Evaluation and optimization of reduction and alkylation methods to maximize peptide identification with MS-based proteomics.

Evaluation and optimization of reduction and alkylation methods to maximize peptide identification with MS-based proteomics.
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DOI:
10.1039/c7mb00393e
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发表时间:
2017-11-21
影响因子:
--
通讯作者:
Wu R
Wu R
中科院分区:
生物3区
文献类型:
--
作者:
Suttapitugsakul S;Xiao H;Smeekens J;Wu R

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Mass spectrometry (MS) has become an increasingly important technique to analyze proteins. In popular bottom-up MS-based proteomics, reduction and alkylation are routine steps to facilitate peptide identification. However, the reaction incompletion and side reactions may occur, which compromise the experimental results. In this work, we systematically evaluated the reduction step with the commonly used reagents, i.e., dithiothreitol, 2-mercaptoethanol, tris(2-carboxyethyl)phosphine, or tris(3-hydroxypropyl)phosphine, and alkylation with iodoacetamide, acrylamide, N-ethylmaleimide, or 4-vinylpyridine. By using digested peptides from a yeast whole-cell lysate, the number of proteins and peptides identified were very similar using four different reducing reagents. The results from four alkylating reagents, however, were dramatically different with iodoacetamide giving the highest number of peptides with alkylated cysteine and the lowest number of peptides with incomplete cysteine alkylation and side reactions. Alkylation conditions with iodoacetamide were further optimized. To identify more peptides with cysteine, Thiopropyl-Sepharose 6B resins were used to enrich them, and the optimal conditions were employed for the reduction and alkylation. The enrichment resulted in over three times more cysteine-containing peptides than without enrichment. Systematic evaluation of the reduction and alkylation with different reagents can aid in a better design of bottom-up proteomic experiments.
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