Gil Alterovitz and Sophia Yuditskaya

ABSTRACT

Recent advances in real-time monitoring of gene expression and protein abundance enable unprecedented opportunities for personalized pharmacodynamics, gene therapy, and patient assessment. However, the sheer complexity of multidimensional genomic and proteomic datasets poses significant challenges for immediate interpretation. Here, we present a novel approach that transforms high-dimensional gene and protein dynamics into auditory representations, or sonification, facilitating intuitive real-time monitoring. Using principal component analysis (PCA), we reduced thousands of gene dimensions to a manageable number of principal components, which were mapped to musical notes and instruments. Application to colon cancer datasets revealed that normal samples produced harmonious sequences, whereas cancer samples exhibited discordant musical patterns reflecting underlying network perturbations. This work demonstrates that sonification provides an effective modality for detecting temporal changes in gene and protein networks, offering a promising tool for clinical and research applications.