Spontaneous DNA breakage in single living Escherichia coli cells

Spontaneous DNA breakage is predicted to be a frequent, inevitable consequence of DNA replication and is thought to underlie much of the genomic change that fuels cancer and evolution. Despite its importance, there has been little direct measurement of the amounts, types, sources and fates of spontaneous DNA lesions in living cells. We present a direct, sensitive flow cytometric assay in single living Escherichia coli cells for DNA lesions capable of inducing the SOS DNA damage response, and we report its use in quantification of spontaneous DNA double-strand breaks (DSBs). We report efficient detection of single chromosomal DSBs and rates of spontaneous breakage approximately 20- to 100-fold lower than predicted. In addition, we implicate DNA replication in the origin of spontaneous DSBs with the finding of fewer spontaneous DSBs in a mutant with altered DNA polymerase III. The data imply that spontaneous DSBs induce genomic changes and instability 20-100 times more potently than previously appreciated. Finally, FACS demonstrated two main cell fates after spontaneous DNA damage: viability with or without resumption of proliferation.     

Mining the human genome using microarrays of open reading frames

To test the hypothesis that the human genome project will uncover many genes not previously discovered by sequencing of expressed sequence tags (ESTs), we designed and produced a set of microarrays using probes based on open reading frames (ORFs) in 350 Mb of finished and draft human sequence. Our approach aims to identify all genes directly from genomic sequence by querying gene expression. We analysed genomic sequence with a suite of ORF prediction programs, selected approximately one ORF per gene, amplified the ORFs from genomic DNA and arrayed the amplicons onto treated glass slides. Of the first 10,000 arrayed ORFs, 31% are completely novel and 29% are similar, but not identical, to sequences in public databases. Approximately one-half of these are expressed in the tissues we queried by microarray. Subsequent verification by other techniques confirmed expression of several of the novel genes. Expressed sequence tags (ESTs) have yielded vast amounts of data, but our results indicate that many genes in the human genome will only be found by genomic sequencing.     

Loss of genomic methylation causes p53-dependent apoptosis and epigenetic deregulation

Cytosine methylation of mammalian DNA is essential for the proper epigenetic regulation of gene expression and maintenance of genomic integrity. To define the mechanism through which demethylated cells die, and to establish a paradigm for identifying genes regulated by DNA methylation, we have generated mice with a conditional allele for the maintenance DNA methyltransferase gene Dnmt1. Cre-mediated deletion of Dnmt1 causes demethylation of cultured fibroblasts and a uniform p53-dependent cell death. Mutational inactivation of Trp53 partially rescues the demethylated fibroblasts for up to five population doublings in culture. Oligonucleotide microarray analysis showed that up to 10% of genes are aberrantly expressed in demethylated fibroblasts. Our results demonstrate that loss of Dnmt1 causes cell-type-specific changes in gene expression that impinge on several pathways, including expression of imprinted genes, cell-cycle control, growth factor/receptor signal transduction and mobilization of retroelements.     

Cancer predisposition caused by elevated mitotic recombination in Bloom mice

Bloom syndrome is a disorder associated with genomic instability that causes affected people to be prone to cancer. Bloom cell lines show increased sister chromatid exchange, yet are proficient in the repair of various DNA lesions. The underlying cause of this disease are mutations in a gene encoding a RECQ DNA helicase. Using embryonic stem cell technology, we have generated viable Bloom mice that are prone to a wide variety of cancers. Cell lines from these mice show elevations in the rates of mitotic recombination. We demonstrate that the increased rate of loss of heterozygosity (LOH) resulting from mitotic recombination in vivo constitutes the underlying mechanism causing tumour susceptibility in these mice.     

Genome-wide analysis of DNA copy-number changes using cDNA microarrays.

Gene amplifications and deletions frequently contribute to tumorigenesis. Characterization of these DNA copy-number changes is important for both the basic understanding of cancer and its diagnosis. Comparative genomic hybridization (CGH) was developed to survey DNA copy-number variations across a whole genome. With CGH, differentially labelled test and reference genomic DNAs are co-hybridized to normal metaphase chromosomes, and fluorescence ratios along the length of chromosomes provide a cytogenetic representation of DNA copy-number variation. CGH, however, has a limited ( approximately 20 Mb) mapping resolution, and higher-resolution techniques, such as fluorescence in situ hybridization (FISH), are prohibitively labour-intensive on a genomic scale. Array-based CGH, in which fluorescence ratios at arrayed DNA elements provide a locus-by-locus measure of DNA copy-number variation, represents another means of achieving increased mapping resolution. Published array CGH methods have relied on large genomic clone (for example BAC) array targets and have covered only a small fraction of the human genome. cDNAs representing over 30,000 radiation-hybrid (RH)-mapped human genes provide an alternative and readily available genomic resource for mapping DNA copy-number changes. Although cDNA microarrays have been used extensively to characterize variation in human gene expression, human genomic DNA is a far more complex mixture than the mRNA representation of human cells. Therefore, analysis of DNA copy-number variation using cDNA microarrays would require a sensitivity of detection an order of magnitude greater than has been routinely reported. We describe here a cDNA microarray-based CGH method, and its application to DNA copy-number variation analysis in breast cancer cell lines and tumours. Using this assay, we were able to identify gene amplifications and deletions genome-wide and with high resolution, and compare alterations in DNA copy number and gene expression.     

Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells

Cytosine methylation is required for mammalian development and is often perturbed in human cancer. To determine how this epigenetic modification is distributed in the genomes of primary and transformed cells, we used an immunocapturing approach followed by DNA microarray analysis to generate methylation profiles of all human chromosomes at 80-kb resolution and for a large set of CpG islands. In primary cells we identified broad genomic regions of differential methylation with higher levels in gene-rich neighborhoods. Female and male cells had indistinguishable profiles for autosomes but differences on the X chromosome. The inactive X chromosome (Xi) was hypermethylated at only a subset of gene-rich regions and, unexpectedly, overall hypomethylated relative to its active counterpart. The chromosomal methylation profile of transformed cells was similar to that of primary cells. Nevertheless, we detected large genomic segments with hypomethylation in the transformed cell residing in gene-poor areas. Furthermore, analysis of 6,000 CpG islands showed that only a small set of promoters was methylated differentially, suggesting that aberrant methylation of CpG island promoters in malignancy might be less frequent than previously hypothesized.     

Systematic assessment of copy number variant detection via genome-wide SNP genotyping

SNP genotyping has emerged as a technology to incorporate copy number variants (CNVs) into genetic analyses of human traits. However, the extent to which SNP platforms accurately capture CNVs remains unclear. Using independent, sequence-based CNV maps, we find that commonly used SNP platforms have limited or no probe coverage for a large fraction of CNVs. Despite this, in 9 samples we inferred 368 CNVs using Illumina SNP genotyping data and experimentally validated over two-thirds of these. We also developed a method (SNP-Conditional Mixture Modeling, SCIMM) to robustly genotype deletions using as few as two SNP probes. We find that HapMap SNPs are strongly correlated with 82% of common deletions, but the newest SNP platforms effectively tag about 50%. We conclude that currently available genome-wide SNP assays can capture CNVs accurately, but improvements in array designs, particularly in duplicated sequences, are necessary to facilitate more comprehensive analyses of genomic variation.     

Common deletions and SNPs are in linkage disequilibrium in the human genome

Humans show great variation in phenotypic traits such as height, eye color and susceptibility to disease. Genomic DNA sequence differences among individuals are responsible for the inherited components of these complex traits. Reports suggest that intermediate and large-scale DNA copy number and structural variations are prevalent enough to be an important source of genetic variation between individuals. Because association studies to identify genomic loci associated with particular phenotypic traits have focused primarily on genotyping SNPs, it is important to determine whether common structural polymorphisms are in linkage disequilibrium with common SNPs, and thus can be assessed indirectly in SNP-based studies. Here we examine 100 deletion polymorphisms ranging from 70 bp to 7 kb. We show that common deletions and SNPs ascertained with similar criteria have essentially the same distribution of linkage disequilibrium with surrounding SNPs, indicating that these polymorphisms may share evolutionary history and that most deletion polymorphisms are effectively assayed by proxy in SNP-based association studies.     

Evidence for an instructive mechanism of de novo methylation in cancer cells

DNA methylation has a role in the regulation of gene expression during normal mammalian development but can also mediate epigenetic silencing of CpG island genes in cancer and other diseases. Many individual genes (including tumor suppressors) have been shown to undergo de novo methylation in specific tumor types, but the biological logic inherent in this process is not understood. To decipher this mechanism, we have adopted a new approach for detecting CpG island DNA methylation that can be used together with microarray technology. Genome-wide analysis by this technique demonstrated that tumor-specific methylated genes belong to distinct functional categories, have common sequence motifs in their promoters and are found in clusters on chromosomes. In addition, many are already repressed in normal cells. These results are consistent with the hypothesis that cancer-related de novo methylation may come about through an instructive mechanism.     

Chromatin profiling using targeted DNA adenine methyltransferase

Chromatin is the highly complex structure consisting of DNA and hundreds of associated proteins. Most chromatin proteins exert their regulatory and structural functions by binding to specific chromosomal loci. Knowledge of the identity of these in vivo target loci is essential for the understanding of the functions and mechanisms of action of chromatin proteins. We report here large-scale mapping of in vivo binding sites of chromatin proteins, using a novel approach based on a combination of targeted DNA methylation and microarray technology. We show that three distinct chromatin proteins in Drosophila melanogaster cells each associate with specific sets of genes. HP1 binds predominantly to pericentric genes and transposable elements. GAGA factor associates with euchromatic genes that are enriched in (GA)n motifs. A Drosophila homolog of Saccharomyces cerevisiae Sir2p is associated with several active genes and is excluded from heterochromatin. High-resolution, genome-wide maps of target loci of chromatin proteins ('chromatin profiles') provide new insights into chromatin structure and gene regulation.     

A tiling resolution DNA microarray with complete coverage of the human genome

We constructed a tiling resolution array consisting of 32,433 overlapping BAC clones covering the entire human genome. This increases our ability to identify genetic alterations and their boundaries throughout the genome in a single comparative genomic hybridization (CGH) experiment. At this tiling resolution, we identified minute DNA alterations not previously reported. These alterations include microamplifications and deletions containing oncogenes, tumor-suppressor genes and new genes that may be associated with multiple tumor types. Our findings show the need to move beyond conventional marker-based genome comparison approaches, that rely on inference of continuity between interval markers. Our submegabase resolution tiling set for array CGH (SMRT array) allows comprehensive assessment of genomic integrity and thereby the identification of new genes associated with disease.     

Diagnostic moléculaire de la résistance de Mycobacterium tuberculosis aux antituberculeux

The development of new technical tools for molecular biology has modified the methods used for the identification of resistance in Mycobacterium tuberculosis. Although the proportion method generally remains the reference method, more rapid and sophisticated techniques are now available, such as PCR-SSCP analysis, LiPA hybridization and DNA sequencing. At present, PCR-SSCP analysis is no longer used in routine. The INNO-LiPA assay, which is well adapted to routine, allows the rapid determination of rifampin resistance, but is not developed yet for detecting resistance to other antimycobacterial drugs. DNA sequencing is a powerful tool for the detection of resistance to rifampin, pyrazinamide and fluoroquinolones, but not to isoniazid. However, the technique requires specific facilities which are very costly. Finally, the development of high-density oligonucleotide arrays that can be used to rapidly examine large amounts of DNA sequences could allow to simultaneously investigate a large number of mechanisms of resistance. This new approach represents a very promising alternative for the rapid analysis of genomic regions involved in drug resistance.     

Experimentally-derived haplotypes substantially increase the efficiency of linkage disequilibrium studies.

The study of complex genetic traits in humans is limited by the expense and difficulty of ascertaining populations of sufficient sample size to detect subtle genetic contributions to disease. Here we introduce an application of a somatic cell hybrid construction strategy called conversion that maximizes the genotypic information from each sampled individual. The approach permits direct observation of individual haplotypes, thereby eliminating the need for collecting and genotyping DNA from family members for haplotype-based analyses. We describe experimental data that validate the use of conversion as a whole-genome haplotyping tool and evaluate the theoretical efficiency of using conversion-derived haplotypes instead of conventional genotypes in the context of haplotype-frequency estimation. We show that, particularly when phenotyping is expensive, conversion-based haplotyping can be more efficient and cost-effective than standard genotyping.     

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Microarray analysis has become a widely used tool for the generation of gene expression data on a genomic scale. Although many significant results have been derived from microarray studies, one limitation has been the lack of standards for presenting and exchanging such data. Here we present a proposal, the Minimum Information About a Microarray Experiment (MIAME), that describes the minimum information required to ensure that microarray data can be easily interpreted and that results derived from its analysis can be independently verified. The ultimate goal of this work is to establish a standard for recording and reporting microarray-based gene expression data, which will in turn facilitate the establishment of databases and public repositories and enable the development of data analysis tools. With respect to MIAME, we concentrate on defining the content and structure of the necessary information rather than the technical format for capturing it.     

CEP152 is a genome maintenance protein disrupted in Seckel syndrome

Functional impairment of DNA damage response pathways leads to increased genomic instability. Here we describe the centrosomal protein CEP152 as a new regulator of genomic integrity and cellular response to DNA damage. Using homozygosity mapping and exome sequencing, we identified CEP152 mutations in Seckel syndrome and showed that impaired CEP152 function leads to accumulation of genomic defects resulting from replicative stress through enhanced activation of ATM signaling and increased H2AX phosphorylation.     

Long-range polony haplotyping of individual human chromosome molecules

We report a method for multilocus long-range haplotyping on human chromosome molecules in vitro based on the DNA polymerase colony (polony) technology. By immobilizing thousands of intact chromosome molecules within a polyacrylamide gel on a microscope slide and performing multiple amplifications from single molecules, we determined long-range haplotypes spanning a 153-Mb region of human chromosome 7 and found evidence of rare mitotic recombination events in human lymphocytes. Furthermore, the parallel nature of DNA polony technology allows efficient haplotyping on pooled DNAs from a population on one slide, with a throughput three orders of magnitudes higher than current molecular haplotyping methods. Linkage disequilibrium statistics established by our pooled DNA haplotyping method are more accurate than statistically inferred haplotypes. This haplotyping method is well suited for candidate gene-based association studies as well as for investigating the pattern of recombination in mammalian cells.     

Expérience d'un laboratoire d'hôpital général en biologie moléculaire

Since redistribution of activities between the laboratories of the CHITS, we have developed a department of Virology and Molecular Biology which has taken on considerable importance. Many infectious agents can be explored in our lab using molecular biology methodologies: HCV with viral RNA detection whose indications are now clearly defined, eventualy completed by genotyping and quantitation ; HBV whose quantitation by a sensitive quantitative PCR allows the detection of pre-C mutants, the differentiation of asymptomatic and healthy carriers, and the monitoring of therapy ; CMV for which it is difficult to predict evolution to CMV disease with usual methologies; plasmatic DNA could become a choice marker ; HIV, whose RNA quantitation in plasma has became a major tool for monitoring therapy, with a cut off of 20 copies per ml for the boosted assay (HIV Monitor, Roche). Viral residual replication in lymphoid tissue can also be assessed. Proviral DNA quantitation in lymphocytes may reflect infected cell pools. In case of therapeutic failure, genotypic resistance to antiretroviral drugs has to be tested by looking for the presence of mutations on the target genes: RT and protease. LiPA HIV-RT and sequencing are the main technics used ; Papillomaviruses and Chlamydia trachomatis frequently at the origin of STDs, infectious agents responsible for opportunist infections in AIDS, neurotropic viruses (Enteroviruses, HSV, VZV, EBV…). Others area are concerned like haematology with R506Q mutation detection, associated with thrombotic diseases. Sequencing methodologies should allow to increase our areas of work.