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.

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.

Development of coding single nucleotide polymorphic markers in the pearl oyster Pinctada fucata based on next-generation sequencing and high-resolution melting analysis.

The pearl oyster Pinctada fucata is an important commercial marine shellfish that is cultured for producing saltwater pearls. In this study, 468 single nucleotide polymorphisms (SNPs) were screened from P. fucata transcriptome data, and 119 polymorphic SNPs were successfully isolated by a two-step small-amplicon high-resolution melting assay. Of these, 88 were annotated with BLAST in the Nr database and 90 were in the open reading frame, including 16 non-synonymous SNPs and 74 synonymous SNPs; 12 SNPs were in the 3'-untranslated region (UTR) and 1 was in the 5'-UTR. Twenty-five SNPs were randomly chosen to test the genetic diversity of 40 wild individuals from Liusha Bay, China. All of the loci had two alleles. The observed and expected heterozygosities ranged from 0.0417 to 0.6042 and from 0.2945 to 0.5053, respectively. Minor allele frequencies ranged from 0.1771 to 0.5000, and the polymorphism information content ranged from 0.2516 to 0.3750. These novel SNP markers can contribute to P. fucata genetics and breeding studies.

Identification case of evidence in timber tracing of Pinus radiate, using high-resolution melting (HRM) analysis.

Fast, accurate detection of plant species and their hybrids using molecular tools will facilitate assessment and monitoring of timber tracing evidence. In this study the origin of unknown pine samples is determined for a case of timber theft in the region of Araucania southern Chile. We evaluate the utility of the trnL marker region for species identification applied to pine wood based on High Resolution Melting. This efficient tracing methods can be incorporated into forestry applications such as certification of origin. The object of this work was genotype identification using high-resolution melting (HRM) and trnL approaches for Pinus radiata (Don) in timber tracing evidence. Our results indicate that trnL is a very sensitive marker for delimiting species and HRM analysis was used successfully for genotyping Pinus samples for timber tracing purposes. Genotyping samples by HRM analysis with the trnL1 approach allowed us to differentiate two wood samples from the Pinaceae family: Pinus radiata (Don) and Pseudotsuga menziesii (Mirb.) Franco. The same approach with Pinus trnL wood was not able to discriminate between samples of Pinus radiata, indicating that the samples were genetically indistinguishable, possibly because they have the same genotype at this locus. Timber tracing with HRM analysis is expected to contribute to future forest certification schemes, control of illegal trading, and molecular traceability of Pinus spp.

Manipulation of primer affinity improves high-resolution melting accuracy for imprinted genes.

High-resolution melting (HRM) is considered an inexpensive, rapid, and attractive methodology for methylation analysis. In the application of the polymerase chain reaction (PCR) to methylation analysis, amplification efficiencies are biased towards unmethylated, rather than methylated, templates: a phenomenon known as PCR bias. To overcome PCR bias, primers that include CpG site(s) and are fully complementary to the methylated sequence have been proposed. However, genes mapped within imprinted regions usually present higher methylation levels, and an unusual PCR bias towards the methylated template can therefore arise. The manipulation of primer affinity attempts to overcome this problem. We attempted to show that mismatches at the primer's methylated binding sites increase the area between the 50 and 100% methylation plots on the melting curves, and may increase HRM accuracy for samples that have high methylation levels. Sets of primers for imprinted genes that included CpG sites at their binding sequences were designed, and were complementary to methylated or unmethylated templates. Primers fully complementary to methylated templates produced a very small area between the 50 and 100% methylation plots. When using primers that were fully complementary to the unmethylated sequence, we were able to increase the area between the 50 and 100% methylation plots. Therefore, when samples are highly methylated, such as targets in genes mapped in imprinted regions, we propose that primers should favor amplification of the rarest, unmethylated sequence. Primers may be designed to include one CpG at its binding site and be fully complementary to the unmethylated template.

Limitation of high-resolution melting curve analysis for genotyping simple sequence repeats in sheep.

Variation in microsatellite or simple sequence repeat (SSR) loci has, until recently, relied heavily on the use of gel-based methods that can be both time consuming and difficult to genotype. Non gel-based systems are therefore important to increase simplicity and improve turn-around time without compromising assay sensitivity and accuracy. In this report, we assessed the latest of the non-gel-based methods, high-resolution melting (HRM) curve analysis. HRM is a technique that monitors exactly the decreasing fluorescence of intercalating dye in the process of dissociation of double-stranded DNA. The measurement immediately follows polymerase chain reaction in a one-step, closed-tube method. Four SSR loci of different complexity in sheep, namely MAF209, MCM140, CB226, and SRCRSP5, were assessed using the LightScanners System with LC Greens PLUS DNA binding dye. In order to improve the accuracy of genotyping, we applied internal oligo nucleotide calibrators while performing HRM. DNA polymorphisms were previously identified using capillary electrophoresis analysis (CE). The result showed that CE detected more genotypes than HRM in the same loci regardless of the level of polymorphism at the SSR loci. We demonstrate current limitations of the HRM method for the analysis of SSR loci.

Rapid molecular diagnosis of the Gilbert's syndrome-associated exon 1 mutation within the UGT1A1 gene.

Gilbert's syndrome is suspected in patients with unconjugated hyperbilirubinemia caused by decreased activity of the UDP-glucuronosyltransferase 1A1 (UGT1A1) gene in the absence of abnormal liver function and hemolysis. The major genetic variants underlying Gilbert's syndrome are TATA-box repeats of the promoter region and exon 1 G211A of the coding region, particularly in Asians. The efficacy of DNA melting curve analysis, however, has not been established for the G211A mutation. For rapid and accurate molecular diagnosis of Gilbert's syndrome, DNA melting curve analysis was evaluated for its genotyping capability not only for TATA-box repeats of the UGT1A1 promoter, but also for G211A of UGT1A1 exon 1. TA repeats within the TATA-box sequence and the exon 1 G211A mutation of the UGT1A1 gene were analyzed by DNA melting curve analysis. To evaluate the assay reliability, direct sequencing or polyacrylamide gel electrophoresis was used as a comparative method. All homozygous and heterozygous polymorphisms of A(TA)7TAA within the TATA-box allele and of exon 1 G211A mutants of the UGT1A1 gene were successfully identified with DNA melting curve analysis. DNA melting curve analysis is, therefore, an effective molecular method for the rapid diagnosis of Gilbert's syndrome, as it detects not only TATA-box polymorphisms but also the exon 1 G211A mutation located within the UGT1A1 gene.

Optimizing methodologies for PCR-based DNA methylation analysis.

Comprehensive analysis of DNA methylation patterns is critical for understanding the molecular basis of many human diseases. While hundreds of PCR-based DNA methylation studies are published every year, the selection and implementation of appropriate methods for these studies can be challenging for molecular genetics researchers not yet familiar with methylation analysis. Here we review the most commonly used PCR-based DNA methylation analysis techniques: bisulfite sequencing PCR (BSP), methylation specific PCR (MSP), MethyLight, and methylation-sensitive high resolution melting (MS-HRM). We provide critical analysis of the strengths and weaknesses of each approach as well as a series of guidelines to assist in selecting and implementing an appropriate method.

Ion Torrent-based transcriptional assessment of a Corynebacterium pseudotuberculosis equi strain reveals denaturing high-performance liquid chromatography a promising rRNA depletion method.

Corynebacterium pseudotuberculosis equi is a Gram-positive pathogenic bacterium which affects a variety of hosts. Besides the great economic losses it causes to horse-breeders, this organism is also known to be an important infectious agent to cattle and buffaloes. As an outcome of the efforts in characterizing the molecular basis of its virulence, several complete genome sequences were made available in recent years, enabling the large-scale assessment of genes throughout distinct isolates. Meanwhile, the RNA-seq stood out as the technology of choice for comprehensive transcriptome studies, which may bring valuable information regarding active genomic regions, despite of the still impeditive associated costs. In an attempt to increase the use of generated reads per instrument run, by effectively eliminating unwanted rRNAs from total RNA samples without relying on any commercially available kits, we applied denaturing high-performance liquid chromatography (DHPLC) as an alternative method to assess the transcriptional profile of C. pseudotuberculosis. We have found that the DHPLC depletion method, allied to Ion Torrent sequencing, allows mapping of transcripts in a comprehensive way and identifying novel transcripts when a de novo approach is used. These data encourage us to use DHPLC in future transcriptional evaluations in C. pseudotuberculosis.

Cloning of stress-responsive microRNAs and other small RNAs from plants.

In plants, small RNA (microRNAs and other endogenous small RNAs)-guided target gene expression is vital for a wide variety of biological processes including adaptation to stress conditions. Identification of stress-regulated microRNAs or other classes of endogenous small RNAs advances our understanding of post-transcriptional gene regulation important for plant stress tolerance. This chapter describes a detailed step-by-step protocol for cloning of small RNAs. Following 5' and 3' adapter ligation to the purified small RNAs, cDNA will be synthesized using reverse transcription, which will be further amplified using a polymerase chain reaction. The resulting small DNA fragments can be either cloned and sequenced using traditional sequencing method or subjected to direct high-throughput pyrosequencing or sequencing-by-synthesis technology.