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Full Mass Range ΦSDM Orbitrap Mass Spectrometry for DIA Proteome Analysis.
Steigerwald, Sophia; Sinha, Ankit; Fort, Kyle L; Zeng, Wen-Feng; Niu, Lili; Wichmann, Christoph; Kreutzmann, Arne; Mourad, Daniel; Aizikov, Konstantin; Grinfeld, Dmitry; Makarov, Alexander; Mann, Matthias; Meier, Florian.
Afiliación
  • Steigerwald S; Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
  • Sinha A; Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
  • Fort KL; Thermo Fisher Scientific (GmbH), Bremen, Germany.
  • Zeng WF; Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
  • Niu L; Department Clinical Proteomics, NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
  • Wichmann C; Department Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Martinsried, Germany.
  • Kreutzmann A; Thermo Fisher Scientific (GmbH), Bremen, Germany.
  • Mourad D; Thermo Fisher Scientific (GmbH), Bremen, Germany.
  • Aizikov K; Thermo Fisher Scientific (GmbH), Bremen, Germany.
  • Grinfeld D; Thermo Fisher Scientific (GmbH), Bremen, Germany.
  • Makarov A; Thermo Fisher Scientific (GmbH), Bremen, Germany.
  • Mann M; Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; Department Clinical Proteomics, NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
  • Meier F; Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; Functional Proteomics, Jena University Hospital, Jena, Germany. Electronic address: fmeier@biochem.mpg.de.
Mol Cell Proteomics ; 23(2): 100713, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38184013
ABSTRACT
Optimizing data-independent acquisition methods for proteomics applications often requires balancing spectral resolution and acquisition speed. Here, we describe a real-time full mass range implementation of the phase-constrained spectrum deconvolution method (ΦSDM) for Orbitrap mass spectrometry that increases mass resolving power without increasing scan time. Comparing its performance to the standard enhanced Fourier transformation signal processing revealed that the increased resolving power of ΦSDM is beneficial in areas of high peptide density and comes with a greater ability to resolve low-abundance signals. In a standard 2 h analysis of a 200 ng HeLa digest, this resulted in an increase of 16% in the number of quantified peptides. As the acquisition speed becomes even more important when using fast chromatographic gradients, we further applied ΦSDM methods to a range of shorter gradient lengths (21, 12, and 5 min). While ΦSDM improved identification rates and spectral quality in all tested gradients, it proved particularly advantageous for the 5 min gradient. Here, the number of identified protein groups and peptides increased by >15% in comparison to enhanced Fourier transformation processing. In conclusion, ΦSDM is an alternative signal processing algorithm for processing Orbitrap data that can improve spectral quality and benefit quantitative accuracy in typical proteomics experiments, especially when using short gradients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteoma / Espectrometría de Masas en Tándem Límite: Humans Idioma: En Revista: Mol Cell Proteomics Asunto de la revista: BIOLOGIA MOLECULAR / BIOQUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteoma / Espectrometría de Masas en Tándem Límite: Humans Idioma: En Revista: Mol Cell Proteomics Asunto de la revista: BIOLOGIA MOLECULAR / BIOQUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Alemania
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