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Identification of novel Y chromosome encoded transcripts by testis transcriptome analysis of mice with deletions of the Y chromosome long arm.

BACKGROUND: The male-specific region of the mouse Y chromosome long arm (MSYq) is comprised largely of repeated DNA, including multiple copies of the spermatid-expressed Ssty gene family. Large deletions of MSYq are associated with sperm head defects for which Ssty deficiency has been presumed to be responsible. RESULTS: In a search for further candidate genes associated with these defects we analyzed changes in the testis transcriptome resulting from MSYq deletions, using testis cDNA microarrays. This approach, aided by accumulating mouse MSYq sequence information, identified transcripts derived from two further spermatid-expressed multicopy MSYq gene families; like Ssty, each of these new MSYq gene families has multicopy relatives on the X chromosome. The Sly family encodes a protein with homology to the chromatin-associated proteins XLR and XMR that are encoded by the X chromosomal relatives. The second MSYq gene family was identified because the transcripts hybridized to a microarrayed X chromosome-encoded testis cDNA. The X loci ('Astx') encoding this cDNA had 92-94% sequence identity to over 100 putative Y loci ('Asty') across exons and introns; only low level Asty transcription was detected. More strongly transcribed recombinant loci were identified that included Asty exons 2-4 preceded by Ssty1 exons 1, 2 and part of exon 3. Transcription from the Ssty1 promotor generated spermatid-specific transcripts that, in addition to the variable inclusion of Ssty1 and Asty exons, included additional exons because of the serendipitous presence of splice sites further downstream. CONCLUSION: We identified further MSYq-encoded transcripts expressed in spermatids and deriving from multicopy Y genes, deficiency of which may underlie the defects in sperm development associated with MSYq deletions.

Adaptor Proteins, Signal Transducing↗

6q subtelomeric deletion: is there a recognizable syndrome?

We report on a girl with an abnormal hybridization pattern for the subtelomeric fluorescence in-situ hybridization (FISH) probe panel showing deletion of the long arm telomeric region of chromosome 6. All other subtelomere DNA probes showed normal hybridization patterns. Metaphase cells analysed from cultures of peripheral blood revealed a normal female chromosome complement at the 650-band level. The deletion was further characterized using genomic microarray analysis. Clinical findings include: developmental delay, seizures, hypoplasia of the corpus callosum, dextrocardia, unusual dimpling of knees and elbows, and minor anomalies. We are aware of only two other reports of isolated cryptic 6q subtelomeric deletions not associated with other chromosomal abnormalities. The absence of retinal abnormalities in our case supports the theory that genes responsible for the retinal abnormalities in other terminal 6q deletions are proximal to 6q27. Subtelomeric FISH probes were useful in establishing a diagnosis in our patient. As more cases are reported, we may be able to establish discrete phenotypes and natural histories that can aid in counselling families.

Chromosome Deletion↗

Molecular classification of human gliomas using matrix-based comparative genomic hybridization.

Gliomas are the most frequent primary brain tumors and comprise a group of morphologically, biologically and clinically heterogeneous neoplasms. The different glioma types are associated with distinct genetic aberrations, which may provide useful information for tumor classification as well as prediction of prognosis and response to therapy. To facilitate the molecular classification of gliomas, we established a genomic microarray that consists of bacterial artificial chromosome (BAC) and P1-derived artificial chromosome (PAC) clones representing tumor suppressor genes, proto-oncogenes and chromosomal regions frequently gained or lost in gliomas. In addition, reference clones distributed evenly throughout the genome in approximately 15 Mbp intervals were spotted on the microarray. These customized microarrays were used for matrix-based comparative genomic hybridization (matrix CGH) analysis of 70 gliomas. Matrix CGH findings were validated by molecular genetic analyses of candidate genes, loss of heterozygosity studies and chromosomal CGH. Our results indicate that matrix CGH allows for the sensitive and specific detection of gene amplifications as well as low-level copy number gains and losses in clinical glioma samples. Furthermore, molecular classification based on matrix CGH data closely paralleled histological classification and was able to distinguish with few exceptions between diffuse astrocytomas and oligodendrogliomas, anaplastic astrocytomas and anaplastic oligodendrogliomas, anaplastic oligodendrogliomas and glioblastomas, as well as primary and secondary glioblastomas. Thus, matrix CGH is a powerful technique that allows for an automated genomic profiling of gliomas and represents a promising new tool for their molecular classification.

Adult↗

Genetic analysis of human glioblastomas using a genomic microarray system.

Genomic microarray systems can simultaneously provide substantial genetic and chromosomal information in a relatively short time. We have analyzed genomic DNA from frozen sections of 30 cases of primary glioblastomas by GenoSensor Array 300 in order to characterize gene amplifications, gene deletions, and chromosomal information in the whole genome. Genes that were frequently amplified included RFC2/CYLN2 (63.3%), EGFR (53.3%), IL6 (53.3%), ABCB1 (MDR1) (36.7%), and PDGFRA (26.7%). Genes that were frequently deleted included (56.7%), FGFR2 (66.7%), MTAP (60.0%), DMBT1 CDKN2A (p16)/MTAP (50.0%), PIK3CA (43.3%), and EGR2 (43.3%), but deletion of RB1 or TP53 was rarely detected. Chromosomal gains were observed frequently for 7q (33.3%), 7p (20.0%), and 17q (13.3%). Loss of the 10q was frequently detected in 13 of 30 cases (46.7%). Loss of the entire chromosome 10 was seen in 9 of 30 cases (30.0%), and was often accompanied by EGFR amplification (7 cases, 77.8%). The GenoSensor Array 300 proved to be useful for identification of genome-wide molecular changes in glioblastomas. The obtained microarray profile can also yield valuable insight into the molecular events underlying carcinogenesis of brain tumors and may provide clues about clinical correlations, including response to treatment.

Adult↗

ChroCoLoc: an application for calculating the probability of co-localization of microarray gene expression.

UNLABELLED: With the production of whole genome microarray chips the ability arises to investigate whether the regulation of particular groups of genes may be influenced by their chromosomal localization. Chromosome Co-Localization probability calculator (ChroCoLoc) is a publicly available web-based tool for the analysis of co-localization of co-expressed genes identified by microarray experiments. AVAILABILITY: http://www.ebi.ac.uk/expressionprofiler/

Algorithms↗

Selective breeding, quantitative trait locus analysis, and gene arrays identify candidate genes for complex drug-related behaviors.

Acute functional tolerance to ethanol develops during a single exposure to ethanol; it has been suggested to be a predisposing factor for the development of ethanol dependence. Genetic determinants of acute functional tolerance, as well as of ethanol dependence, have been clearly demonstrated. We describe a novel approach that uses a combination of selective breeding (to segregate genes contributing to the phenotype of interest, i.e., acute functional tolerance to the incoordinating effect of ethanol), quantitative trait locus analysis (to define chromosomal regions associated with acute functional tolerance), and DNA microarray technology (to identify differentially expressed genes in the brains of the selected lines of mice) to identify candidate genes for the complex phenotype of ethanol tolerance. The results indicate the importance of a signal transduction cascade that involves the glutamate receptor delta2 protein, the Ephrin B3 ligand, and the NMDA receptor, as well as a transcriptional regulatory protein that may be induced by activation of the NMDA receptor (zinc finger protein 179) and a protein that can modulate downstream responses to NMDA receptor activation (peroxiredoxin), in mediating acute tolerance to the incoordinating effect of ethanol.

Alcohol-Induced Disorders↗

Defining a centromere-like element in Bacillus subtilis by Identifying the binding sites for the chromosome-anchoring protein RacA.

Chromosome segregation during sporulation in Bacillus subtilis involves the anchoring of sister chromosomes to opposite ends of the cell. Anchoring is mediated by RacA, which acts as a bridge between a centromere-like element in the vicinity of the origin of replication and the cell pole. To define this element we mapped RacA binding sites by performing chromatin immunoprecipitation in conjunction with gene microarray analysis. RacA preferentially bound to 25 regions spread over 612 kb across the origin portion of the chromosome. Computational and biochemical analysis identified a GC-rich, inverted 14 bp repeat as the recognition sequence. Experiments with single molecules of DNA demonstrated that RacA can condense nonspecific DNA dramatically against appreciable forces to form a highly stable protein-DNA complex. We propose that interactions between DNA bound RacA molecules cause the centromere-like element to fold up into a higher order complex that fastens the chromosome to the cell pole.

Bacillus subtilis↗

SeeGH--a software tool for visualization of whole genome array comparative genomic hybridization data.

BACKGROUND: Array comparative genomic hybridization (CGH) is a technique which detects copy number differences in DNA segments. Complete sequencing of the human genome and the development of an array representing a tiling set of tens of thousands of DNA segments spanning the entire human genome has made high resolution copy number analysis throughout the genome possible. Since array CGH provides signal ratio for each DNA segment, visualization would require the reassembly of individual data points into chromosome profiles. RESULTS: We have developed a visualization tool for displaying whole genome array CGH data in the context of chromosomal location. SeeGH is an application that translates spot signal ratio data from array CGH experiments to displays of high resolution chromosome profiles. Data is imported from a simple tab delimited text file obtained from standard microarray image analysis software. SeeGH processes the signal ratio data and graphically displays it in a conventional CGH karyotype diagram with the added features of magnification and DNA segment annotation. In this process, SeeGH imports the data into a database, calculates the average ratio and standard deviation for each replicate spot, and links them to chromosome regions for graphical display. Once the data is displayed, users have the option of hiding or flagging DNA segments based on user defined criteria, and retrieve annotation information such as clone name, NCBI sequence accession number, ratio, base pair position on the chromosome, and standard deviation. CONCLUSIONS: SeeGH represents a novel software tool used to view and analyze array CGH data. The software gives users the ability to view the data in an overall genomic view as well as magnify specific chromosomal regions facilitating the precise localization of genetic alterations. SeeGH is easily installed and runs on Microsoft Windows 2000 or later environments.

Chromosome Mapping↗

Paint-assisted microdissection-FISH: Rapid and simple mapping of translocation breakpoints in the embryonal rhabdomyosarcoma cell line RD.

BACKGROUND: Spectral karyotyping and multiple fluorophore fluorescence in situ hybridisation (M-FISH) facilitate identification of inter-chromosomal rearrangements, but are of low cytogenetic resolution in mapping translocation breakpoints. Reverse chromosome painting yields increased cytogenetic information but isolation of aberrant chromosomes is technically difficult. We have developed the technique of paint-assisted microdissection FISH (PAM-FISH), which enables microdissection of aberrant chromosomes to be carried out easily and rapidly using relatively simple apparatus. METHODS: A selected chromosome paint is hybridised to abnormal metaphases to label a chromosome of interest, which is then microdissected, amplified, labelled by polymerase chain reaction (PCR), and reverse painted onto extended normal metaphases. RESULTS: PAM-FISH was used to reassess structural chromosomal abnormalities identified by molecular cytogenetics in the rhabdomyosarcoma cell line RD. PAM-FISH improved the analysis of virtually all structural abnormalities, identifying six novel translocations and indicating that seven previously described rearrangements were in fact not present in RD. Accuracy of the breakpoint mapping obtained was confirmed by bacterial artificial chromosome-FISH. CONCLUSIONS: PAM-FISH is ideally suited to analysis of tumour metaphases as it is not affected by poor chromosome morphology. Reagents generated by PAM-FISH are also suitable for other investigations, such as mapping using sequence tagged-site PCR or genomic microarrays. PAM-FISH is technically straightforward and could readily be adopted in a routine cytogenetics laboratory for accurate high-throughput analysis of chromosome breakpoints.

Cell Line, Tumor↗

Unraveling human cancer in the mouse: recent refinements to modeling and analysis.

The ability to manipulate the mouse genome has made the mouse the primary mammalian genetic model organism. It has been possible to model human cancer in the mouse by overexpressing oncogenes or inactivating tumor suppressor genes, and these experiments have provided much of our in vivo understanding of cancer. However, these transgenic approaches do not always completely and accurately model human carcinogenesis. Recent developments in transgenic and knockout approaches have improved the accuracy of modeling somatic cancer in the mouse and analyzing the genomic instability that occurs in murine tumors. It is possible to use retroviral gene delivery, chromosome engineering and inducible transgenes to selectively manipulate the genome in a more precise spatial and temporal pattern. In addition, the development of powerful cytogenetic tools such as spectral karyotyping, fluorescence in situ hybridization and comparative genome hybridization have improved our ability to detect chromosomal rearrangements. Finally, global patterns of gene expression can be determined by microarray analysis to decipher complex gene patterns which occur in cancers. Several of these advances in mouse modeling of human cancer are discussed in this review.

Animals↗

Global eQTL mapping reveals the complex genetic architecture of transcript-level variation in Arabidopsis.

The genetic architecture of transcript-level variation is largely unknown. The genetic determinants of transcript-level variation were characterized in a recombinant inbred line (RIL) population (n = 211) of Arabidopsis thaliana using whole-genome microarray analysis and expression quantitative trait loci (eQTL) mapping of transcript levels as expression traits (e-traits). Genetic control of transcription was highly complex: one-third of the quantitatively controlled transcripts/e-traits were regulated by cis-eQTL, and many trans-eQTL mapped to hotspots that regulated hundreds to thousands of e-traits. Several thousand eQTL of large phenotypic effect were detected, but almost all (93%) of the 36,871 eQTL were associated with small phenotypic effects (R(2) < 0.3). Many transcripts/e-traits were controlled by multiple eQTL with opposite allelic effects and exhibited higher heritability in the RILs than their parents, suggesting nonadditive genetic variation. To our knowledge, this is the first large-scale global eQTL study in a relatively large plant mapping population. It reveals that the genetic control of transcript level is highly variable and multifaceted and that this complexity may be a general characteristic of eukaryotes.

Arabidopsis↗

Global changes in STAT target selection and transcription regulation upon interferon treatments.

The STAT (signal transducer and activator of transcription) proteins play a crucial role in the regulation of gene expression, but their targets and the manner in which they select them remain largely unknown. Using chromatin immunoprecipitation and DNA microarray analysis (ChIP-chip), we have identified the regions of human chromosome 22 bound by STAT1 and STAT2 in interferon-treated cells. Analysis of the genomic loci proximal to these binding sites introduced new candidate STAT1 and STAT2 target genes, several of which are affiliated with proliferation and apoptosis. The genes on chromosome 22 that exhibited interferon-induced up- or down-regulated expression were determined and correlated with the STAT-binding site information, revealing the potential regulatory effects of STAT1 and STAT2 on their target genes. Importantly, the comparison of STAT1-binding sites upon interferon (IFN)-gamma and IFN-alpha treatments revealed dramatic changes in binding locations between the two treatments. The IFN-alpha induction revealed nonconserved STAT1 occupancy at IFN-gamma-induced sites, as well as novel sites of STAT1 binding not evident in IFN-gamma-treated cells. Many of these correlated with binding by STAT2, but others were STAT2 independent, suggesting that multiple mechanisms direct STAT1 binding to its targets under different activation conditions. Overall, our results reveal a wealth of new information regarding IFN/STAT-binding targets and also fundamental insights into mechanisms of regulation of gene expression in different cell states.

Antineoplastic Agents↗

Loss of the forkhead transcription factor FoxM1 causes centrosome amplification and mitotic catastrophe.

Expression of the forkhead transcription factor FoxM1 correlates with proliferative status in a variety of normal and transformed cell types. Elevated expression of FoxM1 has been noted in both hepatocellular carcinoma and basal cell carcinoma. However, whether FoxM1 expression is essential for the viability of transformed cells is unknown. We report here that the expression of FoxM1 is significantly elevated in primary breast cancer. Microarray analysis shows that FoxM1 regulates genes that are essential for faithful chromosome segregation and mitosis, including Nek2, KIF20A, and CENP-A. Loss of FoxM1 expression generates mitotic spindle defects, delays cells in mitosis, and induces mitotic catastrophe. Time-lapse microscopy indicates that depletion of FoxM1 generates cells that enter mitosis but are unable to complete cell division, resulting in either mitotic catastrophe or endoreduplication. These findings indicate that FoxM1 depletion causes cell death due to mitotic catastrophe and that inhibiting FoxM1 represents a therapeutic strategy to target breast cancer.

Breast Neoplasms↗

Genome-wide array CGH analysis of murine neuroblastoma reveals distinct genomic aberrations which parallel those in human tumors.

Neuroblastoma, the third most common tumor of childhood, is a complex disease in which few genetic mutations have been identified.Mice expressing a human MYCN oncogene driven by the rat tyrosine hydroxylase promoter (TH-MYCN) represent an animal model for this disorder. We performed microarray-based comparative genomic hybridization analysis on murine tumors, identifying gains on chromosomes 1, 3, 11, 14, 17, and 18 and losses on chromosomes 5, 9, and 16. Fluorescence in situ hybridization analysis confirmed an amplicon on chromosome 18 as the site of TH-MYCN transgene integration. Selected tumors with localized gains of chromosome 11 delineate a 15-Mb region orthologous to human chromosome 17q and help to narrow the minimal region gained in human tumors. We observed clustered loss of chromosomes 5, 9, and 16, orthologous to a similar pattern of combined loss of chromosomes 3p, 4p, and 11q in human tumors. These data demonstrate conservation of many genetic changes in murine and human neuroblastoma and suggest that further delineation of genetic abnormalities in murine tumors may identify genes important in human disease.

Allelic Imbalance↗

Microarray analysis of hepatic gene expression in gallstone-susceptible and gallstone-resistant mice.

Cholesterol gallstone disease affects 40 million Americans, and evidence indicates that there is a genetic component to human gallstone disease. In a mouse model of gallstone formation, where mice are fed a lithogenic diet, QTL analysis has been employed to identify the Lith 1 locus on Chromosome (Chr) 2. In order to identify genes in which the difference in expression is independent of factors other than strain-specific genotype, we employed microarray analysis of hepatic gene expression in gallstone-susceptible (C57L/J) and gallstone-resistant (AKR/J) mice. We observed 57 genes with consistent differential expression between C57L/J and AKR/J mice, including many cytochrome, antioxidant, and lipid peroxidation genes. Analysis of differentially expressed genes identified numerous genes involved in fatty acid metabolism. Northern analysis of selected lipid metabolic genes further confirmed the strain-specific differential expression. Literature searches of common regulatory elements within antioxidant systems identified the nuclear transcription factor Nrf2, which maps to the Lith 1 loci. Hepatic Nrf2 gene and protein expression is also increased in strain AKR/J, compared with C57L/J mice, identifying Nrf2 as a putative Lith 1 gallstone gene. These data indicate that microarray analysis may complement QTL analysis to identify systems of regulation and genotypic differences responsible for polygenic diseases.

Animals↗

Comprehensive DNA copy number profiling of meningioma using a chromosome 1 tiling path microarray identifies novel candidate tumor suppressor loci.

Meningiomas are common neoplasms of the meninges lining of the central nervous system. Deletions of 1p have been established as important for the initiation and/or progression of meningioma. The rationale of this array-CGH study was to characterize copy number imbalances of chromosome 1 in meningioma, using a full-coverage genomic microarray containing 2,118 distinct measurement points. In total, 82 meningiomas were analyzed, making this the most detailed analysis of chromosome 1 in a comprehensive series of tumors. We detected a broad range of aberrations, such as deletions and/or gains of various sizes. Deletions were the predominant finding and ranged from monosomy to a 3.5-Mb terminal 1p homozygous deletion. Although multiple aberrations were observed across chromosome 1, every meningioma in which imbalances were detected harbored 1p deletions. Tumor heterogeneity was also observed in three recurrent meningiomas, which most likely reflects a progressive loss of chromosomal segments at different stages of tumor development. The distribution of aberrations supports the existence of at least four candidate loci on chromosome 1, which are important for meningioma tumorigenesis. In one of these regions, our results already allow the analysis of a number of candidate genes. In a large series of cases, we observed an association between the presence of segmental duplications and deletion breakpoints, which suggests their role in the generation of these tumor-specific aberrations. As 1p is the site of the genome most frequently affected by tumor-specific aberrations, our results indicate loci of general importance for cancer development and progression.

Chromosome Aberrations↗

Microarray-based CGH of sporadic and syndrome-related pheochromocytomas using a 0.1-0.2 Mb bacterial artificial chromosome array spanning chromosome arm 1p.

Pheochromocytomas (PCC) are relatively rare neuroendocrine tumors, mainly of the adrenal medulla. They arise sporadically or occur secondary to inherited cancer syndromes, such as multiple endocrine neoplasia type II (MEN2), von Hippel-Lindau disease (VHL), or neurofibromatosis type I (NF1). Loss of 1p is the most frequently encountered genetic alteration, especially in MEN2-related and sporadic PCC. Previous studies have revealed three regions of common somatic loss on chromosome arm 1p, using chromosome-based comparative genomic hybridization (CGH) and LOH analysis. To investigate these chromosomal aberrations with a higher resolution and sensitivity, we performed microarray-based CGH with 13 sporadic and 11 syndrome-related (10 MEN2A-related and 1 NF1-related) tumors. The array consisted of 642 overlapping bacterial artificial chromosome (BAC) clones mapped to 1p11.2-p36.33. Chromosomal deletions on 1p were detected in 18 of 24 cases (75%). Among 9 tumors with partial 1p loss, the deleted region was restricted to 1cen-1p32.3 in six cases (25%), indicating a region of genetic instability. The consensus regions of deletion in this study involved 1cen-1p21.1, 1p21.3-1p31.3, and 1p34.3-1p36.33. In conclusion, these data strongly suggest that chromosome arm 1p is the site for multiple tumor suppressor genes, although the potential candidate genes CDKN2C and PTPRF/LAR are not included in these regions.

Adrenal Gland Neoplasms↗

Analysis of chromosome breakpoints in neuroblastoma at sub-kilobase resolution using fine-tiling oligonucleotide array CGH.

Understanding the genes and genetic pathways targeted by recurrent chromosomal imbalances in malignancy, along with the molecular mechanisms that generate the imbalances, are important problems in cancer biology. In this report, we demonstrate that oligonucleotide array CGH (oaCGH) analysis can routinely map chromosomal imbalance breakpoints at exon-level resolution, including imbalances that are single copy number genomic alterations. Different tiling-path array designs were used in this study: a whole-genome array with a 6-kb median probe spacing and fine-tiling arrays for selected genomic regions with either 50- or 140-bp median probe spacing. In both array formats, oligonucleotide probes were of isothermal design and were tiled through genic and inter-genic regions. Whole-genome oaCGH analysis of two neuroblastoma cell lines and three primary tumors led to the identification of 58 chromosomal breakpoints that generated 45 large-scale partial chromosomal imbalances (> 2 Mb). An unexpectedly high proportion (34%) of these breakpoint intervals mapped to regions containing segmental duplications. In addition, 88 smaller-sized regions (< 2 Mb) of imbalance were detected, the majority of which mapped to segmentally duplicated regions and may reflect constitutional copy number polymorphisms. The chromosomal breakpoints for 12 recurrent abnormalities exhibited in neuroblastoma tumors and cell lines, including MYCN amplicon boundaries, loss of 3p, loss of 11q, and gain of 17q, could be mapped to intervals ranging from 50 bp to 10 kb in size using high-density fine-tiling oligonucleotide microarrays. Fine-tiling oaCGH analysis provides an unprecedented level of resolution, allowing detailed mapping of recurrent unbalanced chromosomal abnormalities. Supplementary material for this article can be found on the Genes, Chromosomes, and Cancer website at http://www.interscience.wiley.com/jpages/1045-2257/suppmat/index.html.

Chromosome Breakage↗