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Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
Published on: August 2, 2015
Overview of protein microarrays
F X Reymond Sutandy1, Jiang Qian, Chien-Sheng Chen
1Graduate Institute of Systems Biology and Bioinformatics, National Central University, Jhongli, Taiwan.
Current Protocols in Protein Science
|April 3, 2013
Summary
Protein microarray technology enables high-throughput protein analysis. This review covers advances and applications in basic and clinical research, including biomarker discovery for autoimmune diseases.
Area of Science:
- Biotechnology
- Proteomics
- Molecular Biology
Background:
- Protein microarrays offer a versatile platform for high-throughput, parallel characterization of numerous proteins.
- The technology has advanced significantly, leading to a surge in applications, particularly for functional protein microarrays.
- Protein microarrays include analytical, functional, and reverse-phase types, utilizing spotted tissue or cell lysates.
Purpose of the Study:
- To review recent advances in protein microarray technologies.
- To illustrate the diverse applications of analytical and functional protein microarrays in research.
- To highlight the utility of protein microarrays in clinical and basic science investigations.
Main Methods:
- Review of current literature on protein microarray fabrication and applications.
- Presentation of case studies showcasing the use of protein microarrays.
- Discussion of different types of protein microarrays: analytical, functional, and reverse-phase.
Main Results:
- Protein microarray technology facilitates the characterization of hundreds of thousands of proteins.
- Applications span detection of protein binding properties, post-translational modifications, and host-microbe interactions.
- Successful use in antibody specificity profiling and biomarker identification for autoimmune diseases.
Conclusions:
- Protein microarrays are a powerful tool for comprehensive protein analysis.
- The technology supports advancements in various research fields, from basic science to clinical diagnostics.
- Future applications are promising for understanding complex biological systems and disease mechanisms.
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