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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jun 24, 2026

Printed Glycan Array: A Sensitive Technique for the Analysis of the Repertoire of Circulating Anti-carbohydrate Antibodies in Small Animals

Printed Glycan Array: A Sensitive Technique for the Analysis of the Repertoire of Circulating Anti-carbohydrate Antibodies in Small Animals

Published on: February 14, 2019

Peptide microarrays for carbohydrate recognition.

Kathryn W Boltz¹, Maria J Gonzalez-Moa, Phillip Stafford

¹Center for Innovations in Medicine, The Biodesign Institute, Arizona State University, 1001 S. McAllister Ave., Tempe, AZ 85287-5901, USA.

|March 24, 2009

Summary

High density random sequence peptide microarrays enable fast and dependable discovery of artificial carbohydrate receptors. This technology advances the identification of novel synthetic molecules that can bind to carbohydrates.

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Last Updated: Jun 24, 2026

Printed Glycan Array: A Sensitive Technique for the Analysis of the Repertoire of Circulating Anti-carbohydrate Antibodies in Small Animals

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Area of Science:

Biochemistry
Materials Science
Chemical Biology

Background:

Artificial carbohydrate receptors are crucial for various applications, including diagnostics and therapeutics.
Developing efficient methods for identifying these receptors remains a significant challenge in synthetic biology.

Purpose of the Study:

To report the application of high density random sequence peptide microarrays.
To demonstrate a rapid and reliable method for identifying artificial carbohydrate receptors.

Main Methods:

Fabrication of high density random sequence peptide microarrays.
Screening of peptide libraries against target carbohydrates.
Analysis of binding interactions to identify specific carbohydrate receptors.

Main Results:

Successful identification of artificial carbohydrate receptors using the developed microarray platform.
Demonstration of the speed and reliability of the high density random sequence peptide microarray approach.
Characterization of the identified peptide sequences as potential carbohydrate binders.

Conclusions:

High density random sequence peptide microarrays provide a powerful tool for the discovery of artificial carbohydrate receptors.
This method offers a significant advancement in the field of synthetic carbohydrate recognition.
The identified receptors have potential applications in various biomedical and biotechnological fields.