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Related Experiment Video

Updated: Feb 12, 2026

Peptide-based Identification of Functional Motifs and their Binding Partners

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

Deciphering functional glycosaminoglycan motifs in development.

Robert A Townley¹, Hannes E Bülow²

¹Department of Biological Sciences, Columbia University, New York, NY 10027, United States.

Current Opinion in Structural Biology

|March 27, 2018

Summary

Glycosaminoglycans (GAGs) are crucial for cell communication and development. Recent genetic methods and a proposed coding system help researchers understand GAG structure and function in biological signaling.

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Last Updated: Feb 12, 2026

Peptide-based Identification of Functional Motifs and their Binding Partners

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Published on: June 30, 2013

Detection of Glycosaminoglycans by Polyacrylamide Gel Electrophoresis and Silver Staining

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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

Area of Science:

Biochemistry
Developmental Biology
Genetics

Background:

Glycosaminoglycans (GAGs) are essential linear glycans forming proteoglycans in the extracellular matrix of metazoans.
GAGs undergo extensive modifications (sulfation, deacetylation, epimerization) creating structural motifs.
These motifs are critical for regulating protein-protein interactions and essential GAG functions.

Purpose of the Study:

To review recent genetic approaches for characterizing GAG motifs.
To elucidate the role of GAG motifs in developmental signaling pathways.
To propose a coding system for computational analysis of GAG sequences.

Main Methods:

Review of genetic methodologies for GAG motif characterization.
Analysis of GAG function in developmental signaling pathways.
Discussion of a novel coding approach for GAG sequence analysis.

Main Results:

Genetic approaches provide insights into GAG motif function during development.
Understanding GAG modifications is key to their biological roles.
A GAG coding system could enable advanced computational analyses.

Conclusions:

Recent genetic studies have advanced the understanding of GAG motif roles in development.
A computational framework, including a GAG coding system, is proposed for deeper analysis.
This approach will facilitate the study of GAGs in signaling pathways.