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Comparing bioinformatic gene expression profiling methods: microarray and RNA-Seq
Kirk J Mantione1, Richard M Kream1, Hana Kuzelova2
1Neuroscience Research Institute, State University of New York, College at Old Westbury, Old Westbury, USA.
Medical Science Monitor Basic Research
|August 24, 2014
Summary
DNA microarrays and RNA-Sequencing (RNA-Seq) are key for measuring gene expression. While microarrays are cost-effective for model organisms, RNA-Seq offers future potential, with both techniques complementing each other.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Gene expression control is fundamental to understanding genotype-phenotype relationships.
- Accurate transcript abundance measurement is crucial in biological research.
- Novel technologies like DNA microarrays and RNA-Sequencing (RNA-Seq) have been developed for this purpose.
Purpose of the Study:
- To compare DNA microarrays and RNA-Seq for whole transcriptome gene expression profiling.
- To evaluate the current and future roles of these two technologies.
Main Methods:
- Review of existing literature and technologies for gene expression profiling.
- Comparative analysis of DNA microarray and RNA-Seq methodologies.
Main Results:
- DNA microarrays are reliable and cost-effective for gene expression profiling in model organisms.
- RNA-Seq is poised for more routine use, though currently complementary to microarrays.
- Microarrays will retain specific applications, not becoming entirely obsolete.
Conclusions:
- Both DNA microarrays and RNA-Seq are valuable tools for gene expression analysis.
- RNA-Seq shows significant promise for future bioinformatic data collection and analysis.
- The techniques can be used together to provide comprehensive gene expression data.
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