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Expert Rev Proteomics. 2014 Dec;11(6):675-84. doi: 10.1586/14789450.2014.971114. Epub 2014 Oct 18.

Biomedical applications of ion mobility-enhanced data-independent acquisition-based label-free quantitative proteomics.

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Institute of Immunology, University Medical Center of the Johannes-Gutenberg University Mainz, Langenbeckstr. 1, 55131 Mainz, Germany.


Mass spectrometry-based proteomics greatly benefited from recent improvements in instrument performance and the development of bioinformatics solutions facilitating the high-throughput quantification of proteins in complex biological samples. In addition to quantification approaches using stable isotope labeling, label-free quantification has emerged as the method of choice for many laboratories. Over the last years, data-independent acquisition approaches have gained increasing popularity. The integration of ion mobility separation into commercial instruments enabled researchers to achieve deep proteome coverage from limiting sample amounts. Additionally, ion mobility provides a new dimension of separation for the quantitative assessment of complex proteomes, facilitating precise label-free quantification even of highly complex samples. The present work provides a thorough overview of the combination of ion mobility and data-independent acquisition-based label-free quantification LC-MS and its applications in biomedical research.


HDMSE; MSE; biomedical research; data-independent acquisition; high definition mass spectrometry; ion mobility separation; label-free quantification; proteomics

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