Solving the puzzle: case examples of array comparative genomic hybridization as a tool to end the diagnostic odyssey

We review 3 cases where array comparative genomic hybridization made a difference in the medical management of the patient, ended the diagnostic odyssey, predicted prognosis for the patient, and/or provided closure to the family. Comparative genomic hybridization is a useful tool for testing individuals with clinical examinations suggestive of a genetic syndrome but in which a specific syndrome may be difficult to pinpoint. The cost is similar to that of a standard karyotype but there is a higher yield in children and adults with clinical signs of a genetic syndrome.

Microarray-based comparative genomic hybridization of cancer targets reveals novel, recurrent genetic aberrations in the myelodysplastic syndromes

The myelodysplastic syndromes (MDS) are a heterogeneous group of clonal disorders characterized by ineffective hematopoiesis, cytopenias, and a risk of transformation to acute myeloid leukemia (AML). However, only approximately 50% of primary MDS patients show clonal cytogenetic aberrations. To determine whether high-resolution microarray analysis would reveal new or additional aberrations, we analyzed 35 samples derived from patients with a diagnosis or suspicion of MDS and abnormal karyotypes. We used a whole-genome oligonucleotide microarray with targeted coverage of approximately 1900 genes associated with hematologic and other cancers. Clinically relevant copy number aberrations (CNAs) were identified by microarray-based comparative genomic hybridization (aCGH) in all samples (range 1-31, median 5). In 28 of 35 samples (80%), aCGH revealed new cytogenetic aberrations not seen by karyotype or fluorescence in situ hybridization (FISH). Furthermore, 132 cryptic aberrations (≤5 Mb) were identified in 25 cases (71.4%) including deletions of NF1, RUNX1, RASSF1, CCND1, TET2, DNMT3A, HRAS, PDGFRA and FIP1L1. Additionally, aCGH clarified known complex aberrations in 17 of 35 samples (48.6%). Finally, our results using whole-genome arrays with higher density coverage targeted to cancer features demonstrate the usefulness of arrays to identify rare and cryptic recurring imbalances that may prove to be significant in disease progression or transformation to AML and may improve the suitability or efficacy of molecularly targeted therapy.

GSVD comparison of patient-matched normal and tumor aCGH profiles reveals global copy-number alterations predicting glioblastoma multiforme survival

Despite recent large-scale profiling efforts, the best prognostic predictor of glioblastoma multiforme (GBM) remains the patient's age at diagnosis. We describe a global pattern of tumor-exclusive co-occurring copy-number alterations (CNAs) that is correlated, possibly coordinated with GBM patients' survival and response to chemotherapy. The pattern is revealed by GSVD comparison of patient-matched but probe-independent GBM and normal aCGH datasets from The Cancer Genome Atlas (TCGA). We find that, first, the GSVD, formulated as a framework for comparatively modeling two composite datasets, removes from the pattern copy-number variations (CNVs) that occur in the normal human genome (e.g., female-specific X chromosome amplification) and experimental variations (e.g., in tissue batch, genomic center, hybridization date and scanner), without a-priori knowledge of these variations. Second, the pattern includes most known GBM-associated changes in chromosome numbers and focal CNAs, as well as several previously unreported CNAs in >3% of the patients. These include the biochemically putative drug target, cell cycle-regulated serine/threonine kinase-encoding TLK2, the cyclin E1-encoding CCNE1, and the Rb-binding histone demethylase-encoding KDM5A. Third, the pattern provides a better prognostic predictor than the chromosome numbers or any one focal CNA that it identifies, suggesting that the GBM survival phenotype is an outcome of its global genotype. The pattern is independent of age, and combined with age, makes a better predictor than age alone. GSVD comparison of matched profiles of a larger set of TCGA patients, inclusive of the initial set, confirms the global pattern. GSVD classification of the GBM profiles of an independent set of patients validates the prognostic contribution of the pattern.

Parsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thaliana

Array-based comparative genomic hybridization (Array-CGH) is an important technology in molecular biology for the detection of DNA copy number polymorphisms between closely related genomes. Hidden Markov Models (HMMs) are popular tools for the analysis of Array-CGH data, but current methods are only based on first-order HMMs having constrained abilities to model spatial dependencies between measurements of closely adjacent chromosomal regions. Here, we develop parsimonious higher-order HMMs enabling the interpolation between a mixture model ignoring spatial dependencies and a higher-order HMM exhaustively modeling spatial dependencies. We apply parsimonious higher-order HMMs to the analysis of Array-CGH data of the accessions C24 and Col-0 of the model plant Arabidopsis thaliana. We compare these models against first-order HMMs and other existing methods using a reference of known deletions and sequence deviations. We find that parsimonious higher-order HMMs clearly improve the identification of these polymorphisms. Moreover, we perform a functional analysis of identified polymorphisms revealing novel details of genomic differences between C24 and Col-0. Additional model evaluations are done on widely considered Array-CGH data of human cell lines indicating that parsimonious HMMs are also well-suited for the analysis of non-plant specific data. All these results indicate that parsimonious higher-order HMMs are useful for Array-CGH analyses. An implementation of parsimonious higher-order HMMs is available as part of the open source Java library Jstacs (www.jstacs.de/index.php/PHHMM).

Array-based comparative genomics is a standard approach for the identification of DNA copy number polymorphisms between closely related genomes. The huge amounts of data produced by these experiments require efficient and accurate bioinformatics tools for the identification of copy number polymorphisms. Hidden Markov Models (HMMs) are frequently used for analyzing such data sets, but current models are based on first-order HMMs only having limited capabilities to model spatial dependencies between measurements of closely adjacent chromosomal regions. We develop parsimonious higher-order HMMs enabling the interpolation between a mixture model ignoring spatial dependencies and a higher-order HMM exhaustively modeling these dependencies to overcome this limitation. In an in-depth case study with Arabidopsis thaliana, we find that parsimonious higher-order HMMs clearly improve the identification of copy number polymorphisms in comparison to standard first-order HMMs and other frequently used methods. Functional analysis of identified polymorphisms revealed details of genomic differences between the accessions C24 and Col-0 of Arabidopsis thaliana. An additional study on human cell lines further indicates that parsimonious HMMs are well-suited for the analysis of Array-CGH data.

Genome-wide high-resolution aCGH analysis of gestational choriocarcinomas

Eleven samples of DNA from choriocarcinomas were studied by high resolution CGH-array 244 K. They were studied after histopathological confirmation of the diagnosis, of the androgenic etiology and after a microsatellite marker analysis confirming the absence of contamination of tumor DNA from maternal DNA. Three cell lines, BeWo, JAR, JEG were also studied by this high resolution pangenomic technique. According to aCGH analysis, the de novo choriocarcinomas exhibited simple chromosomal rearrangements or normal profiles. The cell lines showed various and complex chromosomal aberrations. 23 Minimal Critical Regions were defined that allowed us to list the genes that were potentially implicated. Among them, unusually high numbers of microRNA clusters and imprinted genes were observed.

Comparative study of differential gene expression in closely related bacterial species by comparative hybridization

The ability to profile bacterial gene expression has markedly advanced the capacity to understand the molecular mechanisms of pathogenesis, epidemiology, and therapeutics. This advance has been coupled with the development of techniques that enable investigators to identify bacterial specifically expressed genes and promise to open new avenues of functional genomics by allowing researchers to focus on the identified differentially expressed genes. During the past two decades, a number of approaches have been developed to investigate bacterial genes differentially expressed in response to the changing environment, particularly during interaction with their hosts. The most commonly used techniques include in vivo expression technology, signature-tagged mutagenesis, differential fluorescence induction, and cDNA microarrays, which fall into two broad classes: mutagenesis-based technologies and hybridization-based technologies. Selective capture of transcribed sequences, a recently emerging method, is a hybridization-based technique. This technique is powerful in analyzing differential gene expression of the bacteria, with the superb ability to investigate the bacterial species with unknown genomic information. Herein, we describe the application of this technique in a comparative study of the gene expression between two closely related bacteria induced or repressed under a variety of conditions.

High-resolution copy number profiling by array CGH using DNA isolated from formalin-fixed, paraffin-embedded tissues

We describe protocols to acquire high-quality DNA from formalin-fixed, paraffin-embedded (FFPE) tissues for the use in array comparative genome hybridization (CGH). Formalin fixation combined with paraffin embedding is routine procedure for solid malignancies in the diagnostic practice of the pathologist. As a consequence, large archives of FFPE tissues are available in pathology institutes across the globe. This archival material is for many research questions an invaluable resource, with long-term clinical follow-up and survival data available. FFPE is, thus, highly attractive for large genomics studies, including experiments requiring samples for test/learning and validation. Most larger array CGH studies have, therefore, made use of FFPE material and show that CNAs have tumor- and tissue-specific traits (Chin et al. Cancer Cell 10: 529-541, 2006; Fridlyand et al. BMC Cancer 6: 96, 2006; Weiss et al. Oncogene 22: 1872-1879, 2003; Jong et al. Oncogene 26: 1499-1506, 2007). The protocols described are tailored to array CGH of FFPE solid malignancies: from sectioning FFPE blocks to specific cynosures for pathological revisions of sections, DNA isolation, quality testing, and amplification. The protocols are technical in character and elaborate up to the labeling of isolated DNA while further processes and interpretation and data analysis are beyond the scope.

Array-comparative genomic hybridization characterization of human pluripotent stem cells

During culture adaptation, human embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) tend to acquire chromosomal aberrations. Generally, stem cell lines are screened for large-scale chromosomal changes using low resolution karyotype analysis. Recent studies characterizing human stem cells using array-comparative genomic hybridization (aCGH) suggests most abnormalities acquired during culture are under the resolution of karyotype analysis and therefore are routinely missed. Here, we describe a custom-designed stem cell focused microarray utilizing 44K probes, with increased resolution in relevant stem cell-associated and cancer-related genes.

The genetic screening of preimplantation embryos by comparative genomic hybridisation

Comparative genomic hybridization (CGH) is an indirect DNA-based test which allows for the accurate analysis of aneuploidy involving any of the 24 types of chromosomes present (22 autosomes and the X and Y sex chromosomes). Traditionally, embryos have been screened using fluorescence in situ hybridization (FISH)--a technique that was limited in the number of chromosomes able to be identified in any one sample. Early CGH reports on aneuploidy in preimplantation embryos showed that any of the 24 chromosomes could be involved and so FISH methods were going to be ineffective in screening out abnormal embryos. Our results from routine clinical application of array CGH in preimplantation genetic diagnosis (PGD) patients confirm previous reports on patterns of chromosomal contribution to aneuploidy. The pregnancy outcomes following embryo transfer also indicate that despite the requirement to freeze embryos, rates are encouraging, and successful ongoing pregnancies can be achieved.

[Progress of cytogenetic detection in myelodysplastic syndromes]

In recent years, significant progresses have been got in study on pathogenesis, treatment and prognosis of myelodysplastic syndromes (MDS), especially on use of new technology, that has great importance for cytogenetics of MDS. Recently, the progress of cytogenetic detection in MDS is very remarkable. Based on the metaphase cytogenetics (MC) method, prognostic significance of cytogenetics in MDS was clarified gradually. For example, people have known the prognostic significance of 12 p-, 11 q-, +21, t(11(q23)), although these genetic abnormalities are rare in the MDS. In addition, chromosome mutation emerged in the process of MDS may indicate the poor prognosis. On the other hand, with the use of SNP-A and aCGH in the study of genetics, MDS cytogenetic abnormality detection rate has been further improved and can reach to 78%. At the same time, some of MDS patients with the "normal karyotype" detected by MC have new hidden aberrations through the SNP or CGH detection, and these patients have a poorer prognosis. In this review, the advances of study on cytogenetic detection for MDS based on MC and SNP-A or aCGH methods are summarized.

Maternally inherited partial monosomy 9p (pter → p24.1) and partial trisomy 20p (pter → p12.1) characterized by microarray comparative genomic hybridization

We report on a 17-year-old patient with midline defects, ocular hypertelorism, neuropsychomotor development delay, neonatal macrosomy, and dental anomalies. DNA copy number investigations using a Whole Genome TilePath array consisting, of 30K BAC/PAC clones showed a 6.36 Mb deletion in the 9p24.1-p24.3 region and a 14.83 Mb duplication in the 20p12.1-p13 region, which derived from a maternal balanced t(9;20)(p24.1;p12.1) as shown by FISH studies. Monosomy 9p is a well-delineated chromosomal syndrome with characteristic clinical features, while chromosome 20p duplication is a rare genetic condition. Only a handful of cases of monosomy 9/trisomy 20 have been previously described. In this report, we compare the phenotype of our patient with those already reported in the literature, and discuss the role of DMRT, DOCK8, FOXD4, VLDLR, RSPO4, AVP, RASSF2, PROKR2, BMP2, MKKS, and JAG1, all genes mapping to the deleted and duplicated regions.

Polar body array CGH for prediction of the status of the corresponding oocyte. Part I: clinical results

BACKGROUND

Several randomized controlled trials have not shown a benefit from preimplantation genetic screening (PGS) biopsy of cleavage-stage embryos and assessment of up to 10 chromosomes for aneuploidy. Therefore, a proof-of-principle study was planned to determine the reliability of alternative form of PGS, i.e. PGS by polar body (PB) biopsy, with whole genome amplification and microarray-based comparative genomic hybridization (array CGH) analysis.

METHODS

In two centres, all mature metaphase II oocytes from patients who consented to the study were fertilized by ICSI. The first and second PBs (PB1and PB2) were biopsied and analysed separately for chromosome copy number by array CGH. If either or both of the PBs were found to be aneuploid, the corresponding zygote was then also processed by array CGH for concordance analysis.

RESULTS

Both PBs were biopsied from a total of 226 zygotes from 42 cycles (average 5.5 per cycle; range 1-15) in 41 couples with an average maternal age of 40.0 years. Of these, the ploidy status of the zygote could be predicted in 195 (86%): 55 were euploid (28%) and 140 were aneuploid (72%). With only one exception, there was at least one predicted aneuploid zygote in each cycle and in 19 out of 42 cycles (45%), all zygotes were predicted to be aneuploid. Fresh embryos were transferred in the remaining 23 cycles (55%), and one frozen transfer was done. Eight patients had a clinical pregnancy of which seven were evolutive (ongoing pregnancy rates: 17% per cycle and 30% per transfer). The ploidy status of 156 zygotes was successfully analysed by array CGH: 38 (24%) were euploid and 118 (76%) were aneuploid. In 138 cases complete information was available on both PBs and the corresponding zygotes. In 130 (94%), the ploidy status of the zygote was concordant with the ploidy status of the PBs and in 8 (6%), the results were discordant.

CONCLUSIONS

This proof-of-principle study indicates that the ploidy of the zygote can be predicted with acceptable accuracy by array CGH analysis of both PBs.

Comparative genomic hybridization to detect variation in the copy number of large DNA segments

Array comparative genomic hybridization (CGH) is an excellent tool to scan the genome for copy number variations (CNVs) when used conscientiously. This article is intended to provide an understanding of the basic principles of array CGH and the different options available to the user to design their array CGH experiments. Specifically, the six subsections discuss the different array platforms available, test and reference DNA preparation, reference DNA choice, the basics of hybridization, data processing, and our current understanding of CNVs in the human genome.

Identification of submicroscopic chromosomal aberrations in fetuses with increased nuchal translucency and apparently normal karyotype

OBJECTIVE

Fetal nuchal translucency (NT) is assessed by ultrasonography as a screening tool for aneuploidy at 11 to 13 + 6 weeks' gestation. Fetuses with increased NT but apparently normal karyotype are still at higher risk of structural abnormality and a range of genetic syndromes, which may be related to major and submicroscopic chromosomal abnormalities. The aim of this study was to report the prevalence of submicroscopic chromosomal abnormalities in a cohort of apparently euploid fetuses that presented with increased NT.

METHODS

DNA was extracted from stored chorionic villus samples from fetuses found to have increased NT (> 3.5 mm) during first-trimester screening. These samples were examined by microarray-based comparative genomic hybridization (aCGH) using a 44K oligonucleotide array specifically constructed for prenatal screening. Variations in copy number (CNVs) were reported after excluding known non-pathogenic variants and after validation with multiplex ligation-dependent probe amplification (MLPA) or real-time quantitative polymerase chain reaction (qPCR). The prevalence of pathogenic CNVs is reported and the association with NT and other ultrasound findings described.

RESULTS

CNVs were reported in 6/48 (12.5%) cases by aCGH and the microdeletions or microduplications ranged from 1.1 to 7.9 Mb. Five of these were validated by MLPA/real-time qPCR and four (8.3%) were considered to be pathogenic and clinically significant. The incidence of pathogenic CNVs was 20.0% (2/10) among those cases with other sonographic anomalies and 5.3% (2/38) among those without.

CONCLUSION

aCGH allows detection of submicroscopic chromosomal abnormalities, the prevalence of which may be increased in fetuses with NT > 3.5 mm and an apparently normal karyotype.

Chromosomal aberrations in bladder cancer: fresh versus formalin fixed paraffin embedded tissue and targeted FISH versus wide microarray-based CGH analysis

Bladder carcinogenesis is believed to follow two alternative pathways driven by the loss of chromosome 9 and the gain of chromosome 7, albeit other nonrandom copy number alterations (CNAs) were identified. However, confirmation studies are needed since many aspects of this model remain unclear and considerable heterogeneity among cases has emerged. One of the purposes of this study was to evaluate the performance of a targeted test (UroVysion assay) widely used for the detection of Transitional Cell Carcinoma (TCC) of the bladder, in two different types of material derived from the same tumor. We compared the results of UroVysion test performed on Freshly Isolated interphasic Nuclei (FIN) and on Formalin Fixed Paraffin Embedded (FFPE) tissues from 22 TCCs and we didn't find substantial differences. A second goal was to assess the concordance between array-CGH profiles and the targeted chromosomal profiles of UroVysion assay on an additional set of 10 TCCs, in order to evaluate whether UroVysion is an adequately sensitive method for the identification of selected aneuploidies and nonrandom CNAs in TCCs. Our results confirmed the importance of global genomic screening methods, that is array based CGH, to comprehensively determine the genomic profiles of large series of TCCs tumors. However, this technique has yet some limitations, such as not being able to detect low level mosaicism, or not detecting any change in the number of copies for a kind of compensatory effect due to the presence of high cellular heterogeneity. Thus, it is still advisable to use complementary techniques such as array-CGH and FISH, as the former is able to detect alterations at the genome level not excluding any chromosome, but the latter is able to maintain the individual data at the level of single cells, even if it focuses on few genomic regions.

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.

Identification of the pangenome and its components in 14 distinct Aggregatibacter actinomycetemcomitans strains by comparative genomic analysis

Background

Aggregatibacter actinomycetemcomitans is genetically heterogeneous and comprises distinct clonal lineages that may have different virulence potentials. However, limited information of the strain-to-strain genomic variations is available.

Methodology/Principal Findings

The genome sequences of 11 A. actinomycetemcomitans strains (serotypes a-f) were generated de novo, annotated and combined with three previously sequenced genomes (serotypes a-c) for comparative genomic analysis. Two major groups were identified; serotypes a, d, e, and f, and serotypes b and c. A serotype e strain was found to be distinct from both groups. The size of the pangenome was 3,301 genes, which included 2,034 core genes and 1,267 flexible genes. The number of core genes is estimated to stabilize at 2,060, while the size of the pangenome is estimated to increase by 16 genes with every additional strain sequenced in the future. Within each strain 16.7–29.4% of the genome belonged to the flexible gene pool. Between any two strains 0.4–19.5% of the genomes were different. The genomic differences were occasionally greater for strains of the same serotypes than strains of different serotypes. Furthermore, 171 genomic islands were identified. Cumulatively, 777 strain-specific genes were found on these islands and represented 61% of the flexible gene pool.

Conclusions/Significance

Substantial genomic differences were detected among A. actinomycetemcomitans strains. Genomic islands account for more than half of the flexible genes. The phenotype and virulence of A. actinomycetemcomitans may not be defined by any single strain. Moreover, the genomic variation within each clonal lineage of A. actinomycetemcomitans (as defined by serotype grouping) may be greater than between clonal lineages. The large genomic data set in this study will be useful to further examine the molecular basis of variable virulence among A. actinomycetemcomitans strains.

Phenotypic and genetic characterization of adult T-cell acute lymphoblastic leukemia with del(9)(q34);SET-NUP214 rearrangement

SET-NUP214 rearrangement is a recently recognized recurrent chromosomal translocation mostly observed in T-ALL. In order to characterize this rare entity, we performed phenotypic and genetic characterization of SET-NUP214 rearrangement through an investigation of a series of 40 consecutive samples of adult T-ALL that was selected among 229 adult ALL cases during 4 years in a single institution. Four cases (10%) of SET-NUP214 translocation were identified in our study. In all cases, diagnosis of T-ALL was established according to the World Health Organization (WHO) classification, and clonal TCR rearrangements were found. The immunophenotypic markers were indicative of the precursor nature of T lymphoblasts, and they expressed one or both of the myeloid-associated antigens (CD13, CD33). Conventional cytogenetic analysis revealed complex chromosomal aberrations in all four SET-NUP214 rearranged cases and del(12)(p13)/ETV6 was frequently involved. Array-CGH demonstrated additional genomic imbalances in addition to deletion 9q34. The genomic breakpoint sequencing identified breakpoints at SET intron 7 and NUP214 intron 17, and random nucleotide addition was found in two cases at the site of rearrangement. Our independently derived data set from a single institution confirms previous findings of SET-NUP214 rearrangement, indicates the relatively high incidence of SET-NUP214 rearrangement in adult T-ALLs, and also demonstrates comprehensive clinical, phenotypic, and genetic characteristics of this entity. Also, our report on genomic breakpoints demonstrates the homogeneity in the localization of the genomic breakpoints at 9q34. Concurrent chromosomal aberrations identified in this study should provide further areas of interest in investigation of SET-NUP214-mediated leukemogenesis.

Tumor heterogeneity in a follicular carcinoma of thyroid: a study by comparative genomic hybridization

We report a follicular carcinoma of thyroid that showed a range of histologic appearances, with microfollicular, macrofollicular/pseudopapillary, oncocytic, and poorly differentiated areas. We used comparative genomic hybridization to detect the major DNA copy number changes in each component, in order to study the inter-relationships among them. All showed gains in 11q and 17q, suggesting that these were early events in the development of the tumor, and these were the only changes in the follicular component. The other components each showed additional gains and losses, some unique to one component. The oncocytic component showed most changes, including loss on 16q in the region of the E-cadherin gene. This was associated with reduced intensity of immunostaining for E-cadherin specifically in that component. No mutations in the E-cadherin gene were detected in this component. The demonstration that some DNA copy number changes are consistent across each component suggests that they are all clonally related. The additional chromosomal and immunohistochemical heterogeneity across the macrofollicular/pseudopapillary, oncocytic, and poorly differentiated components would be consistent with the emergence of subclones, possibly as part of tumor progression.

Analysis of Chinese women with primary ovarian insufficiency by high resolution array-comparative genomic hybridization

BACKGROUND

Primary ovarian insufficiency (POI) is defined as a primary ovarian defect characterized by absent menarche (primary amenorrhea) or premature depletion of ovarian follicles before the age of 40 years. The etiology of primary ovarian insufficiency in human female patients is still unclear. The purpose of this study is to investigate the potential genetic causes in primary amenorrhea patients by high resolution array based comparative genomic hybridization (array-CGH) analysis.

METHODS

Following the standard karyotyping analysis, genomic DNA from whole blood of 15 primary amenorrhea patients and 15 normal control women was hybridized with Affymetrix cytogenetic 2.7M arrays following the standard protocol. Copy number variations identified by array-CGH were confirmed by real time polymerase chain reaction.

RESULTS

All the 30 samples were negative by conventional karyotyping analysis. Microdeletions on chromosome 17q21.31-q21.32 with approximately 1.3 Mb were identified in four patients by high resolution array-CGH analysis. This included the female reproductive secretory pathway related factor N-ethylmaleimide-sensitive factor (NSF) gene.

CONCLUSIONS

The results of the present study suggest that there may be critical regions regulating primary ovarian insufficiency in women with a 17q21.31-q21.32 microdeletion. This effect might be due to the loss of function of the NSF gene/genes within the deleted region or to effects on contiguous genes.

Oligonucleotide microarrays in constitutional genetic diagnosis

Oligonucleotide microarrays such as comparative genomic hybridization arrays and SNP microarrays enable the identification of genomic imbalances - also termed copy-number variants - with increasing resolution. This article will focus on the most significant applications of high-throughput oligonucleotide microarrays, both in genetic diagnosis and research. In genetic diagnosis, the method is becoming a standard tool for investigating patients with unexplained developmental delay/intellectual disability, autism spectrum disorders and/or with multiple congenital anomalies. Oligonucleotide microarray have also been recently applied to the detection of genomic imbalances in prenatal diagnosis either to characterize a chromosomal rearrangement that has previously been identified by standard prenatal karyotyping or to detect a cryptic genomic imbalance in a fetus with ultrasound abnormalities and a normal standard prenatal karyotype. In research, oligonucleotide microarrays have been used for a wide range of applications, such as the identification of new genes responsible for monogenic disorders and the association of a copy-number variant as a predisposing factor to a common disease. Despite its widespread use, the interpretation of results is not always straightforward. We will discuss several unexpected results and ethical issues raised by these new methods.

Comprehensive assessment of array-based platforms and calling algorithms for detection of copy number variants

We have systematically compared copy number variant (CNV) detection on eleven microarrays to evaluate data quality and CNV calling, reproducibility, concordance across array platforms and laboratory sites, breakpoint accuracy and analysis tool variability. Different analytic tools applied to the same raw data typically yield CNV calls with <50% concordance. Moreover, reproducibility in replicate experiments is <70% for most platforms. Nevertheless, these findings should not preclude detection of large CNVs for clinical diagnostic purposes because large CNVs with poor reproducibility are found primarily in complex genomic regions and would typically be removed by standard clinical data curation. The striking differences between CNV calls from different platforms and analytic tools highlight the importance of careful assessment of experimental design in discovery and association studies and of strict data curation and filtering in diagnostics. The CNV resource presented here allows independent data evaluation and provides a means to benchmark new algorithms.

[Analysis of TCR gene rearrangement for identification of T cell leukemia clone by using fine-tiling aCGH]

AIM

To establish a new method which analyzes T cell receptor (TCR) gene rearrangement for identification of T cells acute lymphoblastic leukemia (T-ALL) clone, it will provide the basis for the study of T-ALL including the chromosome translocation involving TCR loci.

METHODS

Total DNA was isolated from peripheral blood mononuclear cells (PBMC) of one case with T-ALL. Using the fine-tiling array comparative genomic hybridization (fine-tiling aCGH) to analyze the genomic DNA differences of the case and control group, we could find the breakpoints and their position in the chromosomes. According to the preliminary results, we could design the specific primers for the positions of the breakpoints relative to sequence. Furthermore, the ligation-mediated PCR (LM-PCR) and sequence analysis were used to identify the TCR gene rearrangement. And TCR gene expression was detected by RT-PCR.

RESULTS

The fine-tiling aCGH results of the T-ALL showed that the TCRα/δ locus of chromosome 14 appeared four breakpoints, corresponding to TCR Vδ1, Vδ2, Jδ1 and Jδ2. By LM-PCR, sequencing and sequence analysis, TCR gene of the case of T-ALL was involved in Vδ1Dδ2Dδ3Jδ1, Vδ2Dδ3Jδ2 rearrangement. RT-PCR results also confirmed the expression of these TCR gene rearrangements.

CONCLUSION

The results demonstrated that fine-tiling aCGH and LM-PCR techniques could be used to identify the TCR gene rearrangement as one of the best perfect methods. And it was also a way to find some fusion genes involving in TCR gene.

Phenotypic and genomic analyses of a fast neutron mutant population resource in soybean

Mutagenized populations have become indispensable resources for introducing variation and studying gene function in plant genomics research. In this study, fast neutron (FN) radiation was used to induce deletion mutations in the soybean (Glycine max) genome. Approximately 120,000 soybean seeds were exposed to FN radiation doses of up to 32 Gray units to develop over 23,000 independent M2 lines. Here, we demonstrate the utility of this population for phenotypic screening and associated genomic characterization of striking and agronomically important traits. Plant variation was cataloged for seed composition, maturity, morphology, pigmentation, and nodulation traits. Mutants that showed significant increases or decreases in seed protein and oil content across multiple generations and environments were identified. The application of comparative genomic hybridization (CGH) to lesion-induced mutants for deletion mapping was validated on a midoleate x-ray mutant, M23, with a known FAD2-1A (for fatty acid desaturase) gene deletion. Using CGH, a subset of mutants was characterized, revealing deletion regions and candidate genes associated with phenotypes of interest. Exome resequencing and sequencing of PCR products confirmed FN-induced deletions detected by CGH. Beyond characterization of soybean FN mutants, this study demonstrates the utility of CGH, exome sequence capture, and next-generation sequencing approaches for analyses of mutant plant genomes. We present this FN mutant soybean population as a valuable public resource for future genetic screens and functional genomics research.