Signal Transduction Networks Analysis: The Reverse Phase Protein Array

摘要: Virtually any cell- as well non-cell-autonomous process including cell fate specification, growth, motility, proliferation and stemness, requires a series of molecular changes ultimately resulting in modification protein status content or combination both. Indeed, phosphorylation signaling networks orchestrate cellular dynamics to level that is not predictable by analysis DNA RNA sequencing data alone. Therefore, the gold age genomic transcriptomic discoveries, measurement proteins their post-translational modifications still critical for understanding regulate behavior. Several tools are available scientist investigation signal transduction networks, ranging from antibody-based assays mass spectrometry (MS). Among other techniques, Reverse-Phase Protein Microarrays (RPPA) represent an established versatile method quantify extent nature relative over space time. RPPA has been adopted The Cancer Genome Atlas (TCGA) due its sensitivity throughput, making it suitable alternative MS when low amount starting material elevated number samples precludes comprehensive proteome. Here we will (1) discuss relevance studying pathways achieve full comprehension diseases such cancer; (2) describe importance this field compare emerging technologies have used study networks; (3) provide technical description methodology, (4) review most significant published works where pathways. Finally, future perspectives cancer and, important, translational research.