Improvement in the Reproducibility and Accuracy of DNA Microarray Quantification by Optimizing Hybridization Conditions
Open Access
- 26 September 2006
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 7 (S2) , 1-13
- https://doi.org/10.1186/1471-2105-7-S2-S17
Abstract
DNA microarrays, which have been increasingly used to monitor mRNA transcripts at a global level, can provide detailed insight into cellular processes involved in response to drugs and toxins. This is leading to new understandings of signaling networks that operate in the cell, and the molecular basis of diseases. Custom printed oligonucleotide arrays have proven to be an effective way to facilitate the applications of DNA microarray technology. A successful microarray experiment, however, involves many steps: well-designed oligonucleotide probes, printing, RNA extraction and labeling, hybridization, and imaging. Optimization is essential to generate reliable microarray data. Hybridization and washing steps are crucial for a successful microarray experiment. By following the hybridization and washing conditions recommended by an oligonucleotide provider, it was found that the expression ratios were compressed greater than expected and data analysis revealed a high degree of non-specific binding. A series of experiments was conducted using rat mixed tissue RNA reference material (MTRRM) and other RNA samples to optimize the hybridization and washing conditions. The optimized hybridization and washing conditions greatly reduced the non-specific binding and improved the accuracy of spot intensity measurements. The results from the optimized hybridization and washing conditions greatly improved the reproducibility and accuracy of expression ratios. These experiments also suggested the importance of probe designs using better bioinformatics approaches and the need for common reference RNA samples for platform performance evaluation in order to fulfill the potential of DNA microarray technology.Keywords
This publication has 36 references indexed in Scilit:
- Microarray scanner calibration curves: characteristics and implicationsBMC Bioinformatics, 2005
- Standardizing global gene expression analysis between laboratories and across platformsNature Methods, 2005
- Multiple-laboratory comparison of microarray platformsNature Methods, 2005
- Probe rank approaches for gene selection in oligonucleotide arrays with a small number of replicatesBioinformatics, 2005
- Development of public toxicogenomics software for microarray data management and analysisMutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 2004
- A comparison of oligonucleotide and cDNA-based microarray systemsPhysiological Genomics, 2004
- Evaluation of gene expression measurements from commercial microarray platformsNucleic Acids Research, 2003
- PRIMEGENS: robust and efficient design of gene-specific probes for microarray analysisBioinformatics, 2002
- Exploring the new world of the genome with DNA microarraysNature Genetics, 1999
- Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA MicroarrayScience, 1995