Brain nuclear DNA survives cardiac arrest and reperfusion.

Iron-mediated peroxidation of brain lipids is known to occur during reperfusion following cardiac arrest. Since in vitro damage to DNA is caused by similar iron-dependent peroxidation, we tested whether free radical damage to genomic DNA also develops during reperfusion following cardiac arrest and resuscitation. Genomic DNA was isolated from the cerebral cortex in (i) normal dogs, (ii) dogs subjected to a 20-min cardiac arrest, and (iii) dogs resuscitated from a 20-min cardiac arrest and then allowed to reperfuse for 2 or 8 h. DNA strand nicks were evaluated by in vitro labeling of newly created 3' and 5' termini. DNA base damage was evaluated utilizing reaction with piperidine prior to labeling of 5' termini. The 3' DNA termini were labeled before and after digestion with exonuclease III, and the 5' DNA termini were labeled before and after treatment with piperidine. In vitro experiments with genomic DNA damaged by oxygen radicals verified that these labeling methods identified radical damage. In the experimental animal groups, terminal incorporation and electrophoretic mobility of brain nuclear DNA are not significantly changed either by 20 min of complete brain ischemia or during the first 8 h of reperfusion. We conclude that genomic DNA is not extensively damaged during cardiac arrest and early reperfusion, and therefore such DNA damage does not appear to be an important early aspect of the neurologic injury that accompanies cardiac arrest and resuscitation.     

Identification of DNA methylation differences during tumorigenesis by methylation-sensitive arbitrarily primed polymerase chain reaction

The ability to detect methylation changes associated with oncogenic transformation is of critical importance in understanding how DNA methylation may contribute to tumorigenesis. We have developed a simple and reproducible fingerprinting method called methylation-sensitive arbitrarily primed polymerase chain reaction (AP-PCR) to screen for DNA methylation changes. This technique relies on digesting genomic DNA with methylation-sensitive and -insensitive restriction enzymes (e.g., HpaII and MspI) prior to AP-PCR amplification. Matched normal and tumor DNAs were compared to identify differential methylation. After the PCR products were resolved on high-resolution polyacrylamide gels, regions of genomic DNA that showed hypo- and hypermethylation associated with tumors were detected. These fragments were then isolated, cloned, and sequenced. Novel CpG islands were found to be frequently hypermethylated in bladder and colon tumors. We have demonstrated that this technique is a rapid and efficient method that can be used to screen for altered methylation patterns in genomic DNA and to isolate specific sequences associated with these changes.     

Array-MAPH: a methodology for the detection of locus copy-number changes in complex genomes

High-throughput genome-wide screening methods to detect subtle genomic imbalances are extremely important for diagnostic genetics and genomics. Here, we provide a detailed protocol for a microarray-based technique, applying the principle of multiplex amplifiable probe hybridization (MAPH). Methodology and software have been developed for designing unique PCR-amplifiable sequences (400-600 bp) covering any genomic region of interest. These sequences are amplified, cloned and spotted onto arrays (targets). A mixture of the same sequences (probes) is hybridized to genomic DNA immobilized on a membrane. Bound probes are recovered and quantitatively amplified by PCR, labeled and hybridized to the array. The procedure can be completed in 4-5 working days, excluding microarray preparation. Unlike array-comparative genomic hybridization (array-CGH), test DNA of specifically reduced complexity is hybridized to an array of identical small amplifiable target sequences, resulting in increased hybridization specificity and higher potential for increasing resolution. Array-MAPH can be used for detection of small-scale copy-number changes in complex genomes, leading to genotype-phenotype correlations and the discovery of new genes.     

Superhelical duplex destabilization and the recombination position effect

The susceptibility to recombination of a plasmid inserted into a chromosome varies with its genomic position. This recombination position effect is known to correlate with the average G+C content of the flanking sequences. Here we propose that this effect could be mediated by changes in the susceptibility to superhelical duplex destabilization that would occur. We use standard nonparametric statistical tests, regression analysis and principal component analysis to identify statistically significant differences in the destabilization profiles calculated for the plasmid in different contexts, and correlate the results with their measured recombination rates. We show that the flanking sequences significantly affect the free energy of denaturation at specific sites interior to the plasmid. These changes correlate well with experimentally measured variations of the recombination rates within the plasmid. This correlation of recombination rate with superhelical destabilization properties of the inserted plasmid DNA is stronger than that with average G+C content of the flanking sequences. This model suggests a possible mechanism by which flanking sequence base composition, which is not itself a context-dependent attribute, can affect recombination rates at positions within the plasmid.     

Restriction site tagged (RST) microarrays: a novel technique to study the species composition of complex microbial systems

We have developed a new type of microarray, restriction site tagged (RST), for example NotI, microarrays. In this approach only sequences surrounding specific restriction sites (i.e. NotI linking clones) were used for generating microarrays. DNA was labeled using a new procedure, NotI representation, where only sequences surrounding NotI sites were labeled. Due to these modifications, the sensitivity of RST microarrays increases several hundred-fold compared to that of ordinary genomic microarrays. In a pilot experiment we have produced NotI microarrays from Gram-positive and Gram-negative bacteria and have shown that even closely related Escherichia coli strains can be easily discriminated using this technique. For example, two E.coli strains, K12 and R2, differ by less than 0.1% in their 16S rRNA sequences and thus the 16S rRNA sequence would not easily discriminate between these strains. However, these strains showed distinctly different hybridization patterns with NotI microarrays. The same technique can be adapted to other restriction enzymes as well. This type of microarray opens the possibility not only for studies of the normal flora of the gut but also for any problem where quantitative and qualitative analysis of microbial (or large viral) genomes is needed.     

BIS 1, a major component of the cereal genome and a tool for studying genomic organization

We report the cloning and characterization of an element (BIS 1) in barley. Related sequences were also found in wheat and rye genomes. BIS 1-related sequences may be some of the more frequent of the complex repeats in the barley genome, and their dispersion throughout the barley genome suggests that they are capable of both mobility and amplification. BIS 1 sequences have been used to study the gross structure of the barley genome. These studies indicate that the genome may be formed from larger genomic structures of tens of kilobases which may be repeated. Surprisingly, these studies also show that these large genomic structures also occur in similar proportions and at similar size distribution in the wheat genome.     

Genome redundancy and plasticity within ancient and recent Brassica crop species

The crop species within the genus Brassica have highly replicated genomes. Three base 'diploid' species, Brassica oleracea , B. nigra and B. rapa , are likely ancient polyploids, and three derived allopolyploid species, B. carinata , B. juncea and B. napus , are created from the interspecific hybridization of these base genomes. The base Brassica genome is thought to have hexaploid ancestry, and both recent and ancient polyploidization events have been proposed to generate a large number of genome rearrangements and novel genetic variation for important traits. Here, we revisit and refine these hypotheses. We have examined the B. oleracea linkage map using the Arabidopsis thaliana genome sequence as a template and suggest that there is strong evidence for genome replication and rearrangement within the base Brassicas, but less evidence for genome triplication. We show that novel phenotypic variation within the base Brassicas can be achieved by replication of a single gene, BrFLC , that acts additively to influence flowering time. Within the derived allopolyploids, intergenomic heterozygosity is associated with higher seed yields. Some studies have reported that de novo genomic variation occurs within derived polyploid genomes, whereas other studies have not detected these changes. We discuss reasons for these different findings. Large translocations and tetrasomic inheritance can explain some but not all genomic changes within the polyploids. Transpositions and other small-scale sequence changes probably also have contributed to genomic novelty. Our results have shown that the Brassica genomes are remarkably plastic, and that polyploidy generates novel genetic variation through gene duplication, intergenomic heterozygosity and perhaps epigenetic change.  © 2004 The Linnean Society of London, Biological Journal of the Linnean Society , 2004, 82 , 665–674.     

A novel method to calculate the G+C content of genomic DNA sequences.

The base composition of a DNA fragment or genome is usually measured by the proportion of A+T or G+C in the sequence. The G+C content along genomic sequences is usually calculated using an overlapping or non-overlapping sliding window method. The result and accuracy of such an approach depends on the size of the window and the moving distance adopted. In this paper, a novel windowless technique to calculate the G+C content of genomic sequences is proposed. By this method, the G+C content can be calculated at different "resolution". In an extreme case, the G+C content may be computed at a specific point, rather than in a window of finite size. This is particularly useful to analyze the fine variation of base composition along genomic sequences. As the first example, the variation of G+C content along each of 16 yeast chromosomes is analyzed. The G+C-rich regions with length larger than 5 kb sequences are detected and listed in details. It is found that each chromosome consists of several G+C-rich and G+C-poor regions alternatively, i.e., a mosaic structure. Another example is to analyze the G+C content for each of the two chromosomes of the Vibrio cholerae genome. Based on the variations of the G+C content in each chromosome, it is shown that some fragments in the Vibrio cholerae genome may have been transferred from other species. Especially, the position and size of the large integron island on the smaller chromosome was precisely predicted. This method would be a useful tool for analyzing genomic sequences.