xiao, Wu, Zhicheng, Gao, Huanhuan, Cai, Xue, Ruan, Guan, Zhu, Tiansheng, Xu, Chao, Lou, Sai, Yu, Xiaoyan, Gillet, Ludovic, Blattmann, Peter, Saba, Karim, Fankhauser, Christian D., Schmid, Michael B., Rutishauser, Dorothea, Ljubicic, Jelena, Christiansen, Ailsa, Fritz, Christine, Rupp, Niels Jan Felix, Poyet, Cedric, Rushing, Elisabeth, Weller, Michael, Roth, Patrick, Haralambieva, Eugenia, Hofer, Silvia, Chen, Chen, Jochum, Wolfram, Gao, Xiaofei, Teng, Xiaodong, Chen, Lirong, Zhong, Qing, Wild, Peter Johannes, Aebersold, Ruedi, Guo, Tiannan, Zhu, Yi, Weiss, Tobias, Zhang, Qiushi, Sun, Rui, Wang, Bo, Yi, Xiao, Wu, Zhicheng, Gao, Huanhuan, Cai, Xue, Ruan, Guan, Zhu, Tiansheng, Xu, Chao, Lou, Sai, Yu, Xiaoyan, Gillet, Ludovic, Blattmann, Peter, Saba, Karim, Fankhauser, Christian D., Schmid, Michael B., Rutishauser, Dorothea, Ljubicic, Jelena, Christiansen, Ailsa, Fritz, Christine, Rupp, Niels Jan Felix, Poyet, Cedric, Rushing, Elisabeth, Weller, Michael, Roth, Patrick, Haralambieva, Eugenia, Hofer, Silvia, Chen, Chen, Jochum, Wolfram, Gao, Xiaofei, Teng, Xiaodong, Chen, Lirong, Zhong, Qing, Wild, Peter Johannes, Aebersold, Ruedi, and Guo, Tiannan

Abstract

Formalin‐fixed, paraffin‐embedded (FFPE ), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT )‐SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PC a) and diffuse large B‐cell lymphoma (DLBCL ) samples. We show that the proteome patterns of FFPE PC a tissue samples and their analogous fresh‐frozen (FF ) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PC a tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between 1 and 15 years in a biobank and show a high degree of the proteome pattern similarity between two types of histological regions in small FFPE samples, that is, punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of a certain degree of biological variations. Applying the method to two independent DLBCL cohorts, we identified myeloperoxidase, a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PC a and DLBCL have been discovered.

Published
2019

33. In-depth serum proteomics reveals biomarkers of psoriasis severity and response to traditional Chinese medicine

Author

UMC Utrecht, Infection & Immunity, MS Dermatologie/Allergologie, Xu, Meng, Deng, Jingwen, Xu, Kaikun, Zhu, Tiansheng, Han, Ling, Yan, Yuhong, Yao, Danni, Deng, Hao, Wang, Dan, Sun, Yaoting, Chang, Cheng, Zhang, Xiaomei, Dai, Jiayu, Yue, Liang, Zhang, Qiushi, Cai, Xue, Zhu, Yi, Duan, Hu, Liu, Yuan, Li, Dong, Zhu, Yunping, Radstake, Timothy R.D.J., Balak, Deepak M.W., Xu, Danke, Guo, Tiannan, Lu, Chuanjian, Yu, Xiaobo, UMC Utrecht, Infection & Immunity, MS Dermatologie/Allergologie, Xu, Meng, Deng, Jingwen, Xu, Kaikun, Zhu, Tiansheng, Han, Ling, Yan, Yuhong, Yao, Danni, Deng, Hao, Wang, Dan, Sun, Yaoting, Chang, Cheng, Zhang, Xiaomei, Dai, Jiayu, Yue, Liang, Zhang, Qiushi, Cai, Xue, Zhu, Yi, Duan, Hu, Liu, Yuan, Li, Dong, Zhu, Yunping, Radstake, Timothy R.D.J., Balak, Deepak M.W., Xu, Danke, Guo, Tiannan, Lu, Chuanjian, and Yu, Xiaobo

Published
2019

34. PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation

Author

Cai, Xue, primary, Ge, Weigang, additional, Yi, Xiao, additional, Sun, Rui, additional, Zhu, Jiang, additional, Lu, Cong, additional, Sun, Ping, additional, Zhu, Tiansheng, additional, Ruan, Guan, additional, Yuan, Chunhui, additional, Liang, Shuang, additional, Lyv, Mengge, additional, Huang, Shiang, additional, Zhu, Yi, additional, and Guo, Tiannan, additional

Published
2019
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35. High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification

Author

Zhu, Yi, primary, Weiss, Tobias, additional, Zhang, Qiushi, additional, Sun, Rui, additional, Wang, Bo, additional, Yi, Xiao, additional, Wu, Zhicheng, additional, Gao, Huanhuan, additional, Cai, Xue, additional, Ruan, Guan, additional, Zhu, Tiansheng, additional, Xu, Chao, additional, Lou, Sai, additional, Yu, Xiaoyan, additional, Gillet, Ludovic, additional, Blattmann, Peter, additional, Saba, Karim, additional, Fankhauser, Christian D., additional, Schmid, Michael B., additional, Rutishauser, Dorothea, additional, Ljubicic, Jelena, additional, Christiansen, Ailsa, additional, Fritz, Christine, additional, Rupp, Niels J., additional, Poyet, Cedric, additional, Rushing, Elisabeth, additional, Weller, Michael, additional, Roth, Patrick, additional, Haralambieva, Eugenia, additional, Hofer, Silvia, additional, Chen, Chen, additional, Jochum, Wolfram, additional, Gao, Xiaofei, additional, Teng, Xiaodong, additional, Chen, Lirong, additional, Zhong, Qing, additional, Wild, Peter J., additional, Aebersold, Ruedi, additional, and Guo, Tiannan, additional

Published
2019
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38. In-depth serum proteomics reveals biomarkers of psoriasis severity and response to traditional Chinese medicine

Author

Xu, Meng, primary, Deng, Jingwen, additional, Xu, Kaikun, additional, Zhu, Tiansheng, additional, Han, Ling, additional, Yan, Yuhong, additional, Yao, Danni, additional, Deng, Hao, additional, Wang, Dan, additional, Sun, Yaoting, additional, Chang, Cheng, additional, Zhang, Xiaomei, additional, Dai, Jiayu, additional, Yue, Liang, additional, Zhang, Qiushi, additional, Cai, Xue, additional, Zhu, Yi, additional, Duan, Hu, additional, Liu, Yuan, additional, Li, Dong, additional, Zhu, Yunping, additional, Radstake, Timothy R. D. J., additional, Balak, Deepak M.W., additional, Xu, Danke, additional, Guo, Tiannan, additional, Lu, Chuanjian, additional, and Yu, Xiaobo, additional

Published
2019
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41. Optimum design method of shunt release based on ansoft maxwell

Author

Liu Hongwu, Jia Shenli, Yin Nairui, Zhu Tiansheng, and Guan Ruiliang

Subjects
010302 applied physics, Electromagnet, Mathematical analysis, 02 engineering and technology, Limiting, 01 natural sciences, Finite element method, Finite element simulation, law.invention, 020303 mechanical engineering & transports, 0203 mechanical engineering, law, 0103 physical sciences, Current density, Shunt (electrical)
Abstract

This paper studied the optimization of the shunt release electromagnet based on Ansoft maxwell finite element simulation. The minimum size as the optimization target by taking into account the electromagnet force and temperature rise limit. In this study the electromagnetic force is calculated using finite element simulation, demand of temperature rise limit is satisfied by limiting the maximum current density. A random genetic algorithm is applied as optimization method.

Published
2017

42. The Genetic Structure of Turnip mosaic Virus Population Reveals the Rapid Expansion of a New Emergent Lineage in China

Author

Li, Xiangdong, Zhu, Tiansheng, Yin, Xiao, Zhang, Chengling, Chen, Jia, Tian, Yanping, and Liu, Jinliang

Subjects
food and beverages, plant_sciences
Abstract

Turnip mosaic virus (TuMV) is one of the most widespread and economically important virus infecting both crop and ornamental species of the family Brassicaceae. TuMV isolates can be classified to five phylogenetic lineages, basal-B, basal-BR, Asian-BR, world-B and Orchis. To understand the genetic structure of TuMV from radish in China, the 3′-terminal genome of 90 TuMV isolates were determined and analyzed with other Chinese isolates available. The results showed that the Chinese TuMV isolates from radish formed three groups: Asian-BR, basal-BR and world-B. More than half of these isolates (52.54%) were clustered to basal-BR group, and could be further divided into three sub-groups. The TuMV basal-BR isolates in the sub-groups I and II were genetically homologous with Japanese ones, while those in sub-group III formed a distinct lineage. Sub-populations of TuMV basal-BR II and III were new emergent and in a state of expansion. The Chinese TuMV radish populations were under negative selection. Gene flow between TuMV populations from Tai’an, Weifang and Changchun was frequent.

Published
2017

43. Identification of Protein Abundance Changes in Hepatocellular Carcinoma Tissues Using PCT–SWATH

Author

Zhu, Yi, primary, Zhu, Jiang, additional, Lu, Cong, additional, Zhang, Qiushi, additional, Xie, Wei, additional, Sun, Ping, additional, Dong, Xiaochuan, additional, Yue, Liang, additional, Sun, Yaoting, additional, Yi, Xiao, additional, Zhu, Tiansheng, additional, Ruan, Guan, additional, Aebersold, Ruedi, additional, Huang, Shi'ang, additional, and Guo, Tiannan, additional

Published
2018
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46. A solution on parameter fluctuation of integrated on‐board battery chargers based on recursive least square algorithm.

Author

Deng, Zhuofeng, Du, Guiping, Zhu, Tiansheng, and Lei, Yanxiong

Abstract

Summary Integrated on‐board battery chargers (IOBCs) are receiving increasing academic attention due to their low cost and low weight advantages. However, IOBCs suffer from periodic saturation, which causes periodic changes in inductance, which may lead to deterioration in control performance. Model‐free predictive control (MFPC) is a strongly robust control method that is suitable for solving the periodic saturation problem of IOBCs with pulsating magnetic fields. In this paper, a common single‐phase IOBC topology is used as an example, the causes of inductance fluctuations are analyzed, and finite element analysis (FEM) of motor inductance with different motor qualities is carried out. A recursive least squares (RLS)‐based solution method is proposed, and its convergence is analyzed. The feasibility of the proposed control scheme is experimentally verified. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Research on the effect of electric field in arc separating process

Author

Yin Nairui, Guan Ruiliang, Zhu Tiansheng, Liu Hongwu, and Jia Shenli

Subjects
Plasma arc welding, Materials science, Field (physics), business.industry, Electric field, Electrical engineering, Electric potential, Vacuum arc, Mechanics, business, Voltage drop, Voltage, Magnetic field
Abstract

In low-voltage apparatus, characteristics of the arc motion can be influenced by magnetic field, gas flowing, electrical field etc. Many studies have been done to investigate effect of magnetic and gas flow force to the arc movement. In this paper, a 2D MHD model is established to analyze arc separating process across the splitter plates. High resistance electrode is introduced to simulate voltage gradient between splitter plates because of voltage drop effect. Distributions of temperature and electric field intensity are analyzed in parallel electrodes model. Based on optimization of electric field, a gradually closing electrodes structure is designed and the corresponding simulation model is calculated. The results of simulation and experiment are consistent.

Published
2015

49. A numerical model of mechanical, thermoelectric and magnetic coupling fields for stationary electric contact

Author

Zhu Tiansheng, Guan Ruiliang, Jia Shenli, Yin Nairui, and Liu Hongwu

Subjects
Physics, Coupling, Classical mechanics, Magnetic energy, Hardware_GENERAL, Thermoelectric effect, Mechanics, Inductive coupling, Magnetic levitation, Electrical contacts, Interpolation, Magnetic field
Abstract

The proposal of this paper is to establish a numerical model to simulate mechanical, thermal, electric and magnetic behavior of the electrical contact. The coupling model of mechanical, thermal, electrical and magnetic field is uncoupled into two sub models: structural thermoelectric and magnetic models. By using ANSYS software the direct-coupling of structural and thermoelectric fields is solved. The ANSOFT software is applied to compute the magnetic repulsion force. Finally the interpolation method is used to combine above sub models to compute the simulation results with considering effect of magnetic repulsion force.

Published
2013

50. The linear-ordered collagen scaffold-BDNF complex significantly promotes functional recovery after completely transected spinal cord injury in canine

Author

Han, Sufang, primary, Wang, Bin, additional, Jin, Wei, additional, Xiao, Zhifeng, additional, Li, Xing, additional, Ding, Wenyong, additional, Kapur, Meghan, additional, Chen, Bing, additional, Yuan, Baoyu, additional, Zhu, Tiansheng, additional, Wang, Handong, additional, Wang, Jing, additional, Dong, Qun, additional, Liang, Weibang, additional, and Dai, Jianwu, additional

Published
2015
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