Evidence map›Paper›PMID 33578083›Full record

ArticleMolecular & cellular proteomics : MCP2021

Peak Filtering, Peak Annotation, and Wildcard Search for Glycoproteomics.

Abhishek Roushan, Gary M Wilson, Doron Kletter, K Ilker Sen, Wilfred Tang, Yong J Kil, Eric Carlson, Marshall Bern

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Article
  3. GNOme, an ontology for glycan naming and subsumption.Analytical and bioanalytical chemistry · 2025
    Article
  4. Article
  5. Article
  6. Immunoglobulin A carries sulfated andFrontiers in molecular biosciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. MALDI Peptide Mapping for Fast Analysis in Protein Footprinting.International journal of mass spectrometry · 2023
    Article
  13. Characterization of theJournal of bacteriology · 2023
    Article
  14. Article
  15. Review
  16. Systems-Wide Site-Specific Analysis of Glycoproteins.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  17. Systems-Wide Site-Specific Analysis of Glycoproteins.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  18. DecipheringMolecular omics · 2022
    Article
  19. Measuring change in glycoprotein structure.Current opinion in structural biology · 2022
    Review
  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

8 authors at 1 institution in 1 country.

Abhishek RoushanResearch and Development Group, Protein Metrics Inc, Cupertino, California, USA.
Gary M WilsonResearch and Development Group, Protein Metrics Inc, Cupertino, California, USA.
Doron KletterResearch and Development Group, Protein Metrics Inc, Cupertino, California, USA.
K Ilker SenResearch and Development Group, Protein Metrics Inc, Cupertino, California, USA.
Wilfred TangResearch and Development Group, Protein Metrics Inc, Cupertino, California, USA.
Yong J KilResearch and Development Group, Protein Metrics Inc, Cupertino, California, USA.
Eric CarlsonResearch and Development Group, Protein Metrics Inc, Cupertino, California, USA.
Marshall BernResearch and Development Group, Protein Metrics Inc, Cupertino, California, USA. Electronic address: bern@proteinmetrics.com.
Protein Metrics (United States) · US

Funding

Comprehensive Glycoproteomic Tool Development for Cancer BiomarkersR42GM112750 · NIGMS · PROTEIN METRICS, LLC · PI BERN, MARSHALL WAYNE · 2017 to 2019
$947k
Comprehensive Glycoproteomic Tool Development for Cancer BiomarkersR41GM112750 · NIGMS · PROTEIN METRICS, LLC · PI BECKER, CHRISTOPHER H, HAAB, BRIAN B. · 2014 to 2015
$686k
NIGMS NIH HHS R41 GM112750NIGMS NIH HHS R42 GM112750
6 · The paper itself

Abstract

Glycopeptides in peptide or digested protein samples pose a number of analytical and bioinformatics challenges beyond those posed by unmodified peptides or peptides with smaller posttranslational modifications. Exact structural elucidation of glycans is generally beyond the capability of a single mass spectrometry experiment, so a reasonable level of identification for tandem mass spectrometry, taken by several glycopeptide software tools, is that of peptide sequence and glycan composition, meaning the number of monosaccharides of each distinct mass, e.g., HexNAc(2)Hex(5) rather than man5. Even at this level, however, glycopeptide analysis poses challenges: finding glycopeptide spectra when they are a tiny fraction of the total spectra; assigning spectra with unanticipated glycans, not in the initial glycan database; and finding, scoring, and labeling diagnostic peaks in tandem mass spectra. Here, we discuss recent improvements to Byonic, a glycoproteomics search program, that address these three issues. Byonic now supports filtering spectra by m/z peaks, so that the user can limit attention to spectra with diagnostic peaks, e.g., at least two out of three of 204.087 for HexNAc, 274.092 for NeuAc (with water loss), and 366.139 for HexNAc-Hex, all within a set mass tolerance, e.g., ± 0.01 Da. Also, new is glycan "wildcard" search, which allows an unspecified mass within a user-set mass range to be applied to N- or O-linked glycans and enables assignment of spectra with unanticipated glycans. Finally, the next release of Byonic supports user-specified peak annotations from user-defined posttranslational modifications. We demonstrate the utility of these new software features by finding previously unrecognized glycopeptides in publicly available data, including glycosylated neuropeptides from rat brain.

Indexed as

Protein Processing, Post-TranslationalSoftwareAnimalsEndothelial CellsGlycopeptidesGlycosylationHumansKiller Cells, NaturalNeuropeptidesProteomicsRatsRats, Sprague-DawleyT-LymphocytesGlycopeptidesNeuropeptidesByonicCD16aFcγRIIIaglycosylationIsoTaGneuropeptideprenylationproSAAS

Identifiers

PMID33578083
PMCPMC8724605
OpenAlexW3083528853

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.