Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published December 28, 2021 | Supplemental Material + Submitted + Published
Journal Article Open

Virtual-Partition Digital PCR for High-Precision Chromosomal Counting Applications

Abstract

Digital PCR (dPCR) is the gold-standard analytical platform for rapid high-precision quantification of genomic fragments. However, current dPCR assays are generally limited to monitoring 1–2 analytes per sample, thereby limiting the platform's ability to address some clinical applications that require the simultaneous monitoring of 20–50 analytes per sample. Here, we present virtual-partition dPCR (VPdPCR), a novel analysis methodology enabling the detection of 10 or more target regions per color channel using conventional dPCR hardware and workflow. Furthermore, VPdPCR enables dPCR instruments to overcome upper quantitation limits caused by partitioning error. While traditional dPCR analysis establishes a single threshold to separate negative and positive partitions, VPdPCR establishes multiple thresholds to identify the number of unique targets present in each positive droplet based on fluorescence intensity. Each physical partition is then divided into a series of virtual partitions, and the resulting increase in partition count substantially decreases partitioning error. We present both a theoretical analysis of the advantages of VPdPCR and an experimental demonstration in the form of a 20-plex assay for noninvasive fetal aneuploidy testing. This demonstration assay─tested on 432 samples contrived from sheared cell-line DNA at multiple input concentrations and simulated fractions of euploid or trisomy-21 "fetal" DNA─is analyzed using both traditional dPCR thresholding and VPdPCR. VPdPCR analysis significantly lowers the variance of the chromosomal ratio across replicates and increases the accuracy of trisomy identification when compared to traditional dPCR, yielding > 98% single-well sensitivity and specificity. VPdPCR has substantial promise for increasing the utility of dPCR in applications requiring ultrahigh-precision quantitation.

Additional Information

© 2021 ChromaCode, Inc. Published by American Chemical Society. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Received: August 17, 2021; Accepted: December 3, 2021; Published: December 14, 2021. The authors thank Jeff Gole and Mimi Wang of ChromaCode, Inc., for making software available to select conserved genomic regions for primer design, Sheila Rosenberg of ChromaCode, Inc., for critique and lively statistical discussions, and Molly Smith of ChromaCode, Inc., for procuring the sheared DNA from the University of California, San Diego (UCSD). The following cell lines/DNA samples were obtained from the NIGMS Human Genetic Cell Repository at the Coriell Institute for Medical Research: NA12878DNA, NA15453DNA, and NA04965DNA. Covaris DNA shearing was conducted at the IGM Genomics Center, UCSD, La Jolla, CA. Author Contributions. L.J. and D.Y. equally to this work. The authors declare the following competing financial interest(s): L.J., D.Y., J.G.A., B.L., J.S., J.B.A., C.M., and A.R. are employees of ChromaCode, Inc., a company that commercializes molecular diagnostic assays. ChromaCode, Inc. solely funded this study. In addition, D.Y., C.M., and A.R. are inventors on patent applications relating to methods described in this manuscript.

Attached Files

Published - acs.analchem.1c03527.pdf

Submitted - 2021.04.29.441975v1.full.pdf

Supplemental Material - ac1c03527_si_001.zip

Supplemental Material - ac1c03527_si_002.pdf

Files

ac1c03527_si_001.zip
Files (80.8 MB)
Name Size Download all
md5:05a508e57326b8bb942bf88a27bd510a
74.3 MB Preview Download
md5:d3d88998e442f822c52bf0541ce65623
94.7 kB Preview Download
md5:6df652bd3fa7292559b69434ef43cdf4
3.8 MB Preview Download
md5:9be88e314783969e64c2807a12f67f89
2.5 MB Preview Download

Additional details

Created:
August 20, 2023
Modified:
October 23, 2023