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Deep ubiquitination site profiling by single-shot data-independent acquisition mass spectrometry

Martin Steger, Phillip Ihmor, Mattias Backman, Stefan Müller, Henrik Daub
doi: https://doi.org/10.1101/2020.07.23.218651
Martin Steger
1Evotec München GmbH, Am Klopferspitz 19a, Martinsried, Germany
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  • For correspondence: martin.steger@evotec.com
Phillip Ihmor
1Evotec München GmbH, Am Klopferspitz 19a, Martinsried, Germany
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Mattias Backman
1Evotec München GmbH, Am Klopferspitz 19a, Martinsried, Germany
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Stefan Müller
1Evotec München GmbH, Am Klopferspitz 19a, Martinsried, Germany
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Henrik Daub
1Evotec München GmbH, Am Klopferspitz 19a, Martinsried, Germany
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Abstract

We report a highly optimized proteomics method for in-depth ubiquitination profiling, which combines efficient protein extraction and data-independent acquisition mass spectrometry (DIA-MS). Employing DIA for both spectral library generation and single-shot sample analysis, we quantify up to 70,000 ubiquitinated peptides per MS run with high precision, data completeness and throughput. Our approach resolves the dynamics of ubiquitination and protein degradation with an unprecedented analytical depth.

Competing Interest Statement

All authors are employees of Evotec Muenchen GmbH (Munich, Germany)

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 24, 2020.
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Deep ubiquitination site profiling by single-shot data-independent acquisition mass spectrometry
Martin Steger, Phillip Ihmor, Mattias Backman, Stefan Müller, Henrik Daub
bioRxiv 2020.07.23.218651; doi: https://doi.org/10.1101/2020.07.23.218651
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Deep ubiquitination site profiling by single-shot data-independent acquisition mass spectrometry
Martin Steger, Phillip Ihmor, Mattias Backman, Stefan Müller, Henrik Daub
bioRxiv 2020.07.23.218651; doi: https://doi.org/10.1101/2020.07.23.218651

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