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Protein expression and sub-cellular localization profiling by DAM | 31220
Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

Protein expression and sub-cellular localization profiling by DAMA (Dissociable Antibody Microarray) staining technology


6th International Conference & Expo on Proteomics

March 29-31, 2016 Atlanta, USA

G Wayne Zhou

A. T Still University, USA

Scientific Tracks Abstracts: J Proteomics Bioinform

Abstract :

Protein microarray is the technology that has the potential use for High-Throughput studies of protein function in biomedical research. Most of the microarrays use the capturing microarray platform that determines the protein expression and modification profiles using lysate of the target samples. We have developed a novel platform called Dissociable Antibody Microarray (DAMA) staining technology that combines the power of immunohistochemical staining with the high throughput of protein microarrays. This technology provides a new approach in the global analysis of protein expression and sub-cellular localization profiling in fixed cells and tissue samples. We have developed the technology and demonstrated its application in potential cancer biomarker identification. We have determined the expression and sub-cellular localization profiles of 360 proteins in breast cells and have identified and validated five proteins with higher expression level in breast cancer cells. Therefore, DAMA staining technology could be a powerful method for global sub-cellular localization and expression profiling of proteome in High-Throughput format.

Biography :

G Wayne Zhou has completed his PhD from Oregon State University and Postdoctoral studies from University of California San Francisco. He is the Associate Professor of the Department of Biochemistry of Kirksville College of Osteopathic Medicine, A. T. Still University, USA. He has published more than 35 papers on Proteomics and Structural biology in peer-reviewed journals.

Email: gwzhou@atsu.edu

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