Evidence map›Paper›PMID 27111718›Full record

ArticleAnalytical chemistry2016

Automated Glycan Sequencing from Tandem Mass Spectra of N-Linked Glycopeptides.

Chuan-Yih Yu, Anoop Mayampurath, Rui Zhu, Lauren Zacharias, Ehwang Song, Lei Wang, Yehia Mechref, Haixu Tang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Glycan Sequencing, A Brief Primer.Glycoscience & therapy · 2026
    Article
  4. Biomarker Discovery via N-Glycoproteomics.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Article
  6. A Boltzmann model predicts glycan structures from lectin binding.bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. GlycoDeNovo2: An Improved MS/MS-BasedJournal of the American Society for Mass Spectrometry · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Advancing Solutions to the Carbohydrate Sequencing Challenge.Journal of the American Chemical Society · 2019
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  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 3 institutions in 1 country.

Chuan-Yih YuSchool of Informatics and Computing, Indiana University , 150 South Woodlawn Avenue, Bloomington, Indiana 47405, United States.
Anoop MayampurathComputation Institute, University of Chicago , Chicago, Illinois 60637, United States.
Rui ZhuDepartment of Chemistry and Biochemistry, Texas Tech University , Lubbock, Texas 79409, United States.
Lauren ZachariasDepartment of Chemistry and Biochemistry, Texas Tech University , Lubbock, Texas 79409, United States.
Ehwang SongDepartment of Chemistry and Biochemistry, Texas Tech University , Lubbock, Texas 79409, United States.
Lei WangSchool of Informatics and Computing, Indiana University , 150 South Woodlawn Avenue, Bloomington, Indiana 47405, United States.
Yehia MechrefDepartment of Chemistry and Biochemistry, Texas Tech University , Lubbock, Texas 79409, United States.
Haixu TangSchool of Informatics and Computing, Indiana University , 150 South Woodlawn Avenue, Bloomington, Indiana 47405, United States.
Texas Tech University · USIndiana University Bloomington · USUniversity of Chicago · US

Funding

Sensitive and Quantitative MS-bases Glycomic Mapping PlatformR01GM112490 · NIGMS · TEXAS TECH UNIVERSITY · PI MECHREF, YEHIA · 2014 to 2024
$3.2M
Developing high-throughput IMS-MS and IMS-IMS-MS techniques for glycomics analysiR01GM093322 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI CLEMMER, DAVID E., MECHREF, YEHIA · 2010 to 2013
$1.1M
NIGMS NIH HHS R01 GM093322NIGMS NIH HHS R01 GM112490
6 · The paper itself

Abstract

Mass spectrometry has become a routine experimental tool for proteomic biomarker analysis of human blood samples, partly due to the large availability of informatics tools. As one of the most common protein post-translational modifications (PTMs) in mammals, protein glycosylation has been observed to alter in multiple human diseases and thus may potentially be candidate markers of disease progression. While mass spectrometry instrumentation has seen advancements in capabilities, discovering glycosylation-related markers using existing software is currently not straightforward. Complete characterization of protein glycosylation requires the identification of intact glycopeptides in samples, including identification of the modification site as well as the structure of the attached glycans. In this paper, we present GlycoSeq, an open-source software tool that implements a heuristic iterated glycan sequencing algorithm coupled with prior knowledge for automated elucidation of the glycan structure within a glycopeptide from its collision-induced dissociation tandem mass spectrum. GlycoSeq employs rules of glycosidic linkage as defined by glycan synthetic pathways to eliminate improbable glycan structures and build reasonable glycan trees. We tested the tool on two sets of tandem mass spectra of N-linked glycopeptides cell lines acquired from breast cancer patients. After employing enzymatic specificity within the N-linked glycan synthetic pathway, the sequencing results of GlycoSeq were highly consistent with the manually curated glycan structures. Hence, GlycoSeq is ready to be used for the characterization of glycan structures in glycopeptides from MS/MS analysis. GlycoSeq is released as open source software at https://github.com/chpaul/GlycoSeq/ .

Indexed as

AutomationSoftwareAlgorithmsCarbohydrate ConformationCell Line, TumorGlycopeptidesHumansPolysaccharidesTandem Mass SpectrometryGlycopeptidesPolysaccharides

Identifiers

PMID27111718
PMCPMC4899231
OpenAlexW2344188961

What OpenQuestion holds

Textmetadata
LicenceTDM
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.