Manual 768 or 384 well microplate gel 'dry' electrophoresis for PCR checking and SNP genotyping

Electrophoresis continues to be a mainstay in molecular genetic laboratories for checking, sizing and separating both PCR products, nucleic acids derived from in vivo or in vitro sources and nucleic acid-protein complexes. Many genomic and genetic applications demand high throughput, such as the checking of amplification products from many loci, from many clones, from many cell lines or from many individuals at once. These applications include microarray resource development and expression analysis, genome mapping, library and DNA bank screening, mutagenesis experiments and single nucleotide polymorphism (SNP) genotyping. PCR hardware compatible with industry standard 96 and 384 well microplates is commonplace. We have previously described a simple system for submerged horizontal 96 and 192 well polyacrylamide or agarose microplate array diagonal gel electrophoresis (MADGE) which is microplate compatible and suitable for PCR checking, SNP typing (restriction fragment length polymorphism or amplification refractory mutation system), microsatellite sizing and identification of unknown mutations. By substantial redesign of format and operations, we have derived an efficient 'dry' gel system that enables direct 96 pin manual transfer from PCR or other reactions in microplates, into 768 or 384 well gels. Combined with direct electrode contact in clamshell electrophoresis boxes which plug directly to contacts in a powered stacking frame and using 5-10 min electrophoresis times, it would be possible (given a sufficient supply of PCRs for examination) for 1 million gel tracks to be run per day for a minimal hardware investment and at minimal reagent costs. Applications of this system for PCR checking and SNP genotyping are illustrated.     

单核苷酸多态性基因分型技术原理与进展

在基因组规模了解遗传变异与生物功能之间的关系可望为生物学带来全新的深入认识。本从等位基因分型机理、反应形式和检测方法等三个方面讨论SNP分型方法的现状,并简要介绍了目前应用的一些分型方法。     

Single tube genotyping of sickle cell anaemia using PCR-based SNP analysis

Allele-specific amplification (ASA) is a generally applicable technique for the detection of known single nucleotide polymorphisms (SNPs), deletions, insertions and other sequence variations. Conventionally, two reactions are required to determine the zygosity of DNA in a two-allele system, along with significant upstream optimisation to define the specific test conditions. Here, we combine single tube bi-directional ASA with a ‘matrix-based’ optimisation strategy, speeding up the whole process in a reduced reaction set. We use sickle cell anaemia as our model SNP system, a genetic disease that is currently screened using ASA methods. Discriminatory conditions were rapidly optimised enabling the unambiguous identification of DNA from homozygous sickle cell patients (HbS/S), heterozygous carriers (HbA/S) or normal DNA in a single tube. Simple downstream mathematical analyses based on product yield across the optimisation set allow an insight into the important aspects of priming competition and component interactions in this competitive PCR. This strategy can be applied to any polymorphism, defining specific conditions using a multifactorial approach. The inherent simplicity and low cost of this PCR-based method validates bi-directional ASA as an effective tool in future clinical screening and pharmacogenomic research where more expensive fluorescence-based approaches may not be desirable.     

SNP discovery by amplicon sequencing and multiplex SNP genotyping in the allopolyploid species Brassica napus

Oilseed rape (Brassica napus) is an allotetraploid species consisting of two genomes, derived from B. rapa (A genome) and B. oleracea (C genome). The presence of these two genomes makes single nucleotide polymorphism (SNP) marker identification and SNP analysis more challenging than in diploid species, as for a given locus usually two versions of a DNA sequence (based on the two ancestral genomes) have to be analyzed simultaneously during SNP identification and analysis. One hundred amplicons derived from expressed sequence tag (ESTs) were analyzed to identify SNPs in a panel of oilseed rape varieties and within two sister species representing the ancestral genomes. A total of 604 SNPs were identified, averaging one SNP in every 42 bp. It was possible to clearly discriminate SNPs that are polymorphic between different plant varieties from SNPs differentiating the two ancestral genomes. To validate the identified SNPs for their use in genetic analysis, we have developed Illumina GoldenGate assays for some of the identified SNPs. Through the analysis of a number of oilseed rape varieties and mapping populations with GoldenGate assays, we were able to identify a number of different segregation patterns in allotetraploid oilseed rape. The majority of the identified SNP markers can be readily used for genetic mapping, showing that amplicon sequencing and Illumina GoldenGate assays can be used to reliably identify SNP markers in tetraploid oilseed rape and to convert them into successful SNP assays that can be used for genetic analysis.     

Ordered catenation of sequence-tagged sites and multiplexed SNP genotyping by sequencing

We describe a method for the efficient genotyping of SNPs, involving sequencing of ordered and catenated sequence-tagged sites (OCS). In OCS, short genomic segments, each containing an SNP, are amplified by PCR using primers that carry specially designed extra nucleotides at their 5′-ends. Amplification products are then combined and converted to a concatamer in a defined order by a second round of thermal cycling. The concatenation takes place because the 5′-ends of each amplicon are designed to be complementary to the ends of the presumptive neighboring amplicons. The primer sequences for OCS are chosen using newly developed dedicated software, OCS Optimizer. Using sets of SNPs, we show that at least 10 STSs can be concatenated in a predefined order and all SNPs in the STSs are accurately genotyped by one two-way sequencing reaction.     

Monitoring of erythrocyte aggregate morphology under flow by computerized image analysis

The morphology of red blood cell (RBC) aggregates was studied by direct visualization of RBC aggregation at different flow conditions in a computerized image analyzer. The aggregate morphology is expressed by an Aggregate Shape Parameter (ASP), defined as the ratio of the aggregate projected area to its square perimeter. Aggregation was induced by either dextran-70 (m.w. 70,000) or dextran-500 (m.w. 500,000), and compared to that in plasma. It was found that the aggregate morphology is a characteristic of the aggregating agent-in dextran-500, the RBC form rouleau aggregates as in plasma, while in dextran-70, they form clusters. In each system, while maintaining the overall typical morphology, the ASP decreases (i.e., the aggregate becomes longer) as the aggregate size is increased. The distribution of the ASP as a function of the aggregate size remains unchanged when the aggregate size is changed by modulation of the dextran concentration or the shear stress. Stretching of a rouleau aggregate by application of shear stress is reflected by a corresponding change in the ASP. It is suggested that the ASP is a characteristic of intercellular interactions. A theoretical model is proposed for evaluation of the deviation of aggregate shape from that of rouleau structure.     

SNP array analysis in constitutional and cancer genome diagnostics--copy number variants, genotyping and quality control

Array-based comparative genomic hybridization analysis of genomic DNA was first applied in postnatal diagnosis for patients with intellectual disability (ID) and/or congenital anomalies (CA). Genome-wide single-nucleotide polymorphism (SNP) array analysis was subsequently implemented as the first line diagnostic test for ID/CA patients in our laboratory in 2009, because its diagnostic yield is significantly higher than that of routine cytogenetic analysis. In addition to the detection of copy number variations, the genotype information obtained with SNP array analysis enables the detection of stretches of homozygosity and thereby the possible identification of recessive disease genes, mosaic aneuploidy, or uniparental disomy. Patient-parent (trio) information analysis is used to screen for the presence of any form of uniparental disomy in the patient and can determine the parental origin of a de novo copy number variation. Moreover, the outcome of a genotype analysis is used as a final quality control by ruling out potential sample mismatches due to non-paternity or sample mix-up. SNP array analysis is now also used in our laboratory for patients with disorders for which locus heterogeneity is known (homozygosity pre-screening), in prenatal diagnosis in case of structural ultrasound anomalies, and for patients with leukemia. In this report, we summarize our array findings and experiences in the various diagnostic applications and demonstrate the power of a SNP-based array platform for molecular karyotyping, because it not only significantly improves the diagnostic yield in both constitutional and cancer genome diagnostics, but it also enhances the quality of the diagnostic laboratory workflow.     

Rapid detection of quinolone-resistant Salmonella by real time SNP genotyping

A total of 63 isolates were screened for the gyrA mutation (87Asp-Tyr) in Salmonella enterica serovars using real time PCR. All of the isolates were successfully identified as resistant or susceptible, consistent with the MIC result of the agar dilution method and gyrA sequencing.     

Automatic quantitation of cell colonies on petri dishes by computerized image analysis

Clonogenic assay is one of the most sensitive assays, widely used to evaluate the effects of antineoplastic agentsin vitro. A computer program was developed on an IBAS 2.0 Image Analysis System for automated quantiation of cell colonies and clone area on Petri dishes. The sensitivity of the clonogenic assay can be greatly increased by evaluating the mean area of the clones. The program gives an objective, accurate and fast evaluation of large samples. It is simple to use and offers a high degree of flexibility. Special algorithms and techniques have been implemented for good quantitation of both connected and well-separated colonies and to reduce the background noise and the general error rate. The principles and solutions presented are applicable to any other image analysis system.Abbreviations FBS fetal bovine serum - ATCC American Type Culture Collection - DDATHF 5,10-dideazatetrahydrofolic acid - PBS phosphate buffered saline     

SNP genotyping on pooled DNAs: comparison of genotyping technologies and a semi automated method for data storage and analysis

We have compared the accuracy, efficiency and robustness of three methods of genotyping single nucleotide polymorphisms on pooled DNAs. We conclude that (i) the frequencies of the two alleles in pools should be corrected with a factor for unequal allelic amplification, which should be estimated from the mean ratio of a set of heterozygotes (k); (ii) the repeatability of an assay is more important than pinpoint accuracy when estimating allele frequencies, and assays should therefore be optimised to increase the repeatability; and (iii) the size of a pool has a relatively small effect on the accuracy of allele frequency estimation. We therefore recommend that large pools are genotyped and replicated a minimum of four times. In addition, we describe statistical approaches to allow rigorous comparison of DNA pool results. Finally, we describe an extension to our ACeDB database that facilitates management and analysis of the data generated by association studies.     

Allele-specific hybridization using streptavidin-coated magnetic beads for species identification, S genotyping, and SNP analysis in plants

Dot-blot hybridization has been successfully used for the construction of single nucleotide polymorphism (SNP)-based linkage maps, quantitative trait locus analysis, marker-assisted selection, and the identification of species and cultivars. This method is, however, time-consuming, even for a small number of plant samples. We propose a method in which streptavidin-coated magnetic beads replace the nylon membrane for immobilization of the PCR products and are hybridized with allele-specific oligonucleotide probes and a digoxigenin-labeled oligonucleotide hybridized with the allele-specific oligonucleotide probe. After amplification of plant DNA by PCR with the biotinylated primers, those oligonucleotide probes having species-specific or allele-specific sequences were mixed together with the digoxigenin-labeled oligonucleotide and the streptavidin-coated magnetic beads at a temperature suitable for each probe. Species-specific internal transcribed spacer 1 (ITS1) sequences and allele-specific sequences of the hypervariable region I of S-locus receptor kinase (SRK) specifically detected ITS1 sequences and SRK alleles in Brassica species, respectively. SNPs were also successfully analyzed by using allele-specific oligonucleotide probes and competitive oligonucleotides. In the SNP analysis, PCR products were indirectly captured by magnetic beads. SNP alleles of eight cultivars each of Brassica rapa and Raphanus sativus were analyzed using streptavidin-coated magnetic beads. The genotyping results corresponded well with those of dot-blot-SNP analysis. Although allele-specific hybridization using streptavidin-coated magnetic beads is somewhat costly, it is easier and more rapid than dot-blot hybridization. This method is suitable for the analysis of a small number of plant samples with a large number of DNA markers.     

Quantification of angiogenesis by a computerized image analysis system in renal cell carcinoma

OBJECTIVE: To ascertain whether tumor angiogenesis quantitated by a computerized image analysis system correlates with clinical outcome in renal cell carcinoma. STUDY DESIGN: Microvessels were immunohistochemically labeled with antibodies to CD34 in sections from 62 cases of renal cell carcinoma. Computerized image analysis was used to evaluate the mean microvessel count (MMC) and mean percentage microvessel area (MPMA). RESULTS: MMC ranged from 19.3 to 315.0, while MPMA was 0.6-17.9%. There was a highly significant correlation between MMC and MPMA (r = .867, P < .01). Although MMC and MPMA decreased with increasing nuclear grade and TNM stage, this difference failed to achieve statistical significance. No statistically significant differences in survival were found for MMC or MPMA. CONCLUSION: Our results indicate that computerized image analysis can evaluate accurately tumor angiogenesis, but tumor angiogenesis in renal cell carcinoma does not provide significant prognostic information in renal cell carcinoma.     

Accuracy of breeding values of 'unrelated' individuals predicted by dense SNP genotyping

Background

Recent developments in SNP discovery and high throughput genotyping technology have made the use of high-density SNP markers to predict breeding values feasible. This involves estimation of the SNP effects in a training data set, and use of these estimates to evaluate the breeding values of other ''evaluation'' individuals. Simulation studies have shown that these predictions of breeding values can be accurate, when training and evaluation individuals are (closely) related. However, many general applications of genomic selection require the prediction of breeding values of ''unrelated'' individuals, i.e. individuals from the same population, but not particularly closely related to the training individuals.

Methods

Accuracy of selection was investigated by computer simulation of small populations. Using scaling arguments, the results were extended to different populations, training data sets and genome sizes, and different trait heritabilities.

Results

Prediction of breeding values of unrelated individuals required a substantially higher marker density and number of training records than when prediction individuals were offspring of training individuals. However, when the number of records was 2*N_e*L and the number of markers was 10*N_e*L, the breeding values of unrelated individuals could be predicted with accuracies of 0.88 – 0.93, where N_e is the effective population size and L the genome size in Morgan. Reducing this requirement to 1*N_e*L individuals, reduced prediction accuracies to 0.73–0.83.

Conclusion

For livestock populations, 1N_eL requires about ~30,000 training records, but this may be reduced if training and evaluation animals are related. A prediction equation is presented, that predicts accuracy when training and evaluation individuals are related. For humans, 1N_eL requires ~350,000 individuals, which means that human disease risk prediction is possible only for diseases that are determined by a limited number of genes. Otherwise, genotyping and phenotypic recording need to become very common in the future.     

Subclassification of follicular lymphomas by computerized image processing

Non-Hodgkin's lymphomas with a follicular pattern are subdivided on the basis of morphologic criteria into four subtypes. Each subtype has a distinctive natural history, response to therapy and survival, and precise histologic diagnosis is essential for optimal treatment. However, recent studies by a panel of seven expert hematopathologists showed that there was a 20% to 40% likelihood of disagreement in subtyping non-Hodgkin's follicular lymphomas; thus, the likelihood of a patient receiving inappropriate treatment is high. To resolve some of the problems relating to subjective morphologic diagnosis, we have continued to investigate the possibility of using computerized image analysis to perform automated subtyping of follicular lymphomas. In the portion of the study reported herein, a total of 37 cases were selected from the set subtyped by the panel of expert hematopathologists, and digitized images of slides from each case were processed by computer. The computer-generated subtypes were compared with those arrived at by the panel. For the cases analyzed, the computer subtyping was at least as good as, and in some instances superior to, that of most of the expert panelists.     

SNP genotyping through the melting analysis of unlabelled oligonucleotide applied on dilute PCR amplicon

Adaptation of DNA melting analysis for polymorphic single nucleotides (SNPs) genotyping using an unlabeled oligonucleotide probe for polymorphic DNAs under the presence of fluorescent DNA binding dye necessitates a reaction condition where the probe efficiently associates with a target strand that is PCR amplified. We present experimental evidence that application of an unlabeled probe to a dilute PCR amplicon provides a condition such that the fluorescent signals gained subsequently by probe melting are sufficient to discriminate allelic identities. This approach is best exploited by adapting the multiplexing PCR technique in order to cover multiple SNPs for given samples. 3′-end modification of the probe is unnecessary as the amplicon dilution step provides a way of inactivating the polymerase through divalent cation chelation. With the use of low-cost reagents and ordinary laboratory equipment, this method offers a rapid, simple and cost-efficient way of SNP genotyping.     

Manual 768 or 384 well microplate gel ‘dry’ electrophoresis for PCR checking and SNP genotyping

Electrophoresis continues to be a mainstay in molecular genetic laboratories for checking, sizing and separating both PCR products, nucleic acids derived from in vivo or in vitro sources and nucleic acid–protein complexes. Many genomic and genetic applications demand high throughput, such as the checking of amplification products from many loci, from many clones, from many cell lines or from many individuals at once. These applications include microarray resource development and expression analysis, genome mapping, library and DNA bank screening, mutagenesis experiments and single nucleotide polymorphism (SNP) genotyping. PCR hardware compatible with industry standard 96 and 384 well microplates is commonplace. We have previously described a simple system for submerged horizontal 96 and 192 well polyacrylamide or agarose microplate array diagonal gel electrophoresis (MADGE) which is microplate compatible and suitable for PCR checking, SNP typing (restriction fragment length polymorphism or amplification refractory mutation system), microsatellite sizing and identification of unknown mutations. By substantial redesign of format and operations, we have derived an efficient ‘dry’ gel system that enables direct 96 pin manual transfer from PCR or other reactions in microplates, into 768 or 384 well gels. Combined with direct electrode contact in clamshell electrophoresis boxes which plug directly to contacts in a powered stacking frame and using 5–10 min electrophoresis times, it would be possible (given a sufficient supply of PCRs for examination) for 1 million gel tracks to be run per day for a minimal hardware investment and at minimal reagent costs. Applications of this system for PCR checking and SNP genotyping are illustrated.