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Top-down protein identification using a time-of-flight mass spectrometer and data independent acquisition.

Authors :
Lakshmanan, Rajeswari
Loo, Joseph A.
Source :
International Journal of Mass Spectrometry. Jan2019, Vol. 435, p136-144. 9p.
Publication Year :
2019

Abstract

Highlights • Top-down proteomics with an LC-TOF analyzer is demonstrated. • Data-independent acquisition (DIA) for top-down MS is shown. • All subunits and several PTMs for the h20S proteasome are identified. Abstract Top-down mass spectrometry and direct dissociation of gas phase intact proteins have been demonstrated to be a powerful platform for identifying proteins from complex mixtures and for elucidating post-translational modifications (PTMs). Fragmentation of proteins in the atmospheric pressure/vacuum interface of the electrospray ionization mass spectrometer is an effective dissociation technique that can be utilized for on-line HPLC top-down analysis. We demonstrate the capability to perform intact protein identifications in a single-stage time-of-flight (TOF) mass spectrometer in a data independent (DIA) acquisition fashion by rapidly switching the in-source dissociation (ISD) energy during protein elution from a liquid chromatography (LC) column. The intact protein and product ion masses obtained at low and high ISD energies, respectively, were measured using a TOF mass analyzer. By coupling on-line protein separations to dissociation in the atmospheric pressure/vacuum interface region of the mass spectrometer, we identified proteins in simple complexity mixtures, including subunits from the human 20S proteasome complex, and PTMs such as phosphorylation and N-terminal acetylation events. This proof-of-principle study demonstrates that a data-independent pseudo-MS/MS method could be a relatively inexpensive platform for top-down MS. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13873806
Volume :
435
Database :
Academic Search Index
Journal :
International Journal of Mass Spectrometry
Publication Type :
Academic Journal
Accession number :
133366874
Full Text :
https://doi.org/10.1016/j.ijms.2018.10.023