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Detection of MYCN amplification and chromosome 1p36 loss in neuroblastoma by cDNA microarray comparative genomic hybridization.

BACKGROUND: In the last decade, microarray technology has been extensively used to evaluate gene expression profiles and genome imbalances. We have developed a microarray-based comparative genomic hybridization (CGH) approach to identify MYCN gene amplification and 1p36 chromosome loss, two markers of tumor aggressiveness in neuroblastoma. AIM: The aim was to use microarray CGH technology to detect the two major prognostic markers for neuroblastoma, MYCN amplification and 1p36 chromosome deletion, in neuroblastoma patients and, therefore, confirm the usefulness of this approach in this cancer. METHODS: DNA was purified from 16 tumors containing at least 90% malignant neuroblasts and collected at the onset of disease. Pooled fluorescent-labeled reference and neuroblastoma tumor genomic DNA was hybridized to epoxide-coated glass slides on laboratory-made complementary DNA microarray. The microarray contained cDNA mapped at the 1p36.33-36.1 chromosomal region and MYCN gene. cDNA from the 2q33-q34 and 12p13 chromosomes was used as a control and Arabidopsis thaliana DNA was spotted to control unspecific hybridization. Fluorescence in situ hybridization analysis was also performed to validate results from the microarray CGH. RESULTS: Both MYCN amplification and 1p36 chromosome deletion were detected by microarray CGH. The sensitivity and specificity for 1p36 loss detection were 66.7% and 90.0%, respectively. The method had a sensitivity of 66.7% and specificity of 90.9% to detect MYCN amplification. DISCUSSION: Our results demonstrated that the microarray CGH can be efficiently applied to study DNA gain and loss of specific chromosome regions.

Cell Nucleus↗

Transcriptional control of BubR1 by p53 and suppression of centrosome amplification by BubR1.

Elimination of the regulatory mechanism underlying numeral homeostasis of centrosomes, as seen in cells lacking p53, results in abnormal amplification of centrosomes, which increases the frequency of chromosome segregation errors, and thus contributes to the chromosome instability frequently observed in cancer cells. We have previously reported that p53(-/-) mouse cells in prolonged culture undergo genomic convergence similar to that observed during tumor progression; early-passage p53(-/-) cells are karyotypically heterogeneous due to extensive chromosome instability associated with centrosome amplification, while late-passage p53(-/-) cells are aneuploid yet karyotypically homogeneous and chromosomally stable. Moreover, they contain numerically normal centrosomes. Through the microarray analysis of early- and late-passage p53(-/-) cells, we identified the BubR1 spindle checkpoint protein, which plays a critical role in suppression of centrosome amplification and stabilization of chromosomes in late-passage p53(-/-) cells. Up-regulation of BubR1 augments the checkpoint function, which effectively senses the spindle/chromosome aberrations associated with centrosome amplification. We further found that BubR1 transcription is largely controlled by p53. In early-passage p53(-/-) cells, BubR1 expression is low and the checkpoint function in response to microtubule toxin is considerably compromised. In late-passage cells, however, regaining of BubR1 expression restores the checkpoint function to mitotic aberrations caused by microtubule toxin. Our studies demonstrate the molecular aspect of genomic convergence in cultured cells, providing critical information for understanding the stepwise progression of tumors.

Animals↗

Combined array comparative genomic hybridization and tissue microarray analysis suggest PAK1 at 11q13.5-q14 as a critical oncogene target in ovarian carcinoma.

Amplification of chromosomal regions leads to an increase of DNA copy numbers and expression of oncogenes in many human tumors. The identification of tumor-specific oncogene targets has potential diagnostic and therapeutic implications. To identify distinct spectra of oncogenic alterations in ovarian carcinoma, metaphase comparative genomic hybridization (mCGH), array CGH (aCGH), and ovarian tumor tissue microarrays were used in this study. Twenty-six primary ovarian carcinomas and three ovarian carcinoma cell lines were analyzed by mCGH. Frequent chromosomal overrepresentation was observed on 2q (31%), 3q (38%), 5p (38%), 8q (52%), 11q (21%), 12p (21%), 17q (21%), and 20q (52%). The role of oncogenes residing in gained chromosomal loci was determined by aCGH with 59 genetic loci commonly amplified in human tumors. DNA copy number gains were most frequently observed for PIK3CA on 3q (66%), PAK1 on 11q (59%), KRAS2 on 12p (55%), and STK15 on 20q (55%). The 11q13-q14 amplicon, represented by six oncogenes (CCND1, FGF4, FGF3, EMS1, GARP, and PAK1) revealed preferential gene copy number gains of PAK1, which is located at 11q13.5-q14. Amplification and protein expression status of both PAK1 and CCND1 were further examined by fluorescence in situ hybridization and immunohistochemistry using a tissue microarray consisting of 268 primary ovarian tumors. PAK1 copy number gains were observed in 30% of the ovarian carcinomas and PAK1 protein was expressed in 85% of the tumors. PAK1 gains were associated with high grade (P < 0.05). In contrast, CCND1 gene alterations and protein expression were less frequent (10.6% and 25%, respectively), suggesting that the critical oncogene target of amplicon 11q13-14 lies distal to CCND1. This study demonstrates that aCGH facilitates further characterization of oncogene candidates residing in amplicons defined by mCGH.

Carcinoma↗

Genetic determinants of energy expenditure and insulin resistance in diet-induced obesity in mice.

Diet-induced obesity is the primary determinant of the current epidemic of diabetes. We have explored the role of genetics in this phenomenon, using C57Bl/6 (B6), 129S6/SvEvTac (129), and intercross (B6 x 129)F2 mice on a low- or high-fat diet. Over an 18-week period, B6 and F2 mice gained more weight, had higher levels of insulin and leptin, and showed greater glucose intolerance than 129 mice, despite lower food intake. By contrast, metabolic rate and diet-induced thermogenesis were significantly higher in the 129 mice. Genome-wide scans identified several quantitative trait loci, including a quantitative trait locus that was linked with hyperinsulinemia/insulin resistance on chromosome 14 in a region similar to that seen in mice with genetically induced insulin resistance. Microarray analysis indicated significant changes in expression levels between B6 and 129 mice in the identified chromosomal area of Wnt5a and protein kinase Cdelta (PKCdelta). Thus, caloric efficiency, i.e., the "thrifty gene," is a dominant-acting genetic determinant of diet-induced obesity in mice and can be linked to a locus on chromosome 14, including genes linked to adipose development and insulin sensitivity.

Animals↗

Correlation between Bacillus subtilis scoC phenotype and gene expression determined using microarrays for transcriptome analysis.

The availability of the complete sequence of the Bacillus subtilis chromosome (F. Kunst et al., Nature 390:249-256, 1997) makes possible the construction of genome-wide DNA arrays and the study of this organism on a global scale. Because we have a long-standing interest in the effects of scoC on late-stage developmental phenomena as they relate to aprE expression, we studied the genome-wide effects of a scoC null mutant with the goal of furthering the understanding of the role of scoC in growth and developmental processes. In the present work we compared the expression patterns of isogenic B. subtilis strains, one of which carries a null mutation in the scoC locus (scoC4). The results obtained indicate that scoC regulates, either directly or indirectly, the expression of at least 560 genes in the B. subtilis genome. ScoC appeared to repress as well as activate gene expression. Changes in expression were observed in genes encoding transport and binding proteins, those involved in amino acid, carbohydrate, and nucleotide and/or nucleoside metabolism, and those associated with motility, sporulation, and adaptation to atypical conditions. Changes in gene expression were also observed for transcriptional regulators, along with sigma factors, regulatory phosphatases and kinases, and members of sensor regulator systems. In this report, we discuss some of the phenotypes associated with the scoC mutant in light of the transcriptome changes observed.

Bacillus subtilis↗

High-throughput tissue microarray analysis of 3p25 (RAF1) and 8p12 (FGFR1) copy number alterations in urinary bladder cancer.

Studies by comparative genomic hybridization revealed that the chromosomal regions 3p25 and 8p11-p12 are recurrently amplified in bladder cancer. To investigate the prevalence of DNA copy number alterations in these chromosomal regions and study their clinical significance, we used probes for the RAF1 (3p25) and FGFR1 (8p12) genes for fluorescence in situ hybridization. A tissue microarray containing 2317 tumors was analyzed. The analysis revealed RAF1 amplification in 4.0% and FGFR1 amplification in 3.4% of interpretable tumors. In addition, deletions were found at the 3p25 locus in 2.2% and at the 8p11-12 locus in 9.9% of interpretable tumors. Both amplifications and deletions of RAF1 and FGFR1 were significantly associated with high tumor grade (P < 0.0001), advanced stage (P < 0.0001), and poor survival (P < 0.05) if tumors of all of the stages where analyzed together. RAF1 amplifications were associated with subsequent tumor progression in pT1 carcinomas (P < 0.05). The marked differences in the frequency of all of the analyzed changes between pTa grade 1/grade 2 and pT1-4 carcinomas support the concept of these tumor groups representing different tumor entities.

Chromosomes, Human, Pair 3↗

Host restriction of Salmonella enterica serotype Typhimurium pigeon isolates does not correlate with loss of discrete genes.

The definitive phage types (DT) 2 and 99 of Salmonella enterica serotype Typhimurium are epidemiologically correlated with a host range restricted to pigeons, in contrast to phage types with broader host ranges such as epidemic cattle isolates (DT104 and DT204). To determine whether phage types with broad host range possess genetic islands absent from host-restricted phage types, we compared the genomes of four pigeon isolates to serotype Typhimurium strain LT2 using a DNA microarray. Three of the four isolates tested caused fluid accumulation in bovine ligated ileal loops, but they had reduced colonization of liver and spleen in susceptible BALB/c mice and were defective for intestinal persistence in Salmonella-resistant CBA mice. The genomes of the DT99 and DT2 isolates were extremely similar to the LT2 genome, with few notable differences on the level of complete individual genes. Two large groups of genes representing the Fels-1 and Fels-2 prophages were missing from the DT2 and DT99 phage types we analyzed. One of the DT99 isolates examined was lacking a third cluster of five chromosomal genes (STM1555 to -1559). Results of the microarray analysis were extended using Southern analysis to a collection of 75 serotype Typhimurium clinical isolates of 24 different phage types. This analysis revealed no correlation between the presence of Fels-1, Fels-2, or STM1555 to -1559 and the association of phage types with different host reservoirs. We conclude that serotype Typhimurium phage types with broad host range do not possess genetic islands influencing host restriction, which are absent from the host-restricted pigeon isolates.

Animals↗

Genomic microarrays in clinical diagnosis.

PURPOSE OF REVIEW: Cytogenetic analysis has for a long time relied on chromosome banding by karyotyping for whole-genome analysis of structural and numerical chromosomal anomalies. Conceptual and technical developments in molecular cytogenetics are rapidly changing the way the human genome is being analyzed by enhancing the resolving power from the megabase to the kilobase level. This review describes the various genomic microarray approaches that have been developed for molecular cytogenetic purposes and their implementation in a routine clinical diagnostic setting. RECENT FINDINGS: Genomic microarray approaches such as array-based comparative genomic hybridization have recently been shown to identify causative submicroscopic copy number alterations in a significant proportion of patients with mental retardation. These alterations occur throughout the human genome and the majority of these alterations reported thus far are unique. Next to these causative alterations, a large number of inherited submicroscopic copy number variations without immediate clinical consequences have been detected by these methods. SUMMARY: Genome profiling by genomic microarrays is becoming an important diagnostic tool, either in addition to or replacing conventional chromosome banding, depending on the expected diagnostic yield and the costs involved.

Child, Preschool↗

Application of ROMA (representational oligonucleotide microarray analysis) to patients with cytogenetic rearrangements.

PURPOSE: To demonstrate the accuracy and sensitivity of Representational Oligonucleotide Microarray Analysis (ROMA) to describe copy number changes in patients with chromosomal abnormalities. METHODS: ROMA was performed using BglII digested DNA from two cases with cytogenetically detected deletions and one case with an unbalanced terminal rearrangement detected only by subtelomeric FISH. Hybridization was to an 85,000-probe oligonucleotide microarray, providing an average resolution of 35 kb. FISH was used to confirm some of the ROMA findings. RESULTS: By ROMA, a del(13)(q14.3q21.2) was shown to be noncontiguous, with deletions extending from 53.08 to 61.40 Mb and from 72.88 to 74.83 Mb. The 10-Mb deletion contained only six known genes. FISH confirmed the noncontiguous nature of the deletion, as well as a small amplification in 6q that was also found in the patient's mother. A del(4)(q12q21.2) was found by ROMA to be 23 Mb in length, from 58.8 to 81.9 Mb on chromosome 4, in agreement with the cytogenetically assigned breakpoints. ROMA showed that an unbalanced "subtelomeric" rearrangement involved a 6-Mb deletion of 22q and an 8-Mb duplication of 16q. CONCLUSIONS: ROMA can define cytogenetic aberrations with extraordinary precision. Unexpected findings included the interrupted nature of the deletion in 13q and the large size of the imbalances in the "subtelomeric" rearrangement. Together with the information from the human genome sequence and proteomics, the ability to define rearrangements with "ultra-high" resolution will improve the ability to provide accurate prognosis both prenatally and postnatally to parents of offspring with chromosomal aberrations.

Child, Preschool↗

Y-chromosomal SNPs in Finno-Ugric-speaking populations analyzed by minisequencing on microarrays.

An increasing number of single nucleotide polymorphisms (SNPs) on the Y chromosome are being identified. To utilize the full potential of the SNP markers in population genetic studies, new genotyping methods with high throughput are required. We describe a microarray system based on the minisequencing single nucleotide primer extension principle for multiplex genotyping of Y-chromosomal SNP markers. The system was applied for screening a panel of 25 Y-chromosomal SNPs in a unique collection of samples representing five Finno--Ugric populations. The specific minisequencing reaction provides 5-fold to infinite discrimination between the Y-chromosomal genotypes, and the microarray format of the system allows parallel and simultaneous analysis of large numbers of SNPs and samples. In addition to the SNP markers, five Y-chromosomal microsatellite loci were typed. Altogether 10,000 genotypes were generated to assess the genetic diversity in these population samples. Six of the 25 SNP markers (M9, Tat, SRY10831, M17, M12, 92R7) were polymorphic in the analyzed populations, yielding six distinct SNP haplotypes. The microsatellite data were used to study the genetic structure of two major SNP haplotypes in the Finns and the Saami in more detail. We found that the most common haplotypes are shared between the Finns and the Saami, and that the SNP haplotypes show regional differences within the Finns and the Saami, which supports the hypothesis of two separate settlement waves to Finland.

Cross-Sectional Studies↗

Patterns of expression of chromosome 17 genes in primary cultures of normal ovarian surface epithelia and epithelial ovarian cancer cell lines.

Oligonucleotide microarray analysis was applied to assess the expression profile of 332 probe sets representing 308 genes or expressed sequence tags (ESTs) that map to chromosome 17 in order to address epigenetic events that result in alterations in gene expression in epithelial ovarian cancer (EOC). Expression profiles were generated from 12 primary cultures derived from normal ovarian surface epithelium (NOSE) and four long-term cultures (TOV-81D, TOV-112D, TOV-21G and OV-90) derived from EOCs that have been previously characterized and shown to mimic features of the tumoral cells from which they were derived. The expression values of all 332 probe sets is highly correlated across the 12 NOSEs (89% correlation coefficients >0.90). In two-way comparisons, differential patterns of gene expression were observed for 157 probe sets for which the expression value of at least one EOC cell line fell outside the limits of the range of expression of the 12 NOSEs. When compared to NOSEs, four genes displayed similar differential patterns of gene expression across all four EOC cell lines, and 26 genes displayed similar differential patterns of gene expression across the three EOC cell lines (TOV-112D, TOV-21G and OV-90) representing tumoral cells derived from the most aggressive disease. A total of 17 genes displayed differential patterns of gene expression greater than threefold in at least one EOC cell line in comparison to NOSE, and three genes were differentially expressed greater than threefold across all aggressive cell lines. The analysis of a selected number of genes by RT-PCR revealed patterns of gene expression comparable to those observed by microarray analysis in the majority of samples tested. Comparison of expression profiles of differentially expressed genes identified by microarray analysis in two-way comparisons of the EOC cell lines and the NOSEs with published reports revealed 10 genes previously implicated in ovarian tumorigenesis and 18 in tumorigenesis of other types of cancer. The differential pattern of gene expression of genes that map to both the p and q arm of chromosome 17 is consistent with the hypothesis that a number of genes that map to this chromosome are implicated in the etiology of ovarian cancer.

Cells, Cultured↗

Dual roles of adiponectin/Acrp30 in vivo as an anti-diabetic and anti-atherogenic adipokine.

Genome-wide scanning is a powerful tool to identify susceptible chromosome loci, however, individual chromosomal regions still have many candidate genes. Although cDNA microarray analysis provides valuable information for identifying genes involved in pathogenesis, expression levels of many genes are changed. A novel approach for identification of therapeutic targets is the combination of genome-wide scanning and the use of DNA chips, as shown in Fig. (1). Using DNA chips, we screened for secreted molecules, the expressions of which were changed in adipose tissues from mice rendered insulin resistance. Decreased expression of one of these molecules, adiponectin/Acrp30, correlates strongly with insulin resistance. Interestingly, recent genome-wide scans have mapped a susceptibility locus for type 2 diabetes and metabolic syndrome to chromosome 3q27, where adiponectin gene is located. Decreasing serum adiponectin levels are associated with increased risk for type 2 diabetes. Interestingly, adiponectin was decreased in insulin resistant rodent models both of obesity and lipoatrophy, and replenishment of adiponectin ameliorated their insulin resistance. Moreover, adiponectin transgenic mice ameliorated insulin resistance and diabetes Adiponectin knockout mice showed insulin resistance and glucose intolerance. In muscle and liver, adiponectin activated AMP kinase and PPARalpha pathways thereby increasing beta-oxidation of lipids, leading to decreased TG content, which ameliorated insulin resistance under a high-fat diet. Despite similar plasma glucose and lipid levels on an apoE deficient background, adiponectin transgenic apoE deficient mice showed amelioration of atherosclerosis, which was associated with decreased expressions of class A scavenger receptor and tumor necrosis factor alpha. Finally, cDNA encoding adiponectin receptors (AdipoR1 and R2) have been identified by expression cloning, which facilitates the understanding of molecular mechanisms of adiponectin actions and obesity-linked diseases such as diabetes and atherosclerosis and the designing of novel antidiabetic and anti-atherogenic drugs with AdipoR1 and R2 as molecular targets.

Adiponectin↗

Genetic background of different cancer cell lines influences the gene set involved in chromosome 8 mediated breast tumor suppression.

Several lines of evidence suggest that chromosome 8 is likely to harbor tumor-suppressor genes involved in breast cancer. We showed previously that microcell-mediated transfer of human chromosome 8 into breast cancer cell line MDA-MB-231 resulted in reversion of these cells to tumorigenicity and was accompanied by changes in the expression of a breast cancer-relevant gene set. In the present study, we demonstrated that transfer of human chromosome 8 into another breast cancer cell line, CAL51, strongly reduced the tumorigenic potential of these cells. Loss of the transferred chromosome 8 resulted in reappearance of the CAL51 phenotype. Microarray analysis identified 78 probe sets differentially expressed in the hybrids compared with in the CAL51 and the rerevertant cells. This signature was also reflected in a panel of breast tumors, lymph nodes, and distant metastases and was correlated with several prognostic markers including tumor size, grading, metastatic behavior, and estrogen receptor status. The expression patterns of seven genes highly expressed in the hybrids but down-regulated in the tumors and metastases (MYH11, CRYAB, C11ORF8, PDGFRL, PLAGL1, SH3BP5, and KIAA1026) were confirmed by RT-PCR and tissue microarray analyses. Unlike with the corresponding nontumorigenic phenotypes demonstrated for the MDA-MB-231- and CAL51-derived microcell hybrids, the respective differentially expressed genes strongly differed. However, the majority of genes in both gene sets could be integrated into a similar spectrum of biological processes and pathways, suggesting that alterations in gene expression are manifested at the level of functions and pathways rather than in individual genes.

Animals↗

Interstitial deletion of chromosome 12q: genotype-phenotype correlation of two patients utilizing array comparative genomic hybridization.

Interstitial deletions of chromosome 12q are rare, with only 11 reported cases in the literature. We recently described two cases with cytogenetically identical interstitial deletions of the long arm of chromosome 12. Here, we report on a third patient, a 26-month-old male with a cytogenetically-identical interstitial deletion: 46,XY,del(12)(q21.2q22). Phenotypic features of this male proband included craniofacial and ectodermal anomalies, genitourinary anomalies, minor cardiac abnormalities, mild ventriculomegaly on brain MRI, hyperopia, and developmental delay. To further define the extent of the chromosomal aberration, microarray-based comparative genomic hybridization (array CGH) analysis was performed and the array data was compared to one of our previously reported cases. Although cytogenetic analysis of the two patients was concordant, molecular analysis by array CGH revealed that the patients had discordant distal breakpoints. The determination of molecular breakpoints and phenotypic analyses in these two patients, in conjunction with previously reported cases, leads us to propose a 12q deletion phenotype and a possible genetic locus for hyperkeratosis pilaris/ulerythema ophryogenes.

Child, Preschool↗

The role of X-linked genes in breast cancer.

While contribution of X chromosome in the susceptibility of prostate and ovarian cancer has been demonstrated, the role of X-linked genes in breast carcinogenesis is not clearly known. This study investigated and compared the X-linked gene expression profiles of MMTV-c-myc transgenic mammary tumor (MT) or MMTV-c-myc/MT-tgf-alpha double transgenic mouse mammary tumor (DT) to lactating mammary gland. cDNA microarray analysis using the Affymetrix system identified 1081 genes localized on the X chromosome with 174 and 194 genes at +/-2-fold change levels in MT and DT samples, respectively. Differentially expressed X-linked genes were predominantly related to chromatin structure/remodeling (e.g., Hdac8, Suv39h1, RbAp46 and Adr1), segregation (e.g., CENP-I and smc111) and, ribosomal biogenesis and translational control (e.g., Dkc1, Rpl44, Rpl39, Eif2s3x, Gspt2 and Rsk4). Confirmation of microarray data by semi-quantitative and quantitative RT-PCR in selected X-linked genes also showed similar pattern. In addition, the expression pattern of two chromosomal regions, XE3 and XF5, suggests that XE3 may have escaped from inactivation and XF5 subjected to inactivation. In conclusion, our data suggest that X-linked genes may play the key regulatory roles in the maintenance of chromatin structure, accurate chromosomal segregation and translational control; hence deregulation of X-linked genes may promote mammary gland tumorigenesis by promoting genetic instability and cell proliferation. Increased understanding of the role of X-linked genes and genetic pathways will provide the strategies to develop the molecular therapeutics to treat and prevent reproductive related cancers.

Animals↗

Copy number gains on 22q13 in adenoid cystic carcinoma of the salivary gland revealed by comparative genomic hybridization and tissue microarray analysis.

Adenoid cystic carcinoma (ACC) of the salivary gland is a neoplasm characterized by slow but inevitable local progression and terminal hematogenous metastasis. To detect novel imbalanced chromosomal regions associated with tumorigenesis, we used chromosomal comparative genomic hybridization to screen 27 ACC. The most common aberration was copy number gain of 22q13 (nine cases) followed by gains of 16p (seven cases) and 17q (four cases) and copy number losses on 6q (six cases). To further delineate the prevalence of 22q13 copy number gains in ACC, fluorescence in situ hybridization was performed for five bacterial/phage artificial chromosome (BAC/PAC) probes from the 22q13 consensus region with 57 ACC on a tissue microarray. The overall prevalence of copy number gains on 22q13 was 30% of the tumors in the fluorescence in situ hybridization analysis, irrespective of histologic differentiation (cribriform/tubular vs. solid) or tumor event (primary vs. recurrent). We therefore assume that copy number gain of 22q13 is a novel frequent finding in ACC that may be involved in the initial pathogenesis of this neoplasm by proto-oncogene activation.

Adult↗

Molecular cytogenetic studies of Xq critical regions in premature ovarian failure patients.

BACKGROUND: Premature ovarian failure (POF) is defined as amenorrhoea for more than 6 months, occurring before the age of 40, with an FSH serum level higher than 40 mIU/ml. Cytogenetically visible rearrangements of the X chromosome are associated with POF. Our hypothesis was that cryptic Xq chromosomal rearrangements could be an important etiological contributor of POF. METHODS: Ninety POF women were recruited and compared to 20 control women. Peripheral blood samples were collected and metaphase chromosomes were prepared using standard cytogenetic methods. To detect Xq chromosomal micro-rearrangements, fluorescence in situ hybridization (FISH) analysis was performed using a selection of 30 bacterial artificial chromosome (BAC) and P1 artificial chromosome clones, spanning Xq13-q27. We further localized the translocation breakpoints by FISH with additional BAC clones. RESULTS: Chromosomal abnormalities were identified in 8.8% of our 90 patients [one triple X, three large Xq deletions 46,X,del(X)(q22.3), 46,X,del(X)(q21.2) and 46,X,del(X)(q21.32), two balanced X;autosome translocations 46,X,t(X;1) (q21.1;q32) and 46,X,t(X;9)(q21.31;q21.2) and two Robertsonian translocations 45,XX,der(15;22)(q10;q10) and 45,XX,der(14;21)(q10;q10)]. The two Xq translocation breakpoints were among a cluster of repetitive elements without any known genes. FISH analysis did not reveal any Xq chromosomal micro-rearrangement. CONCLUSIONS: Karyotyping is definitely helpful in the evaluation of POF patients. No submicroscopic chromosomal rearrangements affecting Xq region were identified. Further analysis using DNA microarrays should help delineate Xq regions involved in POF.

Adult↗

A statistical approach for array CGH data analysis.

BACKGROUND: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences immobilized on a slide. These probes are genomic DNA sequences (BACs) that are mapped on the genome. The signal has a spatial coherence that can be handled by specific statistical tools. Segmentation methods seem to be a natural framework for this purpose. A CGH profile can be viewed as a succession of segments that represent homogeneous regions in the genome whose BACs share the same relative copy number on average. We model a CGH profile by a random Gaussian process whose distribution parameters are affected by abrupt changes at unknown coordinates. Two major problems arise: to determine which parameters are affected by the abrupt changes (the mean and the variance, or the mean only), and the selection of the number of segments in the profile. RESULTS: We demonstrate that existing methods for estimating the number of segments are not well adapted in the case of array CGH data, and we propose an adaptive criterion that detects previously mapped chromosomal aberrations. The performances of this method are discussed based on simulations and publicly available data sets. Then we discuss the choice of modeling for array CGH data and show that the model with a homogeneous variance is adapted to this context. CONCLUSIONS: Array CGH data analysis is an emerging field that needs appropriate statistical tools. Process segmentation and model selection provide a theoretical framework that allows precise biological interpretations. Adaptive methods for model selection give promising results concerning the estimation of the number of altered regions on the genome.

Algorithms↗