Extracting Charge and Mass Information from Highly Congested Mass Spectra Using Fourier-Domain Harmonics.

ABSTRACT: Native mass spectra of large, polydisperse biomolecules with repeated subunits, such as lipoprotein Nanodiscs, can often be challenging to analyze by conventional methods. The presence of tens of closely spaced, overlapping peaks in these mass spectra can make charge state, total mass, or subunit mass determinations difficult to measure by traditional methods. Recently, we introduced a Fourier Transform-based algorithm that can be used to deconvolve highly congested mass spectra for polydisperse ion populations with repeated subunits and facilitate identification of the charge states, subunit mass, charge-state-specific, and total mass distributions present in the ion population. Here, we extend this method by investigating the advantages of using overtone peaks in the Fourier spectrum, pa

SUBMITTER: Cleary SP 

PROVIDER: S-EPMC6330157 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature