High-throughput analysis of subtelomeric chromosome rearrangements by use of array-based comparative genomic hybridization

Telomeric chromosome rearrangements may cause mental retardation, congenital anomalies, and miscarriages. Automated detection of subtle deletions or duplications involving telomeres is essential for high-throughput diagnosis, but impossible when conventional cytogenetic methods are used. Array-based comparative genomic hybridization (CGH) allows high-resolution screening of copy number abnormalities by hybridizing differentially labeled test and reference genomes to arrays of robotically spotted clones. To assess the applicability of this technique in the diagnosis of (sub)telomeric imbalances, we here describe a blinded study, in which DNA from 20 patients with known cytogenetic abnormalities involving one or more telomeres was hybridized to an array containing a validated set of human-chromosome-specific (sub)telomere probes. Single-copy-number gains and losses were accurately detected on these arrays, and an excellent concordance between the original cytogenetic diagnosis and the array-based CGH diagnosis was obtained by use of a single hybridization. In addition to the previously identified cytogenetic changes, array-based CGH revealed additional telomere rearrangements in 3 of the 20 patients studied. The robustness and simplicity of this array-based telomere copy-number screening make it highly suited for introduction into the clinic as a rapid and sensitive automated diagnostic procedure.     

Denoising array-based comparative genomic hybridization data using wavelets

Array-based comparative genomic hybridization (array-CGH) provides a high-throughput, high-resolution method to measure relative changes in DNA copy number simultaneously at thousands of genomic loci. Typically, these measurements are reported and displayed linearly on chromosome maps, and gains and losses are detected as deviations from normal diploid cells. We propose that one may consider denoising the data to uncover the true copy number changes before drawing inferences on the patterns of aberrations in the samples. Nonparametric techniques are particularly suitable for data denoising as they do not impose a parametric model in finding structures in the data. In this paper, we employ wavelets to denoise the data as wavelets have sound theoretical properties and a fast computational algorithm, and are particularly well suited for handling the abrupt changes seen in array-CGH data. A simulation study shows that denoising data prior to testing can achieve greater power in detecting the aberrant spot than using the raw data without denoising. Finally, we illustrate the method on two array-CGH data sets.     

Stochastic segmentation models for array-based comparative genomic hybridization data analysis

Array-based comparative genomic hybridization (array-CGH) is a high throughput, high resolution technique for studying the genetics of cancer. Analysis of array-CGH data typically involves estimation of the underlying chromosome copy numbers from the log fluorescence ratios and segmenting the chromosome into regions with the same copy number at each location. We propose for the analysis of array-CGH data, a new stochastic segmentation model and an associated estimation procedure that has attractive statistical and computational properties. An important benefit of this Bayesian segmentation model is that it yields explicit formulas for posterior means, which can be used to estimate the signal directly without performing segmentation. Other quantities relating to the posterior distribution that are useful for providing confidence assessments of any given segmentation can also be estimated by using our method. We propose an approximation method whose computation time is linear in sequence length which makes our method practically applicable to the new higher density arrays. Simulation studies and applications to real array-CGH data illustrate the advantages of the proposed approach.     

Genomic profiling of submucosal-invasive gastric cancer by array-based comparative genomic hybridization

Genomic copy number aberrations (CNAs) in gastric cancer have already been extensively characterized by array comparative genomic hybridization (array CGH) analysis. However, involvement of genomic CNAs in the process of submucosal invasion and lymph node metastasis in early gastric cancer is still poorly understood. In this study, to address this issue, we collected a total of 59 tumor samples from 27 patients with submucosal-invasive gastric cancers (SMGC), analyzed their genomic profiles by array CGH, and compared them between paired samples of mucosal (MU) and submucosal (SM) invasion (23 pairs), and SM invasion and lymph node (LN) metastasis (9 pairs). Initially, we hypothesized that acquisition of specific CNA(s) is important for these processes. However, we observed no significant difference in the number of genomic CNAs between paired MU and SM, and between paired SM and LN. Furthermore, we were unable to find any CNAs specifically associated with SM invasion or LN metastasis. Among the 23 cases analyzed, 15 had some similar pattern of genomic profiling between SM and MU. Interestingly, 13 of the 15 cases also showed some differences in genomic profiles. These results suggest that the majority of SMGCs are composed of heterogeneous subpopulations derived from the same clonal origin. Comparison of genomic CNAs between SMGCs with and without LN metastasis revealed that gain of 11q13, 11q14, 11q22, 14q32 and amplification of 17q21 were more frequent in metastatic SMGCs, suggesting that these CNAs are related to LN metastasis of early gastric cancer. In conclusion, our data suggest that generation of genetically distinct subclones, rather than acquisition of specific CNA at MU, is integral to the process of submucosal invasion, and that subclones that acquire gain of 11q13, 11q14, 11q22, 14q32 or amplification of 17q21 are likely to become metastatic.     

Development of a DNA-labeling system for array-based comparative genomic hybridization.

Chromosomal amplifications and deletions are critical components of tumorigenesis and DNA copy-number variations also correlate with changes in mRNA expression levels. Genome-wide microarray comparative genomic hybridization (CGH) has become an important method for detecting and mapping chromosomal changes in tumors. Thus, the ability to detect twofold differences in fluorescent intensity between samples on microarrays depends on the generation of high-quality labeled probes. To enhance array-based CGH analysis, a random prime genomic DNA labeling method optimized for improved sensitivity, signal-to-noise ratios, and reproducibility has been developed. The labeling system comprises formulated random primers, nucleotide mixtures, and notably a high concentration of the double mutant exo-large fragment of DNA polymerase I (exo-Klenow). Microarray analyses indicate that the genomic DNA-labeled templates yield hybridization signals with higher fluorescent intensities and greater signal-to-noise ratios and detect more positive features than the standard random prime and conventional nick translation methods. Also, templates generated by this system have detected twofold differences in gene copy number between male and female genomic DNA and identified amplification and deletions from the BT474 breast cancer cell line in microarray hybridizations. Moreover, alterations in gene copy number were routinely detected with 0.5 microg of genomic DNA starting sample. The method is flexible and performs efficiently with different fluorescently labeled nucleotides. Application of the optimized CGH labeling system may enhance the resolution and sensitivity of array-based CGH analysis in cancer and medical genetic studies.     

Analysis of wilms tumors using SNP mapping array-based comparative genomic hybridization

Wilms tumor (WT) has been a model to study kidney embryogenesis and tumorigenesis and, although associated with hereditary, cancer predisposition syndromes, the majority of tumors occur sporadically. To analyze genetic changes in WT we have defined copy number changes and loss of heterozygosity in 56 Wilms tumors using high resolution oligonucleotide arrays at a average resolution of ~12 Kb. Consistent deletions were seen on chromosomes 1p, 4q, 7p, 9q, 11p, 11q, 14q, 16q, and 21q. High frequency gains were seen for 1q and lower frequency gains were seen on 7q and chromosomes 8, 12 and 18. The high resolution provided by the SNP mapping arrays has defined minimal regions of deletion for many of these LOH events. Analysis of CNAs by tumor stage show relatively stable karyotypes in stage 1 tumors and more complex aCGH profiles in tumors from stages 3-5.     

Genomic profiling of rectal adenoma and carcinoma by array-based comparative genomic hybridization

Background

Aortopathies are a group of disorders characterized by aneurysms, dilation, and tortuosity of the aorta. Because of the phenotypic overlap and genetic heterogeneity of diseases featuring aortopathy, molecular testing is often required for timely and correct diagnosis of affected individuals. In this setting next generation sequencing (NGS) offers several advantages over traditional molecular techniques.

Methods

The purpose of our study was to compare NGS enrichment methods for a clinical assay targeting the nine genes known to be associated with aortopathy. RainDance emulsion PCR and SureSelect RNA-bait hybridization capture enrichment methods were directly compared by enriching DNA from eight samples. Enriched samples were barcoded, pooled, and sequenced on the Illumina HiSeq2000 platform. Depth of coverage, consistency of coverage across samples, and the overlap of variants identified were assessed. This data was also compared to whole-exome sequencing data from ten individuals.

Results

Read depth was greater and less variable among samples that had been enriched using the RNA-bait hybridization capture enrichment method. In addition, samples enriched by hybridization capture had fewer exons with mean coverage less than 10, reducing the need for followup Sanger sequencing. Variants sets produced were 77% concordant, with both techniques yielding similar numbers of discordant variants.

Conclusions

When comparing the design flexibility, performance, and cost of the targeted enrichment methods to whole-exome sequencing, the RNA-bait hybridization capture enrichment gene panel offers the better solution for interrogating the aortopathy genes in a clinical laboratory setting.     

Copy number variants (CNVs) in primate species using array-based comparative genomic hybridization

A substantial amount of genomic variation is now known to exist in humans and other primate species. Single nucleotide polymorphisms (SNPs) are thought to represent the vast majority of genomic differences among individuals in a given primate species and comprise about 0.1% of the genomes of two humans. However, recent studies have now shown that structural variation msay account for as much as 0.7% of the genomic differences in humans, of which copy number variants (CNVs) are the largest component. CNVs are segments of DNA that can range in size from hundreds of bases to millions of base pairs in length and have different number of copies between individuals. Recent technological advancements in array technologies led to genome-wide identification of CNVs and consequently revealed thousands of variable loci in humans, comprising as much as 12% of the human genome [A.J. Iafrate, L. Feuk, M.N. Rivera, M.L. Listewnik, P.K. Donahoe, Y. Qi, S.W. Scherer, C. Lee, Nat. Genet. 36 (2004) 949–951, [3]]. CNVs in humans have already been associated with susceptibility to certain complex diseases, dietary adaptation, and several neurological conditions. In addition, recent studies have shown that CNVs can be successfully implemented in population genetics research, providing important insights into human genetic variation. Nevertheless, the important role of CNVs in primate evolution and genetic diversity is still largely unknown. This article aims to outline the strengths and weaknesses of current comparative genomic hybridization array technologies that have been employed to detect CNV variation and the applications of these techniques to primate genetic research.     

Structural unbalanced chromosome rearrangements resolved by comparative genomic hybridization.

The identification of unbalanced structural chromosome rearrangements using conventional cytogenetic techniques depends on recognition of the unknown material from its banding pattern. Even with optimally banded chromosomes, when large chromosome segments are involved, cytogeneticists may not always be able to determine the origin of extrachromosomal material and supernumerary chromosomes. We report here on the application of comparative genomic hybridization (CGH), a new molecular-cytogenetic assay capable of detecting chromosomal gains and losses, to six clinical samples suspected of harboring unbalanced structural chromosome abnormalities. CGH provided essential information on the nature of the unbalanced aberration investigated in five of the six samples. This approach has proved its ability to resolve complex karyotypes and to provide information when metaphase chromosomes are not available. In cases where metaphase chromosome spreads were available, confirmation of CGH results was easily obtained by fluorescence in situ hybridization (FISH) using specific probes. Thus the combined use of CGH and FISH provided an efficient method for resolving the origin of aberrant chromosomal material unidentified by conventional cytogenetic analysis.     

Congenital diaphragmatic hernia and chromosome 15q26: determination of a candidate region by use of fluorescent in situ hybridization and array-based comparative genomic hybridization

Congenital diaphragmatic hernia (CDH) has an incidence of 1 in 3,000 births and a high mortality rate (33%-58%). Multifactorial inheritance, teratogenic agents, and genetic abnormalities have all been suggested as possible etiologic factors. To define candidate regions for CDH, we analyzed cytogenetic data collected on 200 CDH cases, of which 7% and 5% showed numerical and structural abnormalities, respectively. This study focused on the most frequent structural anomaly found: a deletion on chromosome 15q. We analyzed material from three of our patients and from four previously published patients with CDH and a 15q deletion. By using array-based comparative genomic hybridization and fluorescent in situ hybridization to determine the boundaries of the deletions and by including data from two individuals with terminal 15q deletions but without CDH, we were able to exclude a substantial portion of the telomeric region from the genetic etiology of this disorder. Moreover, one patient with CDH harbored a small interstitial deletion. Together, these findings allowed us to define a minimal deletion region of approximately 5 Mb at chromosome 15q26.1-26.2. The region contains four known genes, of which two--NR2F2 and CHD2--are particularly intriguing gene candidates for CDH.     

Genome-wide examination of chromosomal aberrations in neuroblastoma SH-SY5Y cells by array-based comparative genomic hybridization

Most neuroblastoma cells have chromosomal aberrations such as gains, losses, amplifications and deletions of DNA. Conventional approaches like fluorescence in situ hybridization (FISH) or metaphase comparative genomic hybridization (CGH) can detect chromosomal aberrations, but their resolution is low. In this study we used array-based comparative genomic hybridization to identify the chromosomal aberrations in human neuroblastoma SH-SY5Y cells. The DNA microarray consisting of 4000 bacterial artificial chromosome (BAC) clones was able to detect chromosomal regions with aberrations. The SH-SY5Y cells showed chromosomal gains in 1q12 approximately q44 (Chr1:142188905-246084832), 7 (over the whole chromosome), 2p25.3 approximately p16.3 (Chr2:18179-47899074), and 17q 21.32 approximately q25.3 (Chr17:42153031-78607159), while chromosomal losses detected were the distal deletion of 1p36.33 (Chr1:552910-563807), 14q21.1 approximately q21.3 (Chr14:37666271- 47282550), and 22q13.1 approximately q13.2 (Chr22:36885764-4190 7123). Except for the gain in 17q21 and the loss in 1p36, the other regions of gain or loss in SH-SY5Y cells were newly identified.     

A simple method for enhancing hybridization efficiency in chromosome and array comparative genomic hybridization

Abstract

The accuracy of comparative genomic hybridization (CGH) analysis is affected by hybridization efficiency. We describe here a simple method for enhancing hybridization efficiency. The hybridization procedure is essentially the same as that of conventional methods. Hybridization solution containing denatured DNA probe mixture was applied to a metaphase chromosome slide or DNA chip slide and covered with a coverslip. In the new method, however, the slide was inverted by turning the coverslip downward prior to hybridization. We termed this method the inverted slide method. To estimate the efficiency of the new method, metaphase chromosome slides and DNA chip slides were treated by both the conventional and inverted slide methods and incubated in a moist chamber at 37°C for 12, 24, 48, and 72 h. Hybridization signals were approximately 1.5 to 2 times brighter on the slides using the inverted slide method than those using the conventional method after 48 and 72 h of incubation. Furthermore, topographical differences in fluorescence intensity were smaller in slides using the inverted-slide method than in those prepared by the conventional method. The inverted slide method is methodologically very simple and improves the resolution of CGH.     

From array to array: Confirmation of genomic gains and losses discovered by array-based comparative genomic hybridization utilizing fluorescence in situ hybridization on tissue microarrays

The combination of array-based comparative genomic hybridization (CGH) with fluorescence in situ hybridization utilizing custom-designed bacterial artificial chromosome (BAC) probes applied to tissue microarrays represents a powerful compendium of techniques–greatly enhancing the throughput of genomic analysis and subsequent target validation. Such approach can be automated at various levels and allows managing large volume of targets and samples in a few experiments. As such, this approach facilitates discovery, validation and implementation of findings in the process of identification of new diagnostic, prognostic and potentially therapeutic molecular markers.     

Clinical application of array-based comparative genomic hybridization for the identification of prognostically important genetic alterations in chronic lymphocytic leukemia

Genomic aberrations have increasingly gained attention as prognostic markers in B-cell chronic lymphocytic leukemia (CLL). Fluorescence in situ hybridization (FISH) has improved the detection rate of genomic alterations in CLL from approximately 50% using conventional cytogenetics to greater than 80%. More recently, array comparative genomic hybridization (CGH) has gained popularity as a clinical tool that can be applied to detect genomic gains and losses of prognostic importance in CLL. Array CGH and FISH are particularly useful in CLL because genomic gains and losses are key events with both biologic and prognostic significance, while balanced translocations have limited prognostic value. Although FISH has a higher technical sensitivity, it requires separate, targeted hybridizations for the detection of alterations at genomic loci of interest. Array CGH, on the other hand, has the ability to provide a genome-wide survey of genomic aberrations with a single hybridization reaction. Array CGH is expanding the known genomic regions of importance in CLL and allows these regions to be evaluated in the context of a genome-wide perspective. Ongoing clinical trials are evaluating the use of genomic aberrations as tools for risk-stratifying patients for therapy, thus increasing the need for reliable and high-yield methods to detect these genomic changes. In this review, we consider the use of array CGH as a clinical tool for the identification of genomic alterations with prognostic significance in CLL, and suggest ways to integrate this test into the clinical molecular diagnostic laboratory work flow.     

Effects of chromosomal variations on pharmacokinetic activity of zolpidem in healthy volunteers: an array-based comparative genomic hybridization study

Zolpidem has been known as a very safe and effective hypnotic drug used to treat a variety of patients with insomnia. Even though the same dose of the medicine is administered to each patient, the blood level of zolpidem and the time required to obtain peak concentration are not consistent among different people. We evaluated the relationship between the peak concentrations of zolpidem and chromosomal imbalances using a high-resolution genome-wide array-based comparative genomic hybridization (CGH) in 16 healthy volunteers in order to detect the genetic factors underlying the variations. The present study showed that chromosomal losses were detected in the 4q35.2, 9p13.1 and 9p12 regions, and those gains were indicated in the 2p14, 11q13.4 and 15q11.2 regions. The abnormal regions were confirmed by fluorescence in situ hybridization (FISH) and real-time PCR. It is suggested that array-CGH analysis may be used as a measure for pharmacogenomic applications in the patients with insomnia and for further exploration of candidate genomic regions implicated in sleep disturbances.     

Current status and future prospects of array-based comparative genomic hybridisation.

The majority of human cancers as well as many developmental abnormalities harbour chromosomal imbalances, many of which result in the gain and/or loss of genomic material. Conventional comparative genomic hybridisation (CGH) has been used extensively to map DNA copy number changes to chromosomal positions. The introduction of microarray CGH provided a powerful tool to precisely detect and quantify genomic aberrations and map these directly onto the sequence of the human genome. In the past several years, a number of different approaches towards array-based CGH have been undertaken. This paper reviews these approaches and presents some of the recently-developed applications of this new technology in both research and clinical settings.     

Leptospire genomic diversity revealed by microarray-based comparative genomic hybridization

Comparative genomic hybridization was used to compare genetic diversity of five strains of Leptospira (Leptospira interrogans serovars Bratislava, Canicola, and Hebdomadis and Leptospira kirschneri serovars Cynopteri and Grippotyphosa). The array was designed based on two available sequenced Leptospira reference genomes, those of L. interrogans serovar Copenhageni and L. interrogans serovar Lai. A comparison of genetic contents showed that L. interrogans serovar Bratislava was closest to the reference genomes while L. kirschneri serovar Grippotyphosa had the least similarity to the reference genomes. Cluster analysis indicated that L. interrogans serovars Bratislava and Hebdomadis clustered together first, followed by L. interrogans serovar Canicola, before the two L. kirschneri strains. Confirmed/potential virulence factors identified in previous research were also detected in the tested strains.     

Detection of complete and partial chromosome gains and losses by comparative genomic in situ hybridization

Comparative genomic in situ hybridization (CGH) provides a new possibility for searching genomes for imbalanced genetic material. Labeled genomic test DNA, prepared from clinical or tumor specimens, is mixed with differently labeled control DNA prepared from cells with normal chromosome complements. The mixed probe is used for chromosomal in situ suppression (CISS) hybridization to normal metaphase spreads (CGH-metaphase spreads). Hybridized test and control DNA sequences are detected via different fluorochromes, e.g., fluorescein isothiocyanate (FITC) and tetraethylrhodamine isothiocyanate (TRITC). The ratios of FITC/TRITC fluorescence intensities for each chromosome or chromosome segment should then reflect its relative copy number in the test genome compared with the control genome, e.g., 0.5 for monosomies, 1 for disomies, 1.5 for trisomies, etc. Initially, model experiments were designed to test the accuracy of fluorescence ratio measurements on single chromosomes. DNAs from up to five human chromosome-specific plasmid libraries were labeled with biotin and digoxigenin in different hapten proportions. Probe mixtures were used for CISS hybridization to normal human metaphase spreads and detected with FITC and TRITC. An epifluorescence microscope equipped with a cooled charge coupled device (CCD) camera was used for image acquisition. Procedures for fluorescence ratio measurements were developed on the basis of commercial image analysis software. For hapten ratios 4/1, 1/1 and 1/4, fluorescence ratio values measured for individual chromosomes could be used as a single reliable parameter for chromosome identification. Our findings indicate (1) a tight correlation of fluorescence ratio values with hapten ratios, and (2) the potential of fluorescence ratio measurements for multiple color chromosome painting. Subsequently, genomic test DNAs, prepared from a patient with Down syndrome, from blood of a patient with Tcell prolymphocytic leukemia, and from cultured cells of a renal papillary carcinoma cell line, were applied in CGH experiments. As expected, significant differences in the fluorescence ratios could be measured for chromosome types present in different copy numbers in these test genomes, including a trisomy of chromosome 21, the smallest autosome of the human complement. In addition, chromosome material involved in partial gains and losses of the different tumors could be mapped to their normal chromosome counterparts in CGH-metaphase spreads. An alternative and simpler evaluation procedure based on visual inspection of CCD images of CGH-metaphase spreads also yielded consistent results from several independent observers. Pitfalls, methodological improvements, and potential applications of CGH analyses are discussed.     

Genetic diversity of toxigenic and nontoxigenic Vibrio cholerae serogroups O1 and O139 revealed by array-based comparative genomic hybridization

Toxigenic serogroups O1 and O139 of Vibrio cholerae may cause cholera epidemics or pandemics. Nontoxigenic strains within these serogroups also exist in the environment, and also some may cause sporadic cases of disease. Herein, we investigate the genomic diversity among toxigenic and nontoxigenic O1 and O139 strains by comparative genomic microarray hybridization with the genome of El Tor strain N16961 as a base. Conservation of the toxigenic O1 El Tor and O139 strains is found as previously reported, whereas accumulation of genome changes was documented in toxigenic El Tor strains isolated within the 40 years of the seventh pandemic. High phylogenetic diversity in nontoxigenic O1 and O139 strains is observed, and most of the genes absent from nontoxigenic strains are clustered together in the N16961 genome. By comparing these toxigenic and nontoxigenic strains, we observed that the small chromosome of V. cholerae is quite conservative and stable, outside of the superintegron region. In contrast to the general stability of the genome, the superintegron demonstrates pronounced divergence among toxigenic and nontoxigenic strains. Additionally, sequence variation in virulence-related genes is found in nontoxigenic El Tor strains, and we speculate that these intermediate strains may have pathogenic potential should they acquire CTX prophage alleles and other gene clusters. This genome-wide comparison of toxigenic and nontoxigenic V. cholerae strains may promote understanding of clonal differentiation of V. cholerae and contribute to an understanding of the origins and clonal selection of epidemic strains.     

Construction and application of a full-coverage, high-resolution, human chromosome 8q genomic microarray for comparative genomic hybridization.

BACKGROUND: Array-based comparative genomic hybridization (aCGH) enables genome-wide quantitative delineation of genomic imbalances. A high-resolution contig array was developed specifically for chromosome 8q because this chromosome arm is frequently altered in many human cancers. METHODS: A minimal tiling path contig of 702 8q-specific bacterial artificial chromosome (BAC) clones was generated with a novel computational tool (BAC Contig Assembler). BAC clones were amplified by degenerative oligonucleotide primer (DOP) polymerase chain reaction and subsequently printed onto glass slides. For validation of the array DNA samples of gastroesophageal and prostate cancer cell lines, and chronic myeloid leukemia specimens were used, which were previously characterized by multicolor fluorescence in situ hybridization and conventional CGH. RESULTS: Single and double copy gains were confidently demonstrated with the 8q array. Single copy loss and high-level amplifications were accurately detected and confirmed by bicolor fluorescence in situ hybridization experiments. The 8q array was further tested with paraffin-embedded prostate cancer specimens. In these archival specimens, the copy number changes were confirmed. In fresh and archival samples, additional alterations were disclosed. In comparison with conventional CGH, the resolution of the detected changes was much improved, which was demonstrated by an amplicon of 0.7 Mb and a deletion of 0.6 Mb, both spanned by only six BAC clones. CONCLUSIONS: A comprehensive array is presented, which provides a high-resolution method for mapping copy number alterations on chromosome 8q.