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Updated: Jul 11, 2026

The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
Development of reverse phase protein microarrays for clinical applications and patient-tailored therapy
Runa Speer1, Julia Wulfkuhle, Virginia Espina
1University of Tubingen, Faculty of Medicine, Department of Obstetrics and Gynecology, Calwer Str. 7, 72076 Tubingen, Germany, and Department of Surgery, Inova Fairfax Hospital Cancer Center, Falls Church, VA, USA.
Abstract:
While genomics provide important information about the somatic genetic changes, and RNA transcript profiling can reveal important expression changes that correlate with outcome and response to therapy, it is the proteins that do the work in the cell. At a functional level, derangements within the proteome, driven by post-translational and epigenetic modifications, such as phosphorylation, is the cause of a vast majority of human diseases. Cancer, for instance, is a manifestation of deranged cellular protein molecular networks and cell signaling pathways that are based on genetic changes at the DNA level. Importantly, the protein pathways contain the drug targets in signaling networks that govern overall cellular survival, proliferation, invasion and cell death. Consequently, the promise of proteomics resides in the ability to extend analysis beyond correlation to causality. A critical gap in the information knowledge base of molecular profiling is an understanding of the ongoing activity of protein signaling in human tissue: what is activated and "in use" within the human body at any given point in time. To address this gap, we have invented a new technology, called reverse phase protein microarrays, that can generate a functional read-out of cell signaling networks or pathways for an individual patient obtained directly from a biopsy specimen. This "wiring diagram" can serve as the basis for both, selection of a therapy and patient stratification.
Insights
Proteomics offers insights into disease mechanisms by analyzing protein activity. New reverse phase protein microarrays reveal active cell signaling pathways in patient biopsies for targeted cancer therapy.
Area of Science:
- Biochemistry
- Molecular Biology
- Oncology
Background:
- Genomics and RNA profiling offer correlative data, but proteins execute cellular functions.
- Disease, including cancer, arises from dysregulated protein networks and signaling pathways.
- Understanding active protein signaling in tissues is crucial for causality and therapeutic targeting.
Purpose of the Study:
- To bridge the gap in understanding active protein signaling in human tissues.
- To introduce a novel technology for functional proteomic analysis.
- To enable personalized medicine through direct patient data.
Main Methods:
- Development of reverse phase protein microarrays (RPPA).
- RPPA technology generates functional readouts of cell signaling.
- Analysis of biopsy specimens to map protein pathway activity.
Main Results:
- RPPA provides a "wiring diagram" of individual patient signaling networks.
- Identifies activated protein pathways in real-time within tissue.
- Demonstrates the potential for functional proteomic profiling.
Conclusions:
- Proteomics analysis, via RPPA, moves beyond correlation to causality in disease understanding.
- This technology facilitates the selection of targeted therapies.
- Enables precise patient stratification for clinical trials and treatment.
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