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Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics

Nature methods. Bd. 11. H. 2. New York, NY: Nature Publishing Group 2014 S. 167 - 170

Erscheinungsjahr: 2014

ISBN/ISSN: 1548-7091 ; 1548-7105

Publikationstyp: Zeitschriftenaufsatz

Sprache: Englisch

Doi/URN: 10.1038/nmeth.2767

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Inhaltszusammenfassung


We present a data-independent acquisition mass spectrometry method, ultradefinition (UD) MS(E). This approach utilizes ion mobility drift time-specific collision-energy profiles to enhance precursor fragmentation efficiency over current MS(E) and high-definition (HD) MS(E) data-independent acquisition techniques. UDMS(E) provided high reproducibility and substantially improved proteome coverage of the HeLa cell proteome compared to previous implementations of MS(E), and it also outperformed a...We present a data-independent acquisition mass spectrometry method, ultradefinition (UD) MS(E). This approach utilizes ion mobility drift time-specific collision-energy profiles to enhance precursor fragmentation efficiency over current MS(E) and high-definition (HD) MS(E) data-independent acquisition techniques. UDMS(E) provided high reproducibility and substantially improved proteome coverage of the HeLa cell proteome compared to previous implementations of MS(E), and it also outperformed a state-of-the-art data-dependent acquisition workflow. Additionally, we report a software tool, ISOQuant, for processing label-free quantitative UDMS(E) data.» weiterlesen» einklappen

Autoren


Distler, Ute (Autor)
Kuharev, Jörg (Autor)
Navarro, Pedro (Autor)
Levin, Yishai (Autor)
Schild, Hansjörg (Autor)
Tenzer, Stefan (Autor)

Klassifikation


DDC Sachgruppe:
Medizin