Trypsin and MALDI matrix pre‐coated targets simplify sample preparation for mapping proteomic distributions within biological tissues by imaging mass spectrometry. (24th October 2016)

• Record Type: Journal Article
• Authors: Zubair, Faizan; Laibinis, Paul E.; Swisher, William G.; Yang, Junhai; Spraggins, Jeffrey M.; Norris, Jeremy L.; Caprioli, Richard M.
• Is Part Of: Journal of mass spectrometry. Volume 51:Number 12(2016)
• Page Start: 1168
• Page End: 1179
• Publication Date: 2016-10-24
• Subjects: trypsin pre‐coated targets -- bottom‐up proteomics -- imaging mass spectrometry -- MALDI -- enzymatic digestion -- sample preparation -- FTICR mass spectrometry; Mass spectrometry -- Periodicals; 543.65
• DOI: 10.1002/jms.3888
• Languages: English
• ISSNs: 1076-5174

Abstract

Abstract : Prefabricated surfaces containing α ‐cyano‐4‐hydroxycinnamic acid and trypsin have been developed to facilitate enzymatic digestion of endogenous tissue proteins prior to matrix‐assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS). Tissue sections are placed onto slides that were previously coated with α ‐cyano‐4‐hydroxycinnamic acid and trypsin. After incubation to promote enzymatic digestion, the tissue is analyzed by MALDI IMS to determine the spatial distribution of the tryptic fragments. The peptides detected in the MALDI IMS dataset were identified by Liquid chromatography‐tandem mass spectrometry/mass spectrometry. Protein identification was further confirmed by correlating the localization of unique tryptic fragments originating from common parent proteins. Using this procedure, proteins with molecular weights as large as 300 kDa were identified and their distributions were imaged in sections of rat brain. In particular, large proteins such as myristoylated alanine‐rich C‐kinase substrate (29.8 kDa) and spectrin alpha chain, non‐erythrocytic 1 (284 kDa) were detected that are not observed without trypsin. The pre‐coated targets simplify workflow and increase sample throughput by decreasing the sample preparation time. Further, the approach allows imaging at higher spatial resolution compared with robotic spotters that apply one drop at a time. Copyright © 2016 John Wiley & Sons, Ltd. Abstract :