The fields of "omics" have fundamentally influenced how we do research, how we understand biological systems, and how we search for biomarkers for new diagnostics. Omics is increasingly appreciated for generating hypotheses by enabling unbiased discovery of new phenomena to guide further experiments (Brody et al. 2010;Glass 2010;Kell and Oliver 2004;Lander 2010;Nabel 2009).In 1997, we concluded that, of all the omics, proteomics would most likely yield the most valuable biological and health information, and we set out to use aptamers (single-stranded DNA molecules with high affinity for specific proteins) to conduct unbiased proteomic measurements to interrogate biological systems and identify biomarkers of human disease in order to advance personalized medicine with new diagnostics and treatments. Our goal was to transform proteomics in the way that DNA microarrays transformed genomics. Over the past few years, we have made great progress, and microarrays have played an important role. For highly multiplexed measurements, microarrays elegantly solve the problem of multiplexing through spatial addressing. Advancing microarray technology has been key to advances in omics sciences, and today a large variety of technologies enable applications, from inexpensive microarrays for tens of DNA targets that enable the latest crop of molecular diagnostics (i.e., nucleic acid-based diagnostics) to high-performance microarrays with millions of features for quantitative transcriptomics.