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Published on: November 15, 2017
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Alternative Ion-Pairing Modifiers Should Be Investigated in Low-Input and Single-Cell Proteomics.
Colten D Eberhard1, Cameron Braswell2, Benjamin C Orsburn2
1The Department of Pharmacology and Molecular Sciences The Johns Hopkins University School of Medicine,Baltimore, Maryland 21205, United States.
Journal of Proteome Research
|November 24, 2025
Summary
Acetic acid (AA) significantly enhances peptide signal and proteome coverage in low-input proteomics. This alternative modifier improves protein identification and quantification, especially for single-cell analysis.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Shotgun proteomics traditionally uses formic acid (FA) as an ion pairing modifier.
- Limited material in single-cell proteomics necessitates optimized analytical methods.
- Acetic acid (AA) has shown potential for increased peptide signal.
Purpose of the Study:
- To investigate acetic acid (AA) as an alternative ion pairing modifier for low-input and single-cell proteomics.
- To evaluate the impact of AA on proteome coverage and signal enhancement at subnanogram levels.
- To assess the reproducibility and quantification improvements offered by AA.
Main Methods:
- Analysis of subnanogram proteome dilutions and single cancer cells using liquid chromatography-tandem mass spectrometry.
- Comparison of 0.5% acetic acid (AA) with 0.1% formic acid (FA) as ion pairing modifiers.
- Evaluation of peptide signal, proteome coverage, quantification accuracy (%CVs), and scan times.
Main Results:
- Acetic acid (AA) consistently increased proteome coverage across all peptide loads assessed, with a 1.8-fold increase at 20 pg peptide digest.
- AA enabled a 1.7x increase in scans per peak by reducing ramp times, improving quantification accuracy.
- Analysis of single cancer cells identified ~13% more peptide groups using AA compared to FA.
Conclusions:
- Acetic acid (AA) is a superior ion pairing modifier for low-input and single-cell proteomics, enhancing signal and coverage.
- The use of AA allows for reduced analysis times and improved quantification in complex proteomic samples.
- Re-evaluation of ion pairing modifiers and additives is recommended for optimizing low-input proteomic workflows.

