Evidence map›Paper›PMID 29391424›Full record

ArticleScientific reports2018

Large-scale intact glycopeptide identification by Mascot database search.

Ravi Chand Bollineni, Christian Jeffrey Koehler, Randi Elin Gislefoss, Jan Haug Anonsen, Bernd Thiede

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.6field-weighted citation impact, top 4% 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, 73 citations in OpenAlex.

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  8. Can We BoostJournal of the American Society for Mass Spectrometry · 2024
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  11. Review
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  16. Towards structure-focused glycoproteomics.Biochemical Society transactions · 2021
    Review
  17. Bioinformatics in Immunoglobulin Glycosylation Analysis.Experientia supplementum (2012) · 2021
    Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Ravi Chand BollineniDepartment of Biosciences, University of Oslo, Oslo, Norway.
Christian Jeffrey KoehlerDepartment of Biosciences, University of Oslo, Oslo, Norway.
Randi Elin GislefossCancer Registry of Norway, Institute of Population-based Cancer Research, Oslo, Norway.
Jan Haug AnonsenDepartment of Biosciences, University of Oslo, Oslo, Norway.
Bernd ThiedeDepartment of Biosciences, University of Oslo, Oslo, Norway. bernd.thiede@ibv.uio.no.
University of Oslo · NOCancer Registry of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Workflows capable of determining glycopeptides in large-scale are missing in the field of glycoproteomics. We present an approach for automated annotation of intact glycopeptide mass spectra. The steps in adopting the Mascot search engine for intact glycopeptide analysis included: (i) assigning one letter codes for monosaccharides, (ii) linearizing glycan sequences and (iii) preparing custom glycoprotein databases. Automated annotation of both N- and O-linked glycopeptides was proven using standard glycoproteins. In a large-scale study, a total of 257 glycoproteins containing 970 unique glycosylation sites and 3447 non-redundant N-linked glycopeptide variants were identified in 24 serum samples. Thus, a single tool was developed that collectively allows the (i) elucidation of N- and O-linked glycopeptide spectra, (ii) matching glycopeptides to known protein sequences, and (iii) high-throughput, batch-wise analysis of large-scale glycoproteomics data sets.

Indexed as

Databases, FactualSearch EngineCase-Control StudiesGlycopeptidesGlycoproteinsGlycosylationHumansMaleProstatic NeoplasmsGlycopeptidesGlycoproteins

Identifiers

PMID29391424
PMCPMC5795011
OpenAlexW2807108702

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.