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Analytical Science & Technology (Protein Analytics)
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Towards Better and Safer Proteins
The Protein Analytics group focuses on developing innovative bioanalytical technologies and workflows for the characterisation of protein identities, expression levels, and post-translational modifications (PTMs). We conduct comprehensive protein profiling of product quality attributes (PQAs) to ensure safety and efficacy of complex heterogenous molecules, such as biotherapeutics and alternative proteins. As part of the Analytical Science and Technologies (AS&T) groups, we actively contribute to the application of multi-omics strategy in the evaluation of cellular mechanisms to improve bioprocessing.
Focus Areas
- High-throughput and automated online characterisation methods
- Characterisation of biotherapeutic products or bioprocesses
- Development of new technologies for biotherapeutic analyses
- Next-generation mass spectrometry for protein analytics
- Alternative Proteins attributes characterisation
Our Capabilities
We have a dynamic team with broad range of expertise in MS techniques and protein analytics. Our facility is well-equipped with state-of-the-art MS (Orbitrap, QTOF, MALDI-TOF/TOF) instruments. We help to establish workflows for biotherapeutics PQAs analyses and alternative proteins characterisation, DDA and DIA-MS, labelled and label-free quantitative proteomics, and targeted MS.
MS-based PQA analyses
Comprehensive assays for biotherapeutics
Process profiling
Mechanistic evaluation through in-depth longitudinal proteome profiling
Alternative Proteins Characterisation
Attributes characterisation, anti-nutrients/allergens identification, cultured meat and media profiling
Our Technologies
Simplified and Automatable Sample Preparation Workflow Enables Efficient and Rapid Proteome Profiling and Biotherapeutic PQA Characterisation
- Simplify: reduce processing steps and time, minimize processing artefacts, improve reproducibility and efficiency
- Automatable: facilitate high-throughput biomanufacturing process and product profiling
Streamlined Data-Independent Acquisition Mass Spectrometry (DIA-MS) Workflow for CHO Bioprocessing and HCP Impurities Analysis
- Streamline: enable efficient characterisation of upstream and downstream processes, and quality by design (QbD) in CHO biomanufacturing
- Comprehensive: validated CHO spectral library to achieve sensitive, accurate and robust proteins identification and quantitation across multiple LC-MS instrumental setups
The Team
Our Track Record
Featured Publications
- Chee Fan Tan, Soon Hong Kwan, Chun Shing Lee, Yan Ni Annie Soh , Ying Swan Ho and Xuezhi Bi (2022) Cottonseed Meal Protein Isolate as a New Source of Alternative Proteins: A Proteomics Perspective. International Journal of Molecular Sciences 23: 10105
- Alison P. Lee, Yee Jiun Kok, Meiyappan Lakshmanan, Dawn Leong, Lu Zheng, Hsueh Lee Lim, Shuwen Chen, Shi Ya Mak, Kok Siong Ang, Neil Templeton, Taha Salim, Xiaona Wei, Eric Gifford, Andy Hee‐Meng Tan, Xuezhi Bi, Say Kong Ng, Dong‐Yup Lee, Wai Lam W. Ling and Ying Swan Ho (2021) Multi‐omics profiling of a CHO cell culture system unravels the effect of culture pH on cell growth, antibody titer, and product quality. Biotechnology and Bioengineering 118(11): 4305-4316
- Kae Hwan Sim, Lillian Chia-Yi Liu, Hwee Tong Tan, Kelly Tan, Daniel Ng, Wei Zhang, Yuansheng Yang, Stephen Tate and Xuezhi Bi (2020) A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins. Scientific Data 7(1): 263
- Xuezhi Bi, Lijuan Ye, Ally Lau, Yee Jiun Kok, Lu Zheng, Daniel Ng, Kelly Tan, Dave Ow, Edwin Ananta, Christina Vafiadi and Jeroen Muller (2018) Proteomic Profiling of Barley Spent Grains Guides Enzymatic Solubilization of the Remaining Proteins. Applied Microbiology and Biotechnology 102(9): 4159-4170
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