Infrared imaging of high density protein arrays.

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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.

Published: April 2017

AI Article Synopsis

  • The paper proposes using infrared imaging to analyze protein microarrays without needing any labels like enzymes or fluorescence, allowing for simultaneous data on various protein characteristics.
  • High-density protein spots with about 100 pg of protein were created, enabling the capture of detailed infrared spectra from each pixel of the images produced by infrared detectors.
  • The study further explains how to manage different types of noise in the infrared spectra to achieve high-quality results and concludes that the protein secondary structure remains intact during the microarray process.

Article 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.

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Source
http://dx.doi.org/10.1039/c6an02048hDOI Listing

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