Theoretical Design and Analysis of Multivolume Digital Assays with Wide Dynamic Range Validated Experimentally with Microfluidic Digital PCR
Abstract
This paper presents a protocol using theoretical methods and free software to design and analyze multivolume digital PCR (MV digital PCR) devices; the theory and software are also applicable to design and analysis of dilution series in digital PCR. MV digital PCR minimizes the total number of wells required for "digital" (single molecule) measurements while maintaining high dynamic range and high resolution. In some examples, multivolume designs with fewer than 200 total wells are predicted to provide dynamic range with 5-fold resolution similar to that of single-volume designs requiring 12 000 wells. Mathematical techniques were utilized and expanded to maximize the information obtained from each experiment and to quantify performance of devices and were experimentally validated using the SlipChip platform. MV digital PCR was demonstrated to perform reliably, and results from wells of different volumes agreed with one another. No artifacts due to different surface-to-volume ratios were observed, and single molecule amplification in volumes ranging from 1 to 125 nL was self-consistent. The device presented here was designed to meet the testing requirements for measuring clinically relevant levels of HIV viral load at the point-of-care (in plasma, <500 molecules/mL to >1 000 000 molecules/mL), and the predicted resolution and dynamic range was experimentally validated using a control sequence of DNA. This approach simplifies digital PCR experiments, saves space, and thus enables multiplexing using separate areas for each sample on one chip, and facilitates the development of new high-performance diagnostic tools for resource-limited applications. The theory and software presented here are general and are applicable to designing and analyzing other digital analytical platforms including digital immunoassays and digital bacterial analysis. It is not limited to SlipChip and could also be useful for the design of systems on platforms including valve-based and droplet-based platforms. In a separate publication by Shen et al. (J. Am. Chem. Soc., 2011, DOI: 10.1021/ja2060116), this approach is used to design and test digital RT-PCR devices for quantifying RNA.
Additional Information
© 2011 American Chemical Society. Received: June 30, 2011; Accepted: September 22, 2011. Publication Date (Web): October 7, 2011. This work was supported by the NIH Director's Pioneer Award program, part of the NIH Roadmap for Medical Research (1 DP1 OD003584) and NIH Grant No. 1R01 EB012946 administered by the National Institute of Biomedical Imaging and Bioengineering and the Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy, under Contract DE-AC02-06CH11357. We thank Mary-Sara McPeek, Margaret Loudermilk, and Ian Foster for helpful discussion of the statistical analysis. Disclosure: F.S. and R.F.I. have a financial interest in SlipChip LLC.Attached Files
Accepted Version - nihms330518.pdf
Supplemental Material - ac201658s_si_001.pdf
Supplemental Material - ac201658s_si_002.zip
Files
Additional details
- PMCID
- PMC3216679
- Eprint ID
- 28457
- DOI
- 10.1021/ac201658s
- Resolver ID
- CaltechAUTHORS:20111213-144640436
- NIH
- 1 DPOD003584
- NIH
- 1R01 EB012946
- Department of Energy (DOE)
- DE-AC02-06CH11357
- Created
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2011-12-14Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field