Digital quantification of mutant DNA in cancer patients

Recent advances in dynamic single-molecule analysis platforms for diagnostics: Advantages over bulk assays and miniaturization approaches

Single-molecule science is a unique technique for unraveling molecular biophysical processes. Sensitivity to single molecules provides the capacity for the early diagnosis of low biomarker amounts. Furthermore, the miniaturization of instruments for portable diagnostic tools toward point-of-care testing (POCT) is a crucial development in this field. Herein, we discuss recent developments in single-molecule sensing platforms and their advantages for diagnostics over bulk measurements including molecular size measurements, interaction dynamics, and fast biomarker sensing and sequencing at low concentrations. We highlight the capabilities of dynamic optical and electrical sensing platforms for single-biomolecule and single-vesicle monitoring associated with neurodegenerative disorders, viral diseases, cancers, and more. Current approaches to instrument miniaturization have brought technology closer to portable diagnostics settings via smartphone-based devices, multifunctional portable microscopes, handheld electrical circuit devices, and remote single-molecule assays. Finally, we provide an overview of the clinical applications of single-molecule sensors in POCT assays. Altogether, single-molecule analyses platforms exhibit significant potential for the development of novel portable healthcare devices.

Applicability of droplet digital polymerase chain reaction for minimal residual disease monitoring in Philadelphia-positive acute lymphoblastic leukaemia

In Ph+ acute lymphoblastic leukaemia (Ph+ ALL), minimal residual disease (MRD) is the most relevant prognostic factor. Currently, its evaluation is based on quantitative real‐time polymerase chain reaction (Q‐RT‐PCR). Digital droplet PCR (ddPCR) was successfully applied to several haematological malignancies. We analyzed 98 samples from 40 Ph+ ALL cases, the majority enrolled in the GIMEMA LAL2116 trial: 10 diagnostic samples and 88 follow‐up samples, mostly focusing on positive non‐quantifiable (PNQ) or negative samples by Q‐RT‐PCR to investigate the value of ddPCR for MRD monitoring. DdPCR BCR/ABL1 assay showed good sensitivity and accuracy to detect low levels of transcripts, with a high rate of reproducibility. The analysis of PNQ or negative cases by Q‐RT‐PCR revealed that ddPCR increased the proportion of quantifiable samples (p < 0.0001). Indeed, 29/54 PNQ samples (53.7%) proved positive and quantifiable by ddPCR, whereas 13 (24.1%) were confirmed as PNQ by ddPCR and 12 (22.2%) proved negative. Among 24 Q‐RT‐PCR‐negative samples, 13 (54.1%) were confirmed negative, four (16.7%) resulted PNQ and seven (29.2%) proved positive and quantifiable by ddPCR. Four of 5 patients, evaluated at different time points, who were negative by Q‐RT‐PCR and positive by ddPCR experienced a relapse. DdPCR appears useful for MRD monitoring in adult Ph+ ALL.

dPCR application in liquid biopsies: divide and conquer

Introduction: Precision medicine is already a reality in oncology, since biomarker-driven therapies have clearly improved patient survival. Furthermore, a new, minimally invasive strategy termed 'liquid biopsy' (LB) has revolutionized the field by allowing comprehensive cancer genomic profiling through the analysis of circulating tumor DNA (ctDNA). However, its detection requires extremely sensitive and efficient technologies. A powerful molecular tool based on the principle of 'divide and conquer' has emerged to solve this problem. Thus, digital PCR (dPCR) allows absolute and accurate quantification of target molecules.Areas covered: In this review we will discuss the fundamentals of dPCR and the most common approaches used for partition of samples and quantification. The advantages and limitations of dPCR will be mentioned in the context of LB in oncology.Expert opinion: In our opinion, dPCR has proven to be one of the most sensitive methods available for LB analysis, albeit some aspects such as its capacity of multiplexing and protocol standardization still require further improvements. Furthermore, the increasing sensitivities and lower costs of next generation sequencing (NGS) methods position dPCR as a confirmatory and complementary technique for NGS results which will likely prove to be very useful for treatment monitoring and assessing minimal residual disease.

cfRNAs as biomarkers in oncology - still experimental or applied tool for personalized medicine already?

Currently, the challenges of contemporary oncology are focused mainly on the development of personalized medicine and precise treatment, which could be achieved through the use of molecular biomarkers. One of the biological molecules with great potential are circulating free RNAs (cfRNAs) which are present in various types of body fluids, such as blood, serum, plasma, and saliva. Also, different types of cfRNA particles can be distinguished depending on their length and function: microRNA (miRNA), PIWI-interacting RNA (piRNA), tRNA-derived RNA fragments (tRFs), circular RNA (circRNA), long non-coding RNA (lncRNA), and messenger RNA (mRNA). Moreover, cfRNAs occur in various forms: as a free molecule alone, in membrane vesicles, such as exosomes, or in complexes with proteins and lipids. One of the modern approaches for monitoring patient's condition is a "liquid biopsy" that provides a non-invasive and easily available source of circulating RNAs. Both the presence of specific cfRNA types as well as their concentration are dependent on many factors including cancer type or even reaction to treatment. Despite the possibility of using circulating free RNAs as biomarkers, there is still a lack of validated diagnostic panels, defined protocols for sampling, storing as well as detection methods. In this work we examine different types of cfRNAs, evaluate them as possible biomarkers, and analyze methods of their detection. We believe that further research on cfRNA and defining diagnostic panels could lead to better and faster cancer identification and improve treatment monitoring.

A comparison of culture-based, real-time PCR, droplet digital PCR and flow cytometric methods for the detection of Burkholderia cepacia complex in nuclease-free water and antiseptics

The presence of Burkholderia cepacia complex (BCC) strains has resulted in recalls of pharmaceutical products, since these opportunistic pathogens can cause serious infections. Rapid and sensitive diagnostic methods to detect BCC are crucial to determine contamination levels. We evaluated bacterial cultures, real-time PCR (qPCR), droplet digital PCR (ddPCR), and flow cytometry to detect BCC in nuclease-free water, in chlorhexidine gluconate (CHX) and benzalkonium chloride (BZK) solutions. Twenty BCC strains were each suspended (1, 10, 100, and 1000 CFU/ml) in autoclaved nuclease-free water, 10 μg/ml CHX, and 50 μg/ml BZK. Five replicates of each strain were tested at each concentration (20 strains × 4 concentrations × 5 replicates = 400 tests) to detect BCC using the aforementioned four methods. We demonstrated the potential of ddPCR and flow cytometry as more sensitive alternatives to culture-based methods to detect BCC in autoclaved nuclease-free water and antiseptics samples.

Non-invasive Molecular Detection of Minimal Residual Disease in Papillary Thyroid Cancer Patients

Background: Papillary thyroid cancer (PTC) is the most common type of thyroid malignancy. Serum thyroglobulin (Tg) levels are used to monitor PTC treatment response and recurrences however, in about 25% of the cases the sensitivity of this method is compromised due to either the presence of neutralizing anti-Tg antibodies (TgAb) or the absence of Tg in less differentiated tumors. Up to 80% of PTC tumors harbor the c.1799T>A hotspot mutation in the BRAF gene (BRAF^V600E). Here, we assessed the potential use of plasma cell-free BRAF^V600E mutant tumor DNA (ctDNA) levels in determining the minimal residual tumor status of PTC patients.

Methods: Patients were classified as either having persistent disease (PD) or no evidence of disease (NED) based on clinicopathological assessments. Tumor BRAF^V600E status was determined by both direct sequencing and digital PCR. Plasma total cell-free BRAF^V600 wild type DNA (cfDNA) and ctDNA fractions circulating in the plasma of PTC patients were determined by an emulsion based-digital PCR and total ctDNA was quantified by 3D digital PCR. The total ctDNA levels (copies/ml) were then compared to patients' clinicopathological features.

Results: About 74% (28/38) of tumors harbored the BRAF^V600E mutation. Percent plasma ctDNA fractions for PD patients with BRAF^V600E tumors ranged from 0 to 2.07%, whereas absolute plasma ctDNA copies ranged from 0 to 62 copies. The ctDNA levels accurately detected tumor burden of PTC patients whose tumors harbored BRAF^V600E; median plasma ctDNA copy numbers were significantly higher (Wilcoxon test, p = 0.03) in patients with metastasis (MET) (20 copies/ml) compared to patients with non-metastatic (non-MET) tumors (1 copy/ml). The plasma ctDNA levels (copies/ml) accurately determined the disease status of PTC patients with sensitivity of 86% and specificity of 90% as compared to 78% sensitivity and 65% specificity determined by serum Tg levels (ng/ml) with areas under the curves (AUC) of 0.88 and 0.71, respectively. Intriguingly, plasma total cfDNA levels were significantly higher in patients with no evidence of residual disease (NED) compared to persistent disease (PD) patients.

Conclusions: Our study supports the clinical applicability of plasma ctDNA as biomarker to determine the residual tumor status and tumor burden of PTC patients.

Development of a droplet digital PCR assay for sensitive detection of porcine circovirus 3

Porcine circovirus 3 (PCV3), a newly emerged circovirus, is associated with porcine dermatitis and nephropathy syndrome, reproductive failure and multi-systemic inflammation disease, and is widely distributed in pig populations worldwide. Therefore, developing specific diagnostic assays will be important for controlling this emerging pathogen. In this study, we developed a novel droplet digital PCR (ddPCR) assay targeting the PCV3 cap gene to improve the sensitivity of PCV3 detection. The established assay is highly specific to PCV3, and does not cross react with other important swine pathogens. The assay's detection limit was 1.68 ± 0.29 copies of PCV3 DNA per reaction (n = 8), an approximately 10-fold greater sensitivity than that of our previously developed quantitative real-time PCR (qPCR) assay for the same virus. The ddPCR assay results were highly reproducible, with intra- and inter-assay coefficient of variation values of <9.0%. Of the 239 archived pig tissue and serum samples, 42 tested positive for PCV3 by the ddPCR assay. Among the 42 positive samples, 31 tested positive by the qPCR assay. Notably, PCV3 was detected in the serum samples collected from commercially imported healthy boars from the US, France and the UK during 2011-2017. The overall agreement between the two assays was 95.39% (228/239). Furthermore, the linear regression analysis showed that the ddPCR and the qPCR results were significantly correlated with an R² value of 0.9945. Collectively, these results indicate that the ddPCR assay is a robust diagnostic tool for sensitive detection of PCV3, even in samples with low viral loads.

Interfering effect of maternal cell contamination on invasive prenatal molecular genetic testing

OBJECTIVE

Fetal samples obtained by invasive techniques are prone to maternal cell contamination (MCC), which may lead to false genotyping results. Our aim was to determine 3 molecular genetic tests' sensitivity to MCC.

METHOD

By mixing experiments, 1%, 5%, 10%, 20%, 30%, and 40% MCC was simulated, and significant MCC levels were determined for Sanger DNA sequencing, multiplex ligation-dependent probe amplification (MLPA), and pyrosequencing, a next-generation sequencing method.

RESULTS

For Sanger sequencing, the limit of sensitivity to MCC was 5% to 30%. For MLPA, a higher proportion of MCC (≥40%) was shown to lead to diagnostic uncertainty. In contrast, pyrosequencing proved to be very sensitive to MCC, detecting a proportion as low as 1%.

CONCLUSION

In the case of Sanger sequencing, sensitivity to MCC was variable, while for MLPA, only high levels of MCC proved to be significant. Although the next-generation sequencing method was sensitive to low-level MCC, if MCC level is determined in parallel, accurate quantification of allelic ratios can help to interpret the diagnostic results. Knowledge of significant MCC levels allows correct prenatal diagnosis even if samples are not purely of fetal origin and repeated sampling can be avoided in many of the cases.

Quantitative PCR and Digital PCR for Detection of Ascaris lumbricoides Eggs in Reclaimed Water

The reuse of reclaimed water from wastewater depuration is a widespread and necessary practice in many areas around the world and must be accompanied by adequate and continuous quality control. Ascaris lumbricoides is one of the soil-transmitted helminths (STH) with risk for humans due to its high infectivity and an important determinant of transmission is the inadequacy of water supplies and sanitation. The World Health Organization (WHO) recommends a limit equal to or lower than one parasitic helminth egg per liter, to reuse reclaimed water for unrestricted irrigation. We present two new protocols of DNA extraction from large volumes of reclaimed water. Quantitative PCR (qPCR) and digital PCR (dPCR) were able to detect low amounts of A. lumbricoides eggs. By using the first extraction protocol, which processes 500 mL of reclaimed water, qPCR can detect DNA concentrations as low as one A. lumbricoides egg equivalent, while dPCR can detect DNA concentrations as low as five A. lumbricoides egg equivalents. By using the second protocol, which processes 10 L of reclaimed water, qPCR was able to detect DNA concentrations equivalent to 20 A. lumbricoides eggs. This fact indicated the importance of developing new methodologies to detect helminth eggs with higher sensitivity and precision avoiding possible human infection risks.

Droplet-Based Microfluidics Digital PCR for the Detection of KRAS Mutations

We demonstrate an accurate and sensitive quantification of mutated KRAS oncogene in genomic DNA, using droplet-based microfluidics and digital PCR.

Droplet-Based Digital PCR: Application in Cancer Research

The efficient characterization of genetic and epigenetic alterations in oncology, virology, or prenatal diagnostics requires highly sensitive and specific high-throughput approaches. Nevertheless, with the use of conventional methods, sensitivity and specificity were largely limited. By partitioning individual target molecules within distinct compartments, digital PCR (dPCR) could overcome these limitations and detect very rare sequences with unprecedented precision and sensitivity. In dPCR, the sample is diluted such that each individual partition will contain no more than one target sequence. Following the assay reaction, the dPCR process provides an absolute value and analyzable quantitative data. The recent coupling of dPCR with microfluidic systems in commercial platforms should lead to an essential tool for the management of patients with cancer, especially adapted to the analysis of precious samples. Applications in cancer research range from the analysis of tumor heterogeneity to that of a range of body fluids. Droplet-based dPCR is indeed particularly appropriate for the emerging field of liquid biopsy analysis. In this review, following an overview of the development in dPCR technology and different strategies based on the use of microcompartments, we will focus particularly on the applications and latest development of microfluidic droplet-based dPCR in oncology.

MicroRNA (miRNA) Profiling

MicroRNAs (miRNAs) are small, highly conserved noncoding RNA molecules involved in the regulation of gene expression. Since each miRNA regulates the expression of hundreds of target mRNAs, miRNAs could function as master coordinators, efficiently regulating fundamental cellular processes, including proliferation, apoptosis, and development. Furthermore, miRNAs may provide useful diagnostic and therapeutic targets in a variety of diseases. However, miRNA expression profiling is essential for the investigation of the biological functions and clinical applications of miRNAs. Therefore, in this chapter, we review and discuss commonly used techniques for miRNAs profiling, as well as their advantages and restrictions.

SNPase-ARMS qPCR: Ultrasensitive Mutation-Based Detection of Cell-Free Tumor DNA in Melanoma Patients

Cell-free circulating tumor DNA in the plasma of cancer patients has become a common point of interest as indicator of therapy options and treatment response in clinical cancer research. Especially patient- and tumor-specific single nucleotide variants that accurately distinguish tumor DNA from wild type DNA are promising targets. The reliable detection and quantification of these single-base DNA variants is technically challenging. Currently, a variety of techniques is applied, with no apparent “gold standard”. Here we present a novel qPCR protocol that meets the conditions of extreme sensitivity and specificity that are required for detection and quantification of tumor DNA. By consecutive application of two polymerases, one of them designed for extreme base-specificity, the method reaches unprecedented sensitivity and specificity. Three qPCR assays were tested with spike-in experiments, specific for point mutations BRAF V600E, PTEN T167A and NRAS Q61L of melanoma cell lines. It was possible to detect down to one copy of tumor DNA per reaction (Poisson distribution), at a background of up to 200 000 wild type DNAs. To prove its clinical applicability, the method was successfully tested on a small cohort of BRAF V600E positive melanoma patients.

Performance of Droplet Digital PCR in Non-Invasive Fetal RHD Genotyping - Comparison with a Routine Real-Time PCR Based Approach

Detection and characterization of circulating cell-free fetal DNA (cffDNA) from maternal circulation requires an extremely sensitive and precise method due to very low cffDNA concentration. In our study, droplet digital PCR (ddPCR) was implemented for fetal RHD genotyping from maternal plasma to compare this new quantification alternative with real-time PCR (qPCR) as a golden standard for quantitative analysis of cffDNA. In the first stage of study, a DNA quantification standard was used. Clinical samples, including 10 non-pregnant and 35 pregnant women, were analyzed as a next step. Both methods' performance parameters-standard curve linearity, detection limit and measurement precision-were evaluated. ddPCR in comparison with qPCR has demonstrated sufficient sensitivity for analysing of cffDNA and determination of fetal RhD status from maternal circulation, results of both methods strongly correlated. Despite the more demanding workflow, ddPCR was found to be slightly more precise technology, as evaluated using quantitative standard. Regarding the clinical samples, the precision of both methods equalized with decreasing concentrations of tested DNA samples. In case of cffDNA with very low concentrations, variance parameters of both techniques were comparable. Detected levels of fetal cfDNA in maternal plasma were slightly higher than expected and correlated significantly with gestational age as measured by both methods (ddPCR r = 0.459; qPCR r = 0.438).

A microarray platform for detecting disease-specific circulating miRNA in human serum

Circulating microRNAs (miRNAs) are emerging as potential blood-based biomarkers for cancer and other critical diseases. To profile the expression levels of these tiny molecules, especially in a point-of-care setting, it is imperative to quantify them directly in complex biological fluids. Herein, we report the development of a microarray platform with carboxyl-polyethylene glycol (PEG) as a functional layer and aminated hairpin nucleic acid molecules as target-specific capture probes (CPs). Due to the anti-fouling effect conferred by the carboxyl-PEG layer, we could directly detect as little as 10fM of miRNA targets in 20µl of unprocessed human serum. In contrast to the conventional miRNA microarrays, our platform does not require RNA extraction, labeling and target amplification, thus significantly reducing both the sample preparation steps as well as the total assay duration. The use of specially designed hairpin CPs entails reliable discrimination of miRNA sequences with high sequence homology. A nanoparticle-based detection technique, with the help of differential interference contrast (DIC) microscopy, offers excellent resolution down to a single molecule. With the capability of detecting disease-specific miRNA targets directly in human serum, our microarray platform has potential applications in rapid, minimally invasive clinical diagnostic assays.

Ultrasensitive detection of DNA and RNA based on enzyme-free click chemical ligation chain reaction on dispersed gold nanoparticles

An ultrasensitive colorimetric DNA and RNA assay using a combination of enzyme-free click chemical ligation chain reaction (CCLCR) on dispersed gold nanoparticles (GNPs) and a magnetic separation process has been developed. The click chemical ligation between an azide-containing probe DNA-modified GNP and a dibenzocyclooctyne-containing probe biotinyl DNA occurred through hybridization with target DNA (RNA) to form the biotinyl-ligated GNPs (ligated products). Eventually, both the biotinyl-ligated GNPs and target DNA (RNA) were amplified exponentially using thermal cycling. After separation of the biotinyl-ligated GNPs using streptavidin-modified magnetic beads, the change in intensity of the surface plasmon band at 525 nm in the supernatants was observed by UV/vis measurement and was also evident visually. The CCLCR assay provides ultrasensitive detection (50 zM: several copies) of target DNA that is comparable to PCR-based approaches. Note that target RNA could also be detected with similar sensitivity without the need for reverse transcription to the corresponding cDNA. The amplification efficiency of the CCLCR assay was as high as 82% due to the pseudohomogeneous reaction behavior of CCLCR on dispersed GNPs. In addition, the CCLCR assay was able to discriminate differences in single-base mismatches and to specifically detect target DNA and target RNA from the cell lysate.

Clinical relevance of KRAS-mutated subclones detected with picodroplet digital PCR in advanced colorectal cancer treated with anti-EGFR therapy

PURPOSE

KRAS mutations are predictive of nonresponse to anti-EGFR therapies in metastatic colorectal cancer (mCRC). However, only 50% of nonmutated patients benefit from them. KRAS-mutated subclonal populations nondetectable by conventional methods have been suggested as the cause of early progression. Molecular analysis technology with high sensitivity and precision is required to test this hypothesis.

EXPERIMENTAL DESIGN

From two cohorts of patients with mCRC, 136 KRAS, NRAS, and BRAF wild-type tumors with sufficient tumor material to perform highly sensitive picodroplet digital PCR (dPCR) and 41 KRAS-mutated tumors were selected. All these patients were treated by anti-EGFR therapy. dPCR was used for KRAS or BRAF mutation screening and compared with qPCR. Progression-free survival (PFS) and overall survival (OS) were analyzed according to the KRAS-mutated allele fraction.

RESULTS

In addition to the confirmation of the 41 patients with KRAS-mutated tumors, dPCR also identified KRAS mutations in 22 samples considered as KRAS wild-type by qPCR. The fraction of KRAS-mutated allele quantified by dPCR was inversely correlated with anti-EGFR therapy response rate (P < 0.001). In a Cox model, the fraction of KRAS-mutated allele was associated with worse PFS and OS. Patients with less than 1% of mutant KRAS allele have similar PFS and OS than those with wild-type KRAS tumors.

CONCLUSIONS

This study suggests that patients with mCRC with KRAS-mutated subclones (at least those with a KRAS-mutated subclones fraction lower or equal to 1%) had a benefit from anti-EGFR therapies.

Quantification of Plasma miRNAs by Digital PCR for Cancer Diagnosis

Analysis of plasma microRNAs (miRNAs) by quantitative polymerase chain reaction (qPCR) provides a potential approach for cancer diagnosis. However, absolutely quantifying low abundant plasma miRNAs is challenging with qPCR. Digital PCR offers a unique means for assessment of nucleic acids presenting at low levels in plasma. This study aimed to evaluate the efficacy of digital PCR for quantification of plasma miRNAs and the potential utility of this technique for cancer diagnosis. We used digital PCR to quantify the copy number of plasma microRNA-21-5p (miR-21–5p) and microRNA-335–3p (miR-335–3p) in 36 lung cancer patients and 38 controls. Digital PCR showed a high degree of linearity and quantitative correlation with miRNAs in a dynamic range from 1 to 10,000 copies/μL of input, with high reproducibility. qPCR exhibited a dynamic range from 100 to 1×10⁷ copies/μL of input. Digital PCR had a higher sensitivity to detect copy number of the miRNAs compared with qPCR. In plasma, digital PCR could detect copy number of both miR-21–5p and miR-335–3p, whereas qPCR was only able to assess miR-21–5p. Quantification of the plasma miRNAs by digital PCR provided 71.8% sensitivity and 80.6% specificity in distinguishing lung cancer patients from cancer-free subjects.

Comparison of droplet digital PCR to real-time PCR for quantitative detection of cytomegalovirus

Quantitative real-time PCR (QRT-PCR) has been widely implemented for clinical viral load testing, but a lack of standardization and relatively poor precision have hindered its usefulness. Digital PCR offers highly precise, direct quantification without requiring a calibration curve. Performance characteristics of real-time PCR were compared to those of droplet digital PCR (ddPCR) for cytomegalovirus (CMV) load testing. Tenfold serial dilutions of the World Health Organization (WHO) and the National Institute of Standards and Technology (NIST) CMV quantitative standards were tested, together with the AcroMetrix CMV tc panel (Life Technologies, Carlsbad, CA) and 50 human plasma specimens. Each method was evaluated using all three standards for quantitative linearity, lower limit of detection (LOD), and accuracy. Quantitative correlation, mean viral load, and variability were compared. Real-time PCR showed somewhat higher sensitivity than ddPCR (LODs, 3 log(10) versus 4 log(10) copies/ml and IU/ml for NIST and WHO standards, respectively). Both methods showed a high degree of linearity and quantitative correlation for standards (R(2) ≥ 0.98 in each of 6 regression models) and clinical samples (R(2) = 0.93) across their detectable ranges. For higher concentrations, ddPCR showed less variability than QRT-PCR for the WHO standards and AcroMetrix standards (P < 0.05). QRT-PCR showed less variability and greater sensitivity than did ddPCR in clinical samples. Both digital and real-time PCR provide accurate CMV load data over a wide linear dynamic range. Digital PCR may provide an opportunity to reduce the quantitative variability currently seen using real-time PCR, but methods need to be further optimized to match the sensitivity of real-time PCR.

Highly sensitive and quantitative detection of rare pathogens through agarose droplet microfluidic emulsion PCR at the single-cell level

Genetic alternations can serve as highly specific biomarkers to distinguish fatal bacteria or cancer cells from their normal counterparts. However, these mutations normally exist in very rare amount in the presence of a large excess of non-mutated analogs. Taking the notorious pathogen E. coli O157:H7 as the target analyte, we have developed an agarose droplet-based microfluidic ePCR method for highly sensitive, specific and quantitative detection of rare pathogens in the high background of normal bacteria. Massively parallel singleplex and multiplex PCR at the single-cell level in agarose droplets have been successfully established. Moreover, we challenged the system with rare pathogen detection and realized the sensitive and quantitative analysis of a single E. coli O157:H7 cell in the high background of 100,000 excess normal K12 cells. For the first time, we demonstrated rare pathogen detection through agarose droplet microfluidic ePCR. Such a multiplex single-cell agarose droplet amplification method enables ultra-high throughput and multi-parameter genetic analysis of large population of cells at the single-cell level to uncover the stochastic variations in biological systems.

Teaching single-cell digital analysis using droplet-based microfluidics

Microfluidics allows the manipulation of small quantities of reagents in a high-throughput manner and is therefore highly amenable to single cell characterization and more generally to digital analysis, with applications in fields as varied as genomics, diagnostics, directed evolution, and drug screening. The growing place of microfluidics in biology laboratories encouraged us to develop a teaching method where advanced undergraduate or first-year graduate-level students are taught to fabricate droplet-based microfluidic devices, characterize them, and finally use them to perform a digital analysis of bacterial samples based on a phenotypic marker.

High-throughput droplet digital PCR system for absolute quantitation of DNA copy number

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.

High-throughput droplet digital PCR system for absolute quantitation of DNA copy number

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.

Theoretical design and analysis of multivolume digital assays with wide dynamic range validated experimentally with microfluidic digital PCR

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.

Quantitative and sensitive detection of rare mutations using droplet-based microfluidics

Somatic mutations within tumoral DNA can be used as highly specific biomarkers to distinguish cancer cells from their normal counterparts. These DNA biomarkers are potentially useful for the diagnosis, prognosis, treatment and follow-up of patients. In order to have the required sensitivity and specificity to detect rare tumoral DNA in stool, blood, lymph and other patient samples, a simple, sensitive and quantitative procedure to measure the ratio of mutant to wild-type genes is required. However, techniques such as dual probe TaqMan(®) assays and pyrosequencing, while quantitative, cannot detect less than ∼1% mutant genes in a background of non-mutated DNA from normal cells. Here we describe a procedure allowing the highly sensitive detection of mutated DNA in a quantitative manner within complex mixtures of DNA. The method is based on using a droplet-based microfluidic system to perform digital PCR in millions of picolitre droplets. Genomic DNA (gDNA) is compartmentalized in droplets at a concentration of less than one genome equivalent per droplet together with two TaqMan(®) probes, one specific for the mutant and the other for the wild-type DNA, which generate green and red fluorescent signals, respectively. After thermocycling, the ratio of mutant to wild-type genes is determined by counting the ratio of green to red droplets. We demonstrate the accurate and sensitive quantification of mutated KRAS oncogene in gDNA. The technique enabled the determination of mutant allelic specific imbalance (MASI) in several cancer cell-lines and the precise quantification of a mutated KRAS gene in the presence of a 200,000-fold excess of unmutated KRAS genes. The sensitivity is only limited by the number of droplets analyzed. Furthermore, by one-to-one fusion of drops containing gDNA with any one of seven different types of droplets, each containing a TaqMan(®) probe specific for a different KRAS mutation, or wild-type KRAS, and an optical code, it was possible to screen the six common mutations in KRAS codon 12 in parallel in a single experiment.

PCR-free, microfluidic single molecule analysis of circulating nucleic acids in lung cancer patient serum

Circulating nucleic acid (CNA) has been the focus of much recent research, studied both as a diagnostic marker and as a marker for enrichment of diseased DNA. Among these markers, circulating DNA fragment size has shown promise for discerning the source of CNA molecules in cancer and prenatal diagnostics due to differences in average size between cancer vs. healthy or fetal vs. maternal DNA. We describe a 1-step assay for analyzing circulating DNA size and quantity directly in human serum that replaces complicated nested qPCR analysis. Microfluidic cylindrical illumination confocal spectroscopy and fluorescence burst size analysis were used to individually count and size fluorescently-labeled CNA molecules as they were driven through a microfluidic constriction. First, single molecule sizing was performed on λ Hind III digest DNA to obtain a size calibration curve. A linear relation between DNA length and fluorescent burst size was seen from 564 bp-23.1 kbp. Then, the single molecule assay was used to analyze an in vitro model of DNA fragmentation. Finally, DNA sizing analysis was successfully performed on serum samples from both early and late stage lung cancer patients. This assay was performed directly in patient serum using only a single reagent, a simple DNA intercalating dye. Furthermore, it eliminated the need for DNA isolation or enzymatic amplification. This demonstrates that microfluidic single molecule spectroscopy can be a rapid, facile, and inexpensive alternative to the established PCR-based methods.

Decoding circulating nucleic acids in human serum using microfluidic single molecule spectroscopy

Circulating nucleic acid (CNA) has been the focus of recent research as a noninvasive source of biomarker candidates. Among these markers, DNA fragment size has shown promise for discerning the source of CNA molecules in cancer and prenatal diagnostics. We have developed a one-step assay for analyzing circulating DNA size and quantity directly in human serum. Microfluidic cylindrical illumination confocal spectroscopy and fluorescence burst size analysis are used to individually count and size fluorescently-labeled CNA molecules as they are driven through a microfluidic constriction. First, single molecule sizing was performed on lambda Hind III digest DNA to obtain a size calibration curve. A linear relation between DNA length and burst size was seen from 564 bp to 27.5 kbp. Subsequently, the single molecule assay parameters were optimized. Finally, DNA sizing analysis was performed on serum samples from both early and late stage lung cancer patients. This assay was performed directly in patient serum using only a single reagent, a simple DNA intercalating dye, and without the need for DNA isolation or enzymatic amplification steps. This demonstrates that microfluidic single molecule spectroscopy can be a rapid, facile, and inexpensive alternative to the established PCR-based methods that have been used near exclusively for CNA analysis.

Noninvasive prenatal diagnosis of fetal aneuploidies and Mendelian disorders: new innovative strategies

The application of recent technical developments, such as digital PCR or shot-gun sequencing, for the analysis of cell-free fetal DNA, have indicated that the long-sought goal of the noninvasive detection of Down syndrome may finally be attained. Although these methods are still cumbersome and not high throughput, they provide a paradigm shift in prenatal diagnosis, as they could effectively pronounce the end of invasive procedures, such as amniocentesis or chorionic villous sampling for the detection of such fetal anomalies. However, it remains to be determined how suitable these approaches are for the detection of more subtle fetal genetic alterations, such as those involved in hereditary Mendelian disorders (e.g., thalassemia and cystic fibrosis). New technical developments, such as microfluidics and reliable automated scanning microscopes, have indicated that it may be possible to efficiently retrieve and examine circulating fetal cells. As these contain the entire genomic complement of the fetus, future developments may include the noninvasive determination of the fetal karyotype.

Parallel sequencing used in detection of mosaic mutations: comparison with four diagnostic DNA screening techniques

We have made an evaluation of mutation detection techniques for their abilities to detect mosaic mutations. In this study, Sanger sequencing, single-strand conformation polymorphism (SSCP)/heteroduplex analysis (HD), protein truncation test (PTT), and denaturating high-performance liquid chromatography (DHPLC) were compared with parallel sequencing. In total DNA samples from nine patients were included in this study. Mosaic mutations were artificially constructed from seven of these samples, which were from heterozygote mutation carriers with the mutant allele present at 50%. The mutations analyzed were as follows: c.646C>T, c.2626C>T, c.2828C>A, c.1817_1818insA, c.2788dupA, c.416_419delAAGA, and c.607delC in the APC gene. The lowest degree of mutant alleles detected with SSCP/HD and DHPLC varied between 5% and 25%, and between 15% and 50% for Sanger sequencing. Three of the mutations were analyzed with PTT with considerable variations in detection levels (from 10 to 100%). Using parallel sequencing a detection frequency down to 1% was reached, but to achieve this high sensitivity sufficient coverage was required. Two patients with natural mosaic mutations were also included in this study. These two mutations had previously been identified with Sanger sequencing (NF2 c.1026_1027delGA) and SSCP/HD (APC c.2700_2701delTC). In conclusion, all the evaluated methods are applicable for mosaic mutation screening even though combinations of the conventional methods should be used to reach an adequate sensitivity. Sanger sequencing alone is not sensitive enough to detect low mosaic levels. Parallel sequencing seems to be the ultimate choice but the possibilities to use this technique is today limited by its complexity, economics, and availability of instruments.

Digital PCR: a powerful new tool for noninvasive prenatal diagnosis?

Recent reports have indicated that digital PCR may be useful for the noninvasive detection of fetal aneuploidies by the analysis of cell-free DNA and RNA in maternal plasma or serum. In this review we provide an insight into the underlying technology and its previous application in the determination of the allelic frequencies of oncogenic alterations in cancer specimens. We also provide an indication of how this new technology may prove useful for the detection of fetal aneuploidies and single gene Mendelian disorders.

Quantitative analysis of somatic mitochondrial DNA mutations by single-cell single-molecule PCR

Mitochondrial genome integrity is an important issue in somatic mitochondrial genetics. Development of quantitative methods is indispensable to somatic mitochondrial genetics as quantitative studies are required to characterize heteroplasmy and mutation processes, as well as their effects on phenotypic developments. Quantitative studies include the identification and measurement of the load of pathogenic and non-pathogenic clonal mutations, screening mitochondrial genomes for mutations in order to determine the mutation spectra and characterize an ongoing mutation process. Single-molecule PCR (smPCR) has been shown to be an effective method that can be applied to all areas of quantitative studies. It has distinct advantages over conventional vector-based cloning techniques avoiding the well-known PCR-related artifacts such as the introduction of artificial mutations, preferential allelic amplifications, and "jumping" PCR. smPCR is a straightforward and robust method, which can be effectively used for molecule-by-molecule mutational analysis, even when mitochondrial whole genome (mtWG) analysis is involved. This chapter describes the key features of the smPCR method and provides three examples of its applications in single-cell analysis: di-plex smPCR for deletion quantification, smPCR cloning for clonal point mutation quantification, and smPCR cloning for whole genome sequencing (mtWGS).

Quantitative evaluation of oligonucleotide surface concentrations using polymerization-based amplification

Quantitative evaluation of minimal polynucleotide concentrations has become a critical analysis among a myriad of applications found in molecular diagnostic technology. Development of high-throughput, nonenzymatic assays that are sensitive, quantitative and yet feasible for point-of-care testing are thus beneficial for routine implementation. Here, we develop a nonenzymatic method for quantifying surface concentrations of labeled DNA targets by coupling regulated amounts of polymer growth to complementary biomolecular binding on array-based biochips. Polymer film thickness measurements in the 20–220 nm range vary logarithmically with labeled DNA surface concentrations over two orders of magnitude with a lower limit of quantitation at 60 molecules/μm² (∼10⁶ target molecules). In an effort to develop this amplification method towards compatibility with fluorescence-based methods of characterization, incorporation of fluorescent nanoparticles into the polymer films is also evaluated. The resulting gains in fluorescent signal enable quantification using detection instrumentation amenable to point-of-care settings.

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Defining the blueprint of the cancer genome

It is widely accepted that cancer is a disease caused by accumulation of mutations in specific genes. These tumor-specific mutations provide clues to the cellular processes underlying tumorigenesis and have proven useful for diagnostic and therapeutic purposes. To date, however, only a small fraction of genes has been analyzed and the number and type of alterations responsible for the development of common tumor types are unknown. The determination of the human genome sequence coupled with improvements in sequencing and bioinformatic approaches have made it possible to examine the cancer cell genome in a comprehensive and unbiased manner. Systematic sequencing studies have been performed on gene families involved in signal transduction in several tumor types, and have now been extended to include the majority of protein-coding genes in breast and colorectal cancers. These analyses have identified new genes and pathways that had not been linked previously to human cancer. One example has been the discovery of genetic alterations in the PIK3CA gene encoding p110alpha phosphatidylinositol 3-kinase and in related pathway genes in >30% of colon and breast cancers. These mutational analyses provide a window into the genetic landscape of human cancer, indicate new targets for personalized diagnostic and therapeutic intervention, and suggest lessons for future large-scale genomic analyses in human tumors.

Serial assessment of human tumor burdens in mice by the analysis of circulating DNA

Internal human xenografts provide valuable animal models to study the microenvironments and metastatic processes occurring in human cancers. However, the use of such models is hampered by the logistical difficulties of reproducibly and simply assessing tumor burden. We developed a high-sensitivity assay for quantifying human DNA in small volumes of mouse plasma, enabling in-life monitoring of systemic tumor burden. Growth kinetics analyses of various xenograft models showed the utility of circulating human DNA as a biomarker. We found that human DNA concentration reproducibly increased with disease progression and decreased after successful therapeutic intervention. A marked, transient spike in circulating human tumor DNA occurred immediately after cytotoxic therapy or surgery. This simple assay may find broad utility in target validation studies and preclinical drug development programs.

The genomic landscapes of human breast and colorectal cancers

Human cancer is caused by the accumulation of mutations in oncogenes and tumor suppressor genes. To catalog the genetic changes that occur during tumorigenesis, we isolated DNA from 11 breast and 11 colorectal tumors and determined the sequences of the genes in the Reference Sequence database in these samples. Based on analysis of exons representing 20,857 transcripts from 18,191 genes, we conclude that the genomic landscapes of breast and colorectal cancers are composed of a handful of commonly mutated gene "mountains" and a much larger number of gene "hills" that are mutated at low frequency. We describe statistical and bioinformatic tools that may help identify mutations with a role in tumorigenesis. These results have implications for understanding the nature and heterogeneity of human cancers and for using personal genomics for tumor diagnosis and therapy.