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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Protein Glycosylation01:25

Protein Glycosylation

Glycosylation, the most common post-translational modification for proteins, serves diverse functions. Adding sugars to proteins makes the proteins more resistant to proteolytic digestion. Glycosylated proteins can act as markers and receptors to promote cell-cell adhesion. Additionally, they have many essential quality control functions in the cell, such as correct protein folding and facilitating transport of misfolded proteins to the cytosol, which can be degraded.
Glycosylation occurs in...
Proteoglycans01:05

Proteoglycans

Glycans, a class of complex heterogeneous molecules, can be covalently attached to proteins to form glycosylated proteins that regulate various physiological and pathological processes. Glycosylated proteins or glycoproteins comprise N-linked and O-linked oligosaccharides. O-glycosylation is the most common type of protein glycosylation. Here, glycans attach to the oxygen atom of the hydroxyl groups of Serine or Threonine residues. O-linked glycosylation occurs later in protein processing,...

You might also read

Related Articles

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

Sort by
Same author

Efficacy and patient selection of consolidative thoracic radiotherapy following chemoimmunotherapy in ES-SCLC.

Frontiers in cell and developmental biology·2026
Same author

Deciphering O‑GlcNAc-Dependent Signaling Via Integrated Proteomics and Phosphoproteomics.

ACS omega·2026
Same author

Epithelial Fucosylation Drives Airway Barrier Dysfunction and Allergic Inflammation via a FUT1 -CDH12 Axis.

Allergy·2026
Same author

Amplitude of low-frequency fluctuation differences in resting-state functional magnetic resonance imaging between Parkinson's disease and multiple system atrophy-parkinsonian type.

Parkinsonism & related disorders·2026
Same author

Prophylactic Central Lymph Node Dissection Versus Thyroidectomy Alone in Clinically Node-Negative Thyroid Cancer: A Systematic Review and Meta-Analysis.

Ear, nose, & throat journal·2026
Same author

Association between serum cytokine and neuron-specific enolase levels and the core symptoms of autism spectrum disorder.

IBRO neuroscience reports·2026
Same journal

Heterojunction-Enhanced Interfacial Evanescent-Tunable Fiber Optic Probe for Amplification-free CRISPR/Cas12a-Based Rapid and Ultrasensitive Detection of MPXV.

Analytical chemistry·2026
Same journal

Tunable Charge Transfer in Europium Metal-Organic Frameworks for Ratiometric Sensing of a Sarin Simulant.

Analytical chemistry·2026
Same journal

A β-Cyclodextrin/Ag<sub>2</sub>O@MWCNT-Based Stochastic Platform for the Simultaneous Molecular Enantiorecognition and Enantioanalysis of Twelve Amino Acids in Biological Matrices.

Analytical chemistry·2026
Same journal

The ACS at 150: The History of Analytical Chemistry Publications and a Century of Progress.

Analytical chemistry·2026
Same journal

Machine Learning-Enabled Image Analysis of Complex Chemical Mixtures: Synthetic Urine Droplets as a Test System.

Analytical chemistry·2026
Same journal

H<sub>2</sub>O<sub>2</sub>/Viscosity Tandem-Locked Fluorescent Probes Based on an In Situ Fluorophore Synthesis Strategy for Colitis Imaging and Diagnosis.

Analytical chemistry·2026
See all related articles

Related Experiment Video

Updated: May 20, 2026

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

GDAS: A Machine Learning-Driven Approach for the High-Throughput Identification of Disease-Associated Glycoforms.

Shengye Wen1,2,3, Yu Gao1,3, Xinyu Miao1,2,3

  • 1Laboratory of Clinical and Molecular Glycobiology, Institute of Glycome Study, Shantou University Medical College, Shantou, Guangdong 515041, China.

Analytical Chemistry
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

Glycoproteomics Data Analysis Software (GDAS) accelerates the identification of disease-specific glycosylation patterns. This tool enhances biomarker discovery by efficiently analyzing mass spectrometry data for complex glycoforms.

More Related Videos

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

Glycan Node Analysis: A Bottom-up Approach to Glycomics
11:36

Glycan Node Analysis: A Bottom-up Approach to Glycomics

Published on: May 22, 2016

Related Experiment Videos

Last Updated: May 20, 2026

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

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

Glycan Node Analysis: A Bottom-up Approach to Glycomics
11:36

Glycan Node Analysis: A Bottom-up Approach to Glycomics

Published on: May 22, 2016

Area of Science:

  • Biochemistry
  • Computational Biology
  • Proteomics

Background:

  • Glycosylation is a vital post-translational modification crucial for biological functions.
  • Identifying glycosites and glycoforms at the proteome scale is challenging due to computational demands.
  • Aberrant glycosylation patterns are linked to various diseases, making them valuable biomarkers.

Purpose of the Study:

  • To develop a high-throughput computational platform for rapid and accurate identification of disease-specific glycoforms.
  • To streamline the analysis of complex glycosylation data from mass spectrometry.
  • To enable robust biomarker prioritization through advanced statistical modeling and machine learning.

Main Methods:

  • Integration of an ultrafast open-search strategy (MSFragger-Glyco) with statistical filtering.
  • Utilizing specialized tools (GlycReSoft, O-Pair) for targeted N- and O-glycosylation analysis.
  • Employing advanced statistical modeling and machine learning (bootstrap, Bayesian inference, XGBoost, random forest) for quantitative output integration.

Main Results:

  • GDAS enables high-throughput, rapid, and confident identification of disease-specific glycoforms.
  • The platform efficiently reduces large proteome databases for focused analysis.
  • Successful application to Alzheimer's disease data revealed meaningful glycosylation alterations.

Conclusions:

  • GDAS significantly enhances the efficiency and accuracy of glycoproteomic data analysis.
  • The software facilitates the discovery of novel glycosylation biomarkers for disease diagnosis and understanding.
  • GDAS is a valuable, freely available resource for the research community.