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Facile profiling of molecular heterogeneity by microfluidic digital melt
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 molecul...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157960/ https://www.ncbi.nlm.nih.gov/pubmed/30263958 http://dx.doi.org/10.1126/sciadv.aat6459 |
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author | O’Keefe, Christine M. Pisanic, Thomas R. Zec, Helena Overman, Michael J. Herman, James G. Wang, Tza-Huei |
author_facet | O’Keefe, Christine M. Pisanic, Thomas R. Zec, Helena Overman, Michael J. Herman, James G. Wang, Tza-Huei |
author_sort | O’Keefe, Christine M. |
collection | PubMed |
description | 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 (p14(ARF)). 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. |
format | Online Article Text |
id | pubmed-6157960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61579602018-09-28 Facile profiling of molecular heterogeneity by microfluidic digital melt O’Keefe, Christine M. Pisanic, Thomas R. Zec, Helena Overman, Michael J. Herman, James G. Wang, Tza-Huei Sci Adv Research Articles 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 (p14(ARF)). 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. American Association for the Advancement of Science 2018-09-28 /pmc/articles/PMC6157960/ /pubmed/30263958 http://dx.doi.org/10.1126/sciadv.aat6459 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles O’Keefe, Christine M. Pisanic, Thomas R. Zec, Helena Overman, Michael J. Herman, James G. Wang, Tza-Huei Facile profiling of molecular heterogeneity by microfluidic digital melt |
title | Facile profiling of molecular heterogeneity by microfluidic digital melt |
title_full | Facile profiling of molecular heterogeneity by microfluidic digital melt |
title_fullStr | Facile profiling of molecular heterogeneity by microfluidic digital melt |
title_full_unstemmed | Facile profiling of molecular heterogeneity by microfluidic digital melt |
title_short | Facile profiling of molecular heterogeneity by microfluidic digital melt |
title_sort | facile profiling of molecular heterogeneity by microfluidic digital melt |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157960/ https://www.ncbi.nlm.nih.gov/pubmed/30263958 http://dx.doi.org/10.1126/sciadv.aat6459 |
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