A Chromatography-Guided Co-Fractionation Mass Spectrometry Strategy for Rapid Profiling of Drug-Perturbed Protein Complexes

化学 质谱法 色谱法 分馏 药品 仿形(计算机编程) 药理学 计算机科学 医学 操作系统
作者
Wei Liu,Jiayu Tang,Guoquan Yan,Shun Shen,Mingxia Gao,Xiangmin Zhang
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (35): 19146-19156
标识
DOI:10.1021/acs.analchem.5c02702
摘要

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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