|T7 Amplification for Generating Single Stranded Target for Hybridization to Allele-Specific DNA Microarrays|
Jesper Petersen, Lena Poulsen, Henrik Birgens and Martin Dufva
Amplified RNA (aRNA) synthesized by T7 linear amplification is frequently used for gene expression analysis on microarrays.
Single stranded DNA (ssDNA) is however mostly used as target in microarray based genotyping assays, although there are several advantages with aRNA. Here, we compared the performance of aRNA and ssDNA as targets in a genotyping assay, comprising a DNA microarray of allele specific oligo probes specific for thalassemic mutations.
|Quality Monitoring on Human 14K Oligo Chips at the University of Calgary|
Xiuling Wang, Stephen M. Robbins and Mayi Arcellana-Panlilio,
The production of microarrays needs to be carefully monitored and quality control tests done to track systematic effects and performance variations over time to maximize the possibility of getting high quality data.
|New Platforms and Systems for DNA Microarrays|
B. Henze, B. Saal, D. Drutschmann, K. Wellesen and P. Schüßler
Operon has designed probes of different lengths to various positions in the Open Reading Frames (ORFs) and the results clearly show that 70mers offer the optimal combination of specificity and sensitivity.
|S&S® Serum Biomarker Chip Displays Specificity & Reproducibility for 120 Different Human Biomarker Profiles|
Christopher C. Zarozinski, Damon W. Pawlak, Brett A. Stillman, Michael A. Harvey and Breck O. Parker
We introduce a unique tool for the determination of relative abundances for human serum biomarkers. Conceptually similar to DNA microarrays, the S&S® Serum Biomarker Chip (SBC) is a single capture antibody array that was developed for comparative analysis of serum samples in order to identify differences or similarities in protein expression profiles.
|SPR Imaging of Protein Microarrays for Detection of Antibody Binding|
J.B. Beusink, G.A.J. Besselink and R.B.M. Schasfoort
In our study we have used the imaging SPR Instrument for Biomolecular Interaction Sensing (iSPR-IBIS) (IBIS Technologies BV, Hengelo, The Netherlands), for monitoring the binding of biomolecules to a protein array in a fully automated manner. A TopSpot instrument from BioFluidix GmbH (Freiburg, Germany) was used to spot the protein array.
|Fully Automatic Analysis of DNA Microarray Images|
S.Mitterhuber, B.Petersch and O.Serrano
During the last years, the advent and rapid development of DNA microarray techniques has revolutionized genetic research in life sciences. We are presenting a new stand-alone software for fully automated analysis of microarray images. It employs a number of novel image processing algorithms for grid detection and spot segmentation which assure high calculation speed and accuracy.
|Design and Functional Analysis of ssDNA Directed Assembly in Protein Array|
Ng Jin Kiata, Parayil Kumaran Ajikumara, Tang Yew Chunga, Lee Jim Yanga, Gregory Stephanopoulosa and Too Heng-Phona
The present poster discusses the fabrication and evaluation of a new platform called “Spatially addressable protein array” (SAPA). By exploring the specificity of DNA hybridization, ssDNA-antibody conjugates would capture the antigen from complex biological samples in milieu and spatially addressed to specific location on the oligo array for detection.
|Automated Multi-Layered Multiplex Assay Production with Inkjet Technology|
Susan Seaton, Duncan Hall and Howard Manning
This work reports on the production and exact reproducible nature of the Aj120 Inkjet Microarray Spotter when printing multiple droplet microarrays. This has lead to successful collaborations between Arrayjet and a number of scientific groups furthering the use of this novel method of non-contact printing within the microarray field, a few of which are highlighted here.
|Prediction of Protein-to-Protein Interactions|
C.Gilissen, P.Groot, P.Lucas, J.Veltman, A.GeurtsvanKessel and M.Egmont-Petersen
We use local extrema in microarray time series data as the basis for discretisation. By comparing discretised gene expressions using similarity functions, we discover putative protein-to-protein interactions. We validate the results by use of public true positive and true negative databases for protein-to-protein interactions and demonstrate the high predictiveness of these local extrema as a time series feature.