Chris Song Heng TAN
Associate Professor
Associate Professor

Chris graduated with B.Sc (2001) in Molecular Biology and a M.Sc (2005)in Computer Science from the National University of Singapore. He completed his PhD (2011) training at the University of Toronto with the world leading cell-cell communication and signal transduction expert, the late Prof. Tony Pawson, and made seminal contribution to our understanding of signaling network evolution related to organismal complexity and human diseases (Tan et al. Science 2009; Tan et al. Science Signaling 2009, Tan et al. Nature Method 2012). He subsequently moved to the Center of Molecular Medicine (CeMM) in Vienna, Austria and contributed to the development of a novel MS-based drug target deconvolution technology (Huber et al., Nature Method 2015) based on Cellular Thermal Shift Assay (CETSA). He was invited to join IMCB, A*STAR in 2015 by the inventor of CETSA, Prof. Pär Nordlund, and invented the first system-wide technology for studying the dynamic of protein complexes directly from intact cells and tissues (Tan et al. Science 2018). Chris had published more than 30 articles in international journals and conferences, including first or corresponding authors in Science, Nature Methods, Science Signaling and Bioinformatics journals. He has a H-index of 21 and his work had been highlighted in Science, Nature Genetics Review, Nature Methods, F1000Prime, Science Signaling, ACS Chemical Biology and Cell Systems. He had served as reviewer for Science, Nature Biotechnology, Nature Communication, and Bioinformatics.

Honors & Awards

2016 A*STAR Young Investigator Award

2010 Best PhD Research Award (Jennifer Dorrington Award)University of Toronto

1999 Dean’s List, Faculty of Science, National University of Singapore

2018.05-2021.04Singapore Industry Alignment FundToxicity Mode-of-Action Discovery (ToxMAD) Platform

2018.02-2019.01, Singapore A*STAR-EDB Industry Alignment FundStudy the Modes-of-Action (MoA) of Phthalates and Diketones using Toxicity MoA Discovery (ToxMAD) platform

2016.05- 2019.04, Singapore A*STAR Young Investigator AwardThermal Proximity-based Co-Aggregation for System-level Monitoring of Protein Complexes in Primary and Non-engineered Cells


1. C.S.H. Tan*, K.D. Go, X. Bisteau, L. Dai, C.H. Yong, N. Prabhu, M.B. Ozturk, Y.T. Lim, L. Sreekumar, J. Lengqvist, V. Tergaonkar, P. Kaldis, R.M. Sobota, P. Nordlund*. Thermal proximity coaggregation for system-wide profiling of protein complex dynamics in cells[J], Science, 2018, 359(6380)
2. C.S.H. Tan, A. Pasculescu, W.A. Lim, T. Pawson*, G.D Bader* R. Linding*, Positive selection of tyrosine loss in metazoan evolution[J], Science, 2009, 325 (5948): 1686-8
3. C.S.H. Tan#, B. Bodenmiller#, A. Pasculescu, M. Jovanovic, M.O. Hengartner, C. Jørgensen, G.D. Bader, R. Aebersold, T. Pawson, R. Linding*, Comparative Analysis Reveals Conserved Protein Phosphorylation Networks Implicated in Multiple Diseases[J], Science Signaling, 2009, 2(81):ra39-ra39
4. C.S.H. Tan*, Sequence, Structure, and Network Evolution of Protein Phosphorylation[J], Science Signaling, 2011, 4(182):mr6,
5. K. V. Huber*, K.M. Olek, A.C. Müller, C.S.H Tan, K.L. Bennett, J. Colinge*, G. Superti-Furga*, Proteome-wide drug and metabolite interaction mapping by thermal-stability profiling[J], Nature Methods, 2015, 12(11): 1055
6. C.S.H. Tan*, G.D. Bader, Phosphorylation sites of higher stoichiometry are more conserved[J], Nature Methods, 2012, 9(4):317
7. Tan S H#*, Zhang Z#, Ng S K, ADVICE: Automated Detection and Validation of Interaction by Co-Evolution[J], Nucleic Acids Research, 2004, 32(Web Server): W69-W72
8. C.S.H. Tan#*, W. Hugo#*, W.K. Sung* and S.K. Ng*, A correlated motif approach for finding short linear motifs from protein interaction networks[J], BMC Bioinformatics, 2006, 7(1):502-0
9. X. Shao#, C.S.H. Tan#, C. Voss, S.S.C. Li, N. Deng#, G.D. Bader*, A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequences[J], Bioinformatics, 2011, 27 (3): 383-390
10. Y.T. Lim#, N. Prabhu#, L. Dai, K.D#. Go, D. Chen, L. Sreekumar, L. Egeblad, S. Eriksson, L. Chen, S. Veerappan, H.L. Teo, C.S.H. Tan, J. Lengqvist, A. Larsson, R.M. Sobota*, P. Nordlund*, An efficient proteome-wide strategy for discovery and characterization of cellular nucleotide-protein interactions[J], PLOS ONE, 2018, 12 (12):e0208273
11. C.S.H. Tan, C. Jørgensen, R. Linding*, Roles of “junk phosphorylation” in modulating biomolecular association of phosphorylated proteins?[J], Cell Cycle, 2010, 9(7):1276-1280
12. C.S.H. Tan, R. Linding*. Experimental and computational tools useful for (re)construction of dynamic kinaseâ substrate networks[J], Proteomics, 2009, 9(23):5233-5242
13. S.K. Ng*, Z. Zhang and S.H. Tan, Integrative approach for computationally inferring protein domain interactions[J], Bioinformatics, 2003, 19(8):923-929
14. S.K. Ng*, Z. Zhang and S.H. Tan, K. Lin, InterDom: a database of putative interacting protein domains for validating predicted protein interactions and complexes[J], Nucleic Acids Research, 2003, 31(1):251-254
15. G. Zhou*, D. Shen, J. Zhang, J. Su, S.H. Tan, C.L. Tan, Recognition of protein and gene names from text using an ensemble of classifiers and effective abbreviation resolution[J], BMC Bioinformatics, 2004, 6(Suppl 1):S7
16. Z. Aung*, S.H. Tan, S.K. Ng and K.L. Tan, PPiClust: Efficient clustering of 3D protein-protein interaction interfaces[J], Journal of Bioinformatics & Computational Biology, 2008, 6(3):415-433
17. M.A.T.M. van Vugt, A.K. Gardino, R. Linding, G.J. Ostheimer, H.C. Reinhardt, S.-E. Ong, C.S.H. Tan, H. Miao, S.M. Keezer, J. Li, T. Pawson, T.A. Lewis, S.A. Carr, S.J. Smerdon, T.R. Brummelkamp, M.B. Yaffe*, A Mitotic Phosphorylation Feedback Network Connects Cdk1, Plk1, 53BP1, and Chk2 to Inactivate the G2/M DNA Damage Checkpoint[J], PLoS Biology, 2010, 8(1):e1000287
18. C. Xu#, J. Jin#, C. Bian, R. Lam, R. Tian, R. Weist, L. You, J. Nie, A. Bochkarev, W. Tempel, C.S.H. Tan, G.A. Wasney, M. Vedadi, G.D. Gish, C.H. Arrowsmith, T. Pawson, X.J. Yang, J. Min*, Sequence-Specific Recognition of a PxLPxI/L Motif by an Ankyrin Repeat Tumbler Lock[J], Science Signaling, 2012, 5(226):ra39-ra39
19. B. Herdy, T. Karonitsch, G.I. Vladimer, C.S.H Tan, A. Stukalov, C. Trefzer, J.W. Bigenzahn, T. Theil, J. Holinka, H.P. Kiener, J. Colinge, K.L. Bennett, G. Superti-Furga*, The RNA-binding protein HuRELAVL1 regulates IFN-βmRNA abundance and the type I IFN response[J], European Journal of Immunology, 2015, 45(5)1500-1511