Microarrays, protein

Zichi D., Koga T., Greef C., Ostroff R., Petach H., Photoaptamer technology development of multiplexed microarray protein assays, Clin. Chem. 2002 48 1865-1868. 

In this study, a machine learning model system was developed to classify cell line chemosensitivity exclusively based on proteomic profiling. Using reverse-phase protein lysate microarrays, protein expression levels were measured by 52 antibodies in a panel of 60 human cancer cell (NCI-60) lines. The model system combined several well-known algorithms, including Random forests, Relief, and the nearest neighbor methods, to construct the protein expression-based chemosensitivity classifiers. 

Clinical evaluation and material collection —> ELISA microarray —> Protein sequencing — Data mining tools <-> Drug Discovery... 

Keywords Microarray DNA microarray Carbohydrate microarray Protein microarray Antibody microarray G protein-coupled receptor microarray Cellular microarray Optical biosensor Resonant waveguide grating biosensor Surface plasmon resonance Dynamic mass redistribution... 

Currently, protein expression mapping is often performed by coupled 2DE or HPLC and MS-MS technologies. However, the development of protein microarrays (protein chips) may provide another powerful method to explore protein expression (protein profiling) and function on a genome-wide scale (Fung, 2004 LaBaer and Ramachandran, 2005 Hultschig et al, 2006). Figure 16.8 shows some potential applications for protein microarrays. 

Microarrays. Protein microarrays take a mixture of proteins and add them to antibodies, antigens, enzymes, substrates, membrane receptors, or ligands, which can recognize the protein with which they associate or interact. These specific proteins will light up on an array, or chip, that identifies specific... 

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