Facile profiling of molecular heterogeneity by microfluidic digital melt

Christine M. O'Keefe, Thomas R. Pisanic, Helena Zec, Michael J. Overman, James G. Herman, Tza Huei Wang

Research output: Contribution to journalArticle

7 Scopus citations


This work presents a digital microfluidic platform called HYPER-Melt (high-density profiling and enumeration by melt) for highly parallelized copy-by-copy DNA molecular profiling. HYPER-Melt provides a facile means of detecting and assessing sequence variations of thousands of individual DNA molecules through digitization in a nanowell microchip array, allowing amplification and interrogation of individual template molecules by detecting HRM fluorescence changes due to sequence-dependent denaturation. As a model application, HYPER-Melt is used here for the detection and assessment of intermolecular heterogeneity of DNA methylation within the promoters of classical tumor suppressor genes. The capabilities of this platform are validated through serial dilutions of mixed epialleles, with demonstrated detection limits as low as 1 methylated variant in 2 million unmethylated templates (0.00005%) of a classic tumor suppressor gene, CDKN2A (p14ARF). The clinical potential of the platform is demonstrated using a digital assay for NDRG4, a tumor suppressor gene that is commonly methylated in colorectal cancer, in liquid biopsies of healthy and colorectal cancer patients. Overall, the platform provides the depth of information, simplicity of use, and single-molecule sensitivity necessary for rapid assessment of intermolecular variation contributing to genetic and epigenetic heterogeneity for challenging applications in embryogenesis, carcinogenesis, and rare biomarker detection.

Original languageEnglish (US)
Article numberaat6459
JournalScience Advances
Issue number9
StatePublished - Sep 26 2018

ASJC Scopus subject areas

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    O'Keefe, C. M., Pisanic, T. R., Zec, H., Overman, M. J., Herman, J. G., & Wang, T. H. (2018). Facile profiling of molecular heterogeneity by microfluidic digital melt. Science Advances, 4(9), [aat6459]. https://doi.org/10.1126/sciadv.aat6459