Literature DB >> 30981513

Qualitative evaluation of high pH mass spectrometry-compatible reversed phase liquid chromatography for altered selectivity in separations of intact proteins.

Yehia Z Baghdady1, Kevin A Schug2.   

Abstract

Intact proteins are increasingly being recognized as potential biomarkers and biotherapeutic agents for cancer and other serious diseases. Low pH reversed phase plays an important role in both single and multidimensional protein separations for resolving complex protein samples prior to mass spectrometric detection. In this work, we evaluated the use of high pH reversed phase liquid chromatography as an alternative chromatographic separation to gain different selectivity while maintaining the high resolving power and MS compatibility of reversed phase separations. The altered selectivity gained by high pH reversed phase liquid chromatography can further help to separate unresolved protein peaks or to increase peak capacity and resolving power of a multidimensional setup for complex biological samples. Hence, we evaluated the use of different MS-friendly buffers, ion pairing reagents, and stationary phases (silica- and polymer-based) at alkaline pH for intact protein separations. The best chromatographic separation, with complementary selectivity to low pH reversed phase, was achieved using triethylammonium bicarbonate at pH 10 and hybrid silica particles.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Altered selectivity; High pH; Intact proteins; Reversed phase liquid chromatography; Top-down proteomics

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Year:  2019        PMID: 30981513     DOI: 10.1016/j.chroma.2019.04.004

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  1 in total

1.  Deep Intact Proteoform Characterization in Human Cell Lysate Using High-pH and Low-pH Reversed-Phase Liquid Chromatography.

Authors:  Dahang Yu; Zhe Wang; Kellye A Cupp-Sutton; Xiaowen Liu; Si Wu
Journal:  J Am Soc Mass Spectrom       Date:  2019-11-21       Impact factor: 3.109

  1 in total

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