title: Infrared imaging of high density protein arrays.
abstract: We propose in this paper that protein microarrays could be analysed by infrared imaging in place of enzymatic or fluorescence labelling. This label-free method reports simultaneously a large series of data on the spotted sample (protein secondary structure, phosphorylation, glycosylation, presence of impurities, etc.). In the present work, 100 μm protein spots each containing about 100 pg protein were deposited to form high density regular arrays. Using arrays of infrared detectors, high resolution images could be obtained where each pixel of the image is in fact a full infrared spectrum. With microarrays, hundreds of experimental conditions can be tested easily and quickly, with no further labelling or chemistry of any kind. We describe how the noise present in the infrared spectra can be split into image noise and detector noise. We also detail how both types of noise can be most conveniently dealt with to generate very high quality spectra of less than 100 pg protein. Finally, the results suggest that the protein secondary structure is preserved during microarray building.
authors.affiliation: Center for Structural Biology and Bioinformatics, Laboratory for the Structure and Function of Biological Membranes, Campus Plaine CP206/02, Université Libre de Bruxelles CP206/2, B1050 Brussels, Belgium. egoor@ulb.ac.be.
authors.forename: Joëlle
authors.initials: J
authors.lastname: De Meutter
authors.forename: Julie
authors.initials: J
authors.lastname: Vandenameele
authors.forename: André
authors.initials: A
authors.lastname: Matagne
authors.forename: Erik
authors.initials: E
authors.lastname: Goormaghtigh
mesh_terms: D007091:Image Processing, Computer-Assisted; D040081:Protein Array Analysis; D017433:Protein Structure, Secondary; D017550:Spectroscopy, Fourier Transform Infrared