【​学术讲座】Chris Soon Heng TAN:Mapping Biomolecular Interaction at Scale with Protein Cellular Biophysics and Protein Mass Spectrometry

发布日期:2025-06-13     浏览次数:次   

学术讲座

报告题目:Mapping Biomolecular Interaction at Scale with Protein Cellular Biophysics and Protein Mass Spectrometry

报告时间:2025-06-18 16:00

报告人: Chris Soon Heng TAN

南方科技大学

报告地点:卢嘉锡楼202报告厅

转播地点:翔安校区能源材料大楼3号楼会议室2,漳州校区生化主楼307教室

报告摘要:

The interaction of proteins with metabolites and other proteins underlies most if not all cellular activities, while many bioactive xenobiotics perturb cellular processes through direct physical interactions with proteins. Mapping these biomolecular interactions can help unravel the complex protein machines and molecular pathways underlying various cellular processes, and unveil wiring of the cells that are dysregulated in diseases and perturbed by chemicals. Nevertheless, there are currently limited time- and cost-effective techniques for profiling intracellular protein-protein and protein-chemical interactions at scale and in situ. My laboratory integrates methods in computational sciences, analytical chemistry and molecular biology with new cellular protein biophysics techniques for large-scale profiling of biomolecular interactions. Tedious chemical derivatization and genetic engineering are avoided which facilitate rapid deployment of our methods for systematic investigation of various biological phenomena including deciphering the mechanism-of-action of bioactive chemicals and therapeutic agents. I will describe these methods developed in my laboratory, as well as our recent findings deploying them for proteome-wide screens for proteins and their interactions perturbed by microproteins, natural products and FDA approved drugs.

报告人简介:

Chris graduated with a B.Sc. in Molecular Biology and a M.Sc. in Computer Science from the National University of Singapore, and completed his PhD training with the late Tony Pawson at the University of Toronto, Canada. There, he made seminal contribution to our understanding of signaling network evolution in human diseases and organismal complexity (Tan et al. Science 2009; Tan et al. Science Signaling 2009, Tan et al. Nature Method 2012). He completed his postdoctoral training at the Center of Molecular Medicine in Vienna, Austria where he was exposed to mass spectrometry, chemical proteomics, and academic drug discovery. Prior joining the Southern University of Science & Technology at Shenzhen, China as an Associate Professor, Chris led a research group as a joint independent fellow (group leader) in Institute of Molecular & Cell Biology and Bioinformatics Institute (IMCB & BII, A*STAR, Singapore) where he invented arguably the first system-wide approach for monitoring protein complex dynamics in cell (Tan et al, 2018). Armed with knowledge in data science with tools in chemical and network biology for elucidating mode-of-action of drugs and toxic chemicals, he is an advocate of phenotypic drug discovery for uncovering novel therapeutic approaches and new biology, with works published in journals of diverse disciplines (ACS Central Science, Analytical Chemistry, Bioinformatics,  Briefings in Bioinformatics, Cell Chemical Biology, Chemical Science, Cancer Discovery, Nature Communication, Science)


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