Genotyping single point mutations in rd1 and rd8 mice using melting curve analysis of qPCR fragments.

PCR is tolerant to single nucleotide mismatches. Therefore, genotyping of point mutations by PCR requires special conditions for the amplification of allele-specific PCR fragments. MS-PCR (mutagenically separated PCR) is an improved version of ARMS (amplification refractory mutation system) in which additional nucleotide mismatches near the mutation site are used to separate the wt fragments from the mutant fragments in a single-tube PCR. In the originally described procedure, the resulting fragments are resolved on agarose gels according to differences in size introduced by different lengths of the allele-specific primers. In order to evaluate the PCR fragments by melting curve analysis, we enlarged the difference in the melting temperatures of the fragments of the two alleles by increasing the GC content of the longer allele-specific primer resulting in a higher melting temperature of the corresponding fragment. Using the murine retinal degeneration mutations rd1 and rd8 as an example, we show that such primers result in an easy to handle genotyping procedure: qPCR followed by melting curve analysis. In summary, MS-PCR is a simple and easy-to-use method for detecting single nucleotide variants.

Machine learning based DNA melt curve profiling enables automated novel genotype detection.

Surveillance for genetic variation of microbial pathogens, both within and among species, plays an important role in informing research, diagnostic, prevention, and treatment activities for disease control. However, large-scale systematic screening for novel genotypes remains challenging in part due to technological limitations. Towards addressing this challenge, we present an advancement in universal microbial high resolution melting (HRM) analysis that is capable of accomplishing both known genotype identification and novel genotype detection. Specifically, this novel surveillance functionality is achieved through time-series modeling of sequence-defined HRM curves, which is uniquely enabled by the large-scale melt curve datasets generated using our high-throughput digital HRM platform. Taking the detection of bacterial genotypes as a model application, we demonstrate that our algorithms accomplish an overall classification accuracy over 99.7% and perform novelty detection with a sensitivity of 0.96, specificity of 0.96 and Youden index of 0.92. Since HRM-based DNA profiling is an inexpensive and rapid technique, our results add support for the feasibility of its use in surveillance applications.

Application of PCR-HRM method for microsatellite polymorphism genotyping in the LDHA gene of pigeons (Columba livia).

High-resolution melting (HRM) is a post-PCR method that allows to discriminate genotypes based on fluorescence changes during the melting phase. HRM is used to detect mutations or polymorphisms (e.g. microsatellites, SNPs, indels). Here, the (TTTAT)3-5 microsatellite polymorphism within intron 6 of the LDHA gene in pigeons was analysed using the HRM method. Individuals (123 homing pigeons) were genotyped using conventional PCR. Birds were classified into groups based on genotype type and the results were tested by qPCR-HRM and verified using sequencing. Based on the evaluated protocol, five genotypes were identified that vary in the number of TTTAT repeat units (3/3, 4/4, 3/4, 4/5, and 5/5). Sequencing have confirmed the results obtained with qPCR-HRM and verified that HRM is a suitable method for identification of three-allele microsatellite polymorphisms. It can be concluded that the high-resolution melting (HRM) method can be effectively used for rapid (one-step) discrimination of the (TTTAT)3-5 microsatellite polymorphism in the pigeon's LDHA gene.

Evaluation of high-resolution melt curve analysis for rapid differentiation of Campylobacter hepaticus from other species in birds.

Spotty liver disease (SLD) is a bacterial disease of chicken, causing mortalities and reduction in egg production, hence, contributing to economic loss in the poultry industry. The causative agent of SLD has only recently been identified as a novel Campylobacter species, Campylobacter hepaticus. Specific primers were designed from the hsp60 gene of Campylobacter hepaticus and PCR followed by high-resolution melt curve analysis was optimised to detect and differentiate three species of Campylobacter (Campylobacter coli, Campylobacter jejuni and Campylobacter hepaticus). The three Campylobacter species produced a distinct curve profile and was differentiated using HRM curve analysis. The potential of the PCR-HRM curve analysis was shown in the genotyping of 37 Campylobacter isolates from clinical specimens from poultry farms. PCR-HRM curve analysis of DNA extracts from bile samples or cultures from bile samples, were identified as Campylobacter hepaticus and confirmed by DNA sequencing. The DNA sequence analysis of selected samples from each of the three HRM distinctive curves patterns showed that each DNA sequence was associated with a unique melt profile. The potential of the PCR-HRM curve analysis in genotyping of Campylobacter species was also evaluated using faecal specimens from 100 wild birds. The results presented in this study indicate that PCR followed by HRM curve analysis provides a rapid and robust technique for genotyping of Campylobacter species using either bacterial cultures or clinical specimens.

Dried Blood Spot Screening System for Spinal Muscular Atrophy with Allele-Specific Polymerase Chain Reaction and Melting Peak Analysis.

Background and Aim: Spinal muscular atrophy (SMA) is a lower motor neuron disease with autosomal recessive inheritance caused by homozygous SMN1 deletions. Although SMA has been considered as incurable, newly developed drugs improve life prognoses and motor functions of patients. To maximize the efficacy of the drugs, SMA patients should be treated before symptoms become apparent. Thus, newborn screening for SMA is strongly recommended. In this study, we aim to establish a new simple screening system based on DNA melting peak analysis. Materials and Methods: A total of 124 dried blood spot (DBS) on FTA® ELUTE cards (51 SMN1-deleted patients with SMA, 20 carriers, and 53 controls) were punched and subjected to direct amplification of SMN1 and CFTR (reference gene). Melting peak analyses were performed to detect SMN1 deletions from DBS samples. Results: A combination of allele-specific polymerase chain reaction (PCR) and melting peak analyses clearly distinguished the DBS samples with and without SMN1. Compared with the results of fresh blood samples, our new system yielded 100% sensitivity and specificity. The advantages of our system include (1) biosafe collection, transfer, and storage for DBS samples, (2) obviating the need for DNA extraction from DBS preventing contamination, (3) preclusion of fluorescent probes leading to low PCR cost, and (4) fast and high-throughput screening for SMN1 deletions. Conclusion: We demonstrate that our system would be applicable to a real-world newborn screening program for SMA, because our new technology is efficient for use in routine clinical laboratories that do not have highly advanced PCR instruments.

A pilot study demonstrating the identification of Trypanosoma brucei gambiense and T. b. rhodesiense in vectors using a multiplexed high-resolution melt qPCR.

Human African Trypanosomiasis (HAT) is a potentially fatal parasitic infection caused by the trypanosome sub-species Trypanosoma brucei gambiense and T. b. rhodesiense transmitted by tsetse flies. Currently, global HAT case numbers are reaching less than 1 case per 10,000 people in many disease foci. As such, there is a need for simple screening tools and strategies to replace active screening of the human population which can be maintained post-elimination for Gambian HAT and long-term for Rhodesian HAT. Here, we describe the proof of principle application of a novel high-resolution melt assay for the xenomonitoring of Trypanosoma brucei gambiense and T. b. rhodesiense in tsetse. Both novel and previously described primers which target species-specific single copy genes were used as part of a multiplex qPCR. An additional primer set was included in the multiplex to determine if samples had sufficient genomic material for detecting genes present in low copy number. The assay was evaluated on 96 wild-caught tsetse previously identified to be positive for T. brucei s. l. of which two were known to be positive for T. b. rhodesiense. The assay was found to be highly specific with no cross-reactivity with non-target trypanosome species and the assay limit of detection was 104 tryps/mL. The qPCR successfully identified three T. b. rhodesiense positive flies, in agreement with the reference species-specific PCRs. This assay provides an alternative to running multiple PCRs when screening for pathogenic sub-species of T. brucei s. l. and produces results in less than 2 hours, avoiding gel electrophoresis and subjective analysis. This method could provide a component of a simple and efficient method of screening large numbers of tsetse flies in known HAT foci or in areas at risk of recrudescence or threatened by the changing distribution of both forms of HAT.

A newborn screening pilot study using methylation-sensitive high resolution melting on dried blood spots to detect Prader-Willi and Angelman syndromes.

Prader-Willi (PWS) and Angelman (AS) syndromes are two clinically distinct imprinted disorders characterized by genetic abnormalities at 15q11-q13. Early diagnosis of both syndromes provides improved treatment and accurate genetic counseling. Whole blood (WB) is the most common DNA source of many methodologies to detect PWS and AS, however, the need of WB makes a massive screening difficult in newborns due to economic and technical limitations. The aim of this study was to adapt a Methylation-sensitive High-Resolution Melting (MS-HRM) approach from dried blood spot (DBS) samples, assessing the different DNA isolation techniques and diagnostic performance. Over a 1-year period, we collected 125 DBS cards, of which 45 had already been diagnosed by MS-HRM (20 PWS, 1 AS, and 24 healthy individuals). We tested three different DBS-DNA extraction techniques assessing the DNA concentration and quality, followed by MS-HRM and statistical comparison. Each DBS-DNA extraction method was capable of accuracy in detecting all PWS and AS individuals. However, the efficiency to detect healthy individuals varied according to methodology. In our experience, DNA extracted from DBS analyzed by the MS-HRM methodology provides an accurate approach for genetic screening of imprinting related disorders in newborns, offering several benefits compared to traditional whole blood methods.

Molecular identification of Candida isolates by Real-time PCR-high-resolution melting analysis and investigation of the genetic diversity of Candida species.

BACKGROUND: Candida species are considered as the cause of one of the most important opportunistic fungal diseases. Accurate identification of Candida species is important because of antifungal susceptibility patterns are different among these species, so proper identification helps in the selection of antifungal drugs for the prevention and treatment. Phenotypic methods for identification of Candida species, which are widely used in clinical microbiology laboratories, have some limitations. Real-time PCR followed by the high-resolution melting analysis (HRMA) is a novel approach for the rapid recognition of pathogenic fungi. Molecular phylogeny is essential for obtaining a better understanding of the evolution of the genus Candida and the identification of the relative degree of the Candida species. The purpose of this study was molecular identification of Candida isolates by Real-time PCR-high-resolution melting analysis and investigation of the genetic diversity of Candida species. METHODS: Two hundred and thirty-two Candida isolates including 111 Candida isolates obtained from 96 HIV/AIDS patients and 121 Candida isolates obtained from 98 non-HIV persons were identified by real-time PCR and high-resolution melting curve analysis. To evaluate genetic diversity and relationships among Candida species, PCR products of nine clinical Candida isolates, as a representative of each kind of species, were randomly selected for DNA sequence analysis. RESULTS: In HIV/AIDS patients, six species of Candida spp. were identified as follows: C albicans (n = 64; 57.7%), C glabrata (n = 31; 27.92%), C parapsilosis (n = 9; 8.1%), C tropicalis (n = 4; 3.6%), C krusei (n = 2; 1.8%), and C kefyr (n = 1; 0.90%). In non-HIV persons, we identified eight species of Candida including C albicans (n = 46; 38.33%) followed by C glabrata and C krusei (each one, n = 18; 15%), C tropicalis (n = 13; 10.83%), C lusitaniae (n = 12; 5.17%), C parapsilosis (n = 10; 4.31%), and C kefyr and C guillermondii (each one, n = 2; 1.66%). Also, the phylogenetic analysis showed the presence of two main clades and six separate subclades. Accordingly, about 88.9% of the isolates were located in clade I and 11.10% of the studied isolates were in clade II. CONCLUSIONS: Real-time PCR followed by high-resolution melting analysis (HRMA) is known as a reliable, fast, and simple approach for detection and accurate identification of Candida species, especially in clinical samples.

High resolution melting profiles (HRMPs) obtained by magnetic induction cycler (MIC) have been used to monitor the BRCA2 status highlighted by next generation tumor sequencing (NGTS): a combined approach in a diagnostic environment.

Resistance can be the result of secondary tissue variants (STVs), which restore the open reading frame of the germline BRCA allele, producing functional BRCA protein in germline BRCA1/2 (BRCA) pathogenic variant (PV) carriers, treated with platinum-based chemotherapy or poly-(ADP-ribose) polymerase inhibitors (PARP-1). We reported recently a BRCA2 mutant high grade serous ovarian cancer (HGSOC) patient with acquired resistance to the PARP-1 olaparib due to a STV detected by next generation tumor sequencing (NGTS). The aim of this study was to evaluate the versatility of the high-resolution melting analysis (HRMA) obtained by magnetic induction cycler (MIC) to monitor the BRCA2 status in formalin-fixed paraffin-embedded (FFPE) tissue samples of this patient and to compare the results obtained by NGTS. HRMA highlighted the BRCA2 STV previously detected in the IIIrd HGSOC recurrence following the tissue BRCA2 tissue status comparing the high resolution melting profiles (HRMPs). HRMPs differentiate not only BRCA2 alleles, but also their different allele abundance. We underline that (1) the MIC uses a latest generation technology guaranteeing temperature uniformity and maintenance in each well allowing high and accurate performance to obtain reported results and (2) the HRMA maintains a high sensitivity and specificity when it is performed on FFPE samples. Finally, this study represents an additional use of the HRMA, confirming its extreme versatility in the diagnostic environment.

Implementation of high-resolution melting analysis of the porcupine (PORCN) gene for molecular diagnosis of focal dermal hypoplasia: Identification of a novel mutation.

BACKGROUND: Focal dermal hypoplasia (FDH) is rare X-linked dominant disease characterized by atrophy and linear pigmentation of the skin, split hand/foot deformities and ocular anomalies. FDH is caused by mutations of the Porcupine (PORCN) gene, which encodes an enzyme that catalyzes the palmitoylation of Wnt ligands required for their secretion. High resolution melting analysis (HRM) is a technique that allows rapid, labor-efficient, low-cost detection of genomic variants. In the present study, we report the successful implementation of HRM in the molecular diagnosis of FDH. METHODS: Polymerase chain reaction and HRM assays were designed and optimized for each of the coding exons of the PORCN gene, processing genomic DNA samples form a non-affected control and a patient complying with the FDH diagnostic criteria. The causal mutation was characterized by Sanger sequencing from an amplicon showing a HRM trace suggesting heterozygous variation and was validated using an amplification-refractory mutation system (ARMS) assay. RESULTS: The melting profiles suggested the presence of a variant in the patient within exon 1. Sanger sequencing revealed a previously unknown C to T transition replacing a glutamine codon for a premature stop codon at position 28, which was validated using ARMS. CONCLUSIONS: Next-generation sequencing facilitates the molecular diagnosis of monogenic disorders; however, its cost-benefit ratio is not optimal when a single, small or medium size causal gene is already identified and the clinical diagnostic presumption is strong. Under those conditions, as it is the case for FDH, HRM represents a cost- and labor-effective approach.

Detection of extended-spectrum beta-lactamase cefotaxime resistance and virulence genes in Escherichia coli by duplex quantitative real-time PCR and melt curve analysis.

Emerging virulent and antibiotic-resistant pathogens present a global public health risk. Routine monitoring of prevalence within the clinical, environmental and food production setting is vital. Quantitative real-time PCR (qPCR) coupled with melting curve analysis can rapidly and accurately characterize pathogens. We evaluated commercial qPCR mixes based on SYBR Green l and EvaGreen for developing an assay for simultaneously detecting antibiotic resistance (extended-spectrum beta-lactamase, ESBL and blaCTX-M ) and virulence (stx1, stx2 and eae) genes in Escherichia coli (n = 12) isolated from irrigation water and irrigated vegetables. SYBR Green and EvaGreen detected two amplicons (stx1 and blaCTX-M ) and (stx2 and eae) in a single reaction. A higher mean melting temperature (Tm ) separation between targeted amplicons and smoother melting curves were observed with the EvaGreen suggesting better performance when targeting multiple amplicons. Through simple stepwise optimization of DNA, cycling, primers, reaction volume and melting curve scanning rate, we adopted a conventional PCR assay for detection of large amplicons (375-1580 bp) for qPCR. This may facilitate development of cost-effective tailor-made assays for rapid and accurate monitoring of emerging foodborne and environmental pathogens in resource constrained regions.

A DNA Switch for Detecting Single Nucleotide Polymorphism within a Long DNA Sequence Under Denaturing Conditions.

DNA detection is usually conducted under nondenaturing conditions to favor the formation of Watson-Crick base-paring interactions. However, although such a setting is excellent for distinguishing a single-nucleotide polymorphism (SNP) within short DNA sequences (15-25 nucleotides), it does not offer a good solution to SNP detection within much longer sequences. Here we report on a new detection method capable of detecting SNP in a DNA sequence containing 35-90 nucleotides. This is achieved through incorporating into the recognition DNA sequence a previously discovered DNA molecule that forms a stable G-quadruplex in the presence of 7 molar urea, a known condition for denaturing DNA structures. The systems are configured to produce both colorimetric and fluorescent signals upon target binding.

Spliceogenic analysis of BRCA1 c.439T>C (rs794727800) variant by High Resolution Melting Analysis.

Correct classification of genomic variants causing potentially aberrant splicing is of utmost importance for patient management, especially in clinically actionable genes such as BRCA1/2. In this article, we report molecular evaluation of the BRCA1 c.439T>C (rs794727800, p.Leu147=) variant based on RNA of a patient suffering with high-grade serous ovarian cancer syndrome, to add new evidence to the only in silico data available for this variant. High Resolution Melting Analysis (HRMA) was used for the first time to investigate the spliceogenicity of a BRCA1 variant. HRMA with Sanger sequencing provided evidence that the c.439C allele does not cause aberrant splicing of the BRCA1 exon 7. In addition, HRMA with Sanger highlighted a different expression of the naturally occurring BRCA1 r.442_444del (c.442_444delCAG, p.Gln148del, at DNA level) isoform between blood and tumor, in this patient. HRMA is an alternative molecular approach to analyze spliceogenic properties of the c.439T>C variant and potentially for all those BRCA1/2 variants affecting splicing sites. These new evidences allowed to classify definitively the c.439T>C variant as benign. Furthermore, the different BRCA1 r.442_444del expression opens the discussion to consider a wider classification criteria for the splicing variants, including molecular evaluation at tissue level, which is an aspect currently scarcely considered in BRCA1/2 variant classification recommendations.

Detection of Mutations in Mycobacterium tuberculosis pncA Gene by Modified High-Resolution Melting Curve Analysis of PCR Products.

We developed a protocol for detection of mutations in the pncA gene associated with M. tuberculosis resistance to pyrazinamide by analyzing melting curves of 7 overlapping amplicons with artificial heteroduplex formation (H-HRM) formed by co-amplification of wild-type DNA and test DNA and compared its efficiency and robustness with those of classical HRM analysis. Using HRM and H-HRM, we analyzed 35 PZAR DNA isolates carrying mutations in the pncA gene, 3 PZAR isolates without mutations in the pncA gene, and 20 PZAS isolates without mutations in the pncA gene were analyzed. The sensitivity and specificity of HRM for detection of mutations in the pncA gene were moderate: 88.57% (CI 73.26%-96.80%) and 82.61% (CI 61.22%-95.05%), respectively. The sensitivity of the H-HRM test was 97.14% (CI 85.08%-99.93%) and specificity was 95.65% (CI 78.05%-99.89%), with a significant improvement in accuracy - 96.55% vs. 93.85% for HRM. In general, despite addition stage of equalizing the concentrations of the test and control mycobacterial DNA, H-HRM showed greater stability and reproducibility at standard settings of the melting curve analysis software.

High-resolution melt curve analysis: A real-time based multipurpose approach for diagnosis and epidemiological investigations of parasitic infections.

BACKGROUND: Real-time PCR coupled with high resolution melting curve analysis is a practical technique that could be employed in multipurpose studies. During the recent decade, this technique has been practiced for different targets, worldwide. METHODS: In the current study three major database centers consisted of PubMed, Scopus and Web of Science were searched until Aug 2019 for applications of HRM real-time PCR in parasitology studies using terms: "Parasite" AND "HRM real-time PCR" OR "High Resolution Melting curve analysis" OR "Real-time PCR", "Protozoan parasites" AND "HRM real-time PCR" OR "High Resolution Melting curve analysis" OR "Real-time PCR", "Helminth" AND "HRM real-time PCR" OR "High Resolution Melting curve analysis" OR "Real-time PCR". RESULTS: Totally, 83 papers met our criteria and were included in our study. This method was more frequently used for protozoan parasites (52/83; 62.65%), while lower (31/83; 37.35%) studies were incorporated on helminths parasites. Furthermore, Plasmodium spp., and Leishmania spp., were the most prevalent protozoan parasites, and Taenia spp., and filers were the most frequent helminths that were studied by HRM real-time PCR. CONCLUSION: HRM real-time PCR is a sensitive, flexible and cost-effective method that could be used for multipurpose studies.

Development and Cross-Validation of High-Resolution Melting Analysis-Based Cardiovascular Pharmacogenetics Genotyping Panel.

AIMS: This study was designed to develop a high-resolution melting (HRM) analysis-based cardiovascular (CV) pharmacogenetics (PGx) genotyping panel for the Canon DNA Genetic Analyzer multiplex genotyping platform and cross-validate its performance with the TaqMan®-based OpenArray® method. METHODS: The CV PGx genotyping panel containing 17 single nucleotide polymorphisms (SNPs) selected from 5 genes (CYP2C9, CYP2C19, CYP4F2, SLCO1B1, and VKORC1) and the CYP2C cluster was used to compare genotyping results between analysis methods. Genomic DNA from 223 clinical samples was used to genotype the 17 SNPs on the Canon DNA Genetic Analyzer and TaqMan OpenArray Quant Studio Real-Time PCR (polymerase chain reaction) System. RESULTS: The concordance between the Canon DNA analyzer and TaqMan-based OpenArray genotyping results for the 17 SNPs ranged from 99.10% to 100% where SNPs (rs4244285, rs12248560, rs4986893, rs72552267, rs28399504, rs4149056, rs28371686, rs9332131, rs72558189, rs9923231, rs12777823), (rs41291556, rs1799853, rs7900194, rs28371685, rs2108622), and (rs1057910) showed 100%, 99.60%, and 99.10% concordance, respectively. CONCLUSION: These results show that the HRM analysis-based CV PGx genotyping panel performed well when compared with TaqMan-based OpenArray. The multiple genetic variant testing capability, efficient turnaround time and reproducibility of both assays formats suggest that the PGx panel with the DNA analyzer or other real-time PCR instruments with HRM assay analysis capability can be used for PGx testing in both research and clinical practice settings.

Evaluation of the potential clinical prognostic value of lncRNA-BANCR gene in esophageal squamous cell carcinoma.

Esophageal squamous cell carcinoma (ESCC) is the seventh most common cause of cancer death in worldwide. LncRNA-BANCR is a long non-coding RNA (lncRNA), which has made new windows in cancer investigations. The aim of this survey was to determine the lncRNA-BANCR gene expression changes in patients with ESCC. In case-control investigation was performed on 150 formalin fixed-paraffin embedded tissues (75 cancerous and 75 non-cancerous tissues) of ESCC patients. The lncRNA-BANCR gene expression alteration was assessed by Real-Time PCR technique. Our findings revealed that lncRNA-BANCR gene expression was increased significantly in tumor tissues compared with the non-cancerous tissues (p = 0.0025). In addition, lncRNA-BANCR gene expression changes was positively associated with the lymph node metastasis (p = 0.013), tumor differentiation (p = 0.019) and tumor stage (p = 0.017). Our results suggest a possible role of lncRNA-BANCR in proliferation of esophageal tissues and may be considered as a potential prognostic value for ESCC metastasis.

Comprehensive Validation of Snapback Primer-Based Melting Curve Analysis to Detect Nucleotide Variation in the Codon 12 and 13 of KRAS Gene.

BACKGROUND: KRAS genotyping in tumor samples is a decisive clinical test for the anti-EGFR therapy management. However, the complexity of KRAS mutation landscape across different cancer types and the mosaic effect caused by cancer cellularity and heterogeneity make the choice of KRAS genotyping method a challenging topic in the clinical practice. METHODS: We depicted the landscape of somatic KRAS mutation in 7,844 primary tumors and 10,336 metastatic tumors across over 30 types of cancer using the Cancer Genome Atlas (TCGA) and Integrated Mutation Profiling of Actionable Cancer Targets (MSKCC-IMPACT) databases, respectively. A snapback primer assay based on melting curve analysis was developed to detect the most common somatic mutations in KRAS codons 12 and 13. The sensitivity and accuracy of the method was validated by genotyping 100 colorectal cancer (CRC) samples, in comparison with Sanger sequencing and T-A cloning sequencing. RESULTS: Pancreas adenocarcinoma (somatic mutation frequency 90.6%), colorectal adenocarcinoma (42.5%), and lung adenocarcinoma (32.6%) are the top three most KRAS mutant primary cancer types. The metastatic tumors showed a higher prevalence (90.99% versus 66.31%) and diversity of KRAS mutation compared with the primary tumors. Mutations in codons 12 and 13 are the predominant genetic alteration in KRAS (84.15% for TCGA and 86.13% for MSK-IMPACT). Moreover, KRAS mutation is highly correlated with the overall survival of patients with metastatic cancer. The snapback primer assay showed a more favorable performance in enriching and detecting the KRAS codon 12 and 13 mutation (1% mutation load) compared with Sanger sequencing (20% mutation load and 7% false-negative rate). CONCLUSIONS: KRAS mutation pattern is highly diverse among different cancer types and is associated with the survival of patients with metastatic cancers. The snapback primer assay is a reliable, sensitive method to detect the major mutant KRAS alleles, which might facilitate the effective cancer treatment decisions.

Denaturation-Enhanced Droplet Digital PCR for Liquid Biopsies.

BACKGROUND: Although interest in droplet-digital PCR technology (ddPCR) for cell-free circulating DNA (cfDNA) analysis is burgeoning, the technology is compromised by subsampling errors and the few clinical targets that can be analyzed from limited input DNA. The paucity of starting material acts as a "glass ceiling" in liquid biopsies because, irrespective how analytically sensitive ddPCR techniques are, detection limits cannot be improved past DNA input limitations. METHODS: We applied denaturation-enhanced ddPCR (dddPCR) using fragmented genomic DNA (gDNA) with defined mutations. We then tested dddPCR on cfDNA from volunteers and patients with cancer for commonly-used mutations. gDNA and cfDNA were tested with and without end repair before denaturation and digital PCR. RESULTS: By applying complete denaturation of double-stranded DNA before ddPCR droplet formation the number of positive droplets increased. dddPCR using gDNA resulted in a 1.9-2.0-fold increase in data-positive droplets, whereas dddPCR applied on highly-fragmented cfDNA resulted in a 1.6-1.7-fold increase. End repair of cfDNA before denaturation enabled cfDNA to display a 1.9-2.0-fold increase in data-positive signals, similar to gDNA. Doubling of data-positive droplets doubled the number of potential ddPCR assays that could be conducted from a given DNA input and improved ddPCR precision for cfDNA mutation detection. CONCLUSIONS: dddPCR is a simple and useful modification in ddPCR that enables extraction of more information from low-input clinical samples with minor change in protocols. It should be applicable to all ddPCR platforms for mutation detection and, potentially, for gene copy-number analysis in cancer and prenatal screening.

A real time high-resolution melting PCR assay for detection and differentiation among sheep pox virus, goat pox virus, field and vaccine strains of lumpy skin disease virus.

In this paper, we report on the development of a real time high-resolution melting (HRM) PCR assay for detection and differentiation among sheep pox virus (SPPV), goat pox virus (GTPV), field isolates and vaccine strains of lumpy skin disease virus (LSDV) based on high-resolution melting curve analysis of their target PCR amplicons. A 111 bp region of LSDV010 ORF, which harbors unique genetic differences for each of these viral species, was selected as the PCR target in this study. During the validation of this assay using DNA from clinical isolates originated from naturally infected animals from the different geographic locations and reference strains, the obtained PCR amplicons demonstrated that the melting temperature picks were specific for each tested viral species, i.e., 74.56 ±â€¯0.04 °C for field LSDV, 74.95 ±â€¯0.08 °C for vaccine LSDV, 74.24 ±â€¯0.06 °C for SPPV and 73.61 ±â€¯0.04 °C for GTPV. The assessment of the assay sensitivity utilizing a LSDV field strain as a PCR template revealed the assay detection limit as low as 0.1 TCD50 lg/ml. Overall, this assay based on Rotor-Gene Q (QIAGEN) platform was shown to be reproducible across replicates and operators and can be recommended as an additional diagnostic tool to the currently available molecular assays for detection and differentiation of the genus Capripoxvirus species, including the differentiation of vaccine strains of LSDV from field isolates. The assay can be used for detection of these viruses in animal- and insect-derived field specimens.