Reverse phase protein microarrays

Elisa Baldelli, Valerie Calvert, Alex Hodge, Amy VanMeter, Emanuel F. Petricoin, Mariaelena Pierobon*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

40 Scopus citations

Abstract

While genes and RNA encode information about cellular status, proteins are considered the engine of the cellular machine, as they are the effective elements that drive all cellular functions including proliferation, migration, differentiation, and apoptosis. Consequently, investigations of the cellular protein network are considered a fundamental tool for understanding cellular functions. Alteration of the cellular homeostasis driven by elaborate intra- and extracellular interactions has become one of the most studied fields in the era of personalized medicine and targeted therapy. Increasing interest has been focused on developing and improving proteomic technologies that are suitable for analysis of clinical samples. In this context, reverse-phase protein microarrays (RPPA) is a sensitive, quantitative, high-throughput immunoassay for protein analyses of tissue samples, cells, and body fluids. RPPA is well suited for broad proteomic profiling and is capable of capturing protein activation as well as biochemical reactions such as phosphorylation, glycosylation, ubiquitination, protein cleavage, and conformational alterations across hundreds of samples using a limited amount of biological material. For these reasons, RPPA represents a valid tool for protein analyses and generates data that help elucidate the functional signaling architecture through protein-protein interaction and protein activation mapping for the identification of critical nodes for individualized or combinatorial targeted therapy.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages149-169
Number of pages21
DOIs
StatePublished - 2017
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume1606
ISSN (Print)1064-3745

Keywords

  • Cell lysates
  • Immunostaining
  • Proteomics
  • Reverse-phase protein microarray
  • Tissue lysates

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