厦门大学生命科学学院导师介绍：黄佳良

  黄佳良  HUANG Jialiang, Ph.D.
  闽江学者特聘教授
  生物信息与表观遗传组学（Bioinformatics and Epigenomics Lab）
  课题组长
  E-mail：jhuang@xmu.edu.cn
  2005年，福州大学，生物工程学士
  2008年，福州大学，计算机软件与理论硕士
  2012年，中国科学院遗传与发育生物学研究所，生物信息学博士
  2011-2013，葛兰素史克上海医药研发有限公司，科学家
  2013-2018，哈佛大学Dana-Farber癌症研究所/波士顿儿童医院，博士后
  2018年至今，厦门大学生命科学学院，闽江学者特聘教授
  2005, B.Sc., Fuzhou University
  2008, M.Sc., Fuzhou University
  2012, Ph.D., Chinese Academy of Science
  2011-2013, Scientist, GlaxoSmithKline (China) R&D Co., Ltd., Shanghai
  2013-2018, Postdoc, Dana-Farber Cancer Institute/Boston Children's Hospital, Harvard Medical School
  2018-present, Principal Investigator, School of Life Sciences, Xiamen University
  研究领域（Research Area）
  本课题组主要开发生物信息算法，分析高通量组学数据，并与实验生物学家合作，研究表观遗传调控在发育和疾病中的作用机制。具体研究包括：（1）开发计算学方法，用于分析表观遗传基因组学数据(Nat. Comm., 2017; PloS Comp. Bio. 2013; Bioinfo., 2011)。目前课题：分析染色质构象捕获测序技术（Hi-C）和单细胞表观组学等数据。（2）提出生物学发现，整合表观遗传组学数据，从系统层面研究表观遗传调控机制，提出生物学发现或假设(Nat. Comm., 2018; Genome Bio., 2015)。目前课题：研究增强子之间的层次结构和基因调控网络等机制。(3) 开展湿实验验证，利用CRISPR/cas9基因编辑和高通量测序等技术，对计算模型预测结果开展实验验证(Nat. Comm., 2018; Dev. Cell, 2016)。目前课题：构建RNA-seq、ChIP-seq和ATAC-seq等高通量测序技术平台。(4) 与生物学家合作，研究表观遗传调控在不同生物过程中的具体作用机制(Cancer Discov. 2017; Dev. Cell, 2016; Mol. Cell, 2015)。目前课题：涉及造血干细胞分化和癌症发生等系统。

  My lab develops computational methodologies to analyze high throughput data and partners with experimental biologists to understand the epigenetic regulation mechanisms during development and diseases. Our current research includes the following areas. (1) Develop computational methods, for epigenomic data analysis (Nat. Comm., 2017; PloS Comp. Bio. 2013; Bioinfo., 2011), with current focus on the data related to chromatin 3D structure (Hi-C) and single-cell epigenomics. (2) Make biological discoveries, or testable hypothesis at system level through integrating large amount of publicly available genomic and epigenomic data (Nat. Comm., 2018; Genome Bio., 2015), with current focus on understanding the mechanisms of enhancer hierarchy and gene regulatory network. (3) Perform experimental validations, for the computational prediction using CRISPR/cas9 genome-editing assays together with high-throughput sequencing technologies (Nat. Comm., 2018; Dev. Cell, 2016), with current focus on building the platform of RNA-seq, ChIP-seq and ATAC-seq. (4) Collaborate with biologists, to understand the role of epigenetic regulation in the various context (Cancer Discov. 2017; Dev. Cell, 2016; Mol. Cell, 2015), with current focus on hematopoiesis and cancer biology.

  代表性论文（Selected Publications）
  1.Jialiang Huang#,Kailong Li#, Wenqing Cai,Xin Liu, Yuannyu Zhang, Stuart H. Orkin, Jian Xu*, Guo-Cheng Yuan*.Dissecting super-enhancer hierarchy based on chromatin interactions. Nature Communications, 2018; 9:943.
  2.Jialiang Huang#, Xin Liu#, Dan Li#, Zhen Shao#, Hui Cao, Yuannyu Zhang, Eirini Trompouki, Teresa V. Bowman, Leonard I. Zon, Guo-Cheng Yuan, Stuart H. Orkin*, Jian Xu*. Dynamic control of enhancer repertoires drives lineage and stage-specific transcription during hematopoiesis. Developmental Cell, 2016; 36, 9-23.
  3.Jialiang Huang, Eugenio Marco, Luca Pinello, Guo-Cheng Yuan*. Predicting chromatin organization using histone marks. Genome Biology, 2015; 16, 162.
  4.Jialiang Huang, Chaoqun Niu, Christopher D.Green, Lun Yang, Hongkang Mei*, Jing-Dong J. Han*. Systematic prediction of pharmacodynamic drug-drug interactions through protein-protein-interaction network. PLoS Computational Biology, 2013; 9, e1002998.
  5.Jialiang Huang, Yi Liu, Wei Zhang, Hong Yu and Jing-Dong J. Han*. eResponseNet: a package prioritizing candidate disease genes through cellular pathways. Bioinformatics, 2011; 27, 2319-2320.
  6.Eugenio Marco#, Wouter Meuleman#, Jialiang Huang#, Kimberly Glass, Luca Pinello, Jianrong Wang, Manolis Kellis*, Guo-Cheng Yuan*. Multi-scale chromatin state annotation using a hierarchical hidden Markov model.Nature Communications, 2017; 8, 15011.
  7.Semir Beyaz#, Ji Hyung Kim#, Luca Pinello#, Yu Hu, Marc A. Kerenyi, Partha P. Das, R. Anthony Barnitz, Michael E. Xifaras, Ray Dogum, Jialiang Huang, W. Nicholas Haining, Omer Yilmaz, Guo-Cheng Yuan, Stuart H. Orkin*, Florian Winau*. The histone demethylase UTX regulates the lineage-specific epigenetic program of invariant natural killer T cells. Nature Immunology. 2017; 18, 184-195.
  8.Jessie Hao-Ru Hsu, Benjamin Hubbell-Engler, Guillaume O. Adelmant, Jialiang Huang, Cailin E. Joyce, Francisca Vazquez, Barbara A. Weir, Philip Montgomery, Andrew Oswald Giacomelli, Jennifer A. Perry, Jennifer J.Trowbridge, Yuko Fujiwara, Glenn S.Cowley, Huafeng Xie, Woojin Kim, William C. Hahn, Jarrod A. Marto, Stuart H. Orkin*. Prmt1-mediated translation regulation is a crucial vulnerability of cancer. Cancer Research. 2017; 77; 4613-25.
  9.Huafeng Xie, Cong Peng, Jialiang Huang, Bin Li, Woojin Kim, Elenoe Smith, Yuko Fujiwara, Jun Qi, Giulia Cheloni, Partha P. Das, Minh Nguyen, Shaoguang Li, James E. Bradner, Stuart H. Orkin*. Chronic myelogenous leukemia initiating cells require Polycomb group protein EZH2. Cancer Discovery, 2016; 6, 1237-1247.
  10.Sidinh Luc, Jialiang Huang, Jennifer McEldoon, Ece Somuncular, Dan Li, Claire Rhodes, Shahan Mamoor, Serena Hou, Jian Xu, Stuart H. Orkin*. Bcl11a-deficiency causes hematopoietic stem cell defects with an aging-like phenotype. Cell Reports, 2016; 16, 3181-3194.
  11.Jian Xu#, Zhen Shao#, Dan Li, Huafeng Xie, Woojin Kim, Jialiang Huang, Jordan E. Taylor, Luca Pinello, Kimberly Glass, Jacob D. Jaffe, Guo-Cheng Yuan, Stuart H. Orkin*. Developmental control of polycomb subunit composition by GATA factors mediates a switch to non-canonical functions. Molecular Cell, 2015; 57, 304-316.
  12.Heng Luo, Ping Zhang, Hui Huang, Jialiang Huang, Emily Kao, Leming Shi, Lin He and Lun Yang*.  DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome. Nucleic Acids Research, 2014; 42, W46-52.
  13.Bing Zhou#, Liu Yang#, Shoufeng Li, Jialiang Huang, Haiyang Chen, Lei Hou, Jinbo Wang, Christopher D. Green, Zhen Yan, Xun Huang, Matt Kaeberlein, Li Zhu, Huasheng Xiao, Yong Liu, and Jing-Dong J. Han*. Midlife gene expressions identify modulators of aging through dietary interventions. PNAS, 2012; 109, E1201-1209.
  14.Ting Mao, Mengle Shao, Yifu Qiu, Jialiang Huang, Yongliang Zhang, Bo Song, Qiong Wang, Lei Jiang, Yi Liu, Jing-Dong J. Han, Pengrong Cao, Jia Li, Xiang Gao, Liangyou Rui, Ling Qi, Wenjun Li and, Yong Liu*. PKA phosphorylation couples hepatic inositol-requiring enzyme 1α to glucagon signaling in glucose metabolism. PNAS, 2011; 108, 15852-15857.