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Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
Published on: April 1, 2017
A Chromatography-Guided Co-Fractionation Mass Spectrometry Strategy for Rapid Profiling of Drug-Perturbed Protein
Wei Liu1, Jiayu Tang2, Guoquan Yan2
1Center for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Department of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai 201399, China.
Abstract:
Protein complexes are central to cellular function and respond rapidly to pharmacological perturbations. Co-fractionation mass spectrometry (CoFrac-MS) is widely employed to analyze protein complexes by analyzing individual chromatographic fractions, but it is labor-intensive and slow. To address these challenges, we introduce a chromatography-guided strategy enabling rapid identification of drug-perturbed protein complexes. It combines cross-linking enhanced reversed phase liquid chromatography cofractionation (XL-CoFrac) for high-resolution separation with ChromaQuant, a custom tool for precise peak quantification and differential analysis (https://hplcfdu.shinyapps.io/ChromaQuant/). Subsequent targeted MS analyses, guided by ChromaQuant, collectively establish the XL-CoFrac-Q-MS workflow. In proof-of-concept studies, we first adopted XL-CoFrac to MCF7 cells and profiled representative protein complexes. ChromaQuant demonstrated exceptional precision, achieving coefficients of variation below 1% and replicate correlations exceeding 0.98. Furthermore, we analyzed RS4;11 leukemia cells treated with increasing concentrations of the BCL-2 inhibitor ABT-199 using the XL-CoFrac-Q-MS workflow. Seven chromatographic peaks that changed consistently with the drug concentration were selected to be identified by this approach. MS analysis of these peaks revealed cross-linked peptides from the BCL-2 associated protein complex. Specially, cross-linking peptides between BCL-2 and FKBP38 may shed light on the mechanisms underlying resistance to ABT-199. Further pathway enrichment analysis provides new insights into the molecular mechanisms driving ABT-199 induced apoptosis. Collectively, the XL-CoFrac-Q-MS strategy holds significant potential for broad applications, including rapid screening of drug targets and elucidation of protein complex dynamics across various pharmacological and pathological conditions.
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