Articles by Zheng Ser

In JoVE (1)

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Other Publications (1)

Analytical Chemistry

Articles by Zheng Ser in JoVE

Biology

A Strategy for Sensitive, Large Scale Quantitative Metabolomics Xiaojing Liu¹, Zheng Ser¹, Ahmad A. Cluntun^1,2, Samantha J. Mentch^1,2, Jason W. Locasale^1,2 ¹Division of Nutritional Sciences, Cornell University, ²Field of Biochemistry, and Molecular Cell Biology, Cornell University Metabolite profiling has been a valuable asset in the study of metabolism in health and disease. Utilizing normal-phased liquid chromatography coupled to high-resolution mass spectrometry with polarity switching and a rapid duty cycle, we describe a protocol to analyze the polar metabolic composition of biological material with high sensitivity, accuracy, and resolution.

Other articles by Zheng Ser on PubMed

Development and Quantitative Evaluation of a High-resolution Metabolomics Technology Analytical Chemistry. Feb, 2014 | Pubmed ID: 24410464 Recent advances in mass spectrometry have allowed for unprecedented characterization of human metabolism and its contribution to disease. Despite these advances, limitations in metabolomics technology remain. Here, we describe a metabolomics strategy that consolidates several recent improvements in mass spectrometry technology. The platform involves a high-resolution Orbitrap mass spectrometer coupled to faster scanning speeds, allowing for polarity switching and improved ion optics resulting in enhanced sensitivity. When coupled to HILIC chromatography, we are able to quantify over 339 metabolites from an extract of HCT8 cells with a linear range of over 4 orders of magnitude in a single chromatographic run. These metabolites include diverse chemical classes ranging from amino acids to polar lipids. In addition, we also detect over 3000 additional potential metabolites present in mammalian cells. We applied this platform to characterize the metabolome of eight colorectal cancer cell lines and observed both commonalities and heterogeneities across their metabolic profiles when cells are grown in identical conditions. Together these results demonstrate that simultaneous profiling and quantitation of the human metabolome is feasible.