Evidence map›Paper›PMID 25462374›Full record

ArticleRapid communications in mass spectrometry : RCM2015

Automated annotation and quantitation of glycans by liquid chromatography/electrospray ionization mass spectrometric analysis using the MultiGlycan-ESI computational tool.

Yunli Hu, Shiyue Zhou, Chuan-Yih Yu, Haixu Tang, Yehia Mechref

Open access · greenAbstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2015. 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
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

21 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Altered Cell SurfaceJournal of proteome research · 2025
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  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. 8-plex LC-MS/MS Analysis of PermethylatedAnalytical chemistry · 2019
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Glycomic and glycoproteomic analysis of glycoproteins-a tutorial.Analytical and bioanalytical chemistry · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  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

5 authors at 2 institutions in 1 country.

Yunli HuDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409, USA.
Shiyue Zhou
Chuan-Yih Yu
Haixu Tang
Yehia Mechref
Texas Tech University · USIndiana University Bloomington · US

Funding

Sensitive and Quantitative MS-bases Glycomic Mapping PlatformR01GM112490 · NIGMS · TEXAS TECH UNIVERSITY · PI MECHREF, YEHIA · 2014 to 2024
$3.2M
NIGMS NIH HHS 1R01GM112490-01NIGMS NIH HHS R01 GM112490
6 · The paper itself

Abstract

rationaleLiquid chromatography/mass spectrometry (LC/MS) is currently considered to be a conventional glycomics analysis strategy due to the high sensitivity and ability to handle complex biological samples. Interpretation of LC/MS data is a major bottleneck in high-throughput glycomics LC/MS-based analysis. The complexity of LC/MS data associated with biological samples prompts the needs to develop computational tools capable of facilitating automated data annotation and quantitation.

methodsAn LC/MS-based automated data annotation and quantitation software, MultiGlycan-ESI, was developed and utilized for glycan quantitation. Data generated by the software from LC/MS analysis of permethylated N-glycans derived from fetuin were initially validated by manual integration to assess the performance of the software. The performance of MultiGlycan-ESI was then assessed for the quantitation of permethylated fetuin N-glycans analyzed at different concentrations or spiked with permethylated N-glycans derived from human blood serum.

resultsThe relative abundance differences between data generated by the software and those generated by manual integration were less than 5%, indicating the reliability of MultiGlycan-ESI in quantitation of permethylated glycans analyzed by LC/MS. Automated quantitation resulted in a linear relationship for all six N-glycans derived from 50 ng to 400 ng fetuin with correlation coefficients (R(2) ) greater than 0.93. Spiking of permethylated fetuin N-glycans at different concentrations in permethylated N-glycan samples derived from a 0.02 μL of HBS also exhibited linear agreement with R(2) values greater than 0.9.

conclusionsWith a variety of options, including mass accuracy, merged adducts, and filtering criteria, MultiGlycan-ESI allows automated annotation and quantitation of LC/ESI-MS N-glycan data. The software allows the reliable quantitation of glycan LC/MS data. The software is reliable for automated glycan quantitation, thus facilitating rapid and reliable high-throughput glycomics studies.

Indexed as

Chromatography, LiquidData CurationGlycoproteinsHumansLinear ModelsModels, ChemicalPolysaccharidesSoftwareSpectrometry, Mass, Electrospray IonizationGlycoproteinsPolysaccharides

Identifiers

PMID25462374
PMCPMC4516131
OpenAlexW2113555678

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.