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董继扬

系别:电子科学系

职称:教授、博导

邮箱:jydong@xmu.edu.cn

联系方式:0592-2185696

办公地点:厦门大学翔安校区文宣楼B409-6

个人简历:


2011/08 - 至今,厦门大学,电子科学系,教授

2018/01 – 2019/01,美国华盛顿大学,医开元956棋app下载,访问学者,

2011/08 - 2011/11,香港浸会大学,化学系,高级访问学者

2009/11 - 2010/11,英国剑桥大学,生物化学系,访问学者

2004/01 - 2011/08,厦门大学,物理学系,副教授

2001/10 - 2004/01,西安电子科技大学,电子工程研究所,博士后


学历:

福建师范大学  理学学士,物理学专业

福建师范大学  理学硕士,光学专业

厦门大学      理学博士,凝聚态物理

 

研究方向:

机器学习、空间组学、计算质谱、质谱成像、分子网络建模、健康大数据

 

主讲课程:

数字图像处理(本科生课)

数字信号与图像处理实验(本科生课)

Matlab程序设计(本科生课)

高维数据分析与建模(研究生课)

机器学习(研究生课)

 

课题项目:

多尺度代谢互作网络分析新方法应用于阿尔兹海默病空间代谢组学研究, 国家自然科学基金(面上)项目,2024.01 - 2027.12,主持

基于信息熵的网络分析新方法及其在肝细胞肝癌代谢组学研究中的应用,国家自然科学基金(面上)项目,2019.01-2022.12,主持

基于NAMPT/SIRT1 对脂代谢的调控作用研究清络饮从湿论治热痹的原理,国家自然科学基金(面上)项目,2020.01-2023.12,共同主持

代谢组学数据融合与建模新方法及在糖尿病肾病研究中的应用,国家自然科学基金(面上)项目,2014.01-2017.12,主持

液相和固相原位电位可控电化学-核磁共振联用系统的研制,国家自然科学基金(重大仪器专项)项目,2014.01-2017.12,参与

基于磁共振的代谢组成像新方法及其在活体组织中的应用,国家自然科学基金(青年)项目,2013.01-2015.12,参与


基于多尺度空间代谢组学的阿尔兹海默病早期诊断及分子机制研究,福建省社会发展引导性项目,2022.03 - 2025.02,主持

核磁共振代谢轮廓分析新技术及在妊娠期糖尿病研究中的应用,福建省社会发展引导性项目,2015.04-2018.03,主持

核磁共振代谢组学新方法的研究及在糖尿病肾病早期诊断中的应用,福建省自然科学基金(面上)项目,2009.03-2011.09,主持

物理智能磁共振成像及应用,福建省自然科学基金(重点)项目. 2023.08 -2026.08,参与

基于代谢表型的网络分析新方法及其在穴配伍效应评价中的应用. 福建省自然科学基金(面上)项目. 2020.11 - 2023.10, 参与

 

代表作(2020年以来):

Caixia Yuan#, Ying Jin#, Hairong Zhang, Simian Chen, Jiajin Yi, Qiang Xie*, Jiyang Dong*, Caisheng Wu*. An efficient and affordable strategy to empower nontargeted metabolomics combining three-dimensional combinatorial derivatization with MS-TDF software. Analytical Chemistry, 2024, 96 (19): 7634-7642(1top)

Mudassir Shah, Lei Guo, Xiangnan Xu, Lingli Deng, Keyi Lu, Jiyang Dong, Chao Zhao*, Jingjing Xu*. eLIMS: Ensemble Learning-Based Spatial Segmentation of Mass Spectrometry Imaging to Explore Metabolic Heterogeneity. Journal of Proteome Research. 2024, 23. (2)

Shiting Qian, Qinqin Yang, Congbo Cai, Jiyang Dong, Shuhui Cai*. A study of spatial-temporal characteristics of autism fMRI by combining hidden Markov model and dynamic graph theory. Brain Science. 2024 (3)

Lei Guo#, Chengyi Xie#, Rui Miao, Jingjing Xu, Xiangnan Xu, Jiacheng Fang, Xiaoxiao Wang, Wuping Liu, Xiangwen Liao*, Jianing Wang*, Jiyang Dong*, Zongwei Cai*. DeepION: a deep learning-based low-dimensional representation model of ion images for mass spectrometry imaging. Analytical Chemistry, 2024, 96 (9): 3829–3836. (1top)

Xiaodie Chen, Jiayu Li, Dicheng Chen, Zhangren Tu, Meijin Lin, Taishan Kang, Jianzhong Lin, Tao Gong, Liuhong Zhu, Jianjun Zhou, Lin Ou-yang, Jiefeng Guo, Jiyang Dong, Di Guo, Xiaobo Qu*. CloudBrain-MRS: An Intelligent Cloud Computing Platform for in vivo Magnetic Resonance Spectroscopy Preprocessing, Quantification, and Analysis. Journal of Magnetic Resonance. 2024, 358, 107601 (3)

Xingxing Liu, Yifan Wu, Lei Guo, Xiaoyu Wang, Changkai Shan, Yaru Liu, Hanxiang An, Xinmei Kang, Rong Ding, Zongwei Cai, Jiyang Dong*, Yufen Zhao*, Xiang Gao*. Comprehensive Profiling of Amine-Containing Metabolite Isomers with Chiral Phosphorus Reagents. Analytical Chemistry, 2023, 95 (46):16830–16839 (1top)

Biao Qu, Xiaoyuan Li, Min Xiao, Runhan Chen, Hejuan Tan, Hongwei Sun, Rushuai Li, Jingjing Xu, Jiyang Dong, Gaofeng Zheng, Shuyue Ai*, Xiaobo Qu*. Comparative study of bilateral putamen for patients with severe Parkinson’s disease detected by 1H magnetic resonance spectroscopy. Quantitative Imaging in Medicine and Surgery. 2023. doi: 10.21037/qims-23-231 (3)

Xue Bai#, Caixia Yuan#, Jiyang Dong, Xiaojun Jiang, Xiaoyu Qian, Shaogui He, Xiaodan Guo, Tie Cai*, Dunming Xu*, Caisheng Wu*. Rapid and accurate identification of adulterated ingredients in lotus root powder based on liquid chromatography-high resolution mass spectrometry and MS-IDF. Journal of Food Composition and Analysis, 2023, 123:105576. (2)

Genjin Lin, Liheng Dong, Kian-Kai Cheng, Xiangnan Xu, Yongpei Wang, Lingli Deng*, Daniel Raftery, Jiyang Dong*. Differential Correlations Informed Metabolite Set Enrichment Analysis to Decipher Metabolic Heterogeneity of Disease. Analytical Chemistry, 2023, 95 (33): 12505-12513 (1top)

Lei Guo, Jinyu Zhu, Keqi Wang, Kian-Kai Cheng, Jingjing Xu, Liheng Dong, Xiangnan Xu, Can Chen, Mudassir Shah, Zhangxiao Peng, Jianing Wang, Zongwei Cai, Jiyang Dong*. Multimodal Image Fusion Offer Better Spatial Resolution for Mass Spectrometry Imaging. Analytical Chemistry, 2023, 95(25): 9714–9721 (1top)

Congcong Guo#, Jiyang Dong#, lingli Deng, Kian-Kai Cheng, Yue Xu, Haowen Zhu, Anjun Deng, Qinhai Lin*, Yinghong Wang*. Application of bs-HSQC-NMR in Species identification and Adulteration behavior analysis of Panax Linn. Molecules, 2023, 28, 4332 (2top)

Fanjing Guo, Genjin Lin, Liheng Dong, Kian-Kai Cheng, Lingli Deng, Xiangnan Xu, Daniel Raftery*, Jiyang Dong*. Conccordance-Based Batch Effect Correction Method for Large-Scale Metabolomics. Analytical Chemistry. 2023, 95(18): 7220-7228 (1top)

Xiaoyu Wang#, Chunjing Chen#, Yaohui He#, Lianshuai Ding, Yifan Wu, Chengting Huang, Jun Wu, Rong Ding, Yuhua Xue, Zhiwei Lin, Pengxiang Xu, Yile Wu, Wen Liu, Jijun Li, Zongwei Cai, Yufen Zhao, Jiyang Dong*, Qiang Zhou*, Xiang Gao*. Isobaric stable isotope N-Phosphorylation labeling (iSIPL) for accurate and sensitive proteome quantification. Angewandte Chemie International Edition. 2023, 62: e202303656. (1top)

Yongpei Wang#, Xingxing Liu#, Liheng Dong, Kian-Kai Cheng, Caigui Lin, Xiaomin Wang, Jiyang Dong*, Lingli Deng*, Daniel Raftery. iMSEA: A Novel Metabolite Set Enrichment Analysis Strategy to Decipher Drug Interactions. Analytical Chemistry. 2023, 95(15): 6203-6211 (1top)

G. A. Nagana Gowda*, Vadim Pascua, John A. Lusk, Natali N. Hong, Lin Guo, Jiyang Dong, Ian R. Sweet, Daniel Raftery*. Monitoring Live Mitochondrial Metabolism in Real-Time Using NMR Spectroscopy. Magnetic Resonance in Chemistry. 2023,61:718-727(3)

Jiyang Dong, Qianwen Peng, Lingli Deng, Chao Zhao*, Zongwei Cai*. Protocol for metabolic synergy analysis of multi-organs in mice using iMS2Net. STAR Protocols, 2023, 4: 102159.

Lei Guo#, Jiyang Dong#,*, Xiangnan Xu, Zhichao Wu, Yinbin Zhang, Yongwei Wang, Pengfei Li, Chao Zhao*, Zongwei Cai*. Divide-and-conquer: a flexible deep learning strategy for exploring metabolic heterogeneity from mass spectrometry imaging data. Analytical Chemistry, 2023, 95 (3): 1924-1932 (1top)

Caigui Lin#, Qing Hu#, Jiyang Dong, Zhiliang Wei, Jie Li*, Zhong Chen*. Serum metabolic signatures of schizophrenia patients complicated with hepatitis B virus infection: A 1H NMR-based metabolomics study. Frontiers in Psychiatry, 2022, 13: 998709 (3)

Xin Liu, Yue Li, Chunjing Chen, Jiyang Dong, Jie Zhou, Lei Wang, Xiang Gao, Xinmei Kang*. Exosomal EphA2 Promotes Tumor Metastasis of Triple-Negative Breast Cancer by Destroying Endothelial Barrier. Clinical & Experimental Metastasis, 2022, 40(1): 105-116 (3)

Lei Guo#, Xingxing Liu#, Chao Zhao, Zhenxing Hu, Xiangnan Xu, Kian-Kai Cheng, Mudassir Shah, Jingjing Xu*, Jiyang Dong *, Zongwei Cai. iSegMSI: An Interactive Strategy to Improve Spatial Segmentation of Mass Spectrometry Imaging Data. Analytical Chemistry. 2022, 94 (42): 14522-14529. (1top)

Jiyang Dong, Qianwen Peng, Lingli Deng, Jianjun Liu, Wei Huang, Xin Zhou, Chao Zhao*, Zongwei Cai*. iMS2Net: A Multiscale Networking Methodology to Decipher Metabolic Synergy of Organism. iScience. 2022, 25(9): 104896 (2)

Chao Zhao, Jiyang Dong, Lingli Deng, Yawen Tan, Wei Jiang, Zongwei Cai*. Molecular Network Strategy in Metabolomics and Mass Spectrometry Imaging. Current Opinion in Chemical Biology, 2022, 70:102199 (2)

Qinqin Yang, Jiechao Wang, Jianfeng Bao, Xiaoyin Wang, Lingceng Ma, Qizhi Yang, Shuhui Cai,