Evidence map›Paper›PMID 28412815›Full record

ArticleJournal of proteome research2017

High-Throughput Analysis of Intact Human Proteins Using UVPD and HCD on an Orbitrap Mass Spectrometer.

Timothy P Cleland, Caroline J DeHart, Ryan T Fellers, Alexandra J VanNispen, Joseph B Greer, Richard D LeDuc, W Ryan Parker, Paul M Thomas, Neil L Kelleher, Jennifer S Brodbelt

Abstract read
In one paragraph

Article in Journal of proteome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
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  9. Mobility-Assisted Pseudo-MSJournal of the American Society for Mass Spectrometry · 2024
    Article
  10. Article
  11. Direct Identification of Intact Proteins Using a Low-Resolution Mass Spectrometer with CIDJournal of the American Society for Mass Spectrometry · 2024
    Article
  12. Article
  13. Top-down proteomics.Nature reviews. Methods primers · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
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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

10 authors.

Timothy P ClelandDepartment of Chemistry, University of Texas at Austin , Austin, Texas 78712, United States.
Caroline J DeHartNational Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.
Ryan T FellersNational Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.
Alexandra J VanNispenNational Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.
Joseph B GreerNational Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.
Richard D LeDucNational Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.
W Ryan ParkerDepartment of Chemistry, University of Texas at Austin , Austin, Texas 78712, United States.
Paul M ThomasNational Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.ORCID 0000-0003-2887-4765
Neil L KelleherNational Resource for Translational and Developmental Proteomics, Northwestern University , Evanston, Illinois 60208, United States.ORCID 0000-0002-8815-3372
Jennifer S BrodbeltDepartment of Chemistry, University of Texas at Austin , Austin, Texas 78712, United States.ORCID 0000-0003-3207-0217

Funding

TR&D 7: Cell Specific ProteomicsP41GM108569 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2015 to 2024
$13.6M
IRACDA Postdoctoral Program: Collaborative Opportunities for Research EducatorsK12GM102745 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S. · 2013 to 2017
$2.2M
NIGMS NIH HHS K12 GM102745NIGMS NIH HHS P41 GM108569
6 · The paper itself

Abstract

The analysis of intact proteins (top-down strategy) by mass spectrometry has great potential to elucidate proteoform variation, including patterns of post-translational modifications (PTMs), which may not be discernible by analysis of peptides alone (bottom-up approach). To maximize sequence coverage and localization of PTMs, various fragmentation modes have been developed to produce fragment ions from deep within intact proteins. Ultraviolet photodissociation (UVPD) has recently been shown to produce high sequence coverage and PTM retention on a variety of proteins, with increasing evidence of efficacy on a chromatographic time scale. However, utilization of UVPD for high-throughput top-down analysis to date has been limited by bioinformatics. Here we detected 153 proteins and 489 proteoforms using UVPD and 271 proteins and 982 proteoforms using higher energy collisional dissociation (HCD) in a comparative analysis of HeLa whole-cell lysate by qualitative top-down proteomics. Of the total detected proteoforms, 286 overlapped between the UVPD and HCD data sets, with 68% of proteoforms having C scores greater than 40 for UVPD and 63% for HCD. The average sequence coverage (28 ± 20% for UVPD versus 17 ± 8% for HCD, p < 0.0001) was found to be higher for UVPD than HCD and with a trend toward improvement in q value for the UVPD data set. This study demonstrates the complementarity of UVPD and HCD for more extensive protein profiling and proteoform characterization.

Indexed as

HeLa CellsHigh-Throughput Screening AssaysHumansProtein Processing, Post-TranslationalProteinsProteomicsTandem Mass SpectrometryUltraviolet RaysProteinsHeLahigher-energy collisional dissociationOrbitrap mass spectrometerproteinproteoformproteomicstop-downultraviolet photodissociation

Identifiers

PMID28412815
PMCPMC5549616

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.