** Dataset: manually curated Human Signaling Network dataset (Updated April, 2013, HumanSignalingNetwork_v5.txt, ~6,300 proteins and ~63,000 relations).

 ** New Book: Wang E (ed), Cancer Systems Biology, CRC Mathematical and Computational Biology Series, 2010 [Link].

 ** Internal computational tools and data resources (password is required)



Scientific Highlights
  • Personalized medicine for cancer patients.
    Dimensions Magazine, 2011 [HTML]

  • A novel algorithm for finding robust cancer gene markers.
    NRC Highlights, 2010 [HTML]; also in Genetic Engineering & Biotech News, 2010 [PDF]

  • The bioinformatics components in plant genome research.
    NRC Highlights, 2009 [HTML]
    Gene expression map of Arabidopsis embryo development [HTML]


  • From tumor genome sequencing to human cancer signaling maps.
    Highlighted in Genome Technology Magazine [PDF]. Selected by NRC Highlights, 2008 [HTML]

Publications
  • Cancer systems biology in the genome sequencing era (Invited Review).
    Wang et al.
    Seminars in Cancer Biology, 2013 [Paper]

  • Understanding genomic alterations in cancer genomes using an integrative network approach (Invited Review).
    Wang Edwin
    Cancer Letter, in press, 2012 [Paper]

  • A Mass spectrometry-based plasma protein panel targeting the tumor microenvironment in patients with breast cancer.
    Cohen et al.
    ,J. Proteomics, in press, 2012

  • An upstream interacting context based framework for the computational inference of microRNA functions.
    Qiu C, Wang D, Wang E and Cui Q.
    Molecular BioSystems, 8:1492-8, 2012

  • Target of rapamycin signaling regulates metabolism, growth and lifespan in Arabidopsis.
    Ren et al.
    Plant Cell, in press, 2012

  • The human phosphotyrosine signaling network-evolution and hotspots of hijacking in cancer.
    Lei Li, Chabane Tibiche, Cong Fu, Tomonori Kaneko, Michael Moran, Martin Schiller, Shawn Li & Edwin Wang.
    Genome Research, 2011 [PDF] Curated and predicted phosphotyrosine signaling circuits [XLS]
    Presented in RECOME::DREAM, 2011 [ppt].

  • Dynamic modeling and analysis of cancer cellular network motifs.
    Cloutier and Wang.
    Integrative Biology, 3:724-732, 2011 (Invited Review) [Paper] // [Supplementary Methods]

  • A Multiple Survival Screening algorithm (MSS) for identifying high-quality cancer prognostic markers.
    Li and Wang.
    Protocol Exchange, doi:10.1038/protex.2011.211, 2011 (Protocol) [Link]

  • Dynamic rewiring of the Androgen Receptor interaction networks correlates with prosate cancer clinical outcomes.
    Paliouuras M et al.
    Integrative Biology, 3:1020-1032, 2011 [pdf]

  • Identification of vascular breast tumor markers by laser capture microdissection and label-free LC-MS.
    Hill JJ et al.
    Journal of Proteome Research, 10:2479-2493, 2011

  • Functions in auxin pathway to regulate embryonic body plan and meristem organization in Arabidopsis.
    Xiang D et al.
    Plant Cell, 23:4348-67, 2011

  • Genome-wide analysis reveals gene expression and metabolic network dynamics during embryo development in Arabidopsis.
    Xiang D et al.
    Plant Physiol, 156:346-356, 2011

  • Gene expression analysis of flax seed development.
    Venglat et al.
    BMC Plant Biology, 11:74, 2011

2010
  • Identification of high-quality cancer prognostic markers and metastasis network modules.
    Li J, Lenferink AE, Deng Y, Cantin C, Cui Q, Purisima EO, O'Connor-McCourt MD, Wang E.
    Nature Communications, 1:34, 2010

    The paper is freely available in Nature Communications. Highlighted in GenomeWeb-This Week in Nature [HTML]; also in SciBX: Science-Business eXchange, 2010 [HTML]; also in GEN's Tech Tips: Protein Biomarker Discovery, 2010 [PDF] A pratical protocol of the algorithm [Protocol] [Software]

  • Transcriptome profiling of a TGF-beta-induced epithelial-to-mesenchymal transition reveals extracellular clusterin as a target for therapeutic antibodies.
    Lenferink AE, Cantin C, Nantel A, Wang E, Durocher Y, Banville M, Paul-Roc B, Marcil A, Wilson MR, O'Connor-McCourt MD.
    Oncogene, 29:831–844, 2010

2009
  • A roadmap of cancer systems biology.
    Edwin Wang
    Cancer Systems Biology (Wang, E. ed), Chapman & Hall/CRC Press [PDF]

  • From tumor genome sequencing to cancer signaling maps.
    Cong Fu and Edwin Wang
    Cancer Systems Biology (Wang, E. ed), Chapman & Hall/CRC Press [PDF]

  • Signaling network analysis of ubiquitin-mediated proteins suggests correlations between the 26S proteasome and tumor progression.
    Cong Fu, Jie Li and Edwin Wang
    Molecular BioSystems, 5:1809-1816, 2009 [PDF], [HTML]

  • Cepred: predicting the co-expression patterns of the human intronic microRNAs with their host genes.
    D. Wang, M. Lu, J. Miao, T. Li, E. Wang and Q. Cui
    PLoS ONE, 4:e4421, 2009

    The paper is freely available in PLoS ONE.

2008
  • MicroRNA Regulatory Patterns on the Human Metabolic Network.
    Chabane Tibiche and Edwin Wang
    The Open Systems Biology Journal, 1:1-8, 2008 [PDF]

  • Computational methods in cancer gene networking.
    Edwin Wang
    Nutrigenomics and Proteomics in Health and Disease, Blackwell, 367-374, 2008 [PDF]

  • MicroRNA systems biology.
    Edwin Wang
    RNA Technologies in Cardiovascular Medicine and Research, Springer, 69-86, 2008 [PDF]

  • An overview of microRNA.
    Edwin Wang
    RNA Technologies in Cardiovascular Medicine and Research, Springer, 1-16, 2008 [PDF]

2007

  • Cancer systems biology: exploring cancer-associated genes on cellular networks.
    Wang, E., Lenferink, AE.,and O'Connor-McCourt, MD.
    Cellular and Molecular Life Sciences (CMLS), 64:1752-1762, 2007, [invited review] [PDF]

  • Regulatory network motifs and hotspots of cancer genes in a mammalian cellular signaling network.
    Awan, A., H. Bari, F. Yan, S. Mokin, S. Yang, S. Chowdhury, Q. Cui, Z. Yu, E. Purisima and E. Wang
    IET Systems Biology, 1:292-297, 2007

    Click this link to view the supplementary material page.

  • MicroRNA systems biology.
    Edwin Wang
    A book chapter in: "RNA Technologies in Cardiovascular Medicine and Research", Springer, in press [PDF]

  • Aberrant allele frequencies of the SNPs located in microRNA target sites are potentially associated with human cancers.
    Yu, Z., Zhen, L., Jolicoeur, N., Zhang, L., Fortin, Y., Wang, E., Shen, S.
    Nuclei Acids Research, 35:4535-4541, 2007

    The paper is freely available in NAR.

  • Global analysis of microRNA target gene expression reveals that miRNA targets are lower expressed in mature mouse and Drosophila tissues than in the embryos.
    Zhenbao Yu, Zhaofeng Jian, Shi-Hsiang Shen, Enrico Purisima and Edwin Wang
    Nuclei Acids Research, 35:152-164, 2007

    The paper is freely available in NAR. Picked up by Faculty of 1000 Biology.

  • MicroRNAs preferentially target the genes with high transcriptional regulation complexity.
    Qinghua Cui, Zhenbao Yu, Youlian Pan, Enrico Purisima and Edwin Wang
    Biochem Biophys Res Commun., 352:733-738, 2007

    Abstract , paper and supplementary materials.

2006

2005