A study of the analytical behaviour of selected psycho-active drugs using liquid chromatography, ion trap mass spectrometry, gas chromatography and polarography and the construction of an appropriate database for drug characterisation.

This paper provides analytical chemical information on a range of psycho-active drugs. This analytical chemical information on liquid chromatography-electrospray ionisation-mass spectrometry (HPLC-ESI-MS), ion trap mass spectrometry (ESI-MS(n)), gas chromatography-flame ionisation detection (GLC-FID) and polarographic behaviour is then incorporated into a database which is of use in drug characterisation. Application is found in the determination of selected drug compounds in hair samples.

Text mining of full-text journal articles combined with gene expression analysis reveals a relationship between sphingosine-1-phosphate and invasiveness of a glioblastoma cell line.

BACKGROUND: Sphingosine 1-phosphate (S1P), a lysophospholipid, is involved in various cellular processes such as migration, proliferation, and survival. To date, the impact of S1P on human glioblastoma is not fully understood. Particularly, the concerted role played by matrix metalloproteinases (MMP) and S1P in aggressive tumor behavior and angiogenesis remains to be elucidated. RESULTS: To gain new insights in the effect of S1P on angiogenesis and invasion of this type of malignant tumor, we used microarrays to investigate the gene expression in glioblastoma as a response to S1P administration in vitro. We compared the expression profiles for the same cell lines under the influence of epidermal growth factor (EGF), an important growth factor. We found a set of 72 genes that are significantly differentially expressed as a unique response to S1P. Based on the result of mining full-text articles from 20 scientific journals in the field of cancer research published over a period of five years, we inferred gene-gene interaction networks for these 72 differentially expressed genes. Among the generated networks, we identified a particularly interesting one. It describes a cascading event, triggered by S1P, leading to the transactivation of MMP-9 via neuregulin-1 (NRG-1), vascular endothelial growth factor (VEGF), and the urokinase-type plasminogen activator (uPA). This interaction network has the potential to shed new light on our understanding of the role played by MMP-9 in invasive glioblastomas. CONCLUSION: Automated extraction of information from biological literature promises to play an increasingly important role in biological knowledge discovery. This is particularly true for high-throughput approaches, such as microarrays, and for combining and integrating data from different sources. Text mining may hold the key to unraveling previously unknown relationships between biological entities and could develop into an indispensable instrument in the process of formulating novel and potentially promising hypotheses.

An examination of the diversity of a novel Campylobacter reservoir.

The diversity of eukaryotic populations, in particular protozoa, in the water supplies of intensively reared broilers has not been previously studied. This important food-rearing environment was screened for the molecular diversity of eukaryotes by the analysis of PCR-amplified 18S rRNA. DNA was extracted from filtered water samples that were collected from the poultry drinking water systems of five farms. The total genomic DNA was used to produce rRNA-PCR amplicons, which, with the application of TTGE, provided an overview of the eukaryotic population diversity. The rRNA-PCR amplicons were then used to generate 34 random clones that were subject to comparative sequence analysis. Twenty-five of the clones (73.5%) showed high similarity with yeasts and fungi (>92%) and 9 clones demonstrated similarity (>86%) with certain protozoan groups, including flagellates and alveolates. Further studies of the microbial diversity in the previously ignored niche of intensively reared poultry drinking water systems are required, along with subsequent in vitro co-culture assays of the detected protozoa and bacterial strains.

Bioinformatics: Current practice and future challenges for life science education.

It is widely predicted that the application of high-throughput technologies to the quantification and identification of biological molecules will cause a paradigm shift in the life sciences. However, if the biosciences are to evolve from a predominantly descriptive discipline to an information science, practitioners will require enhanced skills in mathematics, computing, and statistical analysis. Universities have responded to the widely perceived skills gap primarily by developing masters programs in bioinformatics, resulting in a rapid expansion in the provision of postgraduate bioinformatics education. There is, however, a clear need to improve the quantitative and analytical skills of life science undergraduates. This article reviews the response of academia in the United Kingdom and proposes the learning outcomes that graduates should achieve to cope with the new biology. While the analysis discussed here uses the development of bioinformatics education in the United Kingdom as an illustrative example, it is hoped that the issues raised will resonate with all those involved in curriculum development in the life sciences.

Identification of 11 pseudogenes in the DNA methyltransferase gene family in rodents and humans and implications for the functional loci.

DNA (cytosine-5-)-methyltransferase genes are important for normal development in mice and humans. We describe here 11 pseudogenes spread among human, mouse, and rat belonging to this gene family, ranging from 1 pseudogene in humans to 7 in rat, all belonging to the Dnmt3 subfamily. All except 1 rat Dnmt3b pseudogene appear to be transcriptionally silent. Dnmt3a2, a transcript variant of Dnmt3a starting at an alternative promoter, had the highest number of processed pseudogenes, while none were found for the canonical Dnmt3a, suggesting the former transcript is more highly expressed in germ cells. Comparison of human, mouse, and rat Dnmt3a2 sequences also suggests that human exon 8 is a recent acquisition. Alignment of the 3'UTR of Dnmt3a2 among the functional genes and the processed pseudogenes suggested that a second polyadenylation site downstream of the RefSeq poly(A) was being used in mice, resulting in a longer 3'UTR, a finding confirmed by RT-PCR in mouse tissues. We also found conserved cytoplasmic polyadenylation elements, usually implicated in regulating translation in oocytes, in Dnmt3b and Dnmt1. Expression of DNMT3B in the mouse oocyte was confirmed by immunocytochemistry. These results clarify the structure of a number of loci in the three species examined and provide some useful insights into the structure and evolution of this gene family.

Integrated transcriptome and proteome data: the challenges ahead.

The recent availability of platform technologies for high throughput proteome analysis has led to the emergence of integrated messenger RNA and protein expression data. The Pearson correlation coefficients for these data range from 0.46 to 0.76. In these integrated studies, serial analyses of gene expression and DNA microarrays have been used to quantify the transcriptome, while proteome analysis has been based on two-dimensional gel electrophoresis, isotope coded affinity tags and multidimensional protein identification technology. This paper provides a comprehensive review of the analytical techniques used in these studies and explores the extent to which the choice of experimental methodology can bias the correlation or the ability to detect proteins.