Proteomics Laboratory for Translational Research

My group is focused on developing omics technologies to address intractable biomedical research problems that cannot be resolved using conventional methods, aiming to generate innovative data that can directly improve human health and medical practice. Our efforts are centered around the study of age-related diseases including cancer, heart disease, stroke/dementia and diabetes, which together account for > 60% of deaths each year. Although these diseases include multiple sub-pathologies with distinct etiologies, they are characterized by a period/s of low-oxygen stress (ischemia or hypoxia) that critically influence disease progression. We therefore seek to determine how cells and tissues respond to low-oxygen stress and aging of variable duration using a variety of cell lines, animal models and patient samples. This novel strategy has enabled us to build a highly successful biomedical research program that has uncovered biomarkers and therapeutic targets in a wide range of disorders.

Newman Siu Kwan SzeLEAD PI
Sze Siu Kwan

Associate Professor
Phone:(65) 6514 1006
Office: SBS-03N-37
Arada Vinaiphat
Research Fellow

Ng Ser Sue
Research Fellow

Ngan So Fong Cam
Project Officer (PT)

Ken Liou Cheng Kang
Research Assistant

Lee Sian Teck Benjamin
PhD Student

Nikhil Gupta
PhD Student

Tan Chee Fan
Graduate Student



  • Age damaged proteins gain integrin-binding function to promote atherosclerosis and thrombosis in CVD - translating to clinical applications
  • in vivo study diabetic vascular complications using DISDIVO method in inducible T2DM rodent models
  • Defining how brain tissue-derived exosomes promote experimental and human dementia
  • Preclinical development of a cancer immunotherapy targeting tumour exosomes/EVs
  • Study Early Asymptomatic Molecular Pathology Of Neurodegeneration In Dementia: Proteomic Identification Of Priority Drug Targets
Full list of publications can be fo​und here
  • Sze, S. K., Artificially intelligent proteomics improves cardiovascular risk assessment. EBioMedicine 2019. (Impact Factor = 6.183)
  • Gallart-Palau, X.; Serra, A.; Hase, Y.; Tan, C. F.; Chen, C. P.; Kalaria, R. N.; Sze, S. K., Brain-derived and circulating vesicle profiles indicate neurovascular unit dysfunction in early Alzheimer's disease. Brain Pathol 2019. (Impact Factor = 6.187)
  • Serra, A.; Gallart-Palau, X.; Park, J. E.; Lim, G. G. Y.; Lim, K. L.; Ho, H. H.; Tam, J. P.; Sze, S. K., Vascular Bed Molecular Profiling by Differential Systemic Decellularization In Vivo. Arterioscler Thromb Vasc Biol 2018, 38, (10), 2396-2409. (Impact Factor = 6.607)
  • Park, J. E.; Dutta, B.; Tse, S. W.; Gupta, N.; Tan, C. F.; Low, J. K.; Yeoh, K. W.; Kon, O. L.; Tam, J. P.; Sze, S. K., Hypoxia-induced tumor exosomes promote M2-like macrophage polarization of infiltrating myeloid cells and microRNA-mediated metabolic shift. Oncogene 2019. (Impact Factor = 6.854)
  • Park, J. E.; Tse, S. W.; Xue, G.; Assisi, C.; Maqueda, A. S.; Ramon, G. P. X.; Low, J. K.; Kon, O. L.; Tay, C. Y.; Tam, J. P.; Sze, S. K., Pulsed SILAC-based proteomic analysis uncovers hypoxia- and serum-starvation- induced de novo protein synthesis with PHD finger protein 14 (PHF14) as a hypoxia sensitive epigenetic regulator in cell cycle. Oncotarget 2019, In press. (Impact Factor = 5.168)
  • Gallart-Palau, X.; Serra, A.; Lee, B. S. T.; Guo, X.; Sze, S. K., Brain ureido degenerative protein modifications are associated with neuroinflammation and proteinopathy in Alzheimer's disease with cerebrovascular disease. J Neuroinflammation 2017, 14, 175. (Impact Factor = 5.102)
  • Dutta, B.; Park, J. E.; Kumar, S.; Hao, P.; Gallart-Palau, X.; Serra, A.; Ren, Y.; Sorokin, V.; Lee, C. N.; Ho, H. H.; de Kleijn, D.; Sze, S. K., Monocyte adhesion to atherosclerotic matrix proteins is enhanced by Asn-Gly-Arg deamidation. Sci Rep 2017, 7, 5765. (Impact Factor = 4.259)
  • Serra, A.; Gallart-Palau, X.; Wei, J.; Sze, S. K., Characterization of Glutamine Deamidation by Long-Length Electrostatic Repulsion-Hydrophilic Interaction Chromatography-Tandem Mass Spectrometry (LERLIC-MS/MS) in Shotgun Proteomics. Anal Chem 2016, 88, 10573-10582. (Impact Factor = 6.320)
  • Cheow, E. S.; Cheng, W. C.; Lee, C. N.; de Kleijn, D.; Sorokin, V.; Sze, S. K., Plasma-derived Extracellular Vesicles Contain Predictive Biomarkers and Potential Therapeutic Targets for Myocardial Ischemic (MI) Injury. Mol Cell Proteomics 2016, 15, 2628-40. (Impact Factor = 6.540)
  • Hao, P.; Adav, S. S.; Gallart-Palau, X.; Sze, S. K., Recent advances in mass spectrometric analysis of protein deamidation. Mass Spectrom Rev 2017, 36, 677-692. (Impact Factor = 9.373)