PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 1, 2009PROTEOMICS - CLINICAL APPLICATIONS92 citationsOpen Access

Tissue is alive: New technologies are needed to address the problems of protein biomarker pre‐analytical variability

View Full Paper
VEVirginia EspinaCMClaudius MuellerKEKirsten H. Edmiston

Key Points

Key points are not available for this paper at this time.

Abstract

Instability of tissue protein biomarkers is a critical issue for molecular profiling. Pre-analytical variables during tissue procurement, such as time delays during which the tissue remains stored at room temperature, can cause significant variability and bias in downstream molecular analysis. Living tissue, ex vivo, goes through a defined stage of reactive changes that begin with oxidative, hypoxic and metabolic stress, and culminate in apoptosis. Depending on the delay time ex vivo, and reactive stage, protein biomarkers, such as signal pathway phosphoproteins will be elevated or suppressed in a manner which does not represent the biomarker levels at the time of excision. Proteomic data documenting reactive tissue protein changes post collection indicate the need to recognize and address tissue stability, preservation of post-translational modifications, and preservation of morphologic features for molecular analysis. Based on the analysis of phosphoproteins, one of the most labile tissue protein biomarkers, we set forth tissue procurement guidelines for clinical research. We propose technical solutions for (i) assessing the state of protein analyte preservation and specimen quality via identification of a panel of natural proteins (surrogate stability markers), and (ii) using multi-purpose fixative solution designed to stabilize, preserve and maintain proteins, nucleic acids, and tissue architecture.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Espina et al. (2009) studied this question.

synapsesocial.com/papers/6a80b8c404731064ad47480ahttps://doi.org/10.1002/prca.200800001
Ask AI
Helpful
Bookmark
Share
View Full Paper