导师介绍
王鹏
博士 研究员 博士生导师
中科院“百人计划”获得者
中科院计算生物学重点实验室,网络基因组学课题组组长
研究方向:计算生物学;肿瘤系统生物学;生物网络
电子邮件(E-mail):wangpeng@picb.ac.cn
简历

2017–至今:中国科学院上海营养与健康研究院 生物医学大数据中心研究员,平台课题组长
2011–2017年:中国科学院上海高等研究院研究员
2006–2011年:La Jolla Institute of Allergy & Immunology, La Jolla, CA,研究科学家
2003–2006年:Computational Systems Biology Laboratory, University of Georgia, Athens, GA,博士后
2001-2002年:康奈尔大学,工程硕士
1996-2001年:University of Wisconsin-Madison,博士
1991-1996年:北京大学,学士

研究内容

我们的主要研究兴趣是获得对调控基本生物过程 (如肿瘤发生和发展) 的生物网络的定量解读。我们特别感兴趣的是生物网络如何处理基因组、转录组和环境中的动态变化和突变信息, 进而产生观察到的表型的机制。在研究过程中我们采用数据驱动的方法, 将计算数据挖掘与实验分析相结合, 最终目的是建立生物网络如何处理信息的简洁数学描述。

代表性论文(* 通讯作者)
  1. M. Xue, H. Liu, L. Zhang, H. Chang, Y. Liu, S. Du, Y. Yang, P. Wang*. Computational identification of mutually exclusive transcriptional drivers dysregulating metastatic microRNAs in prostate cancer. Nature Communications 11, 14917 (Apr 11, 2017).
  2. H. Chang, Y. Liu, M. Xue, H. Liu, S. Du, L. Zhang, P. Wang*. Synergistic action of master transcription factors controls epithelial-to-mesenchymal transition. Nucleic acids research 44, 2514 (Apr 07, 2016).
  3. L. Wang, L. Yao, Y. Z. Zheng, Q. Xu, X. P. Liu, X. Hu*, P. Wang*, Z. M. Shao*. Expression of autophagy-related proteins ATG5 and FIP200 predicts favorable disease-free survival in patients with breast cancer. Biochemical and biophysical research communications 458, 816 (Mar 20, 2015).
  4. L. Li, D. Wang, M. Xue, X. Mi, Y. Liang, P. Wang*. 3'UTR shortening identifies high-risk cancers with targeted dysregulation of the ceRNA network. Scientific reports 4, 5406 (Jun 23, 2014).
  5. D. Mucida, M. M. Husain, S. Muroi, F. van Wijk, R. Shinnakasu, Y. Naoe, B. S. Reis, Y. Huang, F. Lambolez, M. Docherty, A. Attinger, J. W. Shui, G. Kim, C. J. Lena, S. Sakaguchi, C. Miyamoto, P. Wang, K. Atarashi, Y. Park, T. Nakayama, K. Honda, W. Ellmeier, M. Kronenberg, I. Taniuchi, H. Cheroutre. Transcriptional reprogramming of mature CD4(+) helper T cells generates distinct MHC class II-restricted cytotoxic T lymphocytes. Nature immunology 14, 281 (Mar, 2013).
  6. Y. Kim, J. Ponomarenko, Z. Zhu, D. Tamang, P. Wang, J. Greenbaum, C. Lundegaard, A. Sette, O. Lund, P. E. Bourne, M. Nielsen, B. Peters. Immune epitope database analysis resource. Nucleic acids research 40, W525 (Jul, 2012).
  7. P. Wang, J. Sidney, Y. Kim, A. Sette, O. Lund, M. Nielsen, B. Peters. Peptide binding predictions for HLA DR, DP and DQ molecules. BMC bioinformatics 11, 568 (Nov 22, 2010).
  8. Q. Zhang, P. Wang, Y. Kim, P. Haste-Andersen, J. Beaver, P. E. Bourne, H. H. Bui, S. Buus, S. Frankild, J. Greenbaum, O. Lund, C. Lundegaard, M. Nielsen, J. Ponomarenko, A. Sette, Z. Zhu, B. Peters. Immune epitope database analysis resource (IEDB-AR). Nucleic acids research 36, W513 (Jul 01, 2008).
  9. P. Wang, J. Sidney, C. Dow, B. Mothe, A. Sette, B. Peters. A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach. PLoS computational biology 4, e1000048 (Apr 04, 2008).
  10. R. Arens, P. Wang, J. Sidney, A. Loewendorf, A. Sette, S. P. Schoenberger, B. Peters, C. A. Benedict. Cutting edge: murine cytomegalovirus induces a polyfunctional CD4 T cell response. J Immunol 180, 6472 (May 15, 2008).
  11. P. Wang, A. A. Morgan, Q. Zhang, A. Sette, B. Peters. Automating document classification for the Immune Epitope Database. BMC bioinformatics 8, 269 (Jul 26, 2007).
  12. B. Yan, T. Zhou, P. Wang, Z. Liu, V. A. Emanuele, 2nd, V. Olman, Y. Xu. A point-process model for rapid identification of post-translational modifications. Pacific Symposium on Biocomputing 327 (2006).