Comparative genomic hybridization as a new method for detection of genomic imbalance

Comparative Genomic Hybridization (CGH) is a molecular cytogenetic analysis that allows identification of genomic changes by comparing the copy number of DNA sequences in cells of tested tissue and the reference specimen. CGH is based on competitive suppressive in situ hybridization of two differently labeled DNA probes (tested and reference, karyotypically normal, fluorochrome-labeled DNAs) with metaphase chromosomes of a healthy subject. First described by Kallioniemi et al. in 1992, the CGH assay has been widely used for identification and characterization of both numerical and structural chromosome abnormalities in cells of different tissues at various pathological conditions in humans, especially in tumor diseases. We discuss the specific features and quality control of comparative genomic hybridization, its advantages and limitations in detection of genomic imbalance and the prospects for development of this technology.     

Survey of Genomic Diversity among Enterococcus faecalis Strains by Microarray-Based Comparative Genomic Hybridization

We have compared nine Enterococcus faecalis strains with E. faecalis V583 by comparative genomic hybridization using microarrays (CGH). The strains used in this study (the “test” strains) originated from various environments. CGH is a powerful and promising tool for obtaining novel information on genome diversity in bacteria. By CGH, one obtains clues about which genes are present or divergent in the strains, compared to a reference strain (here, V583). The information obtained by CGH is important from both ecological and systematic points of view. CGH of E. faecalis showed considerable diversity in gene content: Compared to V583, the percentage of divergent genes in the test strains varied from 15% to 23%, and 154 genes were divergent in all strains. The main variation was found in regions corresponding to exogenously acquired or mobile DNA in V583. Antibiotic resistance genes, virulence factors, and integrated plasmid genes dominated among the divergent genes. The strains examined showed various contents of genes corresponding to the pTEF1, pTEF2, and pTEF3 genes in V583. The extensive transport and metabolic capabilities of V583 appeared similar in the test strains; CGH indicated that the ability to transport and metabolize various carbohydrates was similar in the test strains (verified by API 50 CH assays). The contents of genes related to stress tolerance appeared similar in V583 and the nine test strains, supporting the view of E. faecalis as an organism able to resist harsh conditions.     

Genomic profiling by DNA amplification of laser capture microdissected tissues and array CGH

Comparative genomic hybridization by means of BAC microarrays (array CGH) allows high-resolution profiling of copy-number aberrations in tumor DNA. However, specific genetic lesions associated with small but clinically relevant tumor areas may pass undetected due to intra-tumor heterogeneity and/or the presence of contaminating normal cells. Here, we show that the combination of laser capture microdissection, 29 DNA polymerase-mediated isothermal genomic DNA amplification, and array CGH allows genomic profiling of very limited numbers of cells. Moreover, by means of simple statistical models, we were able to bypass the exclusion of amplification distortions and variability prone areas, and to detect tumor-specific chromosomal gains and losses. We applied this new combined experimental and analytical approach to the genomic profiling of colorectal adenomatous polyps and demonstrated our ability to accurately detect single copy gains and losses affecting either whole chromosomes or small genomic regions from as little as 2 ng of DNA or 1000 microdissected cells.     

Analysis of the genome content of <Emphasis Type="Italic">Lactococcus garvieae</Emphasis> by genomic interspecies microarray hybridization

Background  

Lactococcus garvieae is a bacterial pathogen that affects different animal species in addition to humans. Despite the widespread distribution and emerging clinical significance of L. garvieae in both veterinary and human medicine, there is almost a complete lack of knowledge about the genetic content of this microorganism. In the present study, the genomic content of L. garvieae CECT 4531 was analysed using bioinformatics tools and microarray-based comparative genomic hybridization (CGH) experiments. Lactococcus lactis subsp. lactis IL1403 and Streptococcus pneumoniae TIGR4 were used as reference microorganisms.     

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Array CGH for the detection of genomic copy number variants has replaced G-banded karyotype analysis. This paper describes the technology and its application in a clinical diagnostic service laboratory. DNA extracted from a patient’s sample (blood, saliva or other tissue types) is labeled with a fluorochrome (either cyanine 5 or cyanine 3). A reference DNA sample is labeled with the opposite fluorochrome. There follows a cleanup step to remove unincorporated nucleotides before the labeled DNAs are mixed and resuspended in a hybridization buffer and applied to an array comprising ~60,000 oligonucleotide probes from loci across the genome, with high probe density in clinically important areas. Following hybridization, the arrays are washed, then scanned and the resulting images are analyzed to measure the red and green fluorescence for each probe. Software is used to assess the quality of each probe measurement, calculate the ratio of red to green fluorescence and detect potential copy number variants.     

Genomic characterization of some Iranian children with idiopathic mental retardation using array comparative genomic hybridization

BACKGROUND:

Mental retardation (MR) has a prevalence of 1-3% and genetic causes are present in more than 50% of patients. Chromosomal abnormalities are one of the most common genetic causes of MR and are responsible for 4-28% of mental retardation. However, the smallest loss or gain of material visible by standard cytogenetic is about 4 Mb and for smaller abnormalities, molecular cytogenetic techniques such as array comparative genomic hybridization (array CGH) should be used. It has been shown that 15-25% of idiopathic MR (IMR) has submicroscopic rearrangements detectable by array CGH. In this project, the genomic abnormalities were investigated in 32 MR patients using this technique.

MATERIALS AND METHODS:

Patients with IMR with dysmorphism were investigated in this study. Karyotype analysis, fragile X and metabolic tests were first carried out on the patients. The copy number variation was then assessed in a total of 32 patients with normal results for the mentioned tests using whole genome oligo array CGH. Multiple ligation probe amplification was carried out as a confirmation test.

RESULTS:

In total, 19% of the patients showed genomic abnormalities. This is reduced to 12.5% once the two patients with abnormal karyotypes (upon re-evaluation) are removed.

CONCLUSION:

The array CGH technique increased the detection rate of genomic imbalances in our patients by 12.5%. It is an accurate and reliable method for the determination of genomic imbalances in patients with IMR and dysmorphism.     

Detection of Aneuploidy in Spontaneous Abortions Using Comparative Genomic Hybridization

Comparative genomic hybridization (CGH) technique was used to examine a set of ten spontaneous abortions whose cell cultures were characterized by the lack of proliferation in vitro, and thereby, were not available for the analysis by means of routine cytogenetic methods. Five abortions (50%) had aneuploidy of autosomes, including trisomy 10, 14, 18, and 21, and monosomy 22. The latter variant of unbalanced chromosomal abnormalities is rarely detected in spontaneous abortions by use of conventional cytogenetic methods. The results were validated by using fluorescent in situ hybridization (FISH) analysis with centromere-specific DNA probes. Embryos with trisomy 10 and monosomy 22 displayed mosaicism with the frequencies of abnormal cell clones constituting 68 and 33% respectively. The advantages and limitations of the applying of CGH technique for detection of genomic abnormalities in both nonmosaic and mosaic forms are discussed.     

Genomic diversity of Lactobacillus salivarius

Strains of Lactobacillus salivarius are increasingly employed as probiotic agents for humans or animals. Despite the diversity of environmental sources from which they have been isolated, the genomic diversity of L. salivarius has been poorly characterized, and the implications of this diversity for strain selection have not been examined. To tackle this, we applied comparative genomic hybridization (CGH) and multilocus sequence typing (MLST) to 33 strains derived from humans, animals, or food. The CGH, based on total genome content, including small plasmids, identified 18 major regions of genomic variation, or hot spots for variation. Three major divisions were thus identified, with only a subset of the human isolates constituting an ecologically discernible group. Omission of the small plasmids from the CGH or analysis by MLST provided broadly concordant fine divisions and separated human-derived and animal-derived strains more clearly. The two gene clusters for exopolysaccharide (EPS) biosynthesis corresponded to regions of significant genomic diversity. The CGH-based groupings of these regions did not correlate with levels of production of bound or released EPS. Furthermore, EPS production was significantly modulated by available carbohydrate. In addition to proving difficult to predict from the gene content, EPS production levels correlated inversely with production of biofilms, a trait considered desirable in probiotic commensals. L. salivarius displays a high level of genomic diversity, and while selection of L. salivarius strains for probiotic use can be informed by CGH or MLST, it also requires pragmatic experimental validation of desired phenotypic traits.     

DNA Copy Number Aberrations in Breast Cancer by Array Comparative Genomic Hybridization

Array comparative genomic hybridization (CGH) has been popularly used for an-alyzing DNA copy number variations in diseases like cancer. In this study, we investigated 82 sporadic samples from 49 breast cancer patients using 1-Mb reso-lution bacterial artificial chromosome CGH arrays. A number of highly frequent genomic aberrations were discovered, which may act as "drivers" of tumor pro-gression. Meanwhile, the genomic profiles of four "normal" breast tissue samples taken at least 2 cm away from the primary tumor sites were also found to have some genomic aberrations that recurred with high frequency in the primary tu-mors, which may have important implications for clinical therapy. Additionally, we performed class comparison and class prediction for various clinicopathological pa-rameters, and a list of characteristic genomic aberrations associated with different clinicopathological phenotypes was compiled. Our study provides clues for further investigations of the underlying mechanisms of breast carcinogenesis.     

Cytogenetic analysis from DNA by comparative genomic hybridization

Comparative genomic hybridization (CGH) is a modified in situ hybridization technique which allows detection and mapping of DNA sequence copy differences between two genomes in a single experiment. In CGH analysis, two differentially labelled genomic DNA (study and reference) are co-hybridized to normal metaphase spreads. Chromosomal locations of copy number changes in the DNA segments of the study genome are revealed by a variable fluorescence intensity ratio along each target chromosome. Since its development, CGH has been applied mostly as a research tool in the field of cancer cytogenetics to identify genetic changes in many previously unknown regions. CGH may also have a role in clinical cytogenetics for detection and identification of unbalanced chromosomal abnormalities.     

Reference-unbiased copy number variant analysis using CGH microarrays

Comparative genomic hybridization (CGH) microarrays have been used to determine copy number variations (CNVs) and their effects on complex diseases. Detection of absolute CNVs independent of genomic variants of an arbitrary reference sample has been a critical issue in CGH array experiments. Whole genome analysis using massively parallel sequencing with multiple ultra-high resolution CGH arrays provides an opportunity to catalog highly accurate genomic variants of the reference DNA (NA10851). Using information on variants, we developed a new method, the CGH array reference-free algorithm (CARA), which can determine reference-unbiased absolute CNVs from any CGH array platform. The algorithm enables the removal and rescue of false positive and false negative CNVs, respectively, which appear due to the effects of genomic variants of the reference sample in raw CGH array experiments. We found that the CARA remarkably enhanced the accuracy of CGH array in determining absolute CNVs. Our method thus provides a new approach to interpret CGH array data for personalized medicine.     

A stepwise framework for the normalization of array CGH data

Background  

In two-channel competitive genomic hybridization microarray experiments, the ratio of the two fluorescent signal intensities at each spot on the microarray is commonly used to infer the relative amounts of the test and reference sample DNA levels. This ratio may be influenced by systematic measurement effects from non-biological sources that can introduce biases in the estimated ratios. These biases should be removed before drawing conclusions about the relative levels of DNA. The performance of existing gene expression microarray normalization strategies has not been evaluated for removing systematic biases encountered in array-based comparative genomic hybridization (CGH), which aims to detect single copy gains and losses typically in samples with heterogeneous cell populations resulting in only slight shifts in signal ratios. The purpose of this work is to establish a framework for correcting the systematic sources of variation in high density CGH array images, while maintaining the true biological variations.     

Genomic DNA extraction methods using formalin-fixed paraffin-embedded tissue

As new technologies come within reach for the average cytogenetic laboratory, the study of chromosome structure has become increasingly more sophisticated. Resolution has improved from karyotyping (in which whole chromosomes are discernible) to fluorescence in situ hybridization and comparative genomic hybridization (CGH, with which specific megabase regions are visualized), array-based CGH (aCGH, examining hundreds of base pairs), and next-generation sequencing (providing single base pair resolution). Whole genome next-generation sequencing remains a cost-prohibitive method for many investigators. Meanwhile, the cost of aCGH has been reduced during recent years, even as resolution has increased and protocols have simplified. However, aCGH presents its own set of unique challenges. DNA of sufficient quantity and quality to hybridize to arrays and provide meaningful results is required. This is especially difficult for DNA from formalin-fixed paraffin-embedded (FFPE) tissues. Here, we compare three different methods for acquiring DNA of sufficient length, purity, and “amplifiability” for aCGH and other downstream applications. Phenol–chloroform extraction and column-based commercial kits were compared with adaptive focused acoustics (AFA). Of the three extraction methods, AFA samples showed increased amplicon length and decreased polymerase chain reaction (PCR) failure rate. These findings support AFA as an improvement over previous DNA extraction methods for FFPE tissues.     

基因组原位杂交技术及其在园艺植物基因组研究中的应用

基因组原位杂交(GISH)技术可以鉴定植物多倍体物种起源、杂种亲本染色体来源和组成,分析栽培种与其近缘野生种的亲缘关系,研究减数分裂染色体行为等。基因组原位杂交包括多色基因组原位杂交、比较基因组原位杂交和自身基因组原位杂交等。基因组原位杂交技术的关键步骤是染色体制片、探针制备及长度优化、探针与封阻的浓度比例和杂交后洗脱强度。该文对近年来国内外有关基因组原位杂交技术的发展及其在园艺植物基因组研究中的应用现状进行了综述,并指出随着多种园艺植物全基因组的测定,未来应从基因组信息中寻找更多的染色体特异性标记,结合荧光显带及荧光原位杂交技术,为深入研究园艺植物的起源以及遗传关系鉴定等提供技术支持。     

Single-cell isolation from cell suspensions and whole genome amplification from single cells to provide templates for CGH analysis

A comprehensive genomic analysis of single cells is instrumental for numerous applications in tumor genetics, clinical diagnostics and forensic analyses. Here, we provide a protocol for single-cell isolation and whole genome amplification, which includes the following stages: preparation of single-cell suspensions from blood or bone marrow samples and cancer cell lines; their characterization on the basis of morphology, interphase fluorescent in situ hybridization pattern and antibody staining; isolation of single cells by either laser microdissection or micromanipulation; and unbiased amplification of single-cell genomes by either linker-adaptor PCR or GenomePlex library technology. This protocol provides a suitable template to screen for chromosomal copy number changes by conventional comparative genomic hybridization (CGH) or array CGH. Expected results include the generation of several micrograms of DNA from single cells, which can be used for CGH or other analyses, such as sequencing. Using linker-adaptor PCR or GenomePlex library technology, the protocol takes 72 or 30 h, respectively.     

Screening for self-renewal factors by a combination of mRNA and CGH microarray in human embryonic stem cells

Human embryonic stem cells (hESCs) undergo self-renewal while maintaining pluripotency. However, the molecular mechanism that demonstrates how these cells maintain their undifferentiated state and how they selfrenew is poorly understood. Here, we characterized an aneuploidy H1 hESC subline (named H1T) using karyotyping and comparative genomic hybridization (CGH) microarray. Because the H1T hESC line displays a self-renewal advantage while maintaining an undifferentiated state, we speculated that the expression patterns of specific genes which are related to pluripotency or differentiation were altered; therefore, we attempted to screen for molecules that are propitious for maintenance of stemness by performing a combination of mRNA and CGH microarray analysis which compared the aneuploidy H1T hESC subline versus the euploid H1 hESC line. It is discovered that some genes are up-regulated in H1T hESC subline such as TBX2 and Wnt3, while some are downregulated, for example, Fbxo7 and HMG2L1. Our findings should fascilitate the study of the complex signaling network which maintains hESC pluripotency and function.     

A New Retroposed Gene in <Emphasis Type="Italic">Drosophila</Emphasis> Heterochromatin Detected by Microarray-Based Comparative Genomic Hybridization

A genomic pattern of new gene origination is often dependent on a genomic method that can efficiently identify a statistically adequate number of recently originated genes. The heterochromatic regions have often been viewed as genomic deserts with low coding potential and thus a low flux of new genes. However, increasing reports revealed unexpected roles of heterochromatic regions in the evolution of genes and genomes. We identified recently retroposed genes that originated in heterochromatic regions in Drosophila, by developing microarray-based comparative genomic hybridization (CGH) with multiple species. This new gene family, named Ifc-2h, originated in the common ancestor of the clade of D. simulans, D. mauritiana, and D. sechellia. The sequence features and phylogenetic distribution indicated that Ifc-2h resulted from the retroposition from its parental gene, Infertile crescent (Ifc), and integrated into heterochromatic region of common ancester of the three sibling species 2 million years ago. Expression analysis revealed that Ifc-2h had developed a new expression pattern by recruiting a putative regulatory element from its target sequence. The distribution of indel variation in Ifc-2h of D. simulans and D. mauritiana revealed a significant sequence constraint, suggesting that the Ifc-2h gene may be functional. These analyses cast fresh insight into the evolution of heterochromatin and the origin of its coding regions. Electronic Supplementary Material Electronic Supplementary material is available for this article at and accessible for authorised users. [Reviewing Editor: Dr. Martin Kreitman]     

Estimation of tumor heterogeneity using CGH array data

Background  

Array-based comparative genomic hybridization (CGH) is a commonly-used approach to detect DNA copy number variation in whole genome-wide screens. Several statistical methods have been proposed to define genomic segments with different copy numbers in cancer tumors. However, most tumors are heterogeneous and show variation in DNA copy numbers across tumor cells. The challenge is to reveal the copy number profiles of the subpopulations in a tumor and to estimate the percentage of each subpopulation.     

Identification of Genomic Species in Agrobacterium Biovar 1 by AFLP Genomic Markers

Biovar 1 of the genus Agrobacterium consists of at least nine genomic species that have not yet received accepted species names. However, rapid identification of these organisms in various biotopes is needed to elucidate crown gall epidemiology, as well as Agrobacterium ecology. For this purpose, the AFLP methodology provides rapid and unambiguous determination of the genomic species status of agrobacteria, as confirmed by additional DNA-DNA hybridizations. The AFLP method has been proven to be reliable and to eliminate the need for DNA-DNA hybridization. In addition, AFLP fragments common to all members of the three major genomic species of agrobacteria, genomic species G1 (reference strain, strain TT111), G4 (reference strain, strain B6, the type strain of Agrobacterium tumefaciens), and G8 (reference strain, strain C58), have been identified, and these fragments facilitate analysis and show the applicability of the method. The maximal infraspecies current genome mispairing (CGM) value found for the biovar 1 taxon is 10.8%, while the smallest CGM value found for pairs of genomic species is 15.2%. This emphasizes the gap in the distribution of genome divergence values upon which the genomic species definition is based. The three main genomic species of agrobacteria in biovar 1 displayed high infraspecies current genome mispairing values (9 to 9.7%). The common fragments of a genomic species are thus likely “species-specific” markers tagging the core genomes of the species.