Limitation of predictive 2-D liquid chromatography in reducing the database search space in shotgun proteomics: in silico studies |
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Authors: | Eugene Moskovets Anton A Goloborodko Alexander V Gorshkov Mikhail V Gorshkov |
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Institution: | MassTech Inc., Columbia, Maryland, USA. |
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Abstract: | A two-dimensional (2-D) liquid chromatography (LC) separation of complex peptide mixtures that combines a normal phase utilizing hydrophilic interactions and a reversed phase offers reportedly the highest level of 2-D LC orthogonality by providing an even spread of peptides across multiple LC fractions. Matching experimental peptide retention times to those predicted by empirical models describing chromatographic separation in each LC dimension leads to a significant reduction in a database search space. In this work, we calculated the retention times of tryptic peptides separated in the C18 reversed phase at different separation conditions (pH 2 and pH 10) and in TSK gel Amide-80 normal phase. We show that retention times calculated for different 2-D LC separation schemes utilizing these phases start to correlate once the mass range of peptides under analysis becomes progressively narrow. This effect is explained by high degree of correlation between retention coefficients in the considered phases. |
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Keywords: | 2‐D LC Database search HILIC Proteomics Retention time prediction |
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