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

What is Glycolysis?00:56

What is Glycolysis?

166.8K
Overview
Cells make energy by breaking down macromolecules. Cellular respiration is the biochemical process that converts "food energy" (from the chemical bonds of macromolecules) into chemical energy in the form of adenosine triphosphate (ATP). The first step of this tightly regulated and intricate process is glycolysis. The word glycolysis originates from the Latin glyco (sugar) and lysis (breakdown). Glycolysis serves two main intracellular functions: generating ATP and generating...
166.8K
Glycosaminoglycans01:23

Glycosaminoglycans

5.0K
Glycosaminoglycans (GAGs), also known as mucopolysaccharides, are long and linear polymers comprising of specific repeating disaccharides - the amino sugar that can be N-acetylglucosamine or N-acetylgalactosamine, and a uronic acid that is usually glucuronic acid or iduronic acid.
GAGS are found in the extracellular matrix of vertebrates, invertebrates, and bacteria. Due to their polar nature they attract water, and serve as excellent lubricants or shock absorbers in an animal body.
Hyaluronic...
5.0K
Protein Glycosylation01:25

Protein Glycosylation

7.2K
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...
7.2K
Glycolysis01:23

Glycolysis

184
Glycolysis, the Embden-Meyerhof pathway, is a central metabolic pathway involved in glucose catabolism. It is highly conserved across most organisms, reflecting its fundamental role in cellular energy production. This process occurs in the cytoplasm and can function both in the presence and absence of oxygen, making it versatile for various organisms and environmental conditions.Stages of GlycolysisGlycolysis is a ten-step pathway that converts glucose into pyruvate, generating a net gain of...
184
Glycocalyx and its Functions01:14

Glycocalyx and its Functions

4.6K
The glycocalyx is a carbohydrate-rich, fuzzy-appearing layer on the outer surface of the cell membrane. It is highly hydrophilic, because of this it attracts large amounts of water to the cell's surface. This aids the cell's interaction with the watery environment and also helps it to obtain substances dissolved in the water. It is also important for cell identification, self/non-self determination, and embryonic development and is used in cell-to-cell attachments to form tissues.
4.6K
Oligosaccharide Assembly01:24

Oligosaccharide Assembly

3.0K
Protein glycosylation starts in the ER lumen and continues in the Golgi apparatus. Glycosyltransferases catalyze the addition of sugar molecules or glycosylation of proteins. Usually, these enzymes add sugars to the hydroxyl groups of selected serine or threonine residues to form O-linked glycans or the amino groups of asparagine residues to form N-linked glycans. Different positions on the same polypeptide chain can contain differently linked glycans.
Multiple sugar molecules that may or may...
3.0K

You might also read

Related Articles

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

Sort by
Same author

Projected Oral Health Outcomes and Costs Associated With Pediatric Medicaid Disenrollment.

JAMA network open·2026
Same author

Factors influencing use and choice of Core Outcome Sets and Outcome Measurement Instruments in trials of interventions to prevent childhood obesity: a mixed-methods survey.

Journal of clinical epidemiology·2025
Same author

Validate artificial intelligence for the diagnosis of periodontal disease.

BMC oral health·2025
Same author

Metabolic Syndrome and Dental Caries Among Adults in the United States: A Cross-Sectional Study From the National Health and Nutrition Examination Survey, 2015-2018.

Cureus·2025
Same author

Update and New Implementation of the MIRAGE Reporting Guidelines for Mass Spectrometry Experiments in Glycoscience.

Molecular & cellular proteomics : MCP·2025
Same author

A Scoping Review of Instruments Used to Measure Weight and Body Composition in Infants Under 1 Year.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2025
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Aug 28, 2025

Author Spotlight: Advancing Protein Glycosylation Research Using a Fully Automated System
05:19

Author Spotlight: Advancing Protein Glycosylation Research Using a Fully Automated System

Published on: June 28, 2024

952

This is GlycoQL.

Catherine Hayes1,2, Vincenzo Daponte1,2, Julien Mariethoz1,2

  • 1Department of Computer Science, University of Geneva, Geneva 1227, Switzerland.

Bioinformatics (Oxford, England)
|September 20, 2022
PubMed
Summary
This summary is machine-generated.

We introduce GlycoQL, a new query language for searching complex glycan structures. This tool enhances glycoprotein analysis, particularly for viruses like SARS-CoV-2, by enabling efficient data retrieval from knowledge bases.

More Related Videos

A Quantitative Glycomics and Proteomics Combined Purification Strategy
11:38

A Quantitative Glycomics and Proteomics Combined Purification Strategy

Published on: March 8, 2016

15.1K
Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
11:21

Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions

Published on: January 20, 2022

3.5K

Related Experiment Videos

Last Updated: Aug 28, 2025

Author Spotlight: Advancing Protein Glycosylation Research Using a Fully Automated System
05:19

Author Spotlight: Advancing Protein Glycosylation Research Using a Fully Automated System

Published on: June 28, 2024

952
A Quantitative Glycomics and Proteomics Combined Purification Strategy
11:38

A Quantitative Glycomics and Proteomics Combined Purification Strategy

Published on: March 8, 2016

15.1K
Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
11:21

Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions

Published on: January 20, 2022

3.5K

Area of Science:

  • Glycomics
  • Bioinformatics
  • Structural Biology

Background:

  • Glycan structures are complex and challenging to search using traditional methods.
  • Existing knowledge bases require specialized syntax for glycan data retrieval.

Purpose of the Study:

  • To introduce GlycoQL, a novel query language for glycan structure searching.
  • To demonstrate the utility of GlycoQL in analyzing glycoprotein glycosylation patterns.

Main Methods:

  • Development of a tree-based ontology (GlySTreeM) for glycan representation.
  • Implementation of the GlycoQL query language for structural matching.
  • Utilizing federated queries with UniProt and GlyConnect databases.

Main Results:

  • GlycoQL enables efficient and targeted searching of glycan structures.
  • The system was successfully applied to analyze Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spike protein glycosylation.
  • Enhanced site annotation was achieved through federated queries.

Conclusions:

  • GlycoQL provides a powerful tool for glycan structure analysis.
  • The integration with existing databases like UniProt and GlyConnect expands analytical capabilities.
  • This approach facilitates deeper understanding of glycoprotein functions and roles in diseases.