A new method for rapid and sensitive detection of bromodeoxyuridine in DNA-replicating cells

A new flow cytometric technique, involving differential fluorescence analysis of two DNA-binding fluorochromes, was used to quantify cellular incorporation of the base analog, bromodeoxyuridine (BrdU), into DNA over short time periods. During analysis of stained cells, the blue fluorescence signal of Hoechst 33342, which is quenched by BrdU-substituted DNA, was subtracted, on a cell by cell basis, from the green-yellow fluorescence signal of mithramycin, which remained stoichiometric to cellular DNA content. Bivariate contour profiles obtained for CHO cells pulse-labeled for 30 min showed that fluorescence quenching of Hoechst 33342 in BrdU-labeled, S phase cells produced fluorescence difference signals that were significantly greater than the difference signals from G1 and G2 + M phase cells. Analysis of L1210 cells demonstrated that the amount of BrdU detected was proportional to the length of the labeling period. The novel technique is simple, rapid, and mild; it produces minimal cell loss and does not significantly affect cellular moieties such as DNA, chromatin, or RNA.     

A novel technique for the identification of CpG islands exhibiting altered methylation patterns (ICEAMP)

Aberrant CpG methylation changes occurring during tumour progression include the loss (hypomethylation) and gain (hypermethylation) of methyl groups. Techniques currently available for examining such changes either require selection of a region, then examination of methylation changes, or utilise methylation-sensitive restriction enzymes to identify an alteration. We describe here a novel method that identifies genomic regions as a consequence of altered methylation during tumourigenesis. A methyl-CpG binding domain column isolates methylated GC-rich sequences from both tumours and surrounding normal tissue. Subsequent subtractive hybridisation removes sequences common to both, leaving only methylated sequences unique to the tumour. Libraries of sequences generated using DNA derived from a breast tumour (histological grade; poorly differentiated) as ‘tester’ and from matched normal tissue as ‘driver’ were examined; 26% of clones had the sequence criteria of a CpG island (CGI). Analysis using the bisulfite technique revealed that a number of these sequences were methylated in tumour DNA relative to the normal control. We have therefore demonstrated the ability of this technique, the identification of CGI exhibiting altered methylation patterns (ICEAMP), to isolate tumour-specific methylated GC-rich sequences. This will allow a comprehensive identification of methylation changes during tumourigenesis and will lead to a better understanding of the processes involved.     

Distribution of DNA methylation,CpGs, and CpG islands in human isochores

DNA methylation is a major epigenetic modification of the genome that affects basic biological functions, such as gene expression and cell development. We used the human genome sequences and the DNA methylation data that are available in order to establish a map of the levels of GC and methylation in isochores. We also looked for the correlations that hold between GC levels and the distribution of the (1) dinucleotide CpG, (2) ratio 5mC/CpG, and (3) CpG islands. Our results show that methylation levels, CpG frequencies, and the density of CpG islands are positively correlated with the GC level of isochores. In contrast, the correlation between the 5mC/CpG ratio and GC is a negative one because the increase in methylation lags behind that of CpG, to reach a plateau in the GC-richest, gene-richest isochore families H2 and H3. In conclusion, there are more CpG targets that remain unmethylated in the GC-richest, gene-richest isochores in comparison with the other isochores. This conclusion supports the idea that the widespread methylation under consideration here has a general inhibitory effect on gene expression.     

A statistical method for excluding non-variable CpG sites in high-throughput DNA methylation profiling

Background  

High-throughput DNA methylation arrays are likely to accelerate the pace of methylation biomarker discovery for a wide variety of diseases. A potential problem with a standard set of probes measuring the methylation status of CpG sites across the whole genome is that many sites may not show inter-individual methylation variation among the biosamples for the disease outcome being studied. Inclusion of these so-called "non-variable sites" will increase the risk of false discoveries and reduce statistical power to detect biologically relevant methylation markers.     

CpG islands: Algorithms and applications in methylation studies

Methylation occurs frequently at 5’-cytosine of the CpG dinucleotides in vertebrate genomes; however, this epigenetic feature is rarely observed in CpG islands (CGIs) or CpG clusters in the promoter regions of genes. Aberrant methylation of the promoter-associated CGIs might influence gene expression and cause carcinogenesis. Because of the functional importance, multiple algorithms have been available for identifying CGIs in a genome or a sequence. They can be categorized into the traditional algorithms (e.g., Gardiner-Garden and Frommer (1987), Takai and Jones (2002), and CpGPRoD (2002)) or statistical property based algorithms (CpGcluster (2006) and CG cluster (2007)). We reviewed the features of these algorithms and evaluated their performance on identifying functional CGIs using genome-wide methylation data. Moreover, identification of CGIs is an initial step in many recent studies for predicting methylation status as well as in the design of methylation detection platforms. We reviewed the benchmarks and features used in these studies.     

A rapid and sensitive method for the detection of histone peptides

Fluorescamine has been used to obtain a peptide map of a mixture of histones (H₃, H₂A, H₂B, and H₄) prepared from oocytes of Xenopus laevis. Fluorescamine was found to be more sensitive than o-phthalaldehyde or ninhydrin-Cd for the detection of peptide fragments obtained from tryptic digestion of oocyte histones of X. laevis and the peptic digestion of the β chain of insulin. Using the β chain of insulin for a comparison, the 8 major peptide fragments could be separated by electrophoresis within 30 min and were detectable at the picomols level. Some 70 peptide spots of X. laevis oocyte histones were resolved, thus permitting the analysis of this complex mixture of polypeptides without the need for prior separation.     

A new rapid and sensitive detection method for cereulide-producing Bacillus cereus using a cycleave real-time PCR

Aims:  To develop a rapid and sensitive detection method for cereulide-producing Bacillus cereus using a real-time PCR based on the sequence of the cereulide synthesis gene.
Methods and Results:  A total of 56 cereulide-producing B. cereus and 15 cereulide-negative strains were tested. We designed specific primers and probes for the detection of cereulide-producing B. cereus . The new cycleave real-time PCR assay gave positive detections for all of 56 cereulide-producing B. cereus strains, whereas all other strains including 10 systemic infectious disease strains were negative. No cross-reaction was observed and the internal control showed positive for all samples.
Conclusions:  The performance of the assay was highly reproducible and specific for cereulide-producing B. cereus . The positive detection was obtained within only 2 h for cereulide-producing strains. The detection limit of this assay was evaluated as 10⁴ CFU g⁻¹ food sample. The assay also confirmed that strains from systemic infectious cases were cereulide-negative.
Significance and Impact of the Study:  This assay is applicable for contaminated foods as well as specimens from infectious disease cases. We recommend this assay for routine examination of suspected B. cereus food poisonings.     

Evolutionary conservation of DNA methylation in CpG sites within ultraconserved noncoding elements

Ultraconserved noncoding elements (UCNEs) constitute less than 1 Mb of vertebrate genomes and are impervious to accumulating mutations. About 4000 UCNEs exist in vertebrate genomes, each at least 200 nucleotides in length, sharing greater than 95% sequence identity between human and chicken. Despite extreme sequence conservation over 400 million years of vertebrate evolution, we show both ordered interspecies and within-species interindividual variation in DNA methylation in these regions. Here, we surveyed UCNEs with high CpG density in 56 species finding half to be intermediately methylated and the remaining near 0% or 100%. Intermediately methylated UCNEs displayed a greater range of methylation between mouse tissues. In a human population, most UCNEs showed greater variation than the LINE1 transposon, a frequently used epigenetic biomarker. Global methylation was found to be inversely correlated to hydroxymethylation across 60 vertebrates. Within UCNEs, DNA methylation is flexible, conserved between related species, and relaxed from the underlying sequence selection pressure, while remaining heritable through speciation.     

DNA methylation and the frequency of CpG in animal DNA.

An analysis of nearest neighbour dinucleotide frequencies and the level of DNA methylation in animals strongly supports the suggestion that 5-methylcytosine (5mC) tends to mutate abnormally frequently to T. This tendency is the likely cause of the CpG deficiency in heavily methylated genomes.     

A rapid and sensitive method for the screening of DNA intercalating antibiotics

An improved, rapid and inexpensive gel mobility shift assay was developed for the screening of anthracycline antibiotics. The assay based on the intercalation activity of these molecules into dsDNA was used to assess the activity of partially purified antibiotics. Detection limits were of 0.1 ng ml^–1 with an average run time of 2 h. The assay is potentially useful for high throughput screening in bioprospecting, for monitoring fermentation production phases and downstream purification process.     

CpG PatternFinder: a Windows-based utility program for easy and rapid identification of the CpG methylation status of DNA

The bisulfite genomic sequencing technique is one of the most widely used techniques to study sequence-specific DNA methylation because of its unambiguous ability to reveal DNA methylation status to the order of a single nucleotide. One characteristic feature of the bisulfite genomic sequencing technique is that a number of sample sequence files will be produced from a single DNA sample. The PCR products of bisulfite-treated DNA samples cannot be sequenced directly because they are heterogeneous in nature; therefore they should be cloned into suitable plasmids and then sequenced. This procedure generates an enormous number of sample DNA sequence files as well as adding extra bases belonging to the plasmids to the sequence, which will cause problems in the final sequence comparison. Finding the methylation status for each CpG in each sample sequence is not an easy job. As a result CpG PatternFinder was developed for this purpose. The main functions of the CpG PatternFinder are: (i) to analyze the reference sequence to obtain CpG and non-CpG-C residue position information. (ii) To tailor sample sequence files (delete insertions and mark deletions from the sample sequence files) based on a configuration of ClustalW multiple alignment. (iii) To align sample sequence files with a reference file to obtain bisulfite conversion efficiency and CpG methylation status. And, (iv) to produce graphics, highlighted aligned sequence text and a summary report which can be easily exported to Microsoft Office suite. CpG PatternFinder is designed to operate cooperatively with BioEdit, a freeware on the internet. It can handle up to 100 files of sample DNA sequences simultaneously, and the total CpG pattern analysis process can be finished in minutes. CpG PatternFinder is an ideal software tool for DNA methylation studies to determine the differential methylation pattern in a large number of individuals in a population. Previously we developed the CpG Analyzer program; CpG PatternFinder is our further effort to create software tools for DNA methylation studies.