Author:
Woo Jongmin,Clair Geremy C.,Williams Sarah M.,Feng Song,Tsai Chia-Feng,Moore Ronald J.,Chrisler William B.,Smith Richard D.,Kelly Ryan T.,Pasa-Tolic Ljiljana,Ansong Charles,Zhu Ying
Abstract
AbstractUnbiased single-cell proteomics (scProteomics) promises to advance our understanding of cell functions within complex biological systems. However, a major challenge for current methods is their ability to identify and provide accurate quantitative information for low abundance proteins. Herein, we describe an ion mobility-enhanced mass spectrometry acquisition and peptide identification method, TIFF (Transferring Identification based on FAIMS Filtering), designed to improve the sensitivity and accuracy of label-free scProteomics. TIFF significantly extends the ion accumulation times for peptide ions by filtering out singly charged background ions. The peptide identities are then assigned by a 3-dimensional MS1 feature matching approach (retention time, accurate mass, and FAIMS compensation voltage). The TIFF method enabled unbiased proteome analysis to a depth of >1,700 proteins in single HeLa cells with >1,100 proteins consistently quantified. As a demonstration, we applied the TIFF method to obtain temporal proteome profiles of >150 single murine macrophage cells during a lipopolysaccharide stimulation experiment and identified time-dependent proteome profiles.
Publisher
Cold Spring Harbor Laboratory
Cited by
2 articles.
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