Literature DB >> 28738681

Optimizing High-Resolution Mass Spectrometry for the Identification of Low-Abundance Post-Translational Modifications of Intact Proteins.

Lisa E Kilpatrick1, Eric L Kilpatrick1.   

Abstract

Intact protein analysis by liquid chromatography-mass spectrometry (LC-MS) is now possible due to the improved capabilities of mass spectrometers yielding greater resolution, mass accuracy, and extended mass ranges. Concurrent measurement of post-translational modifications (PTMs) during LC-MS of intact proteins is advantageous while monitoring critical proteoform status, such as for clinical samples or during production of reference materials. However, difficulties exist for PTM identification when the protein is large or contains multiple modification sites. In this work, analyses of low-abundance proteoforms of proteins of clinical or therapeutic interest, including C-reactive protein, vitamin D-binding protein, transferrin, and immunoglobulin G (NISTmAb), were performed on an Orbitrap Elite mass spectrometer. This work investigated the effect of various instrument parameters including source temperatures, in-source CID, microscan type and quantity, resolution, and automatic gain control on spectral quality. The signal-to-noise ratio was found to be a suitable spectral attribute which facilitated identification of low abundance PTMs. Source temperature and CID voltage were found to require specific optimization for each protein. This study identifies key instrumental parameters requiring optimization for improved detection of a variety of PTMs by LC-MS and establishes a methodological framework to ensure robust proteoform identifications, the first step in their ultimate quantification.

Entities:  

Keywords:  LC-MS; Orbitrap; intact protein; post-translational modification; proteoform

Mesh:

Substances:

Year:  2017        PMID: 28738681      PMCID: PMC7489340          DOI: 10.1021/acs.jproteome.7b00244

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  68 in total

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10.  The first pilot project of the consortium for top-down proteomics: a status report.

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Journal:  Proteomics       Date:  2014-04-14       Impact factor: 3.984

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Review 4.  Current LC-MS-based strategies for characterization and quantification of antibody-drug conjugates.

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  5 in total

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