Simple screening method for differentially methylated regions of the genome using a small number of cells

Genomic DNA methylation is a major epigenetic mechanism controlling the expression of genetic information. Therefore, identifying regions of the genome that are differentially methylated in different cells is a useful strategy for the study of biological phenomena. To date, several useful screening methods have been established for identifying differentially methylated genomic regions. However, it is impossible to use these methods in fields of study in which it is difficult to obtain a large number of uniform cells, because considerable amounts of genomic DNA are required. Given this situation, we developed a method for preparing large genomic DNA from a small number of cells, and a simple and highly sensitive method for screening for differentially methylated sites. Combined, these two methods comprise a simple screening method, which we named "Differential Methylation Site Scanning" (DMSS), for identifying differentially methylated regions of the genome from a small number of cells. Just 10 cells are sufficient for the method described here.     

Mining endonuclease cleavage determinants in genomic sequence data

Homing endonucleases have great potential as tools for targeted gene therapy and gene correction, but identifying variants of these enzymes capable of cleaving specific DNA targets of interest is necessary before the widespread use of such technologies is possible. We identified homologues of the LAGLIDADG homing endonuclease I-AniI and their putative target insertion sites by BLAST searches followed by examination of the sequences of the flanking genomic regions. Amino acid substitutions in these homologues that were located close to the target site DNA, and thus potentially conferring differences in target specificity, were grafted onto the I-AniI scaffold. Many of these grafts exhibited novel and unexpected specificities. These findings show that the information present in genomic data can be exploited for endonuclease specificity redesign.     

Genetic profile of acute myeloid leukemia

Understanding genomic events and the cascade of their effects in cell function is crucial for identifying distinct subsets of acute myeloid leukemia and developing new therapeutic strategies. Conventional cytogenetics, fluorescence in situ hybridization investigations and molecular studies have provided much information over the past few years. This review will focus on major genomic mechanisms in acute myeloid luekemia and on the genes implicated in the pathogenesis of specific subtypes.     

The awesome power of yeast biochemical genomics

A new genomic strategy for identifying the gene encoding any biochemical activity has recently been developed, in which an array of individual yeast strains expressing a genomic set of open reading frames fused to glutathione S-transferase can be assayed for a biochemical activity of interest. Designated 'biochemical genomics', this approach represents an innovative application of genomic information.     

Whole-mount in situ hybridization to mouse embryos

The mouse is well-established as the major animal model for the study of mammalian development. Rapid progress in large-scale cDNA and also genomic sequencing projects is identifying new mouse genes at an unprecedented rate. As a first step toward understanding the function of these novel genes, it is important to determine their developmental expression pattern. Here we provide a reliable, sensitive method for whole-mount in situ hybridization using the mouse embryo.     

Public involvement in pharmacogenomics research: a national survey on public attitudes towards pharmacogenomics research and the willingness to donate DNA samples to a DNA bank in Japan

To assess the attitudes of the Japanese general public towards pharmacogenomics research and a DNA bank for identifying genomic markers associated with ADRs and their willingness to donate DNA samples, we conducted a national survey for 1,103 Japanese adults from the general public, not a patient population. The response rate was 36.8%. The majority of the respondents showed a positive attitude towards pharmacogenomics research (81.0%) and a DNA bank (70.4%). Considering fictitious clinical situations such as taking medications and experiencing ADRs, the willingness to donate DNA samples when experiencing ADRs (61.7%) was higher than when taking medications (45.3%). Older generations were significantly associated with a decreased willingness to donate (OR = 0.45, CI 0.28–0.72 in 50s. OR = 0.49, CI: 0.31–0.77 in 60s). Positive attitudes towards pharmacogenomics research, a DNA bank, blood/bone marrow/organ donation were significantly associated with an increased willingness. However, the respondents had the following concerns regarding a DNA bank: the confidentiality of their personal information, the manner by which research results were utilized and simply the use of their own DNA for research. In order to attain public understanding to overcome these concerns, a process of public awareness should be put into place to emphasize the beneficial aspects of identifying genomic markers associated with ADRs and to address these concerns raised in our study. Further study is needed to assess the willingness of actual patients taking medications in real situations, since the respondents in our study were from the general public, not a patient population, and their willingness was assessed on the condition of assuming that they were patients taking medications.     

Linking porcine microsatellite markers to known genome regions by identifying their human orthologs.

Microsatellites, or tandem simple sequence repeats (SSRs), have become one of the most popular molecular markers in genome mapping because of their abundance across genomes and because of their high levels of polymorphism. However, information on which genes surround or flank them has remained very limited for most SSRs, especially in livestock species. In this study, an in silico comparative mapping approach was developed to link porcine SSRs to known genome regions by identifying their human orthologs. From a total of 1321 porcine microsatellites used in this study, 228 were found to have blocks in alignment with human genomic sequences. These 228 SSRs span about 1459 cM of the porcine genome, but with uneven distributions, ranging from 2 on SSC12 to 24 on SSC14. Linking these porcine SSRs to the known genome regions in the human genome also revealed 16 new putative synteny groups between these two species. Fifteen SSRs on SSC3 with identified human orthologs were typed on a pig-hamster radiation hybrid (RH) panel and used in a joint analysis with 80 known gene markers previously mapped on SSC3 using the same panel. The analysis revealed that they were all highly linked to either one or both adjacent markers. These results indicated that assigning the porcine SSRs to known genome regions by identifying their human orthologs is a reliable approach. The process will provide a foundation for positional cloning of causative genes for economically important traits.     

SNP analysis to dissect human traits

The analysis of complex human diseases has been spurred by the number of published genomic sequence variants - many identified in the course of sequencing the human genome. But, to be useful for genetic analysis, variants have to be mapped accurately, their frequencies in various populations determined, and automated high-throughput assay techniques developed. Recently proposed methods address these issues: the use of 'reduced representation shotgun' methods for more efficient detection of single nucleotide polymorphisms (SNPs), the employment of high-throughput genotyping techniques, the development of SNP maps that incorporate information about linkage disequilibrium, and the use of SNPs in identifying susceptibility genes for common illnesses.     

Whole-Mount in Situ Hybridization to Mouse Embryos

The mouse is well-established as the major animal model for the study of mammalian development. Rapid progress in large-scale cDNA and also genomic sequencing projects is identifying new mouse genes at an unprecedented rate. As a first step toward understanding the function of these novel genes, it is important to determine their developmental expression pattern. Here we provide a reliable, sensitive method for whole-mount in situ hybridization using the mouse embryo.     

22nd European Workshop for Rheumatology Research,Leiden, The Netherlands, 28 February-3 March 2002

The European Workshop for Rheumatology Research met this year in Leiden, The Netherlands. The Workshop provided a platform to feast on new technologies and how they have taken research programmes forward. While there will be the inevitable delay during which mechanisms are devised for analysing the huge amount of information generated by these technologies, there is a lot already to look forward to. Highlights included genomic, reverse genomic and proteomic approaches to understanding disease pathogenesis and to identifying new therapeutic targets. Opportunities for exploring whether pharmacogenomics has a place in the clinic are now a reality, and phage display technology has been applied to in vivo arthritis models to identify human synovial microvascular 'post codes'.     

Temporal and functional analysis of DNA replicated in early S phase

In summary, recently developed technologies have begun to draw back the curtain of mystery that obscures some of the basic mechanisms of DNA replication at multiple levels. Studies using extended DNA and chromatin fiber techniques have proven valuable for identifying the location of origins of replication at specific genomic sites and determining their temporal order of replication, for identifying and quantifying sites of DNA damage and localizing chromatin proteins in relation to sites of DNA replication. The future potential of these methods include further discoveries in functional genomics and contributions to the elucidation of the histone code. Such studies could prove very valuable in studies of the mechanisms of cancer development, aging, and other processes of disordered genomic functioning.     

22nd European Workshop for Rheumatology Research, Leiden, The Netherlands, 28 February–3 March 2002

The European Workshop for Rheumatology Research met this year in Leiden, The Netherlands. The Workshop provided a platform to feast on new technologies and how they have taken research programmes forward. While there will be the inevitable delay during which mechanisms are devised for analysing the huge amount of information generated by these technologies, there is a lot already to look forward to. Highlights included genomic, reverse genomic and proteomic approaches to understanding disease pathogenesis and to identifying new therapeutic targets. Opportunities for exploring whether pharmacogenomics has a place in the clinic are now a reality, and phage display technology has been applied to in vivo arthritis models to identify human synovial microvascular 'post codes'.     

Analysis and comparison of metabolic pathway databases

Enormous amounts of data result from genome sequencing projects and new experimental methods. Within this tremendous amount of genomic data 30-40 per cent of the genes being identified in an organism remain unknown in terms of their biological function. As a consequence of this lack of information the overall schema of all the biological functions occurring in a specific organism cannot be properly represented. To understand the functional properties of the genomic data more experimental data must be collected. A pathway database is an effort to handle the current knowledge of biochemical pathways and in addition can be used for interpretation of sequence data. Some of the existing pathway databases can be interpreted as detailed functional annotations of genomes because they are tightly integrated with genomic information. However, experimental data are often lacking in these databases. This paper summarises a list of pathway databases and some of their corresponding biological databases, and also focuses on information about the content and the structure of these databases, the organisation of the data and the reliability of stored information from a biological point of view. Moreover, information about the representation of the pathway data and tools to work with the data are given. Advantages and disadvantages of the analysed databases are pointed out, and an overview to biological scientists on how to use these pathway databases is given.     

The GAG database: A new resource to gather genomic annotation cross-references

Several institutions provide genomic annotation data, and therefore these data show a significant segmentation and redundancy. Public databases allow access, through their own methods, to genomic and proteomic sequences and related annotation. Although some cross-reference tables are available, they don't cover the complete datasets provided by these databases. The Genomic Annotation Gathering project intends to unify annotation data provided by GenBank and Ensembl. We introduce an intra-species, cross-bank method. Generated results provide an enriched set of cross- references. This method allows for identifying an average of 30% of new cross-references that can be integrated to other utilities dedicated to analyzing related annotation data. By using only sequence comparison, we are able to unify two datasets that previously didn't share any stable cross-bank accession method. The whole process is hosted by the GenOuest platform to provide public access to newly generated cross-references and to allow for regular updates (http://gag.genouest.org).     

Libraries for genomic SELEX.

An increasing number of proteins are being identified that regulate gene expression by binding specific nucleic acidsin vivo. A method termed genomic SELEX facilitates the rapid identification of networks of protein-nucleic acid interactions by identifying within the genomic sequences of an organism the highest affinity sites for any protein of the organism. As with its progenitor, SELEX of random-sequence nucleic acids, genomic SELEX involves iterative binding, partitioning, and amplification of nucleic acids. The two methods differ in that the variable region of the nucleic acid library for genomic SELEX is derived from the genome of an organism. We have used a quick and simple method to construct Escherichia coli, Saccharomyces cerevisiae, and human genomic DNA PCR libraries that can be transcribed with T7 RNA polymerase. We present evidence that the libraries contain overlapping inserts starting at most of the positions within the genome, making these libraries suitable for genomic SELEX.     

Comparative Modelling Techniques: Where are we?

The enormous increase in data availability brought about by genomic projects is paralleled by an equally unprecedented increase in the expectations for new medical, pharmacological, environmental and biotechnological discoveries. Whether or not we will be able to meet (at least partially) these expectations will depend on how well we will be able to interpret the data and translate the mono-dimensional information encrypted in genomes into a detailed understanding of its biological meaning at the phenotypic level. The process is far from being trivial, and the obstacles along the road are formidable: even the problem of identifying coding regions in eukaryotic genomes is not completely solved. Far more complex is identification of the function of the encoded proteins, and this will probably represent the most challenging problem for the next generations of scientists.     

A Review of Evaluations of Electronic Event-Based Biosurveillance Systems

Electronic event-based biosurveillance systems (EEBS’s) that use near real-time information from the internet are an increasingly important source of epidemiologic intelligence. However, there has not been a systematic assessment of EEBS evaluations, which could identify key uncertainties about current systems and guide EEBS development to most effectively exploit web-based information for biosurveillance. To conduct this assessment, we searched PubMed and Google Scholar to identify peer-reviewed evaluations of EEBS’s. We included EEBS’s that use publicly available internet information sources, cover events that are relevant to human health, and have global scope. To assess the publications using a common framework, we constructed a list of 17 EEBS attributes from published guidelines for evaluating health surveillance systems. We identified 11 EEBS’s and 20 evaluations of these EEBS’s. The number of published evaluations per EEBS ranged from 1 (Gen-Db, GODsN, MiTAP) to 8 (GPHIN, HealthMap). The median number of evaluation variables assessed per EEBS was 8 (range, 3–15). Ten published evaluations contained quantitative assessments of at least one key variable. No evaluations examined usefulness by identifying specific public health decisions, actions, or outcomes resulting from EEBS outputs. Future EEBS assessments should identify and discuss critical indicators of public health utility, especially the impact of EEBS’s on public health response.     

Population biobanks and returning individual research results: mission impossible or new directions?

Historically, large-scale longitudinal genomic research studies have not returned individual research results to their participants, as these studies are not intended to find clinically significant information for individuals, but to produce ‘generalisable’ knowledge for future research. However, this stance is now changing. Commentators now argue that there is an ethical imperative to return clinically significant results and individuals are now expressing a desire to have them. This shift reflects societal changes, such as the rise of social networking and an increased desire to participate in medical decision-making, as well as a greater awareness of genetic information and the increasing ability of clinicians to use this information in health care treatment. This paper will discuss the changes that have prompted genomic research studies to reconsider their position and presents examples of projects that are actively engaged in returning individual research results.     

Quantifying genomic imprinting in the presence of linkage

Genomic imprinting decreases the power of classical linkage analysis, in which paternal and maternal transmissions of marker alleles are equally weighted. Several methods have been proposed for taking genomic imprinting into account in the model-free linkage analysis of binary traits. However, none of these methods are suitable for the formal identification and quantification of genomic imprinting in the presence of linkage. In addition, the available methods are designed for use with pure sib-pairs, requiring artificial decomposition in cases of larger sibships, leading to a loss of power. We propose here the maximum likelihood binomial method adaptive for imprinting (MLB-I), which is a unified analytic framework giving rise to specific tests in sibships of any size for (i) linkage adaptive to imprinting, (ii) genomic imprinting in the presence of linkage, and (iii) partial versus complete genomic imprinting. In addition, we propose an original measure for quantifying genomic imprinting. We have derived and validated the distribution of the three tests under their respective null hypotheses for various genetic models, and have assessed the power of these tests in simulations. This method can readily be applied to genome-wide scanning, as illustrated here for leprosy sibships. Our approach provides a novel tool for dissecting genomic imprinting in model-free linkage analysis, and will be of considerable value for identifying and evaluating the contribution of imprinted genes to complex diseases.