A DNA nanoswitch incorporating the fluorescent base analogue 2-aminopurine detects single nucleotide mismatches in unlabelled targets.

DNA nanoswitches can be designed to detect unlabelled nucleic acid targets and have been shown to discriminate between targets which differ in the identity of only one base. This paper demonstrates that the fluorescent base analogue 2-aminopurine (AP) can be used to discriminate between nanoswitches with and without targets and to discriminate between matched and mismatched targets. In particular, we have used both steady-state and time-resolved fluorescence spectroscopy to determine differences in AP environment at the branchpoint of nanoswitches assembled using complementary targets and targets which incorporate single base mismatches.

A multiplexed protein microarray for the simultaneous serodiagnosis of human immunodeficiency virus/hepatitis C virus infection and typing of whole blood.

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.

Evaluation of a protein microarray method for immuno-typing erythrocytes in whole blood.

All donor blood samples must be tested pre-transfusion to determine the blood type of donor erythrocytes, based on the ABO typing system. Current methods of testing are well characterised, but require a number of processing steps prior to analysis. In addition, standard testing protocols require additional assays such as hepatitis C and HIV testing be performed separately. We describe and evaluate a protein microarray platform for ABO blood typing that has the potential to be a simple reliable high throughput method, with the added capability for the integration of other important pre-transfusion tests. Sixty seven donor blood samples were incubated on microarrays printed with multiple spotted replicates of blood type antigen specific antibodies. We utilised a hold-out cross validation approach, combined with Receiver Operator Characteristic (ROC) curves to define thresholds within which a sample could be defined as being of a particular blood type. The threshold values from the ROC curve analysis demonstrated an excellent ability to accurately separate samples based on ABO blood type. The results obtained when the thresholds from the training sets were applied to test sets were also very encouraging, with misclassified samples being present in only 2 of the training sets and a mean classification error of 4.28%. When the mean thresholds were applied to the 67 donor samples, 95.5% were correctly blood typed (64 of 67 samples). We have demonstrated the ability of our protein microarray platform to successfully and accurately type human whole blood samples. We believe that this flexible platform provides a strong basis for an integrated approach for combined blood typing and pathogen testing in human whole blood.

DNA nanoswitch as a biosensor.

We present a new type of DNA switch, based on the Holliday junction, that uses a combination of binding and conformational switching to enable specific label-free detection of DNA and RNA. We show that a single RNA oligonucleotide species can be detected in a complex mixture of extracted cellular RNA and demonstrate that by exploiting different aspects of the switch characteristics we can achieve 30-fold discrimination between single-nucleotide mismatches in a DNA oligonucleotide.

Improved silicon nitride surfaces for next-generation microarrays.

This work reports how the use of a standard integrated circuit (IC) fabrication process can improve the potential of silicon nitride layers as substrates for microarray technology. It has been shown that chemical mechanical polishing (CMP) substantially improves the fluorescent intensity of positive control gene and test gene microarray spots on both low-pressure chemical vapor deposition (LPCVD) and plasma-enhanced chemical vapor deposition (PECVD) silicon nitride films, while maintaining a low fluorescent background. This results in the improved discrimination of low expressing genes. The results for the PECVD silicon nitride, which has been previously reported as unsuitable for microarray spotting, are particularly significant for future devices that hope to incorporate microelectronic control and analysis circuitry, due to the film's use as a final passivating layer.

Cell interaction microarray for blood phenotyping.

Microarrays promise great advances in areas of diagnostic testing where there is a need to perform multiple assays in parallel. In the short term, protein microarrays have a greater potential to impact diagnostics than DNA arrays due to their potential for direct sample measurements. Here, we report an antibody microarray technique for selectively recognizing glycan and peptide motifs on the surface of red blood cells. We present results demonstrating the optimization and efficacy of the microarray approach as a highly sensitive and specific microscale multiplex assay for blood typing. We also show that our microarray can be used to screen red blood cell surface antigens using whole blood in a label-free detection mode. Finally, our results indicate this method has potential for broader applications in biochip medicine.

GPX-Macrophage Expression Atlas: a database for expression profiles of macrophages challenged with a variety of pro-inflammatory, anti-inflammatory, benign and pathogen insults.

BACKGROUND: Macrophages 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. DESCRIPTION: The 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. CONCLUSION: GPX-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.