Article (Scientific journals)
Infrared imaging of high density protein arrays.
De Meutter, Joelle; Vandenameele, Julie; Matagne, André et al.
2017In Analyst
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Keywords :
protein microarrays; protein secondary structure; protein phosphorylation; protein glycosylation; infrared; high-throughput
Abstract :
[en] 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 mum 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.
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
De Meutter, Joelle
Vandenameele, Julie ;  Université de Liège > Département des sciences de la vie > Centre d'ingénierie des protéines
Matagne, André  ;  Université de Liège > Département des sciences de la vie > Enzymologie et repliement des protéines
Goormaghtigh, Erik
Language :
English
Title :
Infrared imaging of high density protein arrays.
Publication date :
2017
Journal title :
Analyst
ISSN :
0003-2654
eISSN :
1364-5528
Publisher :
Royal Society of Chemistry, United Kingdom
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 10 April 2017

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