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Stochastic assembly of biomacromolecular complexes: impact and implications on charge interpretation in native mass spectrometry.

Authors :
Yin V
Devine PWA
Saunders JC
Barendregt A
Cusdin F
Ristani A
Hines A
Shepherd S
Dembek M
Dobson CL
Snijder J
Bond NJ
Heck AJR
Source :
Chemical science [Chem Sci] 2023 Aug 17; Vol. 14 (35), pp. 9316-9327. Date of Electronic Publication: 2023 Aug 17 (Print Publication: 2023).
Publication Year :
2023

Abstract

Native mass spectrometry is a potent method for characterizing biomacromolecular assemblies. A critical aspect to extracting accurate mass information is the correct inference of the ion ensemble charge states. While a variety of experimental strategies and algorithms have been developed to facilitate this, virtually all approaches rely on the implicit assumption that any peaks in a native mass spectrum can be directly attributed to an underlying charge state distribution. Here, we demonstrate that this paradigm breaks down for several types of macromolecular protein complexes due to the intrinsic heterogeneity induced by the stochastic nature of their assembly. Utilizing several protein assemblies of adeno-associated virus capsids and ferritin, we demonstrate that these particles can produce a variety of unexpected spectral appearances, some of which appear superficially similar to a resolved charge state distribution. When interpreted using conventional charge inference strategies, these distorted spectra can lead to substantial errors in the calculated mass (up to ∼5%). We provide a novel analytical framework to interpret and extract mass information from these spectra by combining high-resolution native mass spectrometry, single particle Orbitrap-based charge detection mass spectrometry, and sophisticated spectral simulations based on a stochastic assembly model. We uncover that these mass spectra are extremely sensitive to not only mass heterogeneity within the subunits, but also to the magnitude and width of their charge state distributions. As we postulate that many protein complexes assemble stochastically, this framework provides a generalizable solution, further extending the usability of native mass spectrometry in the characterization of biomacromolecular assemblies.<br />Competing Interests: PWAD, JCS, FC, AR, AH, SS, MD, CLD and NJB are employees of AstraZeneca, a company with an interest in developing adeno-associated viruses for gene-delivery.<br /> (This journal is © The Royal Society of Chemistry.)

Details

Language :
English
ISSN :
2041-6520
Volume :
14
Issue :
35
Database :
MEDLINE
Journal :
Chemical science
Publication Type :
Academic Journal
Accession number :
37712025
Full Text :
https://doi.org/10.1039/d3sc03228k