Evidence map›Paper›PMID 34470219›Full record

ReviewChemical reviews2022

Approaches to Heterogeneity in Native Mass Spectrometry.

Amber D Rolland, James S Prell

Open access · greenAbstract readReview
In one paragraph

Review in Chemical reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.8field-weighted citation impact, top 2% of its field
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

33 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Article
  3. Response Factor Correction for Quantitative Determination of HomooligomericJournal of the American Society for Mass Spectrometry · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Computed Vibrational Heat Capacities for Gas-Phase Biomolecular Ions.Journal of the American Society for Mass Spectrometry · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Endogenous monoclonal immunoglobulins analyzed using the EXENT® solution and LC-MS.Journal of mass spectrometry and advances in the clinical lab · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Amber D RollandDepartment of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon 97403-1253, United States.ORCID 0000-0002-7905-8250
James S PrellDepartment of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon 97403-1253, United States.ORCID 0000-0002-7505-9168
University of Oregon · US

Funding

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
NIAID NIH HHS R21 AI125804
6 · The paper itself

Abstract

Native mass spectrometry (MS) is aimed at preserving and determining the native structure, composition, and stoichiometry of biomolecules and their complexes from solution after they are transferred into the gas phase. Major improvements in native MS instrumentation and experimental methods over the past few decades have led to a concomitant increase in the complexity and heterogeneity of samples that can be analyzed, including protein-ligand complexes, protein complexes with multiple coexisting stoichiometries, and membrane protein-lipid assemblies. Heterogeneous features of these biomolecular samples can be important for understanding structure and function. However, sample heterogeneity can make assignment of ion mass, charge, composition, and structure very challenging due to the overlap of tens or even hundreds of peaks in the mass spectrum. In this review, we cover data analysis, experimental, and instrumental advances and strategies aimed at solving this problem, with an in-depth discussion of theoretical and practical aspects of the use of available deconvolution algorithms and tools. We also reflect upon current challenges and provide a view of the future of this exciting field.

Indexed as

AlgorithmsProteinsLigandsMass SpectrometryMembrane LipidsLigandsMembrane LipidsProteins

Identifiers

PMID34470219
PMCPMC8885964
OpenAlexW3198196603

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.