Biography

Biography: Dr Rune Linding is Guest Professor and Research Group Leader for the Cellular Signal Integration Group (C-SIG) at the Technical University of Denmark (DTU), Center for Biological Sequence Analysis (CBS), Department of Systems Biology, Denmark. He performed his graduate work at the EMBL (Germany), where he pioneered computational analysis of cell signaling by developing popular tools like ELM, GlobPlot and DisEMBL for analysing post-translational modifications, intrinsic protein disorder and modularity of signaling proteins. Dr Linding was Human Frontiers Science Program Postdoctoral Research Fellow jointly with Profs Tony Pawson and Mike Yaffe at Samuel Lunenfeld Research Institute (SLRI, Canada) and Massachusetts Institute of Technology (MIT, USA), respectively. His postdoctoral work on the cellular phosphorylation networks and development of the NetworKIN algorithm pioneered Integrative Network Biology and led to the discovery of the quantitative importance of contextual kinase specificity [1]. He started his own lab (the Cellular & Molecular Logic Team) at The Institute of Cancer Research (ICR) in London in 2007. At ICR his lab unravelled systems-level models of JNK and EphR kinase networks [2,3], demonstrated a link between specificity and oncogenecity of kinases [4] and introduced the concept of Network Medicine. Dr Linding leads the NetPhorest community resource [4] and have pioneered comparative phospho-proteomics and evolutionary studies of signalling networks [5,6,7]. Dr Linding founded the Integrative Network Biology initiative (INBi) which aims to block cancer metastasis by integration of large-scale, high-dimensional quantitative genomic, proteomic and phenotypic data. His lab moved to DTU/Denmark in 2011 and the long-term focus of his research group is on studying cellular signal processing and decision making.

Selected References: 

1. Linding et al., Cell 2007.
2. Bakal et al., Science 2008.
3. Jørgensen et al., Science 2009.
4. Miller et al., Science Signaling 2008.
5. Tan et al., Science Signaling 2009.
6. Tan et al., Science 2009.
7. Tan et al., Science 2011.