Comparisons of substitution, insertion and deletion probes for resequencing and mutational analysis using oligonucleotide microarrays

A Pterin-FAM-TAMRA Tri-color Fluorescence Biosensor to Detect the Level of KRAS Point Mutation

Monitoring the changes in the level of KRAS point mutation (the concentration fraction of the KRAS point mutated DNA to the total DNA) in clinical treatment progress can guide and greatly improve the personalized therapy and therapeutic evaluation of patients with cancer. In this work, based on FRET fluorescence quenching and apyrimidinic site-induced guanine/pterin specific binding, we developed a pterin-FAM-TAMRA tri-color fluorescence sensing system to assess the level of KRAS point mutation in one step. The responses from TAMRA displayed good and similar linear correlations in the range from 60 nM to 2 μM for all four types of DNA, resulting in a common linear equation related to the T-DNA concentration (N_ΔFTAMRA = 2.908c_T-DNA + 0.364). Meanwhile, the responses from pterin showed excellent selectivity to W-DNA and an excellent linear correlation to the W-DNA in the concentration range from 60 nM to 1 μM (N_ΔFpterin = -0.364c_gDNA-G + 0.034). This biosensor has an effective concentration range for detecting KRAS point mutations. Especially, because the apyrimidinic site-induced guanine/pterin binding is selective for the detection of wild-type DNA, the sensing system can be applied for clinical mutation level detection of all kinds of KRAS point mutations (G → A, G → C and G → T) in blood samples, which is crucial for the personalized therapy and therapeutic evaluation of patients with most KRAS-related cancer types.

Detection of human genome mutations associated with pregnancy complications using 3-D microarray based on macroporous polymer monoliths

Analysis of variations in DNA structure using a low-density microarray technology for routine diagnostic in evidence-based medicine is still relevant. In this work the applicability of 3-D macroporous monolithic methacrylate-based platforms for detection of different pathogenic genomic substitutions was studied. The detection of nucleotide replacements in F5 (Leiden G/A, rs6025), MTHFR (C/T, rs1801133) and ITGB3 (T/C, rs5918), involved in coagulation, and COMT (C/G, rs4818), TPH2 (T/A, rs11178997), PON1 (T/A rs854560), AGTR2 (C/A, rs11091046) and SERPINE1 (5G/4G, rs1799889), associated with pregnancy complications, was performed. The effect of such parameters as amount and type of oligonucleotide probe, amount of PCR product on signal-to-noise ratio, as well as mismatch discrimination was analyzed. Sensitivity and specificity of mutation detections were coincided and equal to 98.6%. The analysis of SERPINE1 and MTHFR genotypes by both NGS and developed microarray was performed and compared.

Development of a high-throughput resequencing array for the detection of pathogenic mutations in osteogenesis imperfecta

Objective

Osteogenesis imperfecta (OI) is a rare inherited skeletal disease, characterized by bone fragility and low bone density. The mutations in this disorder have been widely reported to be on various exonal hotspots of the candidate genes, including COL1A1, COL1A2, CRTAP, LEPRE1, and FKBP10, thus creating a great demand for precise genetic tests. However, large genome sizes make the process daunting and the analyses, inefficient and expensive. Therefore, we aimed at developing a fast, accurate, efficient, and cheaper sequencing platform for OI diagnosis; and to this end, use of an advanced array-based technique was proposed.

Method

A CustomSeq Affymetrix Resequencing Array was established for high-throughput sequencing of five genes simultaneously. Genomic DNA extraction from 13 OI patients and 85 normal controls and amplification using long-range PCR (LR-PCR) were followed by DNA fragmentation and chip hybridization, according to standard Affymetrix protocols. Hybridization signals were determined using GeneChip Sequence Analysis Software (GSEQ). To examine the feasibility, the outcome from new resequencing approach was validated by conventional capillary sequencing method.

Result

Overall call rates using resequencing array was 96–98% and the agreement between microarray and capillary sequencing was 99.99%. 11 out of 13 OI patients with pathogenic mutations were successfully detected by the chip analysis without adjustment, and one mutation could also be identified using manual visual inspection.

Conclusion

A high-throughput resequencing array was developed that detects the disease-associated mutations in OI, providing a potential tool to facilitate large-scale genetic screening for OI patients. Through this method, a novel mutation was also found.

Influence of the length of target DNA overhang proximal to the array surface on discrimination of single-base mismatches on a 25-mer oligonucleotide array

Background

The performance of probes on an oligonucleotide microarray can be characterised in terms of hybridisation signal strength and the ability to discriminate sequence mismatches between the probe and the hybridising target strand, such as those resulting from SNPs. Various properties of the probe affect mismatch discrimination, such as probe length and the position of mismatched bases, and the effects of these factors have been well characterised in a variety of array formats.

Results

A low-density microarray was developed to systematically investigate the effect of a probe’s position within hybridised target PCR products on the tolerance and discrimination of single-nucleotide mismatches between the probe and target. In line with previous reports, hybridisation signals were attenuated by different degrees depending on the identity of the mismatch, the position of the mismatch within the probe, and the length of the PCR product. However, the same mismatch caused different degrees of attenuation depending on the position of the probe within the hybridising product, such that improved mismatch discrimination was observed for PCR products where a greater proportion of the total length was proximal to the array surface.

Conclusions

These results suggest that the degree of mismatch discrimination can be influenced by the choice of PCR primers, providing a means by which array performance could be fine-tuned in addition to manipulation of the properties of the probes themselves.

Development of a physical model-based algorithm for the detection of single-nucleotide substitutions by using tiling microarrays

High-density DNA microarrays are useful tools for analyzing sequence changes in DNA samples. Although microarray analysis provides informative signals from a large number of probes, the analysis and interpretation of these signals have certain inherent limitations, namely, complex dependency of signals on the probe sequences and the existence of false signals arising from non-specific binding between probe and target. In this study, we have developed a novel algorithm to detect the single-base substitutions by using microarray data based on a thermodynamic model of hybridization. We modified the thermodynamic model by introducing a penalty for mismatches that represent the effects of substitutions on hybridization affinity. This penalty results in significantly higher detection accuracy than other methods, indicating that the incorporation of hybridization free energy can improve the analysis of sequence variants by using microarray data.

Mutation screening of multiple genes in Spanish patients with autosomal recessive retinitis pigmentosa by targeted resequencing

Retinitis Pigmentosa (RP) is a heterogeneous group of inherited retinal dystrophies characterised ultimately by the loss of photoreceptor cells. RP is the leading cause of visual loss in individuals younger than 60 years, with a prevalence of about 1 in 4000. The molecular genetic diagnosis of autosomal recessive RP (arRP) is challenging due to the large genetic and clinical heterogeneity. Traditional methods for sequencing arRP genes are often laborious and not easily available and a screening technique that enables the rapid detection of the genetic cause would be very helpful in the clinical practice. The goal of this study was to develop and apply microarray-based resequencing technology capable of detecting both known and novel mutations on a single high-throughput platform. Hence, the coding regions and exon/intron boundaries of 16 arRP genes were resequenced using microarrays in 102 Spanish patients with clinical diagnosis of arRP. All the detected variations were confirmed by direct sequencing and potential pathogenicity was assessed by functional predictions and frequency in controls. For validation purposes 4 positive controls for variants consisting of previously identified changes were hybridized on the array. As a result of the screening, we detected 44 variants, of which 15 are very likely pathogenic detected in 14 arRP families (14%). Finally, the design of this array can easily be transformed in an equivalent diagnostic system based on targeted enrichment followed by next generation sequencing.

Rapid photometric detection of thymine residues partially flipped out of double helix as a method for direct scanning of point mutations and apurinic DNA sites

A spectroscopic assay for detection of extrahelical thymine residues in DNA heteroduplexes under their modification by potassium permanganate has been developed. The assay is based on increase in absorbance at 420 nm due to accumulation of thymidine oxidation intermediates and soluble manganese dioxide. The analysis was carried out using a set of 19-bp DNA duplexes containing unpaired thymidines opposite tetrahydrofuranyl derivatives mimicking a widespread DNA damage (apurinic (AP) sites) and a library of 50-bp DNA duplexes containing all types of base mismatches in different surroundings. The relation between the selectivity of unpaired T oxidation and the thermal stability of DNA double helix was investigated. The method described here was shown to discriminate between DNA duplexes with one or two AP sites and to reveal thymine-containing mismatches and all noncanonical base pairs in AT-surroundings. Comparative results of CCM analysis and the rapid photometric assay for mismatch detection are demonstrated for the first time in the same model system. The chemical reactivity of target thymines was shown to correlate with local disturbance of double helix at the mismatch site. As the spectroscopic assay does not require the DNA cleavage reaction and gel electrophoresis, it can be easily automated and used for primary screening of somatic mutations.

Insights into N-calls of mitochondrial DNA sequencing using MitoChip v2.0

Background

Developments in DNA resequencing microarrays include mitochondrial DNA (mtDNA) sequencing and mutation detection. Failure by the microarray to identify a base, compared to the reference sequence, is designated an 'N-call.' This study re-examined the N-call distribution of mtDNA samples sequenced by the Affymetrix MitoChip v.2.0, based on the hypothesis that N-calls may represent insertions or deletions (indels) in mtDNA.

Findings

We analysed 16 patient mtDNA samples using MitoChip. N-calls by the proprietary GSEQ software were significantly reduced when either of the freeware on-line algorithms ResqMi or sPROFILER was utilized. With sPROFILER, this decrease in N-calls had no effect on the homoplasmic or heteroplasmic mutation levels compared to GSEQ software, but ResqMi produced a significant change in mutation load, as well as producing longer N-cell stretches. For these reasons, further analysis using ResqMi was not attempted. Conventional DNA sequencing of the longer N-calls stretches from sPROFILER revealed 7 insertions and 12 point mutations. Moreover, analysis of single-base N-calls of one mtDNA sample found 3 other point mutations.

Conclusions

Our study is the first to analyse N-calls produced from GSEQ software for the MitoChipv2.0. By narrowing the focus to longer stretches of N-calls revealed by sPROFILER, conventional sequencing was able to identify unique insertions and point mutations. Shorter N-calls also harboured point mutations, but the absence of deletions among N-calls suggests that probe confirmation affects binding and thus N-calling. This study supports the contention that the GSEQ is more capable of assigning bases when used in conjunction with sPROFILER.

An integrated bioinformatics approach to the characterization of influenza A/H5N1 viral sequences by microarray data: Implication for monitoring H5N1 emerging strains and designing appropriate influenza vaccines

In order to characterize A/H5N1 viral sequences, a bioinformatics approach accurately identified viral sequences from discovery of a sequence signature, which provided enough distinctive information for sequence identification. Eight highly pathogenic H5N1 viral isolations were collected from different areas of Thailand between 2003 and 2006, and were used for analysis of H5N1 genotypic testing with a semiconductor-based oligonucleotide microarray. All H5N1 samples and H1N1, H4N8 negative controls were correctly subtyped. Sensitivity of the eight oligonucleotide probes, with optimized cut-offs, ranged from 70% (95% CI 65-75) to 87% (95% CI 84-91), and the corresponding Kappa values ranged from 0.76 (95% CI 0.72-0.80) to 0.86 (95% CI 0.83-0.89). Semi-conductor-based oligonucleotide array and oligonucleotide probes corresponded well when detecting H5N1. After fully correcting the subtype from the result of microarray signal intensity, the microarray output method combined with bioinformatics tools, identified and monitored genetic variations of H5N1. Capability of distinguishing different strains of H5N1 from Thailand was the outstanding feature of this assay. Ninety percent of HA and NA (4/5) genes were sequenced correctly, in accordance with previous examinations performed by classical diagnostic methods. The low-medium-high bioinformatics resolutions were able to predict an epidemic strain of H5N1. This study also showed the advantage of using a large genotypic database to predict the epidemic strain of H5N1. However, the monitoring protocol of this new strain has been recommended for further study with a large-scale sample.

High-throughput resequencing in the diagnosis of BRCA1/2 mutations using oligonucleotide resequencing microarrays

Breast cancer is the most frequent form of carcinoma in European females (incidence 65 per 100,000). In about 10% of all cases, pedigree analysis predicts a hereditary breast-ovarian cancer syndrome (HBOC) to be causative for the disease. Frequently, mutations in two genes, BRCA1 (Chr. 17q21) and BRCA2 (Chr. 13q12), are associated with HBOC. In females, mutations in these genes result in a lifetime risk of 80-85% for breast cancer and 54% (BRCA1) or 23% (BRCA2) for ovarian cancer. Current genetic diagnostic tools for BRCA1 and BRCA2 remain laborious and expensive. Here, we present the first oligonucleotide resequencing microarray covering the complete coding sequence of both genes. In total, 36 previously characterized DNAs were resequenced; all 11 patients with single-nucleotide mutations and, due to a special mutational design, eight patients with heterozygous deletions were detected correctly. In total, 47 different single-nucleotide variants (SNVs) were found. A newly developed software, SeqC, reduced the number of ambiguous calls with the help of a statistical module comparing the acquired data to an online-database. SeqC improved the average call rate to 99% (GSeq: 97%) and reduced time and efforts for manual analysis. SeqC confirmed the results obtained by GSeq and found an additional 33 sequences changes representing 14 SNVs. In total, 945 kb were screened and the overall turnaround time for each patient took approximately 3 days, including analysis.

Oligonucleotide probe array for p53 gene alteration analysis in DNA from formalin-fixed paraffin-embedded breast cancer tissues

Mutations in the TP53 tumor-suppressor (p53) gene represent the most common molecular changes in various malignancies, including breast cancer (BC). We sequenced the p53 gene in DNA extracted from archival paraffin-embedded BC tissues and compared the results obtained from direct sequencing with those obtained by oligonucleotide probe array (OPA). DNA was extracted from 34 samples. OPA correctly detected 13 genetic alterations in 14 cases, with a mutation frequency of 41.2%. No changes were detected in exons 3, 4, 9, 10, and 11 and no polymorphisms were found. Direct manual sequencing in which DNA was amplified by PCR showed 21 genetic mutations in 19 (55.9%) cases. Eight mutations were identified by both OPA and PCR methods. Although OPA detected fewer gene alterations than direct sequencing, the difference was not significant (P= 0.11). In conclusion, the OPA may be safely used to identify individual genetic variations of human p53 gene in BC specimens.

Identification of novel mutations and sequence variation in the Zellweger syndrome spectrum of peroxisome biogenesis disorders

Peroxisome biogenesis disorders (PBD) are a heterogeneous group of autosomal recessive neurodegenerative disorders that affect multiple organ systems. Approximately 80% of PBD patients are classified in the Zellweger syndrome spectrum (PBD-ZSS). Mutations in the PEX1, PEX6, PEX10, PEX12, or PEX26 genes are found in approximately 90% of PBD-ZSS patients. Here, we sequenced the coding regions and splice junctions of these five genes in 58 PBD-ZSS cases previously subjected to targeted sequencing of a limited number of PEX gene exons. In our cohort, 71 unique sequence variants were identified, including 18 novel mutations predicted to disrupt protein function and 2 novel silent variants. We identified 4 patients who had two deleterious mutations in one PEX gene and a third deleterious mutation in a second PEX gene. For two such patients, we conducted cell fusion complementation analyses to identify the defective gene responsible for aberrant peroxisome assembly. Overall, we provide empirical data to estimate the relative fraction of disease-causing alleles that occur in the coding and splice junction sequences of these five PEX genes and the frequency of cases where mutations occur in multiple PEX genes. This information is beneficial for efforts aimed at establishing rapid and sensitive clinical diagnostics for PBD-ZSS patients and interpreting the results from these genetic tests.

Specific mutation screening of TP53 gene by low-density DNA microarray

TP53 is the most commonly mutated gene in human cancers. Approximately 90% of mutations in this gene are localized between domains encoding exons 5 to 8. The aim of this investigation was to examine the ability of the low density DNA microarray with the assistance of double tandem hybridization platform to characterize TP53 mutational hotspots in exons 5, 7, and 8 of the TP53. Nineteen capture probes specific to each potential mutation site were designed to hybridize to specific site. Virtual hybridization was used to predict the stability of hybridization of each capture probe with the target. Thirty-three DNA samples from different sources were analyzed for mutants in these exons. A total of 32 codon substitutions were found by DNA sequencing. 24 of them a showed a perfect correlation with the hybridization pattern system and DNA sequencing analysis of the regions scanned. Although in this work we directed our attention to some of the most representative mutations of the TP53 gene, the results suggest that this microarray system proved to be a rapid, reliable, and effective method for screening all the mutations in TP53 gene.

Audioprofile-directed screening identifies novel mutations in KCNQ4 causing hearing loss at the DFNA2 locus

PURPOSE

Gene identification in small families segregating autosomal dominant sensorineural hearing loss presents a significant challenge. To address this challenge, we have developed a machine learning-based software tool, AudioGene v2.0, to prioritize candidate genes for mutation screening based on audioprofiling.

METHODS

We analyzed audiometric data from a cohort of American families with high-frequency autosomal dominant sensorineural hearing loss. Those families predicted to have a DFNA2 audioprofile by AudioGene v2.0 were screened for mutations in the KCNQ4 gene.

RESULTS

Two novel missense mutations and a stop mutation were detected in three American families predicted to have DFNA2-related deafness for a positive predictive value of 6.3%. The false negative rate was 0%. The missense mutations were located in the channel pore region and the stop mutation was in transmembrane domain S5. The latter is the first DFNA2-causing stop mutation reported in KCNQ4.

CONCLUSIONS

Our data suggest that the N-terminal end of the P-loop is crucial in maintaining the integrity of the KCNQ4 channel pore and AudioGene audioprofile analysis can effectively prioritize genes for mutation screening in small families segregating high-frequency autosomal dominant sensorineural hearing loss. AudioGene software will be made freely available to clinicians and researchers once it has been fully validated.

New, improved, and practical k-stem sequence similarity measures for probe design

We define new measures of sequence similarity for oligonucleotide probe design. These new measures incorporate the nearest neighbor k-stem motifs in their definition, but can be efficiently computed by means of a bit-vector method. They are not as computationally costly as algorithms that predict nearest neighbor hybridization potential. Our new measures for sequence similarity correlate significantly better with nearest neighbor thermodynamic predictions than either BLAST or the standard edit or insertion-deletion defined similarities already in use in many different probe design applications.

Multi-stringency wash of partially hybridized 60-mer probes reveals that the stringency along the probe decreases with distance from the microarray surface

Here, we describe a multi-parametric study of DNA hybridization to probes with 20–70% G + C content. Probes were designed towards 71 different sites/mutations in the phenylalanine hydroxylase gene. Seven probe lengths, three spacer lengths and six stringencies were systematically varied. The three spacer lengths were obtained by placing the gene-specific sequence in discrete steps along the 60-mer probes. The study was performed using Agilent 8 × 15 000 probes custom-made arrays and a home-built array washer providing different stringencies to each of the eight sub-arrays on the slides. Investigation of hybridization signals, specificity and dissociation curves indicated that probes close to the surface were influenced by an additional stringency provided by the microarray surface. Consistent with this, probes close to the surface required 4 × SSC, while probes placed away from the surface required 0.35 × SSC wash buffers in order to give accurate genotyping results. Multiple step dissociation was frequently observed for probes placed furthest away from surface, but not for probes placed proximal to the surface, which is consistent with the hypothesis that there is different stringency along the 60-mer. The results have impact on design of probes for genotyping, gene expression and comparative genome hybridization analysis.

Biophysical characterization of double-stranded oligonucleotides using ETBR and isothermal fluorescence spectroscopy: implication for SNP genotyping

The UV-absorption, fluorescence and CD spectra of aps 23 bp oligoduplexes were performed for potential diagnostic purpose. These oligonucleotide sequences were mimicked from natural mutations (mitochondrial genome) of human population (unpublished). This work was designed on the basis of hybridization of non-self complementary oligoduplexes (aps) containing no mismatch, one-mismatch and two-mismatches. Since melting temperature is dependent on concentration of the oligoduplex, various concentrations were used in this study protocol. The thermal spectra profiles (UV absorbance and fluorescence) of these oligoduplexes (aps) are different for a particular concentration, and can be implicated for mutations. -dF/dT (or dA/dT) vs T, lnK (or RlnK) vs TM, DeltaG vs TM, DeltaS vs TM and DeltaH vs TM are also variable for those sequences. All these thermodynamic data were calculated from absorbance (at 260 nm) data. On the contrary to the 23 bp oligoduplexes (aps), the PCR products of 97 bp and 256 bp length were genotyped with ETBR (excitation 530 nm, emission 600 nm) fluorimetrically. But our attempts to genotype these PCR sequences with isothermal UV absorbance spectroscopy were unsuccessful. Isothermal UV absorbance spectra has a limitation of sequence length. However, the structural conformation (all B-type) of the oligoduplexes (aps) was determined using CD. The minor discrepancy in CD spectra of these oligoduplexes are not significant for mutational analysis. 97 bp nested PCR product was an amplicon having either GcT or AcC mutation of mitochondria of normal human population, whereas 256 bp PCR product was an amplicon of human BRCA2 gene (NCBI Accession No. AY151039) of chromosome 13 having either A or G mutation at position -26.

Microarray-based DNA resequencing using 3' blocked primers

To exceed the throughput and accuracy of conventional sequencing technologies, we tested a method (pyrophosphorolysis-activated polymerization [PAP]) of nucleic acid amplification that uses 3' blocked primers (P*s). As proof-of-principle, we resequenced a 20-bp region of the factor IX gene with a microarray of P*s. P*s discriminate 3' end mismatches with ultra-high specificity as well as mismatches along their lengths with high specificity. We correctly identified two wild-type samples as well as all mismatches, including three single-base substitutions, one microdeletion, one microinsertion, and one heterozygous mutation. Despite limitations in the primer purity, the signal/noise ratio between the matched and mismatched P*s sometimes exceeded 1000. Thus, PAP resequencing shows great potential for accurate and high-throughput microarray-based resequencing.

High throughput genetic analysis of congenital myasthenic syndromes using resequencing microarrays

Background

The use of resequencing microarrays for screening multiple, candidate disease loci is a promising alternative to conventional capillary sequencing. We describe the performance of a custom resequencing microarray for mutational analysis of Congenital Myasthenic Syndromes (CMSs), a group of disorders in which the normal process of neuromuscular transmission is impaired.

Methodology/Principal Findings

Our microarray was designed to assay the exons and flanking intronic regions of 8 genes linked to CMSs. A total of 31 microarrays were hybridized with genomic DNA from either individuals with known CMS mutations or from healthy controls. We estimated an overall microarray call rate of 93.61%, and we found the percentage agreement between the microarray and capillary sequencing techniques to be 99.95%. In addition, our microarray exhibited 100% specificity and 99.99% reproducibility. Finally, the microarray detected 22 out of the 23 known missense mutations, but it failed to detect all 7 known insertion and deletion (indels) mutations, indicating an overall sensitivity of 73.33% and a sensitivity with respect to missense mutations of 95.65%.

Conclusions/Significance

Overall, our microarray prototype exhibited strong performance and proved highly efficient for screening genes associated with CMSs. Until indels can be efficiently assayed with this technology, however, we recommend using resequencing microarrays for screening CMS mutations after common indels have been first assayed by capillary sequencing.

Insight into the sequence specificity of a probe on an Affymetrix GeneChip by titration experiments using only one oligonucleotide

High-density oligonucleotide arrays are powerful tools for the analysis of genome-wide expression of genes and for genome-wide screens of genetic variation in living organisms. One of the critical problems in high-density oligonucleotide arrays is how to identify the actual amounts of a transcript due to noise and cross-hybridization involved in the observed signal intensities. Although mismatch (MM) probes are spotted on Affymetrix GeneChips to evaluate the noise and cross-hybridization embedded in perfect match (PM) probes, the behavior of probe-level signal intensities remains unclear. In the present study, we hybridized only one complement 25-mer oligonucleotide to characterize the behavior of duplex formation between target and probe in the complete absence of cross-hybridization. Titration experiments using only one oligonucleotide demonstrated that a substantial amount of intact target was hybridized not only to the PM but also the MM probe and that duplex formation between intact target and MM probe was efficiently reduced by increasing the stringency of hybridization conditions and shortening probe length. In addition, we discuss the correlation between potential for secondary structure of target oligonucleotide and hybridization intensity. These findings will be useful for the development of genome-wide analysis of gene expression and genetic variations by optimization of hybridization and probe conditions.

Uses of microarray platforms in cancer: a correlative study between genomic copy number changes and their expression at mRNA and protein levels

With the completion of the Human Genome Project, the microarray technology has evolved into a sophisticated platform by which complex diseases such as cancer, can be studied at the genome, transcriptome, and proteome levels. Here, various microarray platforms, namely comparative genomic hybridization, cDNA, oligonucleotide, and protein-based microarrays are exploited to study genomic copy-number changes in a human cancer cell line and correlate these genomic aberrations with their expression at mRNA and protein levels. The protocols described therein can be assimilated for the study of other human tissues including cancerous ones.

Molecular approaches in the diagnosis of primary immunodeficiency diseases

Over 120 inherited primary immunodeficiency diseases (PIDs) are known to exist. The genes responsible for many of these diseases have also been identified. Recent advances in diagnostic procedures have enabled these to be identified earlier and appropriately treated. While a number of approaches are available to identify mutations, direct sequencing remains the gold standard. This approach identifies the exact genetic change with substantial precision. We suggest that a sensitive and economical approach to mutation detection could be the direct sequencing of cDNA followed by the confirmatory sequencing of the corresponding exon. While screening techniques such as single-stranded conformation polymorphism (SSCP), heteroduplex analysis (HA), denaturing gradient gel electrophoresis (DGGE), and denaturing high-performance liquid chromatography (dHPLC) have proven useful, each has inherent advantages and disadvantages. We discuss these advantages and disadvantages and also discuss the potential of future sequencing technologies such as pyrosequencing, combinatorial sequencing-by-hybridization, multiplex polymerase colony (polony), and resequencing arrays as tools for future mutation detection. In addition we briefly discuss several high-throughput SNP detection technologies.

Microcoding and flow cytometry as a high-throughput fungal identification system for Malassezia species

Yeasts of the genus Malassezia have been associated with a variety of dermatological disorders in humans and domestic animals. With the recent recognition of new members of the genus, new questions are emerging with regard to the pathogenesis and epidemiology of the new species. As new species are recognized, a precise and comprehensive identification system is needed. Herein is described a bead suspension culture-based array that combines the specificity and reliability of nucleic acid hybridization analysis with the speed and sensitivity of the Luminex analyser. The developed 16-plex array consisted of species- and group-specific capture probes that acted as 'microcodes' for species identification. The probes, which were designed from sequence analysis in the D1/D2 region of rRNA and internal transcribed spacer (ITS) regions, were covalently bound to unique sets of fluorescent beads. Upon hybridization, the biotinylated amplicon was detected by the addition of a fluorochrome coupled to a reporter molecule. The hybridized beads were subsequently analysed by flow cytometric techniques. The developed array, which allowed the detection of species in a multiplex and high-throughput format, was accurate and fast, since it allowed precise identification of species and required less than 1 h following PCR amplification. The described protocol, which can integrate uniplex or multiplex PCR reactions, permitted the simultaneous detection of target sequences in a single reaction, and allowed single mismatch discrimination between probe and non-target sequences. The assay has the capability to be expanded to include other medically important pathogenic species in a single or multiplex array format.

Genetic diversity contribution to errors in short oligonucleotide microarray analysis

DNA arrays based on short oligonucleotide (< or = 25-mer) probes are being developed for many species, and are being applied to quantify transcript abundance variation in species with high genetic diversity. To define the parameters necessary to design short oligo arrays for maize (Zea mays L.), a species with particularly high nucleotide (single nucleotide polymorphism, SNP) and insertion-deletion (indel) polymorphism frequencies, we analysed gene expression estimates generated for four maize inbred lines using a custom Affymetrix DNA array, and identified biases associated with high levels of polymorphism between lines. Statistically significant interactions between probes and maize inbreds were detected, affecting five or more probes (out of 30 probes per transcript) in the majority of cases. SNPs and indels were identified by re-sequencing; they are the primary source of probe-by-line interactions, affecting probeset level estimates and reducing the power of detecting transcript level variation between maize inbreds. This analysis identified 36,196 probes in 5118 probesets containing markers that may be used for genotyping in natural and segregating populations for association gene analysis and genetic mapping.

Masking selected sequence variation by incorporating mismatches into melting analysis probes

Hybridization probe melting analysis can be complicated by the presence of sequence variation (benign polymorphisms or other mutations) near the targeted mutation. We investigated the use of "masking" probes to differentiate alleles with similar probe melting temperatures. Selected sequence variation was masked by incorporating mismatches (deletion, unmatched nucleotide, or universal base) into hybridization probes at the polymorphic location. Such masking probes create a probe/target mismatch with all possible alleles at the selected polymorphic location. Any allele with additional variation at another site is identified by a lower probe melting temperature than alleles that vary only at the masked position. This "masking technique" was applied to RET protooncogene and HPA6 mutation detection using unlabeled hybridization probes, a saturating dsDNA dye, and high-resolution melting analysis. Masking probes clearly distinguished all targeted mutations from polymorphisms when at least 1 base pair (bp) separated the mutation from the masked variation. We were able to mask polymorphisms immediately adjacent to mutations, except in certain cases, such as those involving single-base deletion probes when both adjacent positions had the same polymorphic nucleotides. The masking probes can also localize mutations to specific codons or nucleotide positions. Masking probes can simplify melting analysis of complex regions and eliminate the need for sequencing.

Analysis of hybridization on the molecular barcode GeneChip microarray

Microarrays have been developed for analysis of transcriptional profiles in many organisms. For experimental simplicity and systems for which microarrays do not exist, it would be desirable to use a standard microarray platform for the analysis of multiple systems. The molecular barcode (MB) Affymetrix GeneChip could serve as such a platform. The reproducibility and quantitative capacity of the MB GeneChip were examined. Using mixed PCR templates of defined template quantity, the individual concentration responses of 384 array features were measured and shown to be highly reproducible. Moreover, the binding behaviors of the mismatched array features mirror those of the matched features, at reduced intensity. Additional analysis defined the importance of particular sequence motifs in the prediction of high-affinity and low-affinity target hybridization. The data support the future application of MB GeneChips for quantitative applications. It is proposed that at least seven orders-of-magnitude in accurate concentration sensitivity could be achieved.

Affymetrix GeneChip system: moving from research to the clinic

Affymetrix Inc.'s GeneChip technology has become the industry standard in microarray-based research. Due to the high density of content per array that can be achieved today (an industry leading 6.5 million features) the GeneChips can be used for high-throughput mutation detection, single nucleotide polymorphism genotyping, expression profiling and detection of chromosomal aberrations. This in turn opens the way for clinical applications in genetics, cytogenetics, pharmacogenetics, oncology and pathogen recognition. Establishing standards is a central issue in improving data quality and, in combination with automatic, easy-to-interpret reports, will form the basis of the clinical applicability. Future pricing policies and the resolving of ethical considerations will also dictate the technology's full translation from research into clinical laboratories.

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Exclusion/confirmation of ataxia-telangiectasia via cell-cycle testing

Ataxia telangiectasia (AT) is an autosomal recessive multisystem disorder with increased radiosensitivity and cancer susceptibility. The responsible gene (ATM) consists of 66 exons and a coding region of 9171 bp which precludes direct sequencing as a screening assay for confirmation or exclusion of the clinical suspicion of AT. Peripheral blood mononuclear cells of 330 patients referred for the exclusion of AT were exposed to ionizing radiation (IR) and incubated for 72 h in the presence of phytohemagglutinin. Using bivariate BrdU-Hoechst/ethidium bromide flowcytometry, the following cell cycle parameters were ascertained: (1) proportion of non-proliferating (G0,G1) cells as a measure of mitogen response, (2) proportion of first-cycle G2-phase cells relative to the growth fraction (G2/GF) as a measure of radiosensitivity. Of the cases tested, 94.2% could be unequivocally assigned either to the AT-negative or the AT-positive group of patients. Of the AT-positive cases, 11 were confirmed by ATM mutation analysis. Nineteen cases presented with non-conclusive results, mostly due to poor mitogen response; however, a combination of cell-cycle data with serum AFP concentrations led to the exclusion of AT in all but two of the uncertain cases. Substitution of ionizing radiation by the radiomimetic bleomycin was additionally tested in a small series of patients. We conclude that cell-cycle testing complemented by serum AFP measurements fulfills the criteria as a rapid and economical screening procedure for the differential diagnosis of juvenile ataxias.

Mutation and genomic deletion status of ataxia telangiectasia mutated (ATM) and p53 confer specific gene expression profiles in mantle cell lymphoma

Although mantle cell lymphoma (MCL) frequently harbors inactivated ataxia telangiectasia mutated (ATM) and p53 alleles, little is known about the molecular phenotypes caused by these genetic changes. We identified point mutations and genomic deletions in these genes in a series of cyclin D1-positive MCL cases and correlated genotype with gene expression profiles and overall survival. Mutated and/or deleted ATM and p53 alleles were found in 56% (40/72) and 26% (21/82) of the cases examined, respectively. Although MCL patients with inactive p53 alleles showed a significant reduction in median overall survival, aberrant ATM status did not predict for survival. Nevertheless, specific gene expression signatures indicative of the mutation and genomic deletion status of each gene were identified that were different from wild-type cases. These signatures were comprised of a select group of genes related to apoptosis, stress responses, and cell cycle regulation that are relevant to ATM or p53 function. Importantly, we found the molecular signatures are different between cases with mutations and deletions, because the latter are characterized by loss of genes colocalized in the same chromosome region of ATM or p53. This information on molecular phenotypes may provide new areas of investigation for ATM function or may be exploited by designing specific therapies for MCL cases with p53 aberrations.