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Novel strategy of high-abundance protein depletion using multidimensional liquid chromatography
Authors:Gao Mingxia  Zhang Jie  Deng Chunhui  Yang Pengyuan  Zhang Xiangmin
Institution:Department of Chemistry and Research Center of Proteome, Fudan University, Shanghai 200433, China.
Abstract:In this study, for the first time, a comprehensive two-dimensional (2D) liquid-phase separation system, coupling strong cation exchange chromatography (SCX) to reversed-phase high performance liquid chromatography (RPLC), instead of specificity depletion method, was developed at the intact protein level for depletion of high-abundance proteins from rat liver. Proteins were prefractionated by SCX in the first dimensional separation, followed by RPLC with high resolution separation. UV absorption intensity was used to differentiate high-abundance proteins. The proteins with the absorbance intensity above 0.1 AU were defined as high abundance proteins and depleted. After removal of high-abundance proteins; other proteins were pooled, digested, and subsequently separated by capillary liquid chromatography coupled with MALDI-TOF/TOF mass spectrometry analysis. The high efficiency of the strategy was demonstrated by analyzing the soluble protein extracted from rat liver tissue. In total, 77 high-abundance proteins were depleted in one experiment flow. The ratio of depleted content of high-abundance proteins to that of total proteins was about 34.5%. In total, 1530 proteins were identified using the depletion strategy. Quantitative estimation of high-abundance proteins through liquid chromatography combined with UV absorption spectra was achieved. On the basis of the reproducible experimental results, a rapid and high-throughput depletion protocol was put forward. Along with depletion of the most (79.1%) high-abundance proteins and the separation of digested peptides, the total separation time could be less than 30 h. This strategy has no bias for depleting high-abundance proteins and enhances the number of identified proteins; therefore, it can be widely used in the global proteins analysis.
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