Evidence map›Paper›PMID 30003534›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

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

Sean P Cleary, Huilin Li, Dhanashri Bagal, Joseph A Loo, Iain D G Campuzano, James S Prell

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Single-Frequency Ion Parking in a Digital 3D Quadrupole Ion Trap.International journal of mass spectrometry · 2024
    Article
  7. Article
  8. Proteoform-Selective Imaging of Tissues Using Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2022
    Article
  9. Review
  10. Review
  11. Article
  12. Deconvolving Native and Intact Protein Mass Spectra with UniDec.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Review
  14. Native Mass Spectrometry of Iron-Sulfur Proteins.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  15. Nanodiscs and Mass Spectrometry: Making Membranes Fly.International journal of mass spectrometry · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Standard Proteoforms and Their Complexes for Native Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sean P ClearyDepartment of Chemistry and Biochemistry, 1253 University of Oregon, Eugene, OR, 97403-1253, USA.
Huilin LiDepartment of Chemistry and Biochemistry, Department of Biological Chemistry, University of California, UCLA/DOE Institute for Genomics and Proteomics, Los Angeles, Los Angeles, CA, 90095, USA.
Dhanashri BagalAmgen Discovery Research, Amgen, Inc., 1120 Veterans Blvd, South San Francisco, CA, 94080, USA.
Joseph A LooDepartment of Chemistry and Biochemistry, Department of Biological Chemistry, University of California, UCLA/DOE Institute for Genomics and Proteomics, Los Angeles, Los Angeles, CA, 90095, USA.
Iain D G CampuzanoMolecular Structure and Characterization, Amgen, Inc., Thousand Oaks, CA, 91320, USA.
James S PrellDepartment of Chemistry and Biochemistry, 1253 University of Oregon, Eugene, OR, 97403-1253, USA. jprell@uoregon.edu.ORCID http://orcid.org/0000-0002-7505-9168

Funding

UV Laser for Photodissociation-Mass Spectrometry of Proteins and Protein ComplexesR01GM103479 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, JOSEPH A · 2012 to 2021
$3.2M
Ultra-High Resolution Mass Spectrometer for Biomedical ResearchS10RR028893 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, JOSEPH A · 2010 to 2010
$2.7M
Mass Spectrometry Analysis of Lipid-Protein Interactions and Structural Heterogeneity in the Anthrax Toxin PoreR21AI125804 · NIAID · UNIVERSITY OF OREGON · PI PRELL, JAMES STEPHEN · 2017 to 2018
$424k
National Center for Research Resources S10RR028893National Institute of Allergy and Infectious Diseases R21AI125804National Institute of General Medical Sciences R01GM103479NCRR NIH HHS S10 RR028893NIAID NIH HHS R21 AI125804NIGMS NIH HHS R01 GM103479
6 · The paper itself

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, particularly for mass spectra with low signal-to-noise and poor resolution. This method is illustrated for lipoprotein Nanodisc mass spectra acquired on three common platforms, including the first reported native mass spectrum of empty "large" Nanodiscs assembled with MSP1E3D1 and over 300 noncovalently associated lipids. It is shown that overtone peaks contain nearly identical stoichiometry and charge state information to fundamental peaks but can be significantly better resolved, resulting in more reliable reconstruction of charge-state-specific mass spectra and peak width characterization. We further demonstrate how these parameters can be used to improve results from Bayesian spectral fitting algorithms, such as UniDec. Graphical Abstract ᅟ.

Indexed as

DeconvolutionFourier transformNanodiscNative mass spectrometry

Identifiers

PMID30003534
PMCPMC6330157

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.