Evidence map›Paper›PMID 29663256›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

Comparison of Collisional and Electron-Based Dissociation Modes for Middle-Down Analysis of Multiply Glycosylated Peptides.

Kshitij Khatri, Yi Pu, Joshua A Klein, Juan Wei, Catherine E Costello, Cheng Lin, Joseph Zaia

Abstract readComparative Study
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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Revealing the human mucinome.Nature communications · 2022
    Article
  6. Measuring change in glycoprotein structure.Current opinion in structural biology · 2022
    Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Calculating Glycoprotein Similarities From Mass Spectrometric Data.Molecular & cellular proteomics : MCP · 2021
    Review
  12. Article
  13. Review
  14. Optimal Dissociation Methods Differ forJournal of proteome research · 2020
    Article
  15. Article
  16. Review
  17. Advancing Solutions to the Carbohydrate Sequencing Challenge.Journal of the American Chemical Society · 2019
    Review
  18. Article
  19. Review
  20. Sequence Ion Structures and Dissociation Chemistry of Deprotonated Sucrose Anions.Journal of the American Society for Mass Spectrometry · 2018
    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

7 authors.

Kshitij KhatriDepartment of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, MA, USA.
Yi PuDepartment of Chemistry, Boston University, Boston, MA, USA.
Joshua A KleinProgram in Bioinformatics, Boston University, Boston, MA, USA.
Juan WeiDepartment of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, MA, USA.
Catherine E CostelloDepartment of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, MA, USA.
Cheng LinDepartment of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, MA, USA. chenglin@bu.edu.
Joseph ZaiaDepartment of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, MA, USA. jzaia@bu.edu.ORCID http://orcid.org/0000-0001-9497-8701

Funding

Mass Spectrometry Resource for Biology and MedicineP41GM104603 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2012 to 2017
$10.4M
Legacy Support During Closure of the Mass Spectrometry Resource for Biology and MedicineR24GM134210 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2019 to 2021
$2.1M
LTQ-FT MS System for On-line Protein and Glycan AnalysisS10RR025082 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2009 to 2009
$1.3M
A Thermo-Fisher Scientific Q-Exactive HF Mass Spectrometry SystemS10OD021651 · OD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ZAIA, JOSEPH · 2016 to 2016
$580k
NCRR NIH HHS S10 RR025082NIGMS NIH HHS P41 GM104603NIGMS NIH HHS P41GM104603NIGMS NIH HHS R24 GM134210NIH HHS S10RR025082NIH Office of the Director S10OD021651
6 · The paper itself

Abstract

Analysis of singly glycosylated peptides has evolved to a point where large-scale LC-MS analyses can be performed at almost the same scale as proteomics experiments. While collisionally activated dissociation (CAD) remains the mainstay of bottom-up analyses, it performs poorly for the middle-down analysis of multiply glycosylated peptides. With improvements in instrumentation, electron-activated dissociation (ExD) modes are becoming increasingly prevalent for proteomics experiments and for the analysis of fragile modifications such as glycosylation. While these methods have been applied for glycopeptide analysis in isolated studies, an organized effort to compare their efficiencies, particularly for analysis of multiply glycosylated peptides (termed here middle-down glycoproteomics), has not been made. We therefore compared the performance of different ExD modes for middle-down glycopeptide analyses. We identified key features among the different dissociation modes and show that increased electron energy and supplemental activation provide the most useful data for middle-down glycopeptide analysis. Graphical Abstract.

Indexed as

Amino Acid SequenceChromatography, LiquidElectronsGlycopeptidesGlycosylationHumansOrosomucoidProteomicsTandem Mass SpectrometryTransferrinGlycopeptidesOrosomucoidTransferrinElectron-activated dissociationEThcDFTICR-MSGlycoproteomicshotECDMiddle-downTandem MS

Identifiers

PMID29663256
PMCPMC6004259

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.