4.8 Article

Implementation of electron-transfer dissociation on a hybrid linear ion trap-orbitrap mass spectrometer

Journal

ANALYTICAL CHEMISTRY
Volume 79, Issue 10, Pages 3525-3534

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ac070020k

Keywords

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Funding

  1. NHGRI NIH HHS [T32 HG002760-05, T32 HG002760-06, T32 HG002760] Funding Source: Medline
  2. NIGMS NIH HHS [R01 GM080148-02, T32 GM008349-16, R01GM080148, R01 GM080148, T32 GM008349-19, T32 GM008349-13, T32 GM008349-20, T32 GM008349-14, T32 GM008349-17, T32 GM008349-18, T32 GM008349-10, T32 GM008349-15, T32 GM008349-11, T32 GM008349-12, T32 GM008349] Funding Source: Medline

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We describe the adaptation of a hybrid quadrupole linear ion trap-orbitrap mass spectrometer to accommodate electron-transfer ion/ion reactions (ETD) for peptide and protein characterization. The method utilizes pulsed, dual electrospray ion sources and requires minimal instrument modification. Switching between cation and reagent anion injection schemes is automated and accomplished within a few hundred milliseconds. Ion/ion reactions are conducted within the linear ion trap, after which the c- and z-type product ions are passed to the orbitrap for high-resolution m/z analysis. With this arrangement, mass accuracies are typically measured to within 2 ppm at a resolving power of similar to 60 000. Using large peptides and intact proteins, we demonstrate such capabilities will accelerate our ability to interrogate high-mass species. To illustrate compatibility with automated data-dependent analysis and subsequent data processing, we couple the technique with an online chromatographic separation of a yeast whole-cell lysate followed by peptide identification using ProSight PC. Fairly long pulsing times and relatively low ET efficiency, as compared to conventional ETD instrumentation, are the main drawbacks of this approach. Still, our results suggest that the implementation of ETD on sensitive, high-resolution, and high-mass accuracy hybrid instrumentation, such as the orbitrap, will substantially propel the emergent fields of middle- and top-down proteomics.

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