High-Throughput Droplet Digital PCR System for Absolute Quantitation of DNA Copy Number

Autor: Nicholas G. Erndt, Christopher Hindson, Shenglong Wang, Isaac J. Bright, Dean K. Wittmann, Pallavi Shah, Tyler K. Kitano, Serge Saxonov, Jonathan Petersen, Fred P. Milanovich, Steven Romine, Luz Montesclaros, Phillip Belgrader, Paul Wyatt, John F. Regan, Thomas H. Cauley, Kevin D. Ness, Michael R. Hodel, Luc J. Bousse, Tina C. Legler, Donald A. Masquelier, George Karlin-Neumann, Ryan T. Koehler, Benjamin J. Hindson, Amy L. Hiddessen, Helen E. White, David P. Stumbo, Camille B. Troup, Simant Dube, Michael Y. Lucero, Shawn Hodges, Austin P. So, Erin R. Steenblock, Nicholas J. Heredia, Anthony J. Makarewicz, Bill W. Colston, Jeffrey Clark Mellen, Klint Rose
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Analytical Chemistry
ISSN: 1520-6882
0003-2700
Popis: Digital PCR enables the absolute quantitation of nucleic acids in a sample. The lack of scalable and practical technologies for digital PCR implementation has hampered the widespread adoption of this inherently powerful technique. Here we describe a high-throughput droplet digital PCR (ddPCR) system that enables processing of ~2 million PCR reactions using conventional TaqMan assays with a 96-well plate workflow. Three applications demonstrate that the massive partitioning afforded by our ddPCR system provides orders of magnitude more precision and sensitivity than real-time PCR. First, we show the accurate measurement of germline copy number variation. Second, for rare alleles, we show sensitive detection of mutant DNA in a 100,000-fold excess of wildtype background. Third, we demonstrate absolute quantitation of circulating fetal and maternal DNA from cell-free plasma. We anticipate this ddPCR system will allow researchers to explore complex genetic landscapes, discover and validate new disease associations, and define a new era of molecular diagnostics.
Databáze: OpenAIRE