The potential of electrophoretic mobility shift assays for clinical mutation detection

Electrochemical biosensors for analysis of DNA point mutations in cancer research

Cancer is a genetic disease induced by mutations in DNA, in particular point mutations in important driver genes that lead to protein malfunctioning and ultimately to tumorigenesis. Screening for the most common DNA point mutations, especially in such genes as TP53, BRCA1 and BRCA2, EGFR, KRAS, or BRAF, is crucial to determine predisposition risk for cancer or to predict response to therapy. In this review, we briefly depict how these genes are involved in cancer, followed by a description of the most common techniques routinely applied for their analysis, including high-throughput next-generation sequencing technology and less expensive low-throughput options, such as real-time PCR, restriction fragment length polymorphism, or high resolution melting analysis. We then introduce benefits of electrochemical biosensors as interesting alternatives to the standard methods in terms of cost, speed, and simplicity. We describe most common strategies involved in electrochemical biosensing of point mutations, relying mostly on PCR or isothermal amplification techniques, and critically discuss major challenges and obstacles that, until now, prevented their more widespread application in clinical settings.

An improved heteroduplex analysis for rapid genotyping of SNPs and single base pair indels

SNPs and single base pair (SBP) insertion/deletions (indels) are not only the most abundant genetic markers for genetic mapping and breeding selection, but also always occur in the mutants generated from chemical mutagenesis or CRISPR/Cas9-mediated genome editing. Most of the current SNP and SBP indel genotyping methods are time-consuming and/or require special equipment or reagents. Here, we describe an improved heteroduplex analysis method, named iHDA, that can readily discriminate SNP and SBP indel alleles with specially designed DNA probes that harbor a couple of nucleotides adjacent to the SNP site. By hybridizing with the same probe, SNP and SBP indel alleles form different heteroduplexes, differing in bulge size, which show different mobility on a polyacrylamide gel. Therefore, iHDA is an easy, fast and inexpensive method for SNP and SBP indel genotyping.

High-resolution melting (HRM) re-analysis of a polyposis patients cohort reveals previously undetected heterozygous and mosaic APC gene mutations

Familial adenomatous polyposis is most frequently caused by pathogenic variants in either the APC gene or the MUTYH gene. The detection rate of pathogenic variants depends on the severity of the phenotype and sensitivity of the screening method, including sensitivity for mosaic variants. For 171 patients with multiple colorectal polyps without previously detectable pathogenic variant, APC was reanalyzed in leukocyte DNA by one uniform technique: high-resolution melting (HRM) analysis. Serial dilution of heterozygous DNA resulted in a lowest detectable allelic fraction of 6 % for the majority of variants. HRM analysis and subsequent sequencing detected pathogenic fully heterozygous APC variants in 10 (6 %) of the patients and pathogenic mosaic variants in 2 (1 %). All these variants were previously missed by various conventional scanning methods. In parallel, HRM APC scanning was applied to DNA isolated from polyp tissue of two additional patients with apparently sporadic polyposis and without detectable pathogenic APC variant in leukocyte DNA. In both patients a pathogenic mosaic APC variant was present in multiple polyps. The detection of pathogenic APC variants in 7 % of the patients, including mosaics, illustrates the usefulness of a complete APC gene reanalysis of previously tested patients, by a supplementary scanning method. HRM is a sensitive and fast pre-screening method for reliable detection of heterozygous and mosaic variants, which can be applied to leukocyte and polyp derived DNA.

Scanning for α-Hemoglobin Variants by High-Resolution Melting Analysis

BACKGROUND

Definitive detection of hemoglobin (Hb) variants requires DNA sequencing. High-resolution melting (HRM) analysis of polymerase chain reaction (PCR) amplicons was applied to detect and discriminate among uncommon α-Hb variants found in Thailand.

METHODS

Uncommon suspected α-Hb variants observed in Hb typing were identified by sequencing of DNA from whole blood samples. Three pairs of PCR primers covering the mutation regions in the three α-globin exons then were used for PCR coupled with difference in HRM analysis to subtract out the concomitant melting profile of the normal allele in the heterozygous state.

RESULTS

DNA sequencing identified six heterozygous α-Hb variants, namely, Hb G-Waimanalo (HBA2: exon 2, codon 64 G>A), Hb J-Buda (HBA1: exon 2, codon 61 G>T), Hb Kurosaki (HBA2: exon 1; codon 7 A>G), Hb O-Indonesia (HBA1: exon 3 codon 116 G>A), Hb Q-India (HBA1:exon 2, codon 64 G>C), and Hb Q-Thailand (HBA1: exon 2 codon 74 G>C). Difference HRM analysis showed one temperature melting profile using exon 1 primer pair, four different profiles with exon 2 primer pair, and one profile with exon 3 primer pair.

CONCLUSIONS

PCR-HRM analysis was effective in detecting and discriminating among single point mutations causing six uncommon α-Hb variants in heterozygous individuals. The method can be applied for routine screening due to its simplicity and relatively low cost.

DHPLC technology for high-throughput detection of mutations in a durum wheat TILLING population

Background

Durum wheat (Triticum turgidum L.) is a cereal crop widely grown in the Mediterranean regions; the amber grain is mainly used for the production of pasta, couscous and typical breads. Single nucleotide polymorphism (SNP) detection technologies and high-throughput mutation induction represent a new challenge in wheat breeding to identify allelic variation in large populations. The TILLING strategy makes use of traditional chemical mutagenesis followed by screening for single base mismatches to identify novel mutant loci. Although TILLING has been combined to several sensitive pre-screening methods for SNP analysis, most rely on expensive equipment. Recently, a new low cost and time saving DHPLC protocol has been used in molecular human diagnostic to detect unknown mutations.

Results

In this work, we developed a new durum wheat TILLING population (cv. Marco Aurelio) using 0.70-0.85 % ethyl methane sulfonate (EMS). To investigate the efficiency of the mutagenic treatments, a pilot screening was carried out on 1,140 mutant lines focusing on two target genes (Lycopene epsilon-cyclase, ε-LCY, and Lycopene beta-cyclase, β-LCY) involved in carotenoid metabolism in wheat grains. We simplify the heteroduplex detection by two low cost methods: the enzymatic cleavage (CelI)/agarose gel technique and the denaturing high-performance liquid chromatography (DHPLC). The CelI/agarose gel approach allowed us to identify 31 mutations, whereas the DHPLC procedure detected a total of 46 mutations for both genes. All detected mutations were confirmed by direct sequencing. The estimated overall mutation frequency for the pilot assay by the DHPLC methodology resulted to be of 1/77 kb, representing a high probability to detect interesting mutations in the target genes.

Conclusion

We demonstrated the applicability and efficiency of a new strategy for the detection of induced variability. We produced and characterized a new durum wheat TILLING population useful for a better understanding of key gene functions. The availability of this tool together with TILLING technique will expand the polymorphisms in candidate genes of agronomically important traits in wheat.

Electronic supplementary material

The online version of this article (doi:10.1186/s12863-016-0350-0) contains supplementary material, which is available to authorized users.

Multiplex ligase-based genotyping methods combined with CE

In this genomic era, the ability to assay multiple genomic hot spots that have strong clinical implications is greatly desired. Conventional PCR-based methods suffer from frequent false-positive detections, particularly when a multiplex analysis is desirable. As an alternative to the error-prone conventional methods, multiplex ligase-based genotyping methods combined with CE have a strong potential. In this review, both previously developed methods and emerging methods are described to reveal the specificity, sensitivity, and simplicity of the ligase-based methods. For each step (ligation, amplification, and separation), the principles of several alternative methods are discussed along with their applications to explore the future development of ligase-based diagnostic methods.

Electrophoretic mobility-shift and super-shift assays for studies and characterization of protein-DNA complexes

Gene expression is in part regulated by transcription factors that bind specific sequence motifs in genomic DNA. Transcription factors cooperate with the basal machinery to upregulate or downregulate transcription. Experimental data have revealed the importance of interactions among members of distinct families of transcription factors to form complexes that regulate gene expression. Thus, a full characterization of protein-DNA complexes is essential to understanding of gene regulation in a more complex cellular environment. Electrophoretic mobility shift assay (EMSA) is a powerful technique to resolve nucleic acid-protein complexes formed with transcription factors in nuclear extracts. Herein is described how EMSA and super-shift assays were used to characterize several complexes produced from binding of transcription factors to a regulatory DNA sequence upstream from the promoter region of the human NF-IL6 gene.

Applying and testing the conveniently optimized enzyme mismatch cleavage method to clinical DNA diagnosis

Establishing a simple and effective mutation screening method is one of the most compelling problems with applying genetic diagnosis to clinical use. Because there is no reliable and inexpensive screening system, amplifying by PCR and performing direct sequencing of every coding exon is the gold standard strategy even today. However, this approach is expensive and time consuming, especially when gene size or sample number is large. Previously, we developed CEL nuclease mediated heteroduplex incision with polyacrylamide gel electrophoresis and silver staining (CHIPS) as an ideal simple mutation screening system constructed with only conventional apparatuses and commercially available reagents. In this study, we evaluated the utility of CHIPS technology for genetic diagnosis in clinical practice by applying this system to screening for the COL2A1, WRN and RPS6KA3 mutations in newly diagnosed patients with Stickler syndrome (autosomal dominant inheritance), Werner syndrome (autosomal recessive inheritance) and Coffin-Lowry syndrome (X-linked inheritance), respectively. In all three genes, CHIPS detected all DNA variations including disease causative mutations within a day. Direct sequencing of all coding exons of these genes confirmed 100% sensitivity and specificity. We demonstrate high sensitivity, high cost performance and reliability of this simple system, with compatibility to all inheritance modes. Because of its low technology, CHIPS is ready to use and potentially disseminate to any laboratories in the world.

Capillary electrophoresis-single strand conformation polymorphism for the detection of multiple mutations leading to tuberculosis drug resistance

Drug resistant tuberculosis (TB) is a major health problem in both developed and developing countries. Mutations in the Mycobacterium (M.) tuberculosis bacterial genome, such as those to the rpoB gene and mabA-inhA promoter region, have been linked to TB drug resistance in against rifampicin and isoniazid, respectively. The rapid, accurate, and inexpensive identification of these and other mutations leading to TB drug resistance is an essential tool for improving human health. Capillary electrophoresis (CE) single strand conformation polymorphism (SSCP) can be a highly sensitive technique for the detection of genetic mutation that has not been previously explored for drug resistance mutations in M. tuberculosis. This work explores the potential of CE-SSCP through the optimization of variables such as polymer separation matrix concentration, capillary wall coating, electric field strength, and temperature on resolution of mutation detection. The successful detection of an rpoB gene mutation and two mabA-inhA promoter region mutations while simultaneously differentiating a TB-causing mycobacteria from a non-TB bacteria was accomplished using the optimum conditions of 4.5% (w/v) PDMA in a PDMA coated capillary at 20°C using a separation voltage of 278 V/cm. This multiplexed analysis that can be completed in a few hours demonstrates the potential of CE-SSCP to be an inexpensive and rapid analysis method.

Separation principles of cycling temperature capillary electrophoresis

High throughput means to detect and quantify low-frequency mutations (<10(-2) ) in the DNA-coding sequences of human tissues and pathological lesions are required to discover the kinds, numbers, and rates of genetic mutations that (i) confer inherited risk for disease or (ii) arise in somatic tissues as events required for clonal diseases such as cancers and atherosclerotic plaque.While throughput of linear DNA sequencing methods has increased dramatically, such methods are limited by high error rates (>10(-3) ) rendering them unsuitable for the detection of low-frequency risk-conferring mutations among the many neutral mutations carried in the general population or formed in tissue growth and development. In contrast, constant denaturing capillary electrophoresis (CDCE), coupled with high-fidelity PCR, achieved a point mutation detection limit of <10(-5) in exon-sized sequences from human tissue or pooled blood samples. However, increasing CDCE throughput proved difficult due to the need for precise temperature control and the time-consuming optimization steps for each DNA sequence probed. Both of these problems have been solved by the method of cycling temperature capillary electrophoresis (CTCE). The data presented here provide a deeper understanding of the separation principles involved in CTCE and address several elements of a previously presented two-state transport model.

A simple method for examination of polymorphisms of catalase exon 9: rs769217 in Hungarian microcytic anemia and beta-thalassemia patients

Catalase decreases the high, toxic concentrations of hydrogen peroxide but it lets the physiological, low concentrations in the cells mainly for signaling purposes. Its decreased activity may contribute to development of several pathological conditions. Catalase mutations occur frequently in exon 9, these were examined with different, complicated and costly methods. The aim of the current study was to evaluate a method for screening of polymorphisms in catalase exon 9. We used the slab gel electrophoresis of PCR amplicons without denaturation and silver staining for visualization of the DNA bands. We detected extra DNA bands in the 400-800 bp region of the catalase exon 9. Their single stranded nature was proved with nucleotide sequence analyses, comparison with the standard SSCP, staining with Sybr Green II and Sybr Green I, ethidium bromide, no digestion with RFLP (BstX I), and digestion with plant nuclease. We used this method for examination of polymorphisms of catalase exon 9 in microcytic anemia and beta-thalassemia patients. The lowest blood catalase activities were detected in microcytic anemia and beta-thalassemia patients with the TT genotypes of the C111T polymorphism. This method was sensitive for detection of G113A acatalasemia mutation, but poorly detected C37T and G5A acatalasemia mutations.

Quantitative experimental determination of primer-dimer formation risk by free-solution conjugate electrophoresis

DNA barcodes are short, unique ssDNA primers that "mark" individual biomolecules. To gain better understanding of biophysical parameters constraining primer-dimer formation between primers that incorporate barcode sequences, we have developed a capillary electrophoresis method that utilizes drag-tag-DNA conjugates to quantify dimerization risk between primer-barcode pairs. Results obtained with this unique free-solution conjugate electrophoresis approach are useful as quantitatively precise input data to parameterize computation models of dimerization risk. A set of fluorescently labeled, model primer-barcode conjugates were designed with complementary regions of differing lengths to quantify heterodimerization as a function of temperature. Primer-dimer cases comprised two 30-mer primers, one of which was covalently conjugated to a lab-made, chemically synthesized poly-N-methoxyethylglycine drag-tag, which reduced electrophoretic mobility of ssDNA to distinguish it from ds primer-dimers. The drag-tags also provided a shift in mobility for the dsDNA species, which allowed us to quantitate primer-dimer formation. In the experimental studies, pairs of oligonucleotide primer barcodes with fully or partially complementary sequences were annealed, and then separated by free-solution conjugate CE at different temperatures, to assess effects on primer-dimer formation. When less than 30 out of 30 base-pairs were bonded, dimerization was inversely correlated to temperature. Dimerization occurred when more than 15 consecutive base-pairs formed, yet non-consecutive base-pairs did not create stable dimers even when 20 out of 30 possible base-pairs bonded. The use of free-solution electrophoresis in combination with a peptoid drag-tag and different fluorophores enabled precise separation of short DNA fragments to establish a new mobility shift assay for detection of primer-dimer formation.

Direct mutation analysis by high-throughput sequencing: from germline to low-abundant, somatic variants

DNA mutations are the source of genetic variation within populations. The majority of mutations with observable effects are deleterious. In humans mutations in the germ line can cause genetic disease. In somatic cells multiple rounds of mutations and selection lead to cancer. The study of genetic variation has progressed rapidly since the completion of the draft sequence of the human genome. Recent advances in sequencing technology, most importantly the introduction of massively parallel sequencing (MPS), have resulted in more than a hundred-fold reduction in the time and cost required for sequencing nucleic acids. These improvements have greatly expanded the use of sequencing as a practical tool for mutation analysis. While in the past the high cost of sequencing limited mutation analysis to selectable markers or small forward mutation targets assumed to be representative for the genome overall, current platforms allow whole genome sequencing for less than $5000. This has already given rise to direct estimates of germline mutation rates in multiple organisms including humans by comparing whole genome sequences between parents and offspring. Here we present a brief history of the field of mutation research, with a focus on classical tools for the measurement of mutation rates. We then review MPS, how it is currently applied and the new insight into human and animal mutation frequencies and spectra that has been obtained from whole genome sequencing. While great progress has been made, we note that the single most important limitation of current MPS approaches for mutation analysis is the inability to address low-abundance mutations that turn somatic tissues into mosaics of cells. Such mutations are at the basis of intra-tumor heterogeneity, with important implications for clinical diagnosis, and could also contribute to somatic diseases other than cancer, including aging. Some possible approaches to gain access to low-abundance mutations are discussed, with a brief overview of new sequencing platforms that are currently waiting in the wings to advance this exploding field even further.

Visualising individual sequence-specific protein-DNA interactions in situ

Gene expression - a key feature for modulating cell fate-is regulated in part by histone modifications, which modulate accessibility of the chromatin to transcription factors. Until now, protein-DNA interactions (PDIs) have mostly been studied in bulk without retrieving spatial information from the sample or with poor sequence resolution. New tools are needed to reveal proteins interacting with specific DNA sequences in situ for further understanding of the orchestration of transcriptional control within the nucleus. We present herein an approach to visualise individual PDIs within cells, based on the in situ proximity ligation assay (PLA). This assay, previously used for the detection of protein-protein interactions in situ, was adapted for analysis of target PDIs, using padlock probes to identify unique DNA sequences in complex genomes. As a proof-of-principle we detected histone H3 interacting with a 26 bp consensus sequence of the Alu-repeat abundantly expressed in the human genome, but absent in mice. However, the mouse genome contains a highly similar sequence, providing a model system to analyse the selectivity of the developed methods. Although efficiency of detection currently is limiting, we conclude that in situ PLA can be used to achieve a highly selective analysis of PDIs in single cells.

Mutation detection in plasmid-based biopharmaceuticals

As the number of applications involving therapeutic plasmid DNA (pDNA) increases worldwide, there is a growing concern over maintaining rigorous quality control through a panel of high-quality assays. For this reason, efficient, cost-effective and sensitive technologies enabling the identification of genetic variants and unwanted side products are needed to successfully establish the identity and stability of a plasmid-based biopharmaceutical. This review highlights several bioinformatic tools for ab initio detection of potentially unstable DNA regions, as well as techniques used for mutation detection in nucleic acids, with particular emphasis on pDNA.

Increased level of intragenomic 16S rRNA gene heterogeneity in commensal strains closely related to Haemophilus influenzae

The 16S rRNA gene sequence of strains closely related to, but excluded from, Haemophilus influenzae was investigated and a conspicuously high number of polymorphic nucleotide positions due to intragenomic 16S rRNA gene heterogeneity was observed. The average frequency of 16S rRNA gene polymorphic nucleotide positions in 31 variant strains was 7.0×10(-3), which is approximately ten times the level observed in validated strains of H. influenzae. Sixty-seven polymorphic nucleotide positions in seven strains most likely originated from the simultaneous presence of two distinct types of helix 18 as a consequence of prior recombinatorial events. The increased level of 16S rRNA gene polymorphism in commensal taxa excluded from the pathogenic species H. influenzae is unexplained. The heterogeneity imposes difficulties on rRNA gene-based classification and systematics.

Mutation screening based on the mechanical properties of DNA molecules tethered to a solid surface

We report a rapid gene mutation screening method by making use of the mechanical properties of single-strand DNA (ssDNA) tethered to a solid surface. With proper temperature control, ssDNA in solution undergoes intrabase pairing and forms a specific complex 3D structure. By tethering such ssDNA strands to a solid surface, a DNA film can be formed. The mechanical properties of such DNA films, probed by devices such as a quartz crystal resonator, are directly related to the specific structure of the ssDNA which is characteristic of its base sequence and thus can be used as the basis for mutation screening. Using this approach, we have detected a single base mutation among 545 bases in the P53 gene. This result suggests promising potential of employing the mechanical properties of DNA strands for rapid screening of mutations.

Design and validation of a conformation-sensitive capillary electrophoresis system for mutation identification of the COL7A1 gene with automated peak comparison

Dystrophic epidermolysis bullosa is a heritable skin disease in which blisters occur because of a defect in type VII collagen resulting from mutations in the COL7A1 gene that is composed of 118 exons. Although a few mutations are specific to certain populations owing to founder effects, and although a few mutational hotspots exist, most mutations are unique to families and can be found scattered throughout the entire COL7A1 gene. This emphasizes the need for a sensitive, reliable, and efficient mutation scanning technique. Therefore, we developed a conformation-sensitive capillary electrophoresis (CSCE) system for COL7A1 mutation scanning. Here we report on the design and validation of this system. The CSCE technique is based on the principle of heteroduplex formation when polymerase chain reaction-amplified DNA fragments containing heterozygous sequence changes are slowly reannealed. These fluorescently labeled fragments have different migration characteristics and can be detected on a multi-capillary automated sequencer. Validation was performed by analysis of 29 known COL7A1 sequence changes, covering 33% of amplicons. After optimization of the conditions, all 29 sequence changes were detected by the CSCE system, irrespective of length or CG-content of amplicons and position of sequence changes, reflecting an analytical sensitivity of 90.2-100% (95% confidence interval). We conclude that this CSCE system is a rapid, reliable, cost-effective, and highly sensitive way of mutation scanning for COL7A1 in a molecular genetics service laboratory.

Design and validation of a conformation sensitive capillary electrophoresis-based mutation scanning system and automated data analysis of the more than 15 kbp-spanning coding sequence of the SACS gene

In this study, we developed and analytically validated a fully automated, robust confirmation sensitive capillary electrophoresis (CSCE) method to perform mutation scanning of the large SACS gene. This method facilitates a rapid and cost-effective molecular diagnosis of autosomal recessive spastic ataxia of Charlevoix-Saguenay. Critical issues addressed during the development of the CSCE system included the position of a DNA variant relative to the primers and the CG-content of the amplicons. The validation was performed in two phases; a retrospective analysis of 32 samples containing 41 different known DNA variants and a prospective analysis of 20 samples of patients clinically suspected of having autosomal recessive spastic ataxia of Charlevoix-Saguenay. These 20 samples appeared to contain 73 DNA variants. In total, in 32 out of the 45 amplicons, a DNA variant was present, which allowed verification of the detection capacity during the validation process. After optimization of the original design, the overall analytical sensitivity of CSCE for the SACS gene was 100%, and the analytical specificity of CSCE was 99.8%. In conclusion, CSCE is a robust technique with a high analytical sensitivity and specificity, and it can readily be used for mutation scanning of the large SACS gene. Furthermore this technique is less time-consuming and less expensive, as compared with standard automated sequencing.

Mutations of maturity-onset diabetes of the young (MODY) genes in Thais with early-onset type 2 diabetes mellitus

OBJECTIVE

Six known genes responsible for maturity-onset diabetes of the young (MODY) were analysed to evaluate the prevalence of their mutations in Thai patients with MODY and early-onset type 2 diabetes.

PATIENTS AND METHODS

Fifty-one unrelated probands with early-onset type 2 diabetes, 21 of them fitted into classic MODY criteria, were analysed for nucleotide variations in promoters, exons, and exon-intron boundaries of six known MODY genes, including HNF-4alpha, GCK, HNF-1alpha, IPF-1, HNF-1beta, and NeuroD1/beta2, by the polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP) method followed by direct DNA sequencing. Missense mutations or mutations located in regulatory region, which were absent in 130 chromosomes of non-diabetic controls, were classified as potentially pathogenic mutations.

RESULTS

We found that mutations of the six known MODY genes account for a small proportion of classic MODY (19%) and early-onset type 2 diabetes (10%) in Thais. Five of these mutations are novel including GCK R327H, HNF-1alpha P475L, HNF-1alphaG554fsX556, NeuroD1-1972 G > A and NeuroD1 A322N. Mutations of IPF-1 and HNF-1beta were not identified in the studied probands.

CONCLUSIONS

Mutations of the six known MODY genes may not be a major cause of MODY and early-onset type 2 diabetes in Thais. Therefore, unidentified genes await discovery in a majority of Thai patients with MODY and early-onset type 2 diabetes.

High-throughput detection of induced mutations and natural variation using KeyPoint technology

Reverse genetics approaches rely on the detection of sequence alterations in target genes to identify allelic variants among mutant or natural populations. Current (pre-) screening methods such as TILLING and EcoTILLING are based on the detection of single base mismatches in heteroduplexes using endonucleases such as CEL 1. However, there are drawbacks in the use of endonucleases due to their relatively poor cleavage efficiency and exonuclease activity. Moreover, pre-screening methods do not reveal information about the nature of sequence changes and their possible impact on gene function. We present KeyPoint™ technology, a high-throughput mutation/polymorphism discovery technique based on massive parallel sequencing of target genes amplified from mutant or natural populations. KeyPoint combines multi-dimensional pooling of large numbers of individual DNA samples and the use of sample identification tags (“sample barcoding”) with next-generation sequencing technology. We show the power of KeyPoint by identifying two mutants in the tomato eIF4E gene based on screening more than 3000 M2 families in a single GS FLX sequencing run, and discovery of six haplotypes of tomato eIF4E gene by re-sequencing three amplicons in a subset of 92 tomato lines from the EU-SOL core collection. We propose KeyPoint technology as a broadly applicable amplicon sequencing approach to screen mutant populations or germplasm collections for identification of (novel) allelic variation in a high-throughput fashion.

An optimized procedure for the design and evaluation of Ecotilling assays

Background

Single nucleotide polymorphisms (SNPs) are the most common form of genetic variability in the human genome and play a prominent role in the heritability of phenotypes. Especially rare alleles with frequencies less than 5% may exhibit a particularly strong influence on the development of complex diseases. The detection of rare alleles by standard DNA sequencing is time-consuming and cost-intensive. Here we discuss an alternative approach for a high throughput detection of rare mutations in large population samples using Ecotilling embedded in a collection of bioinformatic analysis tools. Ecotilling originally was introduced as TILLING for the screening for rare chemically induced mutations in plants and later adopted for human samples, showing an outstanding suitability for the detection of rare alleles in humans. An actual problem in the use of Ecotilling for large mutation screening projects in humans without bioinformatic support is represented by the lack of solutions to quickly yet comprehensively evaluate each newly found variation and place it into the correct genomic context.

Results

We present an optimized strategy for the design, evaluation and interpretation of Ecotilling results by integrating several mostly freely available bioinformatic tools. A major focus of our investigations was the evaluation and meaningful economical combination of these software tools for the inference of different possible regulatory functions for each newly detected mutation.

Conclusion

Our streamlined procedure significantly facilitates the experimental design and evaluation of Ecotilling assays and strongly improves the decision process on prioritizing the newly found SNPs for further downstream analysis.

Electrophoretic microfluidic devices for mutation detection in clinical diagnostics

BACKGROUND

In an era of growing interest in personalized medicine - where ubiquitous patient genotyping holds unprecedented clinical utility - rapid, sensitive and low-cost methodologies will be required for the detection of genetic variants correlative with disease. Electrophoretic microfluidic devices have emerged as a promising platform for such analyses, inherently offering faster analysis, excellent reagent economy, a small laboratory footprint and potentially seamless integration of multiple analytical steps.

OBJECTIVE

Although glass and polymeric microchips have recently been developed for a wide variety of medical applications, this review focuses on their application to the detection of clinically relevant genomic DNA mutations and polymorphisms.

METHOD

Mutation analysis techniques, including direct gene sizing, enzyme-based assays, heteroduplex analysis, single-strand conformational polymorphism analysis, and multiplex, allele-specific and methylation-specific PCR are included.

CONCLUSION

Further development of 'lab-on-a-chip' or 'micro total analysis system' technologies ultimately aims to streamline and miniaturize the entire genetic analysis process, enabling rapid, point-of-care analysis for molecular diagnostics.

Development of a simple and highly sensitive mutation screening system by enzyme mismatch cleavage with optimized conditions for standard laboratories

Efficient screening of unknown DNA variations is one of the substantive matters of molecular biology even today. Historically, SSCP and heteroduplex analysis (HA) are the most commonly used methods for detecting DNA variations everywhere in the world because of their simplicity. However, the sensitivity of these methods is not satisfactory for screening purpose. Recently, several new PCR-based mutation screening methods have been developed, but most of them require special instruments and adjustment of conditions for each DNA sequence to attain the maximum sensitivity, eventually becoming as inconvenient as old methods. Enzyme mismatch cleavage (EMC) is potentially an ideal screening method. With high-performance nucleases and once experimental conditions are optimized, it requires only conventional staff and conditions remain the same for each PCR product. In this study we tested four commercially available endonucleases for EMC and optimized the electrophoresis and developing conditions. We prepared 25 known DNA variations consisting of 18 single base substitutions (8 transitions and 10 transversions, including all possible sets of mismatches) and 7 small deletions or insertions. The combination of CEL nuclease, 12% PAGE and rapid silver staining can detect all types of mutations and achieved 100% sensitivity.

Electrophoretic migration of proteins in semidilute polymer solutions

We present a systematic study of the electrophoretic migration of 10-200 kDa protein fragments in dilute-polymer solutions using microfluidic chips. The electrophoretic mobility and dispersion of protein samples were measured in a series of monodisperse polydimethylacrylamide (PDMA) polymers of different molecular masses (243, 443, and 764 kDa, polydispersivity index <2) of varying concentration. The polymer solutions were characterized using rheometry. Prior to loading onto the microchip, the polymer solution was mixed with known concentrations of SDS (SDS) surfactant and a staining dye. SDS-denatured protein samples were electrokinetically injected, separated, and detected in the microchip using electric fields ranging from 100 to 300 V/cm. Our results show that the electrophoretic mobility of protein fragments decreases exponentially with the concentration c of the polymer solution. The mobility was found to decrease logarithmically with the molecular weight of the protein fragment. In addition, the mobility was found to be independent of the electric field in the separation channel. The dispersion is relatively independent of polymer concentration and it first increases with protein size and then decreases with a maximum at about 45 kDa. The resolution power of the device decreases with concentration of the PDMA solution but it is always better than 10% of the protein size. The protein migration does not seem to correspond to the Ogston or the reptation models. A semiempirical expression for mobility given by van Winkle fits the data very well.

Polymorphisms identified in the upstream core polyadenylation signal of IGF1 gene exon 6 do not cause pre- and postnatal growth impairment

BACKGROUND

Few children born small for gestational age (SGA) with IGF1 mutations have been reported. One of these patients presented a mutation at 3' untranslated region (UTR) at exon 6, probably affecting the polyadenylation process.

OBJECTIVE

The objective of the study was to sequence the IGF1 gene of children born SGA.

PATIENTS AND METHODS

IGF1 (exons 1-6) was directly sequenced in 53 SGA children without catch-up growth. Allelic variant frequency of the identified IGF1 polymorphisms was assessed in a total of 145 SGA children and in 180 controls born with adequate weight and length and adult height sd score greater than -2.

RESULTS

No mutations were identified in the IGF1 coding regions in SGA children. In contrast, six allelic variants were identified in the upstream core polyadenylation signal located in IGF1 3' UTR at exon 6. The frequency of the different allelic variants was similar in SGA children and controls. It is noteworthy that the same allelic variant, previously described as causing severe IGF1 deficiency, was also observed in homozygous (n = 4) and heterozygous state (n = 6) in normal height controls, corresponding to 4% of studied alleles. The three most frequently identified allelic variants of IGF1 3' UTR showed no effect on height sd score of adult controls as well as on birth characteristics in SGA children.

CONCLUSION

The polymorphisms identified in the upstream core polyadenylation signal at IGF1 exon 6 do not cause IGF1 deficiency as well as pre- and postnatal growth impairment, in contrast to previously reported data.

PCR-SSCP: a method for the molecular analysis of genetic diseases

Single strand conformation polymorphism (SSCP) is a reproducible, rapid and quite simple method for the detection of deletions/insertions/rearrangements in polymerase chain reaction amplified DNA. All the details for the use of PCR-SSCP are presented in the direction of genetic diseases (beta-thalassaemia, cystic fibrosis), optimum gel conditions, sensitivity and the latest modifications of the method, which are applied in most laboratories. This non-radioactive PCR-SSCP method can be reliably used to identify mutations in patients (beta-globin, CFTR), provided suitable controls are available. Moreover, it is widely used for mutation identification in carriers (beta-thalassaemia, cystic fibrosis), making it particularly useful in population screening.

Single-strand conformation polymorphism analysis using capillary array electrophoresis for large-scale mutation detection

This protocol describes capillary array electrophoresis single-strand conformation polymorphism (CAE-SSCP), a screening method for detection of unknown and previously identified mutations. The method detects 98% of mutations in a sample material and can be applied to any organism where the goal is to determine genetic variation. This protocol describes how to screen for mutations in 192 singleplex or up to 768 multiplex samples over 3 days. The protocol is based on the principle of sequence-specific mobility of single-stranded DNA in a native polymer, and covers all stages in the procedure, from initial DNA purification to final CAE-SSCP data analysis, as follows: DNA is purified, followed by PCR amplification using fluorescent primers. After PCR amplification, double-stranded DNA is heat-denatured to separate the strands and subsequently cooled on ice to avoid reannealing. Finally, samples are analyzed by capillary electrophoresis and appropriate analysis software.

Toward a fluorescent single-strand conformation polymorphism technique that detects all mutations: F-DOVAM-S

Although DOVAM-S (detection of virtually all mutations-SSCP) in effect detects all mutations and is less costly than direct sequencing, the technique currently requires the use of radioactivity. F-DOVAM-S (fluorescent DOVAM-S) was developed to replace the isotopic label with fluorescence and to increase throughput via dye color multiplexing. As proof of principle, two multitemperature slab gel electrophoresis conditions were evaluated through the blinded analysis of mutations in the factor IX (FIX) genes of 88 hemophilia B (HB) patients and 7 wild-type controls. Using only two conditions, it was determined that F-DOVAM-S had a detection sensitivity of 97%. It is anticipated that when three or four optimized conditions are employed, F-DOVAM-S will detect all mutations. Three patient samples were multiplexed per well using three different fluorescent dyes (6FAM, VIC, and NED), demonstrating that it is possible to analyze up to 44 kb of diploid, color-coded amplification product per gel lane. This value corresponds to a throughput of approximately 4 Mb of DNA analyzed per 96-well gel, which is approximately triple that of conventional radiolabeled DOVAM-S. Throughput is further enhanced by the rapidity at which the fluorescent signal can be captured and the resultant multicolor chromatograms analyzed. Given these data, F-DOVAM-S has the potential to be a particularly powerful technology for clinical diagnosis because it allows the mutation analysis of multiple patients to be performed within 24h.

Polymorphism and chromosomal location of the MC4R (melanocortin-4 receptor) gene in the dog and red fox

The melanocortin-4 receptor (MC4R) is expressed in the hypothalamus and regulates energy intake and body weight. In silico screening of the canine chromosome 1 sequence and a comparison with the porcine MC4R sequence by BLAST were performed. The nucleotide sequence of the whole coding region and 3'- and 5'-flanking regions of the dog (1214 bp) and red fox (1177 bp) MC4R gene was established and high conservation of the nucleotide sequences was revealed (99%). Five sets of PCR primers were designed and a search for polymorphism was performed by the SSCP technique in a group of 31 dogs representing nineteen breeds and 35 farm red foxes. Sequencing of DNA fragments, representing the identified SSCP patterns, revealed three single nucleotide polymorphisms (including a missense one) in dogs and four silent SNPs in red foxes. An average SNP frequency was approx. 1/400 bp in the dog and 1/300 bp in the red fox. We mapped the MC4R gene by FISH to the canine chromosome 1 (CFA1q1.1) and to the red fox chromosome 5 (VVU5p1.2).