ArticleMethods in molecular biology (Clifton, N.J.)2011
Phosphoprotein stability in clinical tissue and its relevance for reverse phase protein microarray technology.
Article in Methods in molecular biology (Clifton, N.J.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 28 citations in OpenAlex.
- A reverse phase protein array based phospho-antibody characterization approach and its applicability for clinical derived tissue specimens.Scientific reports · 2022Article
- The impact of ultraviolet- and infrared-based laser microdissection technology on phosphoprotein detection in the laser microdissection-reverse phase protein array workflow.Clinical proteomics · 2020Article
- A pilot study exploring the molecular architecture of the tumor microenvironment in human prostate cancer using laser capture microdissection and reverse phase protein microarray.Molecular oncology · 2016Article
- Genetic Testing and Tissue Banking for Personalized Oncology: Analytical and Institutional Factors.Seminars in oncology · 2015Review
- Reverse Phase Protein Arrays-Quantitative Assessment of Multiple Biomarkers in Biopsies for Clinical Use.Microarrays (Basel, Switzerland) · 2015Review
- Application of molecular technologies for phosphoproteomic analysis of clinical samples.Oncogene · 2015Review
- A tissue quality index: an intrinsic control for measurement of effects of preanalytical variables on FFPE tissue.Laboratory investigation; a journal of technical methods and pathology · 2014Article
- Immunohistochemistry of colorectal cancer biomarker phosphorylation requires controlled tissue fixation.PloS one · 2014Article
- Impact of warm ischemia on phosphorylated biomarkers in head and neck squamous cell carcinoma.American journal of translational research · 2014Article
- Molecular analysis of HER2 signaling in human breast cancer by functional protein pathway activation mapping.Clinical cancer research : an official journal of the American Association for Cancer Research · 2012Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.