Literature DB >> 10918364

Electrophoretic mobility-assisted identification of proteins by nanoelectrospray capillary electrophoresis/mass spectrometry under methanolic conditions.

H Katayama1, Y Ishihama, Y Oda, N Asakawa.   

Abstract

A novel method for electrophoretic mobility-assisted identifications of proteins, using capillary electrophoresis/mass spectrometry (CE/MS) under methanolic conditions, was developed. The number of functional groups of the enzymatic digest peptides was estimated from a single run CE/MS analysis and utilized as an additional tag for database searching in addition to the mass map of the peptides. The additional amino acid information thus obtained can improve the confidence level of the protein identification. The database searching software algorithm ProFound was modified to accept the tag, based on this new concept. In this study, optimization of the CE/MS conditions for the estimation of basic functional groups was performed as an example. An accurate value of the number of such functional groups was obtained from CE characteristics when methanolic buffer (methanol/formic acid/water = 60:20:20) was used, via an excellent correlation (r = 0.997) between the number of functional groups of the peptides and [MW((2/3))]. The mass spectrometry sensitivity was also improved when using the methanolic buffer in comparison with that obtained using aqueous 1% formic acid buffer. The identification of a protein of Saccharomyces cerevisiae, which was separated by two-dimensional electrophoresis, was performed using the methanolic buffer in combination with sheathless nanoelectrospray CE/MS. A protein spot that had not been identified by MALDI-TOFMS and LC/MS/MS was successfully identified using this new method. Copyright 2000 John Wiley & Sons, Ltd.

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Year:  2000        PMID: 10918364     DOI: 10.1002/1097-0231(20000730)14:14<1167::AID-RCM5>3.0.CO;2-R

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  2 in total

1.  Predicting Electrophoretic Mobility of Tryptic Peptides for High-Throughput CZE-MS Analysis.

Authors:  Oleg V Krokhin; Geoffrey Anderson; Vic Spicer; Liangliang Sun; Norman J Dovichi
Journal:  Anal Chem       Date:  2017-01-19       Impact factor: 6.986

2.  Predicting Electrophoretic Mobility of Proteoforms for Large-Scale Top-Down Proteomics.

Authors:  Daoyang Chen; Rachele A Lubeckyj; Zhichang Yang; Elijah N McCool; Xiaojing Shen; Qianjie Wang; Tian Xu; Liangliang Sun
Journal:  Anal Chem       Date:  2020-02-17       Impact factor: 6.986

  2 in total

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