Rare-Target Detection From Single Cells
Real-Time Digital PCR With the QuantStudio™ 12K Flex Real-Time PCR System
Detecting Rare Sequences With Digital PCR
dPCR is a valuable tool for detecting target alleles in quantities as low as one copy per cell population. dPCR enables researchers to “count” individual DNA sequences of interest by isolating single molecules prior to the PCR process. Compared with conventional real-time PCR, dPCR offers increased sensitivity and precision, as well as absolute quantification of nucleic acids in samples.
The isolation of single DNA molecules requires partitioning the sample into many independent reaction vessels so that each reaction receives, on average, either one or zero copies of a target sequence. Once individual DNA molecules have been isolated, standard PCR cycling parameters are applied and wells containing DNA are amplified and detected (Figure 1).
Using the QuantStudio™ 12K Flex system and QuantStudio™ Digital PCR Plates, one user can generate more than 49,000 digital PCR data points per day, without the use of robotics. Each QuantStudio™ Digital PCR Plate is pretreated to accept TaqMan® Assays, TaqMan® OpenArray® Digital PCR Master Mix, and your samples—simply mix, load, cycle, and analyze.
Figure 1. Digital PCR enables absolute quantification of target alleles in single cells. To perform digital PCR (dPCR), arrays of nucleic acid mixtures are loaded into many different reaction wells such that each well receives either one or zero copies of the target allele. After running dPCR reactions, the number of copies of a target allele corresponds to the number of wells that emit a fluorescent signal.
Developing Single-Cell Assays for Rare Alleles
Celula develops molecular diagnostic assays for single cells with rare genetic variants. These assays are based on a process that integrates the enrichment of cell populations from primary tissues with the molecular analysis of target cells from aliquots containing 10,000 or fewer cells from these enriched mixtures. The assays are designed to target every cell in a limiting mixture. By reducing background noise that typically obscures limited target signals, they are extremely useful for identifying and quantifying markers that exist in only a few cells in a population.
At each step during cell enrichment, the researchers must analyze aliquots of the cell population, both to count how many cells containing the rare genetic variant are still present and to determine how many cells were lost. Throughout this process, the methods must maximize cell retention in order to maintain enough cells to complete the entire analysis.
The rare-allele detection assay developed by Celula includes the use of both TaqMan® Assays and custom SNP genotyping assays, followed by allelic discrimination analysis. To evaluate whether the QuantStudio™ 12K Flex system generates genotyping data comparable to a standard 384-well real-time PCR system, the researchers compared cluster distribution on the QuantStudio™ 12K Flex system with that on the 7900 Real-Time PCR System. As shown in Figure 2, although data quality was similar for both systems, the 7900 instrument required 10 ng human DNA per reaction, compared with only 0.03 ng for the QuantStudio™ 12K Flex system. Because it can generate genotyping data comparable to a standard real-time PCR instrument but with much less DNA sample and reagent, the QuantStudio™ 12K Flex system can provide significant savings in both sample and reagent costs for rare-allele detection assays.
Figure 2. Comparison of SNP genotyping on two qPCR systems. TaqMan® SNP assays were performed on human genomic DNA samples using (A) the 7900 Real-Time PCR System (10 ng/reaction) or (B) the QuantStudio™ 12K Flex Real-Time PCR System (0.03 ng/reaction). Applied Biosystems® TaqMan® Genotyper software was used for allelic discrimination analysis. Cluster distribution is comparable between the two qPCR platforms. Image reproduced with permission from Celula, Inc.
Distinguishing Positive Signals From Noise
To accurately detect and quantify rare genetic variants in single cells, it is essential to determine whether the signals in positive wells actually reflect the presence of a target allele or locus. Celula runs real-time PCR amplification curves in parallel to the dPCR reaction to help distinguish true signals from background noise—which can result from PCR artifacts or probe degradation. A viable amplification curve indicates a true-positive signal (Figure 3).
Figure 3. Real-time PCR identifies false positives. (A) Results of allelic discrimination following SNP genotyping revealed three potential positives for a rare target allele, one circled in the upper right corner of the plot and two clustered close to the no-template control (NTC) in the lower right. (B) Real-time PCR generated an amplification curve, reflecting the presence of a true positive allele in the upper right. (C) The two data points in the lower right did not generate an amplification curve, indicating that they represent false-positive signals. Image reproduced with permission from Celula, Inc.
Optimizing Rare-Allele Detection in Single Cells
Based on their research, Celula concluded that the QuantStudio™ 12K Flex Real-Time PCR System, when incorporated into their rare-allele detection workflow, offers several advantages over standard real-time PCR for the detection and absolute quantification of rare alleles in a cell population. Importantly, the QuantStudio™ 12K Flex system requires very small amounts of sample and reagents relative to standard real-time PCR, resulting in significant cost savings. Also, because the system can rapidly switch from dPCR to real-time PCR, it can be easily integrated into a quality control workflow to distinguish positive signals from noise.
FOR RESEARCH USE ONLY. NOT FOR USE IN DIAGNOSTIC PROCEDURES.