Evidence map›Paper›PMID 32576591›Full record

ArticleMolecular & cellular proteomics : MCP2020

Open Database Searching Enables the Identification and Comparison of Bacterial Glycoproteomes without Defining Glycan Compositions Prior to Searching.

Ameera Raudah Ahmad Izaham, Nichollas E Scott

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Exploring proteinmBio · 2025
    Article
  5. Journal of bacteriology · 2024
    Article
  6. Article
  7. Glycoproteomic and proteomic analysis ofMicrobiology spectrum · 2024
    Article
  8. Article
  9. CRISPRi-Mediated Silencing ofJournal of proteome research · 2023
    Article
  10. Article
  11. Article
  12. Measuring change in glycoprotein structure.Current opinion in structural biology · 2022
    Review
  13. Article
  14. Article
  15. The glycosylation in SARS-CoV-2 and its receptor ACE2.Signal transduction and targeted therapy · 2021
    Review
  16. Article
  17. Article
  18. Proteomic Analyses ofFrontiers in cellular and infection microbiology · 2021
    Article
  19. Review
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 2 institutions in 1 country.

Ameera Raudah Ahmad IzahamDepartment of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Nichollas E ScottDepartment of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia. Electronic address: Nichollas.scott@unimelb.edu.au.
Peter Doherty Institute · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry has become an indispensable tool for the characterization of glycosylation across biological systems. Our ability to generate rich fragmentation of glycopeptides has dramatically improved over the last decade yet our informatic approaches still lag behind. Although glycoproteomic informatics approaches using glycan databases have attracted considerable attention, database independent approaches have not. This has significantly limited high throughput studies of unusual or atypical glycosylation events such as those observed in bacteria. As such, computational approaches to examine bacterial glycosylation and identify chemically diverse glycans are desperately needed. Here we describe the use of wide-tolerance (up to 2000 Da) open searching as a means to rapidly examine bacterial glycoproteomes. We benchmarked this approach using

Indexed as

Acinetobacter baumanniiBacterial ProteinsBurkholderiaCampylobacterChromatography, LiquidDatabases, ProteinGlycopeptidesGlycosylationPeptidesPolysaccharidesProteomeProteomicsSoftwareTandem Mass SpectrometryBacterial ProteinsGlycopeptidesPeptidesPolysaccharidesProteomebacteriabioinformatics searchingglycomicsglycoproteinsglycoprotein structureGlycoproteomicsglycosylationN-glycosylationopen searchingpost-translational modifications

Identifiers

PMID32576591
PMCPMC8143609
OpenAlexW3038010570

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.