Personalized Clinical Diagnostics and Beyond: Integrated Ring Resonator Arrays

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PERSONALIZED CLINICAL DIAGNOSTICS AND BEYOND: INTEGRATED RING RESONATOR ARRAYS AS AN ENABLING MULTIPARAMETER ANALYSIS PLATFORM ABSTRACT Paradigm shifts in biology are often catalyzed by innovations in measurement technologies. Genomics and proteomics have revolutionized biology but would not have been possible without developments in capillary sequencing, cDNA microarrays, and mass spectrometry, amongst other enabling technologies. Cancer biology has significantly benefited from the molecular-level detail provided by these tools, allowing elucidation of many perturbations underlying disease onset and progression. Unfortunately, many of the same measurement approaches are not applicable in the clinical setting and thus physicians do not have access to the same detailed biochemical information enjoyed by the academician. As a result, despite our increased knowledge of the molecular bases of cancer, the translation to clinical medicine has lagged significantly behind. This proposal describes a revolutionary biological analysis technology which has the potential to profoundly change the face of clinical medicine and beyond. High density arrays of extraordinarily sensitive integrated microring resonators will allow many gene and protein signatures to be simultaneously quantitated from a single patient sample. Distinguishing features of this technology include: sensitivity allowing PCR-less gene and single protein detection, label-free and real time operation, ultra-high scalability (>50,000 sensors/cm2), automated microfluidic operation, and commercially validated manufacturability via CMOS-compatible processing. To demonstrate the power of this technology, we will generate a molecular disease fingerprint allowing differentiation between three clinically indistinguishable yet biochemically distinct disease pathways underlying the deadly brain cancer glioblastoma multiforme. Importantly, each of these pathways is known to respond effectively to different therapeutic agents, thus personalized diagnosis equates to personalized treatment. We will also utilize this enabling technology to provide insight into profound questions surrounding post-transcriptional gene regulation and heterogeneity within the secreted responses of individual immune cells. This technology promises to broadly impact the landscape of the biomedical sciences, both meeting the clinical diagnostic challenges of today and pioneering the paradigm-shifting discoveries of tomorrow.