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DNA copy number analysis by MAPH: molecular diagnostic applications.

DNA copy number variation is an important cause of genetic disease. There are several techniques available to detect copy number changes of various sizes, each with their limitations in resolution and cost. Here we outline the development of multiplex amplifiable probe hybridization (MAPH) into a high-throughput diagnostic technique for detecting copy number variation of almost any size. Its application in testing for genetic mutations causing diseases, such as familial breast cancer, Charcot-Marie-Tooth disease Type 1A, Duchenne/Becker muscular dystrophy and familial colorectal cancer is described, as well as its use in identifying chromosomal changes in some individuals with mental retardation. The analysis of the data produced by MAPH is also considered, along with its potential for automation and development of microarray-based MAPH.

Animals↗

Array-based comparative genomic hybridization in clinical diagnosis.

The sequencing of the human genome and development of high-throughput microarray technologies have enhanced the detection of copy number alterations in cancer research and the study of constitutional chromosomal abnormalities. Microarray-based comparative genomic hybridization (array CGH) has integrated molecular and traditional cytogenetics and has begun to impact the clinician's approach to medical genetics. Clinical applications of array CGH may define new genetic syndromes, expand the phenotype of existing syndromes and characterize a genomic signature of some cancers. As array CGH becomes the initial diagnostic approach for the investigation of constitutional and acquired chromosomal abnormalities, the combination of bioinformatics, robotics and microarray technology will set the stage for a new generation of high-resolution and high-throughput tools for genetic analysis, diagnosis and gene discovery.

Disease↗

Probing genomic diversity and evolution of Escherichia coli O157 by single nucleotide polymorphisms.

Infections by Shiga toxin-producing Escherichia coli O157:H7 (STEC O157) are the predominant cause of bloody diarrhea and hemolytic uremic syndrome in the United States. In silico comparison of the two complete STEC O157 genomes (Sakai and EDL933) revealed a strikingly high level of sequence identity in orthologous protein-coding genes, limiting the use of nucleotide sequences to study the evolution and epidemiology of this bacterial pathogen. To systematically examine single nucleotide polymorphisms (SNPs) at a genome scale, we designed comparative genome sequencing microarrays and analyzed 1199 chromosomal genes (a total of 1,167,948 bp) and 92,721 bp of the large virulence plasmid (pO157) of eleven outbreak-associated STEC O157 strains. We discovered 906 SNPs in 523 chromosomal genes and observed a high level of DNA polymorphisms among the pO157 plasmids. Based on a uniform rate of synonymous substitution for Escherichia coli and Salmonella enterica (4.7x10(-9) per site per year), we estimate that the most recent common ancestor of the contemporary beta-glucuronidase-negative, non-sorbitolfermenting STEC O157 strains existed ca. 40 thousand years ago. The phylogeny of the STEC O157 strains based on the informative synonymous SNPs was compared to the maximum parsimony trees inferred from pulsed-field gel electrophoresis and multilocus variable numbers of tandem repeats analysis. The topological discrepancies indicate that, in contrast to the synonymous mutations, parts of STEC O157 genomes have evolved through different mechanisms with highly variable divergence rates. The SNP loci reported here will provide useful genetic markers for developing high-throughput methods for fine-resolution genotyping of STEC O157. Functional characterization of nucleotide polymorphisms should shed new insights on the evolution, epidemiology, and pathogenesis of STEC O157 and related pathogens.

Chromosome Mapping↗

A versatile statistical analysis algorithm to detect genome copy number variation.

We have developed a versatile statistical analysis algorithm for the detection of genomic aberrations in human cancer cell lines. The algorithm analyzes genomic data obtained from a variety of array technologies, such as oligonucleotide array, bacterial artificial chromosome array, or array-based comparative genomic hybridization, that operate by hybridizing with genomic material obtained from cancer and normal cells and allow detection of regions of the genome with altered copy number. The number of probes (i.e., resolution), the amount of uncharacterized noise per probe, and the severity of chromosomal aberrations per chromosomal region may vary with the underlying technology, biological sample, and sample preparation. Constrained by these uncertainties, our algorithm aims at robustness by using a priorless maximum a posteriori estimator and at efficiency by a dynamic programming implementation. We illustrate these characteristics of our algorithm by applying it to data obtained from representational oligonucleotide microarray analysis and array-based comparative genomic hybridization technology as well as to synthetic data obtained from an artificial model whose properties can be varied computationally. The algorithm can combine data from multiple sources and thus facilitate the discovery of genes and markers important in cancer, as well as the discovery of loci important in inherited genetic disease.

Algorithms↗

Gene expression profiling identifies a unique androgen-mediated inflammatory/immune signature and a PTEN (phosphatase and tensin homolog deleted on chromosome 10)-mediated apoptotic response specific to the rat ventral prostate.

Understanding androgen regulation of gene expression is critical for deciphering mechanisms responsible for the transition from androgen-responsive (AR) to androgen-independent (AI) prostate cancer (PCa). To identify genes differentially regulated by androgens in each prostate lobe, the rat castration model was used. Microarray analysis was performed to compare dorsolateral (DLP) and ventral prostate (VP) samples from sham-castrated, castrated, and testosterone-replenished castrated rats. Our data demonstrate that, after castration, the VP and the DLP differed in the number of genes with altered expression (1496 in VP vs. 256 in DLP) and the nature of pathways modulated. Gene signatures related to apoptosis and immune response specific to the ventral prostate were identified. Microarray and RT-PCR analyses demonstrated the androgen repression of IGF binding protein-3 and -5, CCAAT-enhancer binding protein-delta, and phosphatase and tensin homolog deleted on chromosome 10 (PTEN) genes, previously implicated in apoptosis. We show that PTEN protein was increased only in the luminal epithelial cells of the VP, suggesting that it may be a key mediator of VP apoptosis in the absence of androgens. The castration-induced immune/inflammatory gene cluster observed specifically in the VP included IL-15 and IL-18. Immunostaining of the VP, but not the DLP, showed an influx of T cells, macrophages, and mast cells, suggesting that these cells may be the source of the immune signature genes. Interestingly, IL-18 was localized mainly to the basal epithelial cells and the infiltrating macrophages in the regressing VP, whereas IL-15 was induced in the luminal epithelium. The VP castration model exhibits immune cell infiltration and loss of PTEN that is often observed in progressive PCa, thereby making this model useful for further delineation of androgen-regulated gene expression with relevance to PCa.

Androgens↗

FeatureExtract--extraction of sequence annotation made easy.

Work on a large number of biological problems benefits tremendously from having an easy way to access the annotation of DNA sequence features, such as intron/exon structure, the contents of promoter regions and the location of other genes in upsteam and downstream regions. For example, taking the placement of introns within a gene into account can help in a phylogenetic analysis of homologous genes. Designing experiments for investigating UTR regions using PCR or DNA microarrays require knowledge of known elements in UTR regions and the positions and strandness of other genes nearby on the chromosome. A wealth of such information is already known and documented in databases such as GenBank and the NCBI Human Genome builds. However, it usually requires significant bioinformatics skills and intimate knowledge of the data format to access this information. Presented here is a highly flexible and easy-to-use tool for extracting feature annotation from GenBank entries. The tool is also useful for extracting datasets corresponding to a particular feature (e.g. promoters). Most importantly, the output data format is highly consistent, easy to handle for the user and easy to parse computationally. The FeatureExtract web server is freely available for both academic and commercial use at http://www.cbs.dtu.dk/services/FeatureExtract/.

Chromosomes↗

A method for calling gains and losses in array CGH data.

Array CGH is a powerful technique for genomic studies of cancer. It enables one to carry out genome-wide screening for regions of genetic alterations, such as chromosome gains and losses, or localized amplifications and deletions. In this paper, we propose a new algorithm 'Cluster along chromosomes' (CLAC) for the analysis of array CGH data. CLAC builds hierarchical clustering-style trees along each chromosome arm (or chromosome), and then selects the 'interesting' clusters by controlling the False Discovery Rate (FDR) at a certain level. In addition, it provides a consensus summary across a set of arrays, as well as an estimate of the corresponding FDR. We illustrate the method using an application of CLAC on a lung cancer microarray CGH data set as well as a BAC array CGH data set of aneuploid cell strains.

Algorithms↗

hAG-2 and hAG-3, human homologues of genes involved in differentiation, are associated with oestrogen receptor-positive breast tumours and interact with metastasis gene C4.4a and dystroglycan.

hAG-2 and hAG-3 are recently discovered human homologues of the secreted Xenopus laevis proteins XAG-1/2 (AGR-1/2) that are expressed in the cement gland, an ectodermal organ in the head associated with anteroposterior fate determination during early development. Although the roles of hAG-2 and hAG-3 in mammalian cells are unknown, both proteins share a high degree of protein sequence homology and lie adjacent to one another on chromosome 7p21. hAG-2 mRNA expression has previously been demonstrated in oestrogen receptor (ER)-positive cell lines. In this study, we have used real-time quantitative RT - PCR analysis and immunohistochemistry on tissue microarrays to demonstrate concordant expression of hAG-2 and hAG-3 mRNA and protein in breast tumour tissues. Tumour expression of both genes correlated with OR (hAG2, P=0.0002; hAG-3, P=0.0012), and inversely correlated with epidermal growth factor receptor (EGFR) (P=0.003). Yeast two-hybrid cloning identified metastasis-associated GPI-anchored C4.4a protein and extracellular alpha-dystroglycan (DAG-1) as binding partners for both hAG-2 and hAG-3, which if replicated in clinical oncology would demonstrate a potential role in tumour metastasis through the regulation of receptor adhesion and functioning. hAG-2 and hAG-3 may therefore serve as useful molecular markers and/or potential therapeutic targets for hormone-responsive breast tumours.

Amino Acid Sequence↗

DNA methyltransferase 3B mutations linked to the ICF syndrome cause dysregulation of lymphogenesis genes.

ICF (immunodeficiency, centromeric region instability and facial anomalies) is a recessive disease caused by mutations in the DNA methyltransferase 3B gene (DNMT3B). Patients have immunodeficiency, chromosome 1 (Chr1) and Chr16 pericentromeric anomalies in mitogen-stimulated lymphocytes, a small decrease in overall genomic 5-methylcytosine levels and much hypomethylation of Chr1 and Chr16 juxtacentromeric heterochromatin. Microarray expression analysis was done on B-cell lymphoblastoid cell lines (LCLs) from ICF patients with diverse DNMT3B mutations and on control LCLs using oligonucleotide arrays for approximately 5600 different genes, 510 of which showed a lymphoid lineage-restricted expression pattern among several different lineages tested. A set of 32 genes had consistent and significant ICF-specific changes in RNA levels. Half of these genes play a role in immune function. ICF-specific increases in immunoglobulin (Ig) heavy constant mu and delta RNA and cell surface IgM and IgD and decreases in Ig(gamma) and Ig(alpha) RNA and surface IgG and IgA indicate inhibition of the later steps of lymphocyte maturation. ICF-specific increases were seen in RNA for RGS1, a B-cell specific inhibitor of G-protein signaling implicated in negative regulation of B-cell migration, and in RNA for the pro-apoptotic protein kinase C eta gene. ICF-associated decreases were observed in RNAs encoding proteins involved in activation, migration or survival of lymphoid cells, namely, transcription factor negative regulator ID3, the enhancer-binding MEF2C, the iron regulatory transferrin receptor, integrin beta7, the stress protein heme oxygenase and the lymphocyte-specific tumor necrosis factor receptor family members 7 and 17. No differences in promoter methylation were seen between ICF and normal LCLs for three ICF upregulated genes and one downregulated gene by a quantitative methylation assay [combined bisulfite restriction analysis (COBRA)]. Our data suggest that DNMT3B mutations in the ICF syndrome cause lymphogenesis-associated gene dysregulation by indirect effects on gene expression that interfere with normal lymphocyte signaling, maturation and migration.

Cell Line↗

Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model.

MOTIVATION: Comparative genomic hybridization array experiments that investigate gene copy number changes present new challenges for statistical analysis and call for methods that incorporate spatial dependence between sequences along the chromosome. For this purpose, we propose a novel method called CGHmix. It is based on a spatially structured mixture model with three states corresponding to genomic sequences that are either unmodified, deleted or amplified. Inference is performed in a Bayesian framework. From the output, posterior probabilities of belonging to each of the three states are estimated for each genomic sequence and used to classify them. RESULTS: Using simulated data, CGHmix is validated and compared with both a conventional unstructured mixture model and with a recently proposed data mining method. We demonstrate the good performance of CGHmix for classifying copy number changes. In addition, the method provides a good estimate of the false discovery rate. We also present the analysis of a cancer related dataset. SUPPLEMENTARY INFORMATION: http://www.bgx.org.uk/papers.html

Algorithms↗

Multiple genes in human 20q13 chromosomal region are involved in an advanced prostate cancer xenograft.

We analyzed a prostate cancer xenograft derived from a locally advanced tumor using combined cytogenetic, array-based comparative genomic hybridization and expression analyses. This analysis revealed that genes in the 20q13 chromosomal region, CSE1L, ZNF217, MYBL2, and STK15, were significantly overexpressed in this tumor. The expression pattern of these genes was then confirmed in two large human prostate cancer microarray databases. Furthermore, the MYBL2 and STK15 have been significantly overexpressed in prostate metastases, allowing a clear distinction between localized tumors and metastases. Our data suggest these genes to be involved in advanced stages of prostate tumorigenesis and as such, they may serve as markers for tumor progression.

Adenocarcinoma↗

Refined glufosinate selection in Agrobacterium-mediated transformation of soybean [Glycine max (L.) Merrill].

Modern genetic analysis and manipulation of soybean ( Glycine max) depend heavily on an efficient and dependable transformation process, especially in public genotypes from which expressed sequence tag (EST), bacterial artificial chromosome and microarray data have been derived. Williams 82 is the subject of EST and functional genomics analyses. However, it has not previously been transformed successfully using either somatic embryogenesis-based or cotyledonary-node transformation methods, the two predominant soybean transformation systems. An advance has recently been made in using antioxidants to enhance Agrobacterium infection of soybean. Nonetheless, an undesirable effect of using these antioxidants is the compromised recovery of transgenic soybean when combined with the use of the herbicide glufosinate as a selective agent. Therefore, we optimized both Agrobacterium infection and glufosinate selection in the presence of L-cysteine for Williams 82. We have recovered transgenic lines of this genotype with an enhanced transformation efficiency using this herbicide selection system.

Aminobutyrates↗

Inducible expression of AML1-ETO fusion protein endows leukemic cells with susceptibility to extrinsic and intrinsic apoptosis.

AML1-ETO, a leukemia-associated fusion protein generated by the frequently occurred chromosome translocation t(8;21) in acute myeloid leukemia, was shown to exert dichotomous functions in leukemic cells, that is, growth arrest versus differentiation block. By the analysis of oligonucleotide microarray, AML1-ETO was shown to modulate the expressions of an impressive array of pro- and anti-apoptotic genes. Here, we investigate potential effects of the ecdysone inducible AML1-ETO expression on apoptosis of leukemic U937 cell line. We show that AML1-ETO significantly stabilizes death receptor Fas protein and increases proapoptotic Bak in addition to reducing Bcl-2 expression. Accordingly, inducible AML1-ETO expression is followed by apoptosis to a lower degree. Especially, AML1-ETO endows leukemic cells with the susceptibility to anti-Fas agonist antibody, ultraviolet light and camptothecin analog NSC606985-induced apoptosis with increased activation of caspase-3/8. Considering that apoptosis-enhancing effect of AML1-ETO would not be favorable to the leukemogenesis harboring the t(8;21) translocation, it must be overcome to fulfill their leukemogenic potential. Complementary to this prediction is that two AML1-ETO-carrying leukemic cells, Kasumi-1 and SKNO-1, present similar sensitivity to apoptosis induction with AML1-ETO-negative leukemic cells. Therefore, genetic and/or epigenetic screenings of apoptosis-related genes modulated by AML1-ETO deserve to be explored for understanding the mechanisms of AML1-ETO-induced leukemogenesis.

Antibodies, Monoclonal↗

[Genetic factors predisposing to the development of papillary thyroid cancer].

According to classic theory of neogenesis, cancer arises from well-differentiated cell that in response to variety of factors de-differentiates, becomes able to proliferate without control and/or loses its ability to undergo apoptosis. According to another theory, cancers (at least cancers of some organs) originate from stem cells, which "by definition" are poorly differentiated and able to proliferate indefinitely. Therefore a lower number of abnormal events is necessary for these cells to escape proliferation-controlling mechanisms. With regard to papillary thyroid cancers it is still thought that it arises from well-differentiated thyreocyte. One of the characteristic features of cancer cell is chromosomal instability. Lowest number of such abnormalities is observed in well-differentiated thyroid cancers (including papillary cancer), intermediate - in poorly-differentiated cancers, while highest - in anaplastic cancers. Microarray analysis shows that despite of clinical heterogeneity, gene expression profiles of papillary cancers are very similar. Genetic anomalies predisposing to the development of papillary cancer most commonly regard proteins that possess kinase activity. Kinases phosphorylate other proteins, and play an extremely important role in signal transduction from outside the cell as well as inside the cell. Constitutive activation of some kinases may lead to the excessive and/or permanent activation of some transduction pathways specific for mitogens or growth factors. This results in excessive proliferation. The best known protein of such type which function is altered in papillary thyroid cancers is RET - a membrane-located growth factor-receptor with kinase activity. RET gene undergoes different rearrangements in this type of cancer. There are approximately 10 RET rearrangements known, with RET/PTC3 and RET/PTC1 being most common. In this anomaly kinase domain-encoding 3' end of RET gene is aberrantly bound to 5' end of another gene. Fusion protein synthesized on such hybrid template is not present in the cell membrane but in the cytoplasm, where it permanently activates transduction pathway specific for RET. NTRK1 gene encoding a member of family of neuronal growth factor receptors containing thyrosine kinase domain is also rearranged in papillary cancers. However, genes fused to its kinase domain-encoding sequence are different from the ones fused to RET. MET, a gene encoding another membrane protein with thyrosine kinase activity, which acts as a growth factor-receptor, is overexpressed in 70%-90% of papillary thyroid cancers. BRAF gene encoding another yet kinase transducing signals from RAS and RAF to the cell is mutated at position 1796 (T/A, amino acid substitution V599E) in 38-69% of papillary cancers. The presence of this activatory mutation is associated with higher degree of clinical advancement of the disease. In addition, in majority of papillary cancers tested, mutations of the genes encoding nuclear triiodothyronine receptors were found. Transgenic mice with both TRB allele replaced with dominant-negative TRB mutants develop aggressive thyroid cancers. Progression from papillary to anaplastic cancer is most possibly caused by the occurrence of additional anomalies within P53, RAS, NM23,b-catenin gene and other genes.

Adenocarcinoma, Papillary↗

Acute lymphoblastic leukaemia: diagnosis and classification.

Acute lymphoblastic leukaemia (ALL) is a heterogeneous disease with distinct biological and prognostic groupings. Diagnosis relies on traditional cytomorphological and immunohistochemical evaluation of the leukaemic blasts. Subsequently, cytogenetic analysis identifies clonal numeric and/or structural chromosomal abnormalities that may be present, thus confirming the subtype classification and providing important prognostic information for treatment planning. The major chromosomal abnormalities in ALL are t(9;22)(q34;q11), t(12;21)(p13;q22), t(4;11)(q21;q23), t(1;19)(q23;p13), 8q24 translocations and hyperdiploidy. Generally, hyperdiploidy, occurring most frequently in paediatric cases, is associated with a good prognosis, while hypodiploidy confers a poor prognosis. Among structural chromosomal abnormalities, the t(9;22)(q34;q11) resulting in the BCR/ABL fusion protein, and rearrangements of the MLL gene, confer a poor prognosis in both children and adults, while t(12;21)(p13;q22), resulting in the TEL/AML1 fusion protein, and del (12p) confer a good prognosis. More recently, additional diagnostic and prognostic information has been gained from fluorescence in situ hybridization (FISH) and DNA microarray techniques.

Cell Lineage↗

Contribution of gene loss to the pathogenic evolution of Burkholderia pseudomallei and Burkholderia mallei.

Burkholderia pseudomallei is the causative agent of melioidosis. Burkholderia thailandensis is a closely related species that can readily utilize l-arabinose as a sole carbon source, whereas B. pseudomallei cannot. We used Tn5-OT182 mutagenesis to isolate an arabinose-negative mutant of B. thailandensis. Sequence analysis of regions flanking the transposon insertion revealed the presence of an arabinose assimilation operon consisting of nine genes. Analysis of the B. pseudomallei chromosome showed a deletion of the operon from this organism. This deletion was detected in all B. pseudomallei and Burkholderia mallei strains investigated. We cloned the B. thailandensis E264 arabinose assimilation operon and introduced the entire operon into the chromosome of B. pseudomallei 406e via homologous recombination. The resultant strain, B. pseudomallei SZ5028, was able to utilize l-arabinose as a sole carbon source. Strain SZ5028 had a significantly higher 50% lethal dose for Syrian hamsters compared to the parent strain 406e. Microarray analysis revealed that a number of genes in a type III secretion system were down-regulated in strain SZ5028 when cells were grown in l-arabinose, suggesting a regulatory role for l-arabinose or a metabolite of l-arabinose. These results suggest that the ability to metabolize l-arabinose reduces the virulence of B. pseudomallei and that the genes encoding arabinose assimilation may be considered antivirulence genes. The increase in virulence associated with the loss of these genes may have provided a selective advantage for B. pseudomallei as these organisms adapted to survival in animal hosts.

Animals↗

Array-based comparative genomic hybridisation identifies high frequency of cryptic chromosomal rearrangements in patients with syndromic autism spectrum disorders.

BACKGROUND: Autism spectrum disorders (ASD) refer to a broader group of neurobiological conditions, pervasive developmental disorders. They are characterised by a symptomatic triad associated with qualitative changes in social interactions, defect in communication abilities, and repetitive and stereotyped interests and activities. ASD is prevalent in 1 to 3 per 1000 people. Despite several arguments for a strong genetic contribution, the molecular basis of a most cases remains unexplained. About 5% of patients with autism have a chromosome abnormality visible with cytogenetic methods. The most frequent are 15q11-q13 duplication, 2q37 and 22q13.3 deletions. Many other chromosomal imbalances have been described. However, most of them remain undetectable using routine karyotype analysis, thus impeding diagnosis and genetic counselling. METHODS AND RESULTS: 29 patients presenting with syndromic ASD were investigated using a DNA microarray constructed from large insert clones spaced at approximately 1 Mb intervals across the genome. Eight clinically relevant rearrangements were identified in 8 (27.5%) patients: six deletions and two duplications. Altered segments ranged in size from 1.4 to 16 Mb (2-19 clones). No recurrent abnormality was identified. CONCLUSION: These results clearly show that array comparative genomic hybridisation should be considered to be an essential aspect of the genetic analysis of patients with syndromic ASD. Moreover, besides their importance for diagnosis and genetic counselling, they may allow the delineation of new contiguous gene syndromes associated with ASD. Finally, the detailed molecular analysis of the rearranged regions may pave the way for the identification of new ASD genes.

Adolescent↗

Over a decade of experience with preimplantation genetic diagnosis.

The three respondents provide additional support for preimplantation genetic diagnosis (PGD) having the pivotal place it now has in prenatal genetic diagnosis: chromosomal abnormalities (e.g., unbalanced translocations), Mendelian disorders, and HLA typing for transfer of compatible, genetically normal, embryos. Transferring euploid embryos has decreased the clinical abortion rate and increased the implantation rate in assisted reproductive technologies (ART), but it has not necessarily improved the live-birth rate. Safer embryo biopsy, more extensive diagnostic efforts (i.e., microarray analysis), and more refined patient selection may be required before shifting from preselection of embryos based solely on morphological parameters to transfer of only aneuploidy-free embryos.

Abortion, Spontaneous↗