Evidence map›Paper›PMID 33156608›Full record

ArticleAnalytical chemistry2020

Uniting Native Capillary Electrophoresis and Multistage Ultraviolet Photodissociation Mass Spectrometry for Online Separation and Characterization of

M Rachel Mehaffey, Qiangwei Xia, Jennifer S Brodbelt

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

36 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  5. Review
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  9. Capillary Electrophoresis-Mass Spectrometry for Top-Down Proteomics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2025
    Review
  10. Article
  11. Native Proteomics by Capillary Zone Electrophoresis-Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2024
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Top-down proteomics.Nature reviews. Methods primers · 2024
    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

3 authors at 2 institutions in 1 country.

M Rachel MehaffeyDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.
Qiangwei XiaCMP Scientific Corporation, Brooklyn, New York, New York 11226, United States.ORCID 0000-0003-3617-1808
Jennifer S BrodbeltDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0003-3207-0217
The University of Texas at Austin · USBoston Scientific (United States) · US

Funding

UVPD Mass Spectrometry of Protein ComplexesR01GM121714 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S. · 2017 to 2020
$1.4M
NIGMS NIH HHS R01 GM121714
6 · The paper itself

Abstract

With an overarching goal of characterizing the structure of every protein within a cell, identifying its interacting partners, and quantifying the dynamics of the states in which it exists, key developments are still necessary to achieve comprehensive native proteomics by mass spectrometry (MS). In practice, much work remains to optimize reliable online separation methods that are compatible with native MS and improve tandem MS (MS/MS) approaches with respect to when and how energy is deposited into proteins of interest. Herein, we utilize native capillary zone electrophoresis coupled with MS to characterize the proteoforms in the

Indexed as

ProteomicsUltraviolet RaysElectrophoresis, CapillaryEscherichia coliMass SpectrometryRibosomal ProteinsRibosomal Proteins

Identifiers

PMID33156608
PMCPMC7788560
OpenAlexW3095622276

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.