Characterization and usage of the EASY-spray technology as part of an online 2D SCX-RP ultra-high pressure system

Fabio Marino, Alba Cristobal, Nadine A Binai, Nicolai Bache, Albert J R Heck, Shabaz Mohammed

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Ultra-high pressure liquid chromatography (UHPLC) systems combined with state-of-the-art mass spectrometers have pushed the limit of deep proteome sequencing to new heights making it possible to identify thousands of proteins in a single LC-MS experiment within a few hours. The recently released EASY-spray technology allows one to implement nano-UHPLC with straightforwardness. In this work we initially characterized the EASY-spray containing a 50 cm column containing <2 μm particles and found that the system allowed 3000 proteins to be identified in 90 minutes. We then asked the question whether a fast and sensitive online 2D SCX-RP UHPLC-MS/MS workflow could compete with 1D long gradient analyses, using total analysis time versus proteome coverage and sample usage as benchmark parameters. The 2D LC-MS strategy consisted of the EASY-spray system that had been augmented by the addition of an SCX column. The conversion was made facile since no additional valves were required and by the use of components containing viper fittings. We benchmarked the system using a human cell lysate digest (<10 μg). The 2D SCX-RP UHPLC-MS/MS workflow allowed the identification of almost 37,000 unique peptides and 6000 proteins in a total analysis time of ~7 hours. On the same system a 1D RP UHPLC-MS/MS workflow plateaued at only 20,000 peptides and 4400 unique proteins and required approx. 8 hours of analysis time. Furthermore, the 2D workflow could continue to increase the proteome coverage with longer analysis times, in fact with a 21 hour analysis we identified 56,600 unique peptides and >7500 proteins. We report, here, that with this fast online SCX-RP UHPLC-MS/MS workflow, the proteome coverage can be substantially extended without significantly compromising the analysis time and sample usage.

Original languageEnglish
Pages (from-to)6520-8
Number of pages9
JournalAnalyst
Volume139
Issue number24
DOIs
Publication statusPublished - 21 Dec 2014

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