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DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
Published on: March 15, 2011
Gene expression profiling using DNA microarrays.
Kyonoshin Maruyama1, Kazuko Yamaguchi-Shinozaki, Kazuo Shinozaki
1Biological Resources and Post-harvest Division, Japan International Research Center for Agricultural Sciences, Tsukuba, Ibaraki, Japan.
Methods in Molecular Biology (Clifton, N.J.)
|September 24, 2013
Summary
This study details microarray analysis for gene expression profiling in Arabidopsis. It covers methods from RNA purification to data analysis for understanding gene function and biological responses.
Area of Science:
- Molecular Biology
- Genomics
- Plant Science
Background:
- Microarrays are a standard tool in Arabidopsis research for measuring gene expression.
- Applications include studying wild-type vs. mutant gene expression, environmental effects, hormone responses, and developmental differences.
- Other array techniques like comparative genomic hybridization and ChIP are also utilized.
Purpose of the Study:
- To provide a comprehensive overview of gene expression profiling using DNA microarrays in Arabidopsis.
- To detail the methodology for competitive hybridization and fluorescent labeling.
- To guide researchers through the entire process, from RNA extraction to data interpretation.
Main Methods:
- Gene expression profiling via competitive hybridization of two differentially labeled fluorescent samples (cyanine 3-CTP and cyanine 5-CTP).
- Detailed description of experimental workflow, including RNA purification.
- Comprehensive data analysis procedures for microarray experiments.
Main Results:
- The chapter outlines the practical steps for obtaining reliable gene expression data from DNA microarrays.
- It emphasizes the utility of microarrays in dissecting complex biological questions in Arabidopsis.
- The described methods enable comparative analysis of gene expression under various conditions.
Conclusions:
- DNA microarrays are a powerful and versatile technology for Arabidopsis research.
- The described protocol facilitates robust gene expression profiling.
- Understanding gene expression patterns is crucial for advancing plant science and functional genomics.
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