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 Experiment Videos

Large-scale approaches for glycobiology.

Christopher T Campbell1, Kevin J Yarema

  • 1Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.

Genome Biology
|November 10, 2005
PubMed
Summary
This summary is machine-generated.

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

Functional effects of EpCAM N-glycosylation in MDA-MB-468 breast cancer cells.

Scientific reports·2026
Same author

Profiling the pancreatic cancer secretome with metabolic glycoengineering.

The Journal of biological chemistry·2026
Same author

Intranasal and intracerebroventricular delivery of metabolically glycoengineered neural stem cells to enhance post-cardiac arrest brain recovery.

Neural regeneration research·2025
Same author

The prevalence of ENPP1 deficiency in humans with Ossification of the Posterior Longitudinal Ligament and the preclinical efficacy of ENPP1 enzyme therapy in murine Ossification of the Posterior Longitudinal Ligament.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research·2025
Same author

Examining structure-activity relationships of ManNAc analogs used in the metabolic glycoengineering of human neural stem cells.

Biomaterials advances·2025
Same author

Production of site-specific antibody conjugates using metabolic glycoengineering and novel Fc glycovariants.

The Journal of biological chemistry·2024

Glycosylation impacts biological processes, but characterizing complex carbohydrates is challenging. This review explores large-scale techniques to advance glycobiology research and understanding.

Area of Science:

  • Glycobiology
  • Carbohydrate Chemistry
  • Molecular Biology

Background:

  • Glycosylation, the enzymatic process of attaching carbohydrates to proteins and lipids, is crucial for numerous biological functions.
  • While cellular machinery for glycosylation is well-studied, a comprehensive understanding of cellular glycoconjugates is hindered by the complexity of carbohydrate structures.
  • Characterizing these complex carbohydrates presents significant analytical challenges, limiting a complete view of cellular glycosylation.

Purpose of the Study:

  • To review and highlight large-scale techniques that can accelerate progress in the field of glycobiology.
  • To address the challenges associated with characterizing complex carbohydrates in a high-throughput manner.
  • To provide an overview of methods enabling a more complete picture of a cell's glycoconjugates.

Related Experiment Videos

Main Methods:

  • Review of existing literature on large-scale analytical techniques applicable to glycobiology.
  • Focus on methods that facilitate high-throughput analysis of carbohydrates and glycoconjugates.
  • Discussion of technological advancements enabling comprehensive characterization.

Main Results:

  • Identification of various large-scale techniques suitable for accelerating glycobiology research.
  • Demonstration of how these techniques can overcome the challenges of complex carbohydrate analysis.
  • Highlighting the potential for a more complete understanding of cellular glycoconjugates.

Conclusions:

  • Large-scale techniques are essential for overcoming current limitations in glycobiology.
  • Advancements in analytical methodologies are key to a comprehensive understanding of glycosylation.
  • Accelerated progress in glycobiology is achievable through the adoption of high-throughput approaches.