Parallel Analysis of Acidic and Basic Proteoforms in Cell Lysates via Native Cation and Anion Exchange Chromatography—Native Mass Spectrometry

Comprehensive characterization of proteoforms in complex biological systems remains a significant challenge. While native ion-exchange chromatography (IEC) hyphenated with native mass spectrometry (nMS) is a powerful tool for resolving proteoforms, three critical limitations persist: restricted volatile buffers causing nonlinear pH gradients; insufficient coverage of the proteome's broad isoelectric point (pI) range; and inadequate sensitivity for low-abundance proteins. To bridge this gap, we developed an online nanoflow dual IEC-nMS platform. Volatile salt systems for strong anion (SAX) and cation exchange (SCX) were optimized to achieve exceptionally wide and linear pH ranges (2.6-5.0 for SAX and 5.0-8.5 for SCX). These methods were implemented on self-packed 100 µm ID capillary columns at 500 nL/min to enhance sensitivity. To enable simultaneous analysis of acidic and basic species, we introduced a double-barrel column configuration that integrates nanoSAX and nanoSCX in a noninterfering, parallel manner. This platform was applied to an E. coli cell lysate, identifying 301 unique proteoform masses (D-score > 40) ranging from 10 to 150 kDa (with about 120> 50 kDa). Notably, the two modes were highly complementary, with only 10 overlapping species. The double-barrel nanoflow IEC-nMS platform provides a robust, sensitive, and high-resolution strategy for native top-down proteomics, enabling in-depth study of complex proteomes.

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Journal
PROTEOMICS
Published
2026-04-21
DOI
https://doi.org/10.1002/pmic.70134
Primary Topic
Mass Spectrometry Techniques and Applications
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article
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article

Parallel Analysis of Acidic and Basic Proteoforms in Cell Lysates via Native Cation and Anion Exchange Chromatography—Native Mass Spectrometry

Ziran Zhai, Matteo Damian, Francesco G. Mutti, Hafsa Zakri et al.
PROTEOMICS
Mass Spectrometry Techniques and Applications
article

Parallel Analysis of Acidic and Basic Proteoforms in Cell Lysates via Native Cation and Anion Exchange Chromatography—Native Mass Spectrometry

Ziran Zhai, Matteo Damian, Francesco G. Mutti, Hafsa Zakri, Garry Corthals, Andrea F. G. Gargano
article en

Abstract

Comprehensive characterization of proteoforms in complex biological systems remains a significant challenge. While native ion-exchange chromatography (IEC) hyphenated with native mass spectrometry (nMS) is a powerful tool for resolving proteoforms, three critical limitations persist: restricted volatile buffers causing nonlinear pH gradients; insufficient coverage of the proteome's broad isoelectric point (pI) range; and inadequate sensitivity for low-abundance proteins. To bridge this gap, we developed an online nanoflow dual IEC-nMS platform. Volatile salt systems for strong anion (SAX) and cation exchange (SCX) were optimized to achieve exceptionally wide and linear pH ranges (2.6-5.0 for SAX and 5.0-8.5 for SCX). These methods were implemented on self-packed 100 µm ID capillary columns at 500 nL/min to enhance sensitivity. To enable simultaneous analysis of acidic and basic species, we introduced a double-barrel column configuration that integrates nanoSAX and nanoSCX in a noninterfering, parallel manner. This platform was applied to an E. coli cell lysate, identifying 301 unique proteoform masses (D-score > 40) ranging from 10 to 150 kDa (with about 120> 50 kDa). Notably, the two modes were highly complementary, with only 10 overlapping species. The double-barrel nanoflow IEC-nMS platform provides a robust, sensitive, and high-resolution strategy for native top-down proteomics, enabling in-depth study of complex proteomes.

PROTEOMICS
Amsterdam University of Applied Sciences (NL), University of Amsterdam (NL)
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Openalex Percentile: Top 9%
Mass Spectrometry Techniques and Applications
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Parallel Analysis of Acidic and Basic Proteoforms in Cell Lysates via Native Cation and Anion Exchange Chromatography—Native Mass Spectrometry — Ziran Zhai, Matteo Damian, et al. · PROTEOMICS (2026) | TGRS Research Map | TGRS