|Usage of Low-Density Oligonucleotide Microarrays for Prognosis Prediction of Colorectal Cancer Patients|
Slabý O., Garajová I., Svoboda M., Fabian P., Svoboda M., Šmerdová T. and Vyzula R.
This study aimed to find individual up/down-regulated genes associated with progression and metastatic potential of colorectal cancers using low-density oligonucleotide microarrays spotted with genes known to be involved in process of metastasis development. We suppose that focusing on a particular biological pathway may be more useful than genome-wide screening for our purposes.
|Diagnosis of Aortic Aneurysm from Gene Expression Profiling of Peripheral Blood|
Catalin Barbacioru,Yulei Wang, Dov Shiffman, Olga Iakoubova, Sriram Balasubramanian, Julie Blake, John Elefteriades and Raymond Samaha
We report in this study that gene expression profiles of peripheral blood cells may allow early detection and diagnosis of aortic aneurysm. Gene expression profiles of peripheral blood samples collected from 58 individuals diagnosed with thoracic aortic aneurysm (cases) and 36 normal individuals (controls) were analyzed using the Applied Biosystems Expression Array Systems and Human Genome Survey Microarrays.
|Microarray Analysis Using Competitive Hybridization|
J. Bishop, C. Wilson, A. M. Chagovetz and S. Blair
In this work we explore the effects of wild-type and single nucleotide polymorphism (SNP) target specie concentrations, temperature, and the time of hybridization on sensing specificity in two component systems. A finite element method is used to simulate the diffusion of DNA through a microfluidic chamber to the sensing surface of bound oligonucleotide probes where hybridization of DNA is modeled using the corresponding chemical reaction equation assuming low grafting density.
|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.