Systematic mapping of protein-metabolite interactions with mass spectrometry-based techniques

Shanshan Li; Wenqing Shui

doi:10.1016/j.copbio.2019.09.002

Systematic mapping of protein-metabolite interactions with mass spectrometry-based techniques

Curr Opin Biotechnol. 2020 Aug:64:24-31. doi: 10.1016/j.copbio.2019.09.002. Epub 2019 Oct 10.

Authors

Shanshan Li¹, Wenqing Shui²

Affiliations

¹ iHuman Institute, ShanghaiTech University, 201210, Shanghai, China.
² iHuman Institute, ShanghaiTech University, 201210, Shanghai, China; School of Life Science and Technology, ShanghaiTech University, 201210, Shanghai, China. Electronic address: shuiwq@shanghaitech.edu.cn.

PMID: 31606719
DOI: 10.1016/j.copbio.2019.09.002

Abstract

The recent rapid advance of systematic mapping of protein-metabolite interactions (PMIs) in both prokaryotic and eukaryotic cells has been catalyzed by development of innovative and effective proteomics or metabolomics strategies all based on large-scale mass spectrometry (MS) analysis of biomolecules. Both metabolite-centric and protein-centric approaches have been established to profile PMIs in the native cellular matrix treated by specific metabolites or proteins. Here we will review the development and application of versatile MS-based proteomics and metabolomics techniques for global PMI mapping in different species, which lead to the discovery of numerous uncharacterized PMIs that may reveal new interaction-derived functionality. We further discuss the strengths and limitations of different PMI mapping approaches as well as the key elements in MS quantification and data mining for reliable PMI identification.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.
Review

MeSH terms

Data Mining
Mass Spectrometry
Metabolomics*
Proteomics*