个人简介
李洪东，。本科(制药工程)与博士（分析化学）分别于2007和2012年毕业于中南大学化学化工学院。2010年到芬兰Oulu大学合作研究。2012年8月加入密歇根大学，安娜堡(University of Michigan, Ann Arbor)医学院从事计算生物学博士后研究至2015年5月, 随后以Research Scientist职位加入位于西雅图的系统生物学研究所(Institute for Systems Biology, Seattle), 从事系统生物学/蛋白组学研究。目前，在Alzheimer's Dementia (IF=17.12), Trends in Genetics, Nat. Genet (co-author), Brief Bioinform, Nat. Commu (co-author), PLOS Comput Biol, Bioinformatics, Transactions on Computational Biology and Bioinformatics, J. Proteome Res, Proteomics, Chemom. Intell. Lab. Syst. 等杂志上发表SCI文章70余篇，据Google Scholar, 总引用4000余次，单篇最高引用700次 (ESI前1%高引论文), H指数30；合著英文专著一本(CRC Press, USA出版)；撰写二个章节。2014年获人类蛋白组世界大会(Spain) Young Investigator Award(青年研究者奖)；主持国家自然科学基金青年项目一项，作为合作方负责人获国家自然科学基金地区项目一项，参与多项国家自然科学基金项目。
工作经历
[1] 2015.5-2016.10
系统生物学研究所（西雅图, 系统生物学之父Leory Hood领导的研究所）(Institute for Systems Biology, Seattle) | 研究科学家（Research Scientist） |
导师： Nathan D. Price
[2] 2012.8-2015.5
密歇根大学安娜堡分校（University of Michigan, Ann Arbor) | 计算医学系 | 博士后 |
导师： Yuanfang Guan. 合作导师：Gilbert S. Omenn
Hongdong Li, Associate Professor (tenure track), School of Computer Science and Engineering, Central South University. He received the Bachelor (Pharmaceutical Engineering) and PhD (Analytical Chemistry) degree from College of Chemistry and Chemical Engineering, Central South University, Changsha, P.R. China in 2007 and 2012, respectively. He visited Oulu University, Finland in 2010. From Aug. 2012 to May 2015, he worked in University of Michigan, Ann Arbor, as a postdoc in computational medicine. Then he joined Institute for Systems Biology (Seattle) as a Research Scientist studying systems biology of diseases. So far, he has published over 60 SCI indexed papers in decent journals including Alzheimer's Dementia, Trends in Genetics, Brief Bioinform, PLOS Comput Biol, Bioinformatics, IEEE ACM T Comput Bi, J. Proteome Res, Proteomics, Nat. Genet (co-author), Nat. Commu (co-author), Chemom. Intell. Lab. Syst. According to Google Scholar, his publications have received over 3800 citations with H-index=29. The maximum citation number of a single paper is over 660. One paper was selected into the ESI 1% collection. He co-authored a monograph in English (CRC Press, USA) and wrote two book chapters. In 2014, he won the Young Investigator Award in the World Congress on Human Proteome (Madrid, Spain). As PI, He was awarded a National Natural Science Foundation of China (NSFC) grant (for young scholars). As co-I, he participated in an NSFC regional grant. He also joined several other NSFC grants.
EDUCATION
• PhD, Analytical Chemistry, 2012, Central South University, Changsha, China.
• BSc, Pharmaceutical Engineering, 2007, Central South University, Changsha, China.
WORK EXPERIENCE
• Jun. 2018, Visiting scholar, Institute for Systems Biology, Seattle, United States
• Jun. 2018, Visiting scholar, University of Michigan, Ann Arbor, Michigan, United States.
• Jul. 2017, Visiting scholar, Institute for Systems Biology, Seattle, United States
• Dec. 2016~present, Associate Professor, School of Computer Science and Engineering, Central South University, China.
• May. 2015~Oct. 2016, Research Scientist, Institute for Systems Biology, Seattle, United States.
• Aug. 2015, training course of Systems Biology of Diseases, Institute for Systems Biology, Seattle, United States.
• Jul. 2012~May. 2015, Postdoctoral Research Fellow in computational medicine and functional genomics, Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States.
• Nov. 2010~Apr. 2011, Visiting Research Scientist, University of Oulu, Finland.
HONORS & AWARDS
• Travel stipend for the US Human Proteome Organization Conference, Tempe, 2015 ($300.00).
• Winning Poster in The 13th Human Proteome Organization World Conference，Madrid, Spain, 2014.
• The 13th Human Proteome Organization World Conference, AB SCIEX C-HPP Young Investigator Award, Madrid, Spain, 2014.
• The outstanding paper award for the young fellow in the 26th annual chemistry conference in China, Nankai University, Tianjin City, 2008.
TEACHING
• Bioinformatics.
JOURNAL REFEREE
• PLoS Genetics.
• Current Metabolomics
• Bioinformatics
• Chemometrics and Intelligent Laboratory Systems.
• Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy.
RESEARCH FUNDING
• National Natural Science Foundation of China, NO. 61702556, 210,000.00RMB, PI
• National Natural Science Foundation of China, NO. 61762087, 550,000.00RMB, Co-I
INTERNATIONAL CONFERENCE & PAPER
• Hong-Dong Li, Bharat Panwar, Rajasree Menon, Yuanfang Guan, Gilbert Omenn, Genome-scale Prediction of Human Splice Isoform Functions and Functional Networks, US HUPO 11th Annual Conference, Tempe, 2015 (selected for a talk).
• Rajasree Menon, Yuanfang Guan, Hong-Dong Li, Ridvan Eksi, Michael Snyder, William S Hancock, Gilbert S Omenn, US HUPO 10th Annual Conference, Seattle, 2014.
BOOKS AND CHAPTERS
• Yi-Zeng Liang, Qing-Song Xu, Hong-Dong Li and Dong-Sheng Cao, Support Vector Machines and their application in chemistry and biotechnology, CRC Press, ISBN 978-1-4398-2128-2, 2011. Invited book.
• Hong-Dong Li, Yi-Zeng Liang and Qing-Song Xu, Statistical model comparison via model population analysis, an invited chapter for the book Chemometrics in Practical Applications, Edited by Kurt Varmuza, inTech press, ISBN 978-953-308-66-6, 2012
• Hong-Dong Li, Yang Zhang, Yuanfang Guan, Rajasree Menon, Gilbert S. Omenn, Annotation of Alternatively Spliced Proteins and Transcripts with Protein-Folding Algorithms and Isoform-level Functional Networks, an invited chapter for the book Methods in Molecular Biology, in press, 2016
近期论文
查看导师最新文章
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SELECTED_ARTICLES
Hong-Dong Li#, Cory C. Funk#, Karen McFarland, Eric B. Dammer, Mariet Allen, Minerva M. Carrasquillo, Yona Levties, Paramita Chakrabarty, Jeremy D. Burgess, Xue Wang, Dennis Dickson, Nicholas T. Seyfried, Duc M. Duong, James J. Lah, Steven G. Younkin, Allan I. Levey, Gilbert S. Omenn, Nilufer Ertekin-Taner, Todd E. Golde, Nathan D. Price*, Integrative functional genomic analysis of intron retention in human and mouse brain with Alzheimer’s disease. Alzheimer’s Dement, 2020, doi: 10.1002/alz.12254 (IF=17)
Hong-Dong Li, Rajasree Menon, Gilbert S. Omenn, Yuanfang Guan. The Emerging Era of Genomic Data Integration for Analyzing Splice Isoform Functions, Trends Genet, 30(2014)340-347. Invited review, among the top 25 downloaded articles of this journal in the last 90 days (data based on Aug 6, 2014). (IF=11, Citation=53)
Hong-Dong Li, Changhuo Yang, Zhimin Zhang, Mengyun Yang, Fang-Xiang Wu, Gilbert S Omenn, Jianxin Wang*, IsoResolve: Predicting Splice Isoform Functions by Integrating Gene and Isoform-level Features with Domain Adaptation. Bioinformatics, 2020, btaa829
Hong-Dong Li, Tianjian Bai, Erin Sandford, Margit Burmeister, Yuanfang Guan, BaiHui: cross-species brain-specific network built with hundreds of hand-curated datasets. Bioinformatics, 2019, 2486-2488
Hong-Dong Li, Gilbert S. Omenn, Yuanfang Guan. A proteogenomic approach to understand splice isoform functions through structure and expression-based computational approaches, Briefings in Bioinformatics, 2016, bbv109
Hong-Dong Li, Rajasree Menon, Brandon Govindarajoo, Bharat Panwar, Yang Zhang, Gilbert S. Omenn, and Yuanfang Guan. Functional Networks of Highest-Connected Splice Isoforms: From the Chromosome 17 Human Proteome Project, J Proteome Res, 14(2015)3484-3491 (Selected into the Virtual Issue of 60 significant articles published in Journal of Proteome Research during the past decade (2010–2020) to celebrate the 10th Anniversary of the Human Proteome Project and near the 20th Anniversary of HUPO, available at: https://pubs.acs.org/page/jprobs/vi/humanproteome)
Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Uncover the path from PCR to PLS via elastic component regression, Chemometrics and Intelligent Laboratory Systems, 104(2010)341-346
Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Dong-Sheng Cao, Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration, Analytica Chimica Acta 648(2009)77-84 (Citation=660)
JOURNAL ARTICLES
Hong-Dong Li#, Cory C.Funk#, Karen McFarland, Eric B.Dammer, Mariet Allen, Minerva M.Carrasquillo, Yona Levties, Paramita Chakrabarty, Jeremy D.Burgess, Xue Wang, Dennis Dickson, Nicholas T.Seyfried, Duc M.Duong, James J.Lah, Steven G.Younkin, Allan I.Levey, Gilbert S.Omenn, Nil¨ufer Ertekin-Taner, Todd E.Golde, Nathan D.Price*, Integrative functional genomic analysis of intron retention in human and mouse brain with Alzheimer’s disease. Alzheimer’s Dement, 2020, doi: 10.1002/alz.12254 (IF=17)
Yapu Li, Ding Wang, Hongtao Wang, Xin Huang, Yuqi Wen, Bingrui Wang, Changlu Xu,Jie Gao, Jinhua Liu, Jingyuan Tong, Mengge Wang, Pei Su, Sirui Ren, Feng Ma, Hong-Dong Li, Emery H. Bresnick, Jiaxi Zhou, and Lihong Shi*, A splicing factor switch controls hematopoietic lineage specification of pluripotent stem cells. EMBO Reports, 2020, doi: 10.15252/embr.202050535.
Hong-Dong Li, Changhuo Yang, Zhimin Zhang, Mengyun Yang, Fang-Xiang Wu, Gilbert S Omenn, Jianxin Wang*, IsoResolve: Predicting Splice Isoform Functions by Integrating Gene and Isoform-level Features with Domain Adaptation. Bioinformatics, 2020, btaa829
Hong-Dong Li, Yunpei Xu, Xiaoshu Zhu, Quan Liu, Gilbert S.Omenn and Jianxin Wang, ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets. J Bioinf Comput Biol, 2020,18, 2040009
Hong-Dong Li, Cory C. Funk, Nathan D. Price*, iREAD: a tool for intron retention detection from RNA-seq data. BMC Genomics, 2020, 14, 128
Xiaoqing Peng, Hong-Dong Li, Fangxiang Wu, Jianxin Wang*, Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics. Briefings in Bioinformatics, 2020, bbaa060
Hong-Dong Li, Tianjian Bai, Erin Sandford, Margit Burmeister, Yuanfang Guan, BaiHui: cross-species brain-specific network built with hundreds of hand-curated datasets. Bioinformatics, 2018, doi:10.1093/bioinformatics/bty1001
Hong-Dong Li*, Qing-Song Xu, Yi-Zeng Liang, libPLS: an integrated library for partial least squares regression and discriminant analysis. Chemom. Intell. Lab. Syst, 176(2018)34-43
Hong-Dong Li*, Qing-Song Xu, Yi-Zeng Liang, A phase diagram for gene selection and disease classification, Chemometrics and Intelligent Laboratory Systems, 167(2017)208-213
Yunpei Xu#, Hong-Dong Li# (co-first), Yi Pan, Feng Luo, Jianxin Wang, BioRank: A Similarity Assessment Method for Single Cell Clustering, BIBM, (2018)157-162
Rebecca Sims, Sven J van der Lee,Hong-Dong Li, Sudha Seshadri, Julie Williams, and Gerard D. Schellenberg, Rare coding variants in PLCG2, ABI3 and TREM2 implicate microglial-mediated innate immunity in Alzheimer’s disease, Nat Genet. 2017, 49(9) 1373-1384 (Citation=175)
Solveig Sieberts, Fan Zhu, Javier García-García, Eli Stahl, Abhishek Pratap, Gaurav Pandey, Dimitrios Pappas, Daniel Aguilar, Bernat Anton, Jaume Bonet, Ridvan Eksi, Oriol Fornés, Emre Guney, Hong-Dong Li, Yuanfang Guan, and Lara Mangravite, Crowdsourced assessment of genetic contribution to predicting anti4TNF treatment response in rheumatoid arthritis, Nat Commun, 2016, (7)12406
Hong-Dong Li, Rajasree Menon, Ridvan Eksi, Yang Zhang, Gilbert S. Omenn, and Yuanfang Guan. A network of splice isoforms for the mouse. Sci Rep 6(2015)24507.
Bharat Panwar, Rajasree Menon, Ridvan Eksi, Hong-Dong Li, Gilbert S. Omenn, and Yuanfang Guan, Genome-wide Functional Annotation of Human Protein-coding Splice Variants Using Multiple Instance Learning, J Proteome Res, 15(2016)1747–1753
Hong-Dong Li, Rajasree Menon, Brandon Govindarajoo, Bharat Panwar, Yang Zhang, Gilbert S. Omenn, and Yuanfang Guan. Functional Networks of Highest-Connected Splice Isoforms: From the Chromosome 17 Human Proteome Project, J Proteome Res, 14(2015)3484-3491
Hong-Dong Li, Gilbert S. Omenn, and Yuanfang Guan. Misomine: A Genome-Scale High-Resolution Data Portal of Expression, Function and Networks at the Splice Isoform Level in the Mouse. Database 2015 (2015)
Hong-Dong Li, Rajasree Menon, Gilbert S. Omenn, Yuanfang Guan. The Emerging Era of Genomic Data Integration for Analyzing Splice Isoform Functions, Trends Genet, 30(2014)340-347. Invited review, among the top 25 downloaded articles of this journal in the last 90 days (data based on Aug 6, 2014). (Citation=53)
Hong-Dong Li, Rajasree Menon, Gilbert S. Omenn, Yuanfang Guan. Revisiting the Identification of Canonical Splice Isoforms through Integration of Functional Genomics and Proteomics Evidence, Proteomics, 14(2014)2709-2718.
Hong-Dong Li, Rajasree Menon, Gilbert S. Omenn, Yuanfang Guan. Poster for Revisiting the Identification of Canonical Splice Isoforms through Integration of Functional Genomics and Proteomics Evidence, Journal of Proteome Research, accepted. (The 13th Human Proteome Organization World Conference, winner poster and AB SCIEX C-HPP Young Investigator Award, Madrid, Spain, 2014)
Fan Zhu, Lihong Shi, Hong-Dong Li, Ridvan Eksi, James Douglas Engel, Yuanfang Guan, Modeling Dynamic Functional Relationship Networks and Application to Ex Vivo Human Erythroid Differentiation, Bioinformatics, 2014, 30(23): 3325–3333
Ridvan Eksi*, Hong-Dong Li* (co-first author), Rajasree Menon , Yuchen Wen, Gilbert S. Omenn, Yuanfang Guan. Systematically Differentiating Functions for Alternatively Spliced Isoforms through Integrating RNA-seq data. PloS Comput Biol 9(2013)e1003314.
Xu-Xia Long, Hong-Dong Li, Wei Fan, Qing-Song Xu, Yi-Zeng Liang. A model population analysis method for variable selection based on mutual information. Chemometrics and Intelligent Laboratory Systems 121(2013)75-81
Hong-Dong Li, Yi-Zeng Liang, Xu-Xia Long, Yong-Huan Yun, Qing-Song Xu. The continuity of sample complexity and its relationship to multivariate calibration: A general perspective on first-order calibration of spectral data in analytical chemistry, Chemometrics and Intelligent Laboratory Systems 122 (2013) 23-30
Xian Chen, Hong-Dong Li, Fang-Qiu Guo, Jun Yan, Dong-Sheng Cao, Yi-Zeng Liang, QSRR Study on flavor compounds of diverse structures on different columns with the help of new chemometric methods, Chromatographia 76 (5-6), 241-253
Yong-Huan Yun, Hong-Dong Li, Leslie R E Wood, Wei Fan, Jia-Jun Wang, Dong-Sheng Cao, Qing-Song Xu, Yi-Zeng Liang, An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 111, 31-36 (Citation=111)
Hong-Dong Li, Qing-Song Xu and Yi-Zeng Liang, Random Frog: an efficient reversible jump Markov Chain Monte Carlo-like approach for gene selection and disease classification, Analytica Chimica Acta, 740 (2012)20-26
Hong-Dong Li, Qing-Song Xu, Wan Zhang and Yi-Zeng Liang, Variable Complementary Network: a novel approach for identifying biomarkers and their mutual associations, Metabolomics, 8(2012)1218-1226
Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Dong-Sheng Cao, Model population analysis and its applications in chemical and biological modeling, Trends in Analytical Chemistry, 38 (2012)154-162
Wei Fan, Hong-Dong Li, Yang Shan, Hui-Ying Lv, Hua-Xiu Zhang, Yi-Zeng Liang, Classification of vinegar samples based on near infrared spectroscopy combined with wavelength selection, Analytical Methods, 3 (2011) 1872-1876
Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Bin-Bin Tan, Bai-Chuan Deng, Chen-Chen Lin, Recipe for uncovering predictive genes using support vector machines based on model population analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(2011)1633-1641
Qin Wang, Hong-Dong Li, Qing-Song Xu, Yi-Zeng Liang, Noise incorporated subwindow permutation analysis for informative gene selection using support vector machines, Analyst,136(2011) 1456-1463
Hong-Dong Li, Mao-Mao Zeng, Bin-Bin Tan, Yi-Zeng Liang, Qing-Song Xu, Dong-Sheng Cao, Recipe for revealing informative metabolites based on model population analysis, Metabolomics, 6(2010) 353-361
Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Dong-Sheng Cao, Model population analysis for variable selection, Journal of chemometrics, 24(2010)418-423 (Citation=25)
Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Uncover the path from PCR to PLS via elastic component regression, Chemometrics and Intelligent Laboratory Systems, 104(2010)341-346
Bin-Bin Tan, Yi-Zeng Liang, Lun-Zhao Yi, Hong-Dong Li, Zhi-Guang Zhou, Xiao-Yan Ji, Jia-Hui Deng, Identification of free fatty acids profiling of type 2 diabetes mellitus and exploring possible biomarkers by GC–MS coupled with chemometrics. Metabolomics 6(2010)219-228
Mao-Mao Zeng, Yang Xiao, Yi-Zenkyg Liang, Bin Wang, Xian Chen, Dong-Sheng Cao, Hong-Dong Li, Mei Wang, Zhi-Guang Zhou, Metabolic alterations of impaired fasting glucose by GC/MS based plasma metabolic profiling combined with chemometrics. Metabolomics 6(2010)303-311
Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu. Support vector machines and its applications in chemistry. Chemometrics and Intelligent Laboratory Systems 95 (2009) 188-198. (Expanded to a book in English, and the Top 2 Hottest Articles for Chemometrics and Intelligent Laboratory Systems for the last quarter of available data (January-March 2009), the second-most cited among articles published since 2009) (Citation=280)
Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Dong-Sheng Cao, Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration, Analytica Chimica Acta 648(2009)77-84 (Citation=487)
Dong-Sheng Cao, Yi-Zeng Liang, Qing-Song Xu, Hong-Dong Li, Xian Chen, A new strategy of outlier detection for QSAR/QSPR. Journal of Computational Chemistry 31(2010)592-602 (Citation=109)
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