Signaling biomarker pattern discovery using reverse phase protein microarray

Understanding the molecular mechanism of aging will allow human beings to develop rationale strategies for therapeutic interventions in aging related diseases. The goal of this study is to investigate the effect of a new protein, Klotho protein, on FGF (fibroblast growth factor) signaling. To identify the signaling molecules, two emerging technologies, high-throughput siRNA (small inference RNA) and reverse phase protein microarray (RPPM) are utilized. To quantitatively analyze the patterns of siRNA knockdowns, we present a Discriminative Feature Pattern Identification System (DFPIS) to identify contributing nuclear hormone receptors. Computational analysis results using HEK293 (human embryonic kidney) cells knocked down from siRNAs and screened by protein microarray were presented.