Phosphoprotein Stability in Clinical Tissue and Its Relevance for Reverse Phase Protein Microarray Technology View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2011-07-16

AUTHORS

Virginia Espina , Claudius Mueller , Lance A. Liotta

ABSTRACT

Phosphorylated proteins reflect the activity of specific cell signaling nodes in biological kinase protein networks. Cell signaling pathways can be either activated or deactivated depending on the phosphorylation state of the constituent proteins. The state of these kinase pathways reflects the in vivo activity of the cells and tissue at any given point in time. As such, cell signaling pathway information can be extrapolated to infer which phosphorylated proteins/pathways are driving an individual tumor's growth. Reverse phase protein microarrays (RPMAs) are a sensitive and precise platform that can be applied to the quantitative measurement of hundreds of phosphorylated signal proteins from a small sample of tissue. Pre-analytical variability originating from tissue procurement and preservation may cause significant variability and bias in downstream molecular analysis. Depending on the ex vivo delay time in tissue processing, and the manner of tissue handling, protein biomarkers such as signal pathway phosphoproteins will be elevated or suppressed in a manner that does not represent the biomarker levels at the time of excision. Consequently, assessment of the state of these kinase networks requires stabilization, or preservation, of the phosphoproteins immediately post-tissue procurement. We have employed RPMA analysis of phosphoproteins to study the factors influencing stability of phosphoproteins in tissue following procurement. Based on this analysis we have established tissue procurement guidelines for clinical research with an emphasis on quantifying phosphoproteins by RPMA. More... »

PAGES

23-43

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-61779-286-1_3

DOI

http://dx.doi.org/10.1007/978-1-61779-286-1_3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023898707

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21901591


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