Alu-PCR Approach to Isolating NotI-Linking Clones from the 3p14-p21 Region Frequently Deleted in Renal Cell Carcinoma

In the mammalian genome CpG islands are associated with functional genes and cloning of these islands could be an alternative approach for cloning functional genes. Recently we have developed a new approach for cloning CpG islands and constructing NotI linking libraries. We have initiated the construction of a NotI restriction map for chromosome 3, especially focusing on the rearrangements in the 3p14-p21 region, which are associated with different malignancies. CpG islands from this region are useful for isolation of candidate tumor suppressor genes that map to this region and for isolating NotI-linking clones from 3p14-p21 for mapping purposes. Here we suggest a modification of Alu-PCR as an approach to isolating Not I sites (e.g., CpG islands) from defined regions of the chromosome. Instead of using whole chromosomal DNA for Alu-PCR, we have used representative NotI-linking libraries from hybrid cell lines containing either whole or deleted human chromosome 3 (MCH903.1 and MCH924.4, respectively). This decreases the complexity of the Alu-PCR products 10-100 times compared to the whole human genome. Using this modification, we can isolate NotI-linking clones, which are natural markers on the chromosome, rather than random genomic fragments. Among eight clones selected by this method, seven were from the region deleted in MCH924.4. The results clearly demonstrate the feasibility of Alu-PCR for isolating CpG islands from defined regions of the genome.     

CpG islands, genes and isochores in the genomes of vertebrates

We have shown that human genes associated with CpG islands increase in number as they increase in % of guanine + cytosine (GC) levels, and that most genes associated with CpG islands are located in the GC-richest compartment of the human genome. This is an independent confirmation of the concentration gradient of CpG islands (detected as HpaII tiny fragments, or HTF) which was demonstrated in the genome of warm-blooded vertebrates [A?ssani and Bernardi, Gene 106 (1991) 173-183]. We then reassessed the location of CpG islands using the data currently available and confirmed that CpG islands are most frequently located in the 5'-flanking sequences of genes and that they overlap genes to variable extents. We have shown that such extents increase with the increasing GC levels of genes, the GC-richest genes being completely included in CpG islands. Under such circumstances, we have investigated the properties of the 'extragenic' CpG islands located in the 5'-flanking segments of homologous genes from both warm- and cold-blooded vertebrates. We have confirmed that, in cold-blooded vertebrates, CpG islands are often absent; when present, they have lower GC and CpG levels; the latter attain, however, statistically expected values. Finally, we have shown that CpG doublets increase with the increasing GC of exons, introns and intergenic sequences (including 'extragenic' CpG islands) in the genomes from both warm- and cold-blooded vertebrates. The correlations found are the same for both classes of vertebrates, and are similar for exons, introns and intergenic sequences (including 'extragenic' CpG islands). The findings just outlined indicate that the origin and evolution of CpG islands in the vertebrate genome are associated with compositional transitions (GC increases) in genes and isochores.     

Particle swarm optimization with reinforcement learning for the prediction of CpG islands in the human genome

Background

Regions with abundant GC nucleotides, a high CpG number, and a length greater than 200 bp in a genome are often referred to as CpG islands. These islands are usually located in the 5′ end of genes. Recently, several algorithms for the prediction of CpG islands have been proposed.

Methodology/Principal Findings

We propose here a new method called CPSORL to predict CpG islands, which consists of a complement particle swarm optimization algorithm combined with reinforcement learning to predict CpG islands more reliably. Several CpG island prediction tools equipped with the sliding window technique have been developed previously. However, the quality of the results seems to rely too much on the choices that are made for the window sizes, and thus these methods leave room for improvement.

Conclusions/Significance

Experimental results indicate that CPSORL provides results of a higher sensitivity and a higher correlation coefficient in all selected experimental contigs than the other methods it was compared to (CpGIS, CpGcluster, CpGProd and CpGPlot). A higher number of CpG islands were identified in chromosomes 21 and 22 of the human genome than with the other methods from the literature. CPSORL also achieved the highest coverage rate (3.4%). CPSORL is an application for identifying promoter and TSS regions associated with CpG islands in entire human genomic. When compared to CpGcluster, the islands predicted by CPSORL covered a larger region in the TSS (12.2%) and promoter (26.1%) region. If Alu sequences are considered, the islands predicted by CPSORL (Alu) covered a larger TSS (40.5%) and promoter (67.8%) region than CpGIS. Furthermore, CPSORL was used to verify that the average methylation density was 5.33% for CpG islands in the entire human genome.     

The length of CpG islands is associated with the distribution of Alu and L1 retroelements

Alu and L1 retroelements have been suggested to initiate the spread of CpG methylation. In this study, the spread of CpG methylation was estimated based on the distance between the CpG islands and the nearest retroelements. All human genes (23,116) were examined and the correlations between the length of the CpG islands and the distance and density of the confronting retroelements were examined using nonoverlapping 5-kb windows. There was a linear relationship between the length of the CpG islands and the density of the Alu elements and an inverse relationship between the CpG islands and the L1 elements located more distantly, suggesting a suppressive effect of the Alu's on the spread of L1 methylation. Methylation analysis of the transitional CpG sites between the CpG islands and the nearest retroelements upstream of 16 genes was then carried out using DNA preparations from 11 different human tissues. Methylation-variable transitional CpGs were observed for the selected genes and the different tissues.     

Restriction landmark genome scanning

Restriction landmark genome scanning (RLGS) is a quantitative approach that is uniquely suited for simultaneously assessing the methylation status of thousands of CpG islands. RLGS separates radiolabeled NotI fragments (or other CpG-containing restriction enzyme fragments) in two dimensions and allows distinction of single-copy CpG islands from multicopy CpG-rich sequences. The methylation sensitivity of the endonuclease activity of NotI provides the basis for differential methylation analysis, and NotI sites occur primarily in CpG islands and genes. RLGS has been used to identify novel imprinted genes, novel targets of DNA amplification and methylation in human cancer, and to identify deletion, methylation, and gene amplification in a mouse model of tumorigenesis. Such massively parallel analyses are critical for pattern recognition within and between tumor types, and for estimating the overall influence of CpG island methylation on the cancer cell genome. RLGS is also a useful method for integrating methylation analyses with high-resolution gene copy number analyses.     

Gene-associated CpG islands in plants as revealed by analyses of genomic sequences

We screened plant genome sequences, primarily from rice and Arabidopsis thaliana, for CpG islands, and identified DNA segments rich in CpG dinucleotides within these sequences. These CpG-rich clusters appeared in the analysed sequences as discrete peaks and occurred at the frequencies of one per 4.7 kb in rice and one per 4.0 kb in A. thaliana. In rice and A. thaliana, most of the CpG-rich clusters were associated with genes, which suggests that these clusters are useful landmarks in genome sequences for identifying genes in plants with small genomes. In contrast, in plants with larger genomes, only a few of the clusters were associated with genes. These plant CpG-rich clusters satisfied the criteria used for identifying human CpG islands, which suggests that these CpG clusters may be regarded as plant CpG islands. The position of each island relative to the 5'-end of its associated gene varied considerably. Genes in the analysed sequences were grouped into five classes according to the position of the CpG islands within their associated genes. A large proportion of the genes belonged to one of two classes, in which a CpG island occurred near the 5'-end of the gene or covered the whole gene region. The position of a plant CpG island within its associated gene appeared to be related to the extent of tissue-specific expression of the gene; the CpG islands of most of the widely expressed rice genes occurred near the 5'-end of the genes.     

CpG islands: features and distribution in the genomes of vertebrates

We have investigated the distribution of unmethylated CpG islands in vertebrate genomes fractionated according to their base composition. Genomes from warm-blooded vertebrates (man, mouse and chicken) are characterized by abundant CpG islands, whose frequency increases in DNA fractions of increasing % of guanine + cytosine; % G + C (GC), in parallel with the distribution of genes and CpG doublets. Small, yet significant, differences in the distribution of CpG islands were found in the three genomes. In contrast, genomes from cold-blooded vertebrates (two reptiles, one amphibian, and two fishes) were characterized by an extreme scarcity or absence of CpG islands (detected in these experiments as HpaII tiny fragments or HTF). CpG islands associated with homologous genes from cold- and warm-blooded vertebrates were then compared by analyzing CpG frequencies, GC levels, HpaII sites, rare-cutter sites and G/C boxes (GGGGCGGGGC and closely related motifs) in sequences available in gene banks. Small, yet significant, differences were again detected among the CpG islands associated with homologous genes from warm-blooded vertebrates, in that CpG islands associated with mouse or rat genes often showed low CpG and/or GC levels, as well as low numbers of HpaII sites, rare-cutter sites and G/C boxes, compared to homologous human genes; more rarely, CpG islands were just absent. As far as cold-blooded vertebrates were concerned, a number of genes showed CpG islands, which exhibited a much lower frequency of CpG doublets than that found in CpG islands of warm-blooded vertebrates, but still approached the statistically expected frequency; none of the other features of CpG islands associated with genes from warm-blooded vertebrates were present. Other genes did not show any associated CpG islands, unlike their homologues from warm-blooded vertebrates.     

Segmental distribution of genes harboring a CpG island-like region on rice chromosomes

In plant genomes, there exist discrete regions rich in CpG dinucleotides, namely CpG clusters. In rice, most of these CpG clusters are associated with genes. Rice genes are grouped into one of the five classes according to the position of an associated CpG cluster. Among them, class 1 genes, which harbor a CpG cluster at the 5′-terminus, share similarities with human genes having CpG islands. In the present study, by analyzing plant genome sequence data, primarily from rice, we investigated the chromosomal distribution of genes of each class, mainly class 1 genes. Class 1 genes were not uniformly distributed across the rice genome, but were clustered into discrete chromosomal segments. EST-based analysis of the distribution of expressed genes indicates that this segmental distribution of class 1 genes caused a preferential distribution of expressed genes within class 1 gene-rich segments. We then compared the methylation status of genes of each class to examine the possibility that differential DNA methylation, if any, is relevant to the observed differential expression level of genes inside and outside the class 1 segments. The difference in the methylation level between these genes was revealed to be fairly small, which does not support the above-mentioned possibility. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

Mammalian cells acquire epigenetic hallmarks of human cancer during immortalization

Progression to malignancy requires that cells overcome senescence and switch to an immortal phenotype. Thus, exploring the genetic and epigenetic changes that occur during senescence/immortalization may help elucidate crucial events that lead to cell transformation. In the present study, we have globally profiled DNA methylation in relation to gene expression in primary, senescent and immortalized mouse embryonic fibroblasts. Using a high-resolution genome-wide mapping technique, followed by extensive locus-specific validation assays, we have identified 24 CpG islands that display significantly higher levels of CpG methylation in immortalized cell lines as compared to primary murine fibroblasts. Several of these hypermethylated CpG islands are associated with genes involved in the MEK–ERK pathway, one of the most frequently disrupted pathways in cancer. Approximately half of the hypermethylated targets are developmental regulators, and bind to the repressive Polycomb group (PcG) proteins, often in the context of bivalent chromatin in mouse embryonic stem cells. Because PcG-associated aberrant DNA methylation is a hallmark of several human malignancies, our methylation data suggest that epigenetic reprogramming of pluripotency genes may initiate cell immortalization. Consistent with methylome alterations, global gene expression analysis reveals that the vast majority of genes dysregulated during cell immortalization belongs to gene families that converge into the MEK–ERK pathway. Additionally, several dysregulated members of the MAP kinase network show concomitant hypermethylation of CpG islands. Unlocking alternative epigenetic routes for cell immortalization will be paramount for understanding crucial events leading to cell transformation. Unlike genetic alterations, epigenetic changes are reversible events, and as such, can be amenable to pharmacological interventions, which makes them appealing targets for cancer therapy when genetic approaches prove inadequate.     

Sequence context analysis of 8.2 million single nucleotide polymorphisms in the human genome

We analyzed n-mers (n=3-8) in the local environment of 8,249,446 human SNPs and compared their distribution with that in the genome reference sequences. The results revealed that the short sequences, which contained at least one CpG dinucleotide, occurred more frequently in the local SNP sequences than in the genome sequences. To exclude the hypermutability effect of the methylated CpG dinucleotides on the sequence context of SNPs, we examined the distribution patterns for each of the six categories of substitution. We observed the similar pattern (i.e., CpG-containing n-mers vs. non-CpG-containing n-mers) in SNP categories A/G, C/T and C/G but the opposite pattern in category A/T. We next identified 34,928 putative CpG islands in the human genome and located 133,591 SNPs within these islands. In the CpG islands, CpG SNPs were 3.92-fold less prevalent relative to the presence of CpG dinucleotides. Conversely, in the human genome, the frequency of CpG dinucleotides at the polymorphic sites was 6.09 times that in the genome reference sequences. These results support the previous views of mutational suppression at the CpG sites in the CpG islands and hypermutability of the methylated CpG dinucleotides that are prevalent in the non-CpG island sequences in the human genome. Our study represents a comprehensive investigation of the sequence context of SNPs in the human genome and in human CpG islands.