Alan J. Ross
University of Edinburgh
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Featured researches published by Alan J. Ross.
Journal of General Virology | 1996
Edward J. Usherwood; Alan J. Ross; Deborah J. Allen; Anthony Nash
Murine gammaherpesvirus (MHV-68) causes an acute respiratory infection followed by a latent infection in B lymphocytes. In the first 2-3 weeks after infection mice develop a marked splenomegaly, where the spleen cell number increases by 2-3 fold. Cytofluorimetric analysis during splenomegaly revealed an increase in numbers of B lymphocytes and of both CD4+ and CD8+ T lymphocytes. The largest increase relative to uninfected spleens was in the CD8+ population. The number of latently infected cells in the spleen peaked at day 10 post-intraperitoneal infection, then declined to 1/10(6)-1/10(7) cells per spleen. Depletion of CD4+ T lymphocytes prevented the splenomegaly and greatly reduced the peak infective centre level, while having no effect on the long-term of latently infected cells. Given the similarity between MHV-68-induced splenomegaly and Epstein-Barr virus-induced infectious mononucleosis, these data highlight the usefulness of MHV-68 as a mouse model for the study of gammaherpesvirus immunology and pathobiology.
BMC Genomics | 2009
Sarah Kabani; Katelyn Fenn; Alan J. Ross; Al Ivens; Terry K. Smith; Peter Ghazal; Keith R. Matthews
BackgroundTrypanosomes undergo extensive developmental changes during their complex life cycle. Crucial among these is the transition between slender and stumpy bloodstream forms and, thereafter, the differentiation from stumpy to tsetse-midgut procyclic forms. These developmental events are highly regulated, temporally reproducible and accompanied by expression changes mediated almost exclusively at the post-transcriptional level.ResultsIn this study we have examined, by whole-genome microarray analysis, the mRNA abundance of genes in slender and stumpy forms of T.brucei AnTat1.1 cells, and also during their synchronous differentiation to procyclic forms. In total, five biological replicates representing the differentiation of matched parasite populations derived from five individual mouse infections were assayed, with RNAs being derived at key biological time points during the time course of their synchronous differentiation to procyclic forms. Importantly, the biological context of these mRNA profiles was established by assaying the coincident cellular events in each population (surface antigen exchange, morphological restructuring, cell cycle re-entry), thereby linking the observed gene expression changes to the well-established framework of trypanosome differentiation.ConclusionUsing stringent statistical analysis and validation of the derived profiles against experimentally-predicted gene expression and phenotypic changes, we have established the profile of regulated gene expression during these important life-cycle transitions. The highly synchronous nature of differentiation between stumpy and procyclic forms also means that these studies of mRNA profiles are directly relevant to the changes in mRNA abundance within individual cells during this well-characterised developmental transition.
IEEE\/ASME Journal of Microelectromechanical Systems | 2008
Y. Li; William Parkes; Les I. Haworth; Alan J. Ross; J.T.M. Stevenson; Anthony Walton
This paper presents a robust anodic Ta2O5 dielectric as an alternative insulator for fabricating low-voltage electrowetting on dielectric (EWOD) systems. Previously reported low-voltage EWOD technologies require high-temperature processes ( > 435degC), which unlike this room temperature technology, are not compatible with standard copper and aluminum integrated circuit interconnect technology as well as polymer-based substrates. The anodized Ta2O5 forms a uniform pinhole free layer with a surface roughness (R a) of 0.6 nm. This robust film enables an ultrathin amorphous FluoroPolymer layer to be employed to reduce the EWOD driving voltage to 13 V. Both sub-20-nm Teflon-AF and CYTOP layers have been successfully coated on top of Ta2O5 with good adhesion. Applying voltages of 6-15 V significantly modified the contact angles of droplets in air on these samples (121deg to 81deg on Teflon-AF at 13 V and 114deg to 95deg on CYTOP at 6 V). Successful 14-V EWOD manipulation involving droplets being dispensed from a reservoir, their movement, followed by merging them together has been demonstrated using devices using a Teflon-AF + Ta2O5 dielectric.
Nature Communications | 2014
Claire Smith; Paul Dickinson; Thorsten Forster; Marie Craigon; Alan J. Ross; Mizanur Khondoker; Alasdair Ivens; David J. Lynn; Judith Orme; Allan Jackson; Paul Lacaze; Katie L. Flanagan; Benjamin J. Stenson; Peter Ghazal
Understanding how human neonates respond to infection remains incomplete. Here, a system-level investigation of neonatal systemic responses to infection shows a surprisingly strong but unbalanced homeostatic immune response; developing an elevated set-point of myeloid regulatory signalling and sugar-lipid metabolism with concomitant inhibition of lymphoid responses. Innate immune-negative feedback opposes innate immune activation while suppression of T-cell co-stimulation is coincident with selective upregulation of CD85 co-inhibitory pathways. By deriving modules of co-expressed RNAs, we identify a limited set of networks associated with bacterial infection that exhibit high levels of inter-patient variability. Whereas, by integrating immune and metabolic pathways, we infer a patient-invariant 52-gene-classifier that predicts bacterial infection with high accuracy using a new independent patient population. This is further shown to have predictive value in identifying infection in suspected cases with blood culture-negative tests. Our results lay the foundation for future translation of host pathways in advancing diagnostic, prognostic and therapeutic strategies for neonatal sepsis.
International Journal of Molecular Sciences | 2009
Gerard Giraud; Holger Schulze; Till T. Bachmann; Colin J. Campbell; Andrew R. Mount; Peter Ghazal; Mizanur Khondoker; Alan J. Ross; Stuart W. J. Ember; Ilenia Ciani; Chaker Tlili; Anthony J. Walton; Jonathan G. Terry; Jason Crain
Quantum dot (QD) labeling combined with fluorescence lifetime imaging microscopy is proposed as a powerful transduction technique for the detection of DNA hybridization events. Fluorescence lifetime analysis of DNA microarray spots of hybridized QD labeled target indicated a characteristic lifetime value of 18.8 ns, compared to 13.3 ns obtained for spots of free QD solution, revealing that QD labels are sensitive to the spot microenvironment. Additionally, time gated detection was shown to improve the microarray image contrast ratio by 1.8, achieving femtomolar target sensitivity. Finally, lifetime multiplexing based on Qdot525 and Alexa430 was demonstrated using a single excitation-detection readout channel.
Journal of Virology | 2011
Paul Lacaze; Thorsten Forster; Alan J. Ross; Lorraine E. Kerr; Eliane Salvo-Chirnside; Vanda Juranić Lisnić; Guillermo López-Campos; José J. García-Ramírez; Martin Messerle; Joanne Trgovcich; Ana Angulo; Peter Ghazal
ABSTRACT The global transcriptional program of murine cytomegalovirus (MCMV), involving coding, noncoding, and antisense transcription, remains unknown. Here we report an oligonucleotide custom microarray platform capable of measuring both coding and noncoding transcription on a genome-wide scale. By profiling MCMV wild-type and immediate-early mutant strains in fibroblasts, we found rapid activation of the transcriptome by 6.5 h postinfection, with absolute dependency on ie3, but not ie1 or ie2, for genomic programming of viral gene expression. Evidence is also presented to show, for the first time, genome-wide noncoding and bidirectional transcription at late stages of MCMV infection.
Analytical Biochemistry | 2008
Stewart T. G. Burgess; Fiona Kenyon; Nichola O’Looney; Alan J. Ross; Marisa Chong Kwan; John S. Beattie; Juraj Petrik; Peter Ghazal; Colin J. Campbell
All donor blood samples must be tested pretransfusion to determine the donor blood type. Standard testing protocols require that assays be performed for important bloodborne pathogens such as hepatitis C, syphilis, hepatitis B, and human immunodeficiency virus. We have demonstrated proof of the concept that a protein microarray can type whole blood and detect antibody to significant pathogens simultaneously from the same donor blood sample. The data collected demonstrate the ability of the array to accurately type blood samples while also detecting the presence of antibodies against both human immunodeficiency virus and hepatitis C virus. In conclusion, we have successfully developed a platform capable of typing human whole blood samples, while at the same time testing for the presence of antibodies specific for human immunodeficiency virus/hepatitis C virus. The major benefits of this system are its amenability to expansion with additional assays, for example, rhesus typing and syphilis and/or hepatitis B virus detection, and also the adaptability of the assay to higher-throughput analysis, currently 16 individual samples per slide, but readily expandable to a 96-well format.
BMC Genomics | 2005
Graeme Grimes; Stuart L. Moodie; John S. Beattie; Marie Craigon; Paul Dickinson; Thorsten Forster; Andrew D Livingston; Muriel Mewissen; Kevin Robertson; Alan J. Ross; Garwin Sing; Peter Ghazal
BackgroundMacrophages play an integral role in the host immune system, bridging innate and adaptive immunity. As such, they are finely attuned to extracellular and intracellular stimuli and respond by rapidly initiating multiple signalling cascades with diverse effector functions. The macrophage cell is therefore an experimentally and clinically amenable biological system for the mapping of biological pathways. The goal of the macrophage expression atlas is to systematically investigate the pathway biology and interaction network of macrophages challenged with a variety of insults, in particular via infection and activation with key inflammatory mediators. As an important first step towards this we present a single searchable database resource containing high-throughput macrophage gene expression studies.DescriptionThe GPX Macrophage Expression Atlas (GPX-MEA) is an online resource for gene expression based studies of a range of macrophage cell types following treatment with pathogens and immune modulators. GPX-MEA follows the MIAME standard and includes an objective quality score with each experiment. It places special emphasis on rigorously capturing the experimental design and enables the searching of expression data from different microarray experiments. Studies may be queried on the basis of experimental parameters, sample information and quality assessment score. The ability to compare the expression values of individual genes across multiple experiments is provided. In addition, the database offers access to experimental annotation and analysis files and includes experiments and raw data previously unavailable to the research community.ConclusionGPX-MEA is the first example of a quality scored gene expression database focussed on a macrophage cellular system that allows efficient identification of transcriptional patterns. The resource will provide novel insights into the phenotypic response of macrophages to a variety of benign, inflammatory, and pathogen insults. GPX-MEA is available through the GPX website at http://www.gti.ed.ac.uk/GPX.
Genomics data | 2015
Paul Dickinson; Claire Smith; Thorsten Forster; Marie Craigon; Alan J. Ross; Mizanur Khondoker; Alasdair Ivens; David J. Lynn; Judith Orme; Allan Jackson; Paul Lacaze; Katie L. Flanagan; Benjamin J. Stenson; Peter Ghazal
Neonatal infection remains a primary cause of infant morbidity and mortality worldwide and yet our understanding of how human neonates respond to infection remains incomplete. Changes in host gene expression in response to infection may occur in any part of the body, with the continuous interaction between blood and tissues allowing blood cells to act as biosensors for the changes. In this study we have used whole blood transcriptome profiling to systematically identify signatures and the pathway biology underlying the pathogenesis of neonatal infection. Blood samples were collected from neonates at the first clinical signs of suspected sepsis alongside age matched healthy control subjects. Here we report a detailed description of the study design, including clinical data collected, experimental methods used and data analysis workflows and which correspond with data in Gene Expression Omnibus (GEO) data sets (GSE25504). Our data set has allowed identification of a patient invariant 52-gene classifier that predicts bacterial infection with high accuracy and lays the foundation for advancing diagnostic, prognostic and therapeutic strategies for neonatal sepsis.
Analyst | 2007
Claire Smith; Paul Dickinson; Thorsten Forster; Mizanur Khondoker; Marie Craigon; Alan J. Ross; Petter Storm; Stewart T. G. Burgess; Paul Lacaze; Benjamin J. Stenson; Peter Ghazal
Infection remains a significant cause of morbidity and mortality especially in newborn infants. Analytical methods for diagnosing infection are severely limited in terms of sensitivity and specificity and require relatively large samples. It is proposed that stringent regulation of the human transcriptome affords a new molecular diagnostic approach based on measuring a highly specific systemic inflammatory response to infection, detectable at the RNA level. This proposition raises a number of as yet poorly characterised technical and biological variation issues that urgently need to be addressed. Here we report a quantitative assessment of methodological approaches for processing and extraction of RNA from small samples of infant whole blood and applying analysis of variation from biochip measurements. On the basis of testing and selection from a battery of assays we show that sufficient high quality RNA for analysis using multiplex array technology can be obtained from small neonatal samples. These findings formed the basis of implementing a set of robust clinical and experimental standard operating procedures for whole blood RNA samples from 58 infants. Modelling and analysis of variation between samples revealed significant sources of variation from the point of sample collection to processing and signal generation. These experiments further permitted power calculations to be run indicating the tractability and requirements of using changes in RNA expression profiles to detect different states between patient groups. Overall the results of our investigation provide an essential first step toward facilitating an alternative way for diagnosing infection from very small neonatal blood samples, providing methods and requirements for future chip-based studies.