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Evaluation of a Novel Approach for the Measurement of RNA Quality
Timothy Wilkes; Alison Devonshire; Carole Foy. LGC Limited

The potential medical applications of microarrays have generated much interest, within the biomedical community. Numerous potential sources of variation have raised concerns regarding assay consistency and data quality. Previous studies have highlighted RNA integrity as having a major effect on data quality. We describe here a comparison of the performance characteristics of the Agilent (Bioanalyser) and Lab901 (Screen Tape System) platforms, and their capacity to determine sample RNA integrity.

Intended transcriptional gene silencing with siRNA to the human Vascular Endothelial Growth Factor (VEGF) promoter results in VEGF repression through sequence-specific off-targeting
Joshua Moses, Amber Goodchild and Laurent Rivory. School of Biotechnology & Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia; Eli Lilly Pty. Ltd., West Ryde, NSW, Australia

SiRNA designed to target the human VEGF gene promoter revealed a putative candidate for transcriptional gene silencing. However, mutation or deletion of the target site demonstrated that the observed VEGF knockdown was the result of a sequence-specific off-target effect. Bioinformatic and microarray analyses of genes implicated in VEGF transcriptional control followed by knockdown and Western blotting experiments presented one candidate, GRB2, as an unintended target of the VEGF promoter-specifi

A Web Interface for Automatic Microarray Analysis
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasnogor. Nottingham University

DNA-Microarray technology provides a diagnostic tool for studying cancer and genetic diseases, allowing the experimenter to identify disease related genes and predict the tumour type for new cell samples. However, the statistical analysis of microarray data is a time-consuming and error-prone process. To address this problem we have developed a web interface for automatic DNA-microarray analysis, ArrayMining.net, which guides the user through the analysis process and performs automatic parameter

A modular and stochastic approach to the study of gene circuits using P systems
Romero-Campero FJ, Blakes J, Cao H, Camara M, Krasnogor N.. University of Nottingham

presented at Genomes to Systems Manchester, UK March 17-19 2008

Formal informatics and machine learning for more principled systems and synthetic biology
Romero-Campero FJ, Blakes J, Camara M, Willams P, Perez-Jimenez MJ, Krasnogor N. University of Nottingham

presented at European Conference on Synthetic Biology (ESF-UB Conference in Biomedicine), Sant Feliu de Guixols, Spain, 24-29 November 2007.

A systems analysis of the AHL Quorum Sensing system in Pseudomonas aeruginosa
Romero-Campero FJ, Blakes J, Camara M, Krasnogor N.. University of Nottingham

presented at Systems Biology (ESF-UB Conference in Biomedicine), Sant Feliu de Guixols, Spain, 12-17 April 2008

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