@inbook{1ab2675d2f454b8f9b823a08475ac96e,
title = "Discovery of a Hidden Proinflammatory Signaling Proteome Using a Large-Scale, Targeted Antibody Microarray Platform",
abstract = "Dynamic post-translational processes regulate protein expression in eukaryotic cells. However, the processes are difficult to assess on a proteomic scale because protein levels actually reflect the sum of individual biosynthesis and degradation rates. These rates are presently hidden from the conventional proteomic technologies. We present here a novel and dynamic, antibody microarray-based time-resolved approach to simultaneously measure not only the total protein changes but also the rates of biosynthesis of low abundance proteins in the proteome of lung epithelial cells. In this chapter, we describe the feasibility of this technique by investigating the complete proteomic kinetics of 507 low abundance proteins in cultured cystic fibrosis (CF) lung epithelial cells using35[S] methionine or32[P] and the consequences of repair by gene therapy with [wildtype] CFTR. This novel antibody microarray-based technology identifies relevant, hidden proteins whose regulation by the CF genotype would never have been detected by simple measurements of total proteomic masses.",
keywords = "Antibodies, Antibody microarray, Bioinformatics, Biomarkers, Epithelial cells, Proteomics",
author = "Catherine Jozwik and Ofer Eidelman and Meera Srivastava",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2023",
doi = "10.1007/978-1-0716-3163-8\_15",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "219--233",
booktitle = "Methods in Molecular Biology",
}