Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Rapid Peptide Mapping of Monoclonal Antibodies with Direct Infusion Mass Spectrometry.

bioRxiv : the preprint server for biology·2026
Same author

Discovery of Casdatifan, Part I: Design and Characterization of Tetrahydroquinoline Inhibitors of Hypoxia-Inducible Factor-2α.

Journal of medicinal chemistry·2026
Same author

Mechanistic Modeling of Hollow Fiber Fouling and Sieving Predictions for Continuous Bioprocessing.

Biotechnology and bioengineering·2026
Same author

Enhancing CHO cell recombinant protein production using a perfusion-directed host evolution approach.

Biotechnology progress·2025
Same author

Effect of inner diameter, filter length, and pore size on hollow fiber filter fouling during perfusion cell culture.

Biotechnology progress·2024
Same author

Leveraging mathematical models for optimizing filter utility at manufacturing scale.

Biotechnology and bioengineering·2023
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026
Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026
Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jul 26, 2025

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments
10:59

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Published on: February 7, 2025

1.2K

A MATLAB-based app to improve LC-MS/MS data analysis for N-linked glycan peak identification.

Ashna Dhingra1, Zayla Schaeffer2, Natalia I Majewska Nepomuceno3

  • 1Bioprocess Technologies and Engineering, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA.

BMC Bioinformatics
|June 17, 2023
PubMed
Summary
This summary is machine-generated.

GlyKAn AZ is a new MATLAB app that automates glycan analysis using liquid chromatography-mass spectrometry (LC/MS). It streamlines data processing and identification, saving time for biopharmaceutical researchers.

Keywords:
GlycansGlycosylationLiquid chromatographyMATLABMatrix-assisted laser desorption/ionizationTandem mass spectrometry

More Related Videos

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

2.3K
Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems
14:42

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems

Published on: September 23, 2021

4.9K

Related Experiment Videos

Last Updated: Jul 26, 2025

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments
10:59

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Published on: February 7, 2025

1.2K
The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

2.3K
Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems
14:42

Liquid Chromatography Coupled to Refractive Index or Mass Spectrometric Detection for Metabolite Profiling in Lysate-based Cell-free Systems

Published on: September 23, 2021

4.9K

Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Bioinformatics

Background:

  • Glycosylation is a critical protein modification influencing biological processes.
  • Manual analysis of glycan structures via LC/MS and MS/MS is time-consuming and complex.
  • Existing glycobioinformatics tools are often costly or academic-focused, hindering industrial high-throughput applications.

Purpose of the Study:

  • To develop an automated, user-friendly software tool for glycan analysis in biopharmaceutical settings.
  • To streamline the processing, identification, and reporting of glycan structures from LC/MS data.
  • To provide a cost-effective and adaptable solution for standardized glycan analysis.

Main Methods:

  • Development of a MATLAB-based application, GlyKAn AZ, with a graphical user interface (GUI).
  • Implementation of MS1 and MS2 mass search algorithms and glycan databases for glycan species confirmation.
  • Inclusion of a Fragment Generator for expanding glycan databases and automatic MS/MS spectra annotation.

Main Results:

  • GlyKAn AZ automates glycan identification and data processing in a streamlined workflow.
  • The app features customizable displays and generates report-ready annotated MS/MS spectra.
  • Validation confirmed the accurate identification of all glycan species, comparable to manual analysis.

Conclusions:

  • GlyKAn AZ expedites glycan analysis with high accuracy, improving manual workflows.
  • The app's customizable features and outputs benefit both academic and industrial research.
  • It provides a valuable tool for efficient and standardized glycan identification.