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Detection of Alternative Splicing During Epithelial-Mesenchymal Transition
Published on: October 9, 2014
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Medium throughput analysis of alternative splicing by fluorescently labeled RT-PCR
Ryan Percifield1, Daniel Murphy, Peter Stoilov
1Department of Biochemistry, West Virginia University, Morgantown, WV, USA.
Methods in Molecular Biology (Clifton, N.J.)
|February 20, 2014
Summary
This study presents a new reverse transcription-PCR (RT-PCR) method for efficiently detecting and quantifying alternative splicing. The optimized RT-PCR assay simplifies analysis for large sample sets, reducing costs and labor.
Area of Science:
- Molecular Biology
- Genetics
- Biochemistry
Background:
- Reverse transcription-PCR (RT-PCR) is crucial for detecting and quantifying alternative pre-mRNA splicing.
- Traditional RT-PCR methods are labor-intensive, expensive for large-scale studies, and involve multiple steps like RNA isolation, reverse transcription, and PCR, often using radiolabeled primers.
Purpose of the Study:
- To develop a streamlined RT-PCR approach for detecting alternative splicing.
- To enable effortless quantification of exon inclusion levels in a high number of samples.
- To create a cost-effective and efficient method for alternative splicing analysis.
Main Methods:
- Development of a multi-well plate-based RT-PCR assay.
- Optimization of RNA isolation, reverse transcription, and PCR steps.
- Adaptation of procedures for automation on standard liquid handling equipment.
Main Results:
- The described RT-PCR approach allows for effortless quantification of exon inclusion levels.
- The method is suitable for analyzing large numbers of samples.
- The assay can be automated to achieve medium throughput, processing thousands of samples daily.
Conclusions:
- The novel RT-PCR method significantly improves the efficiency and reduces the cost of alternative splicing analysis.
- This technique facilitates large-scale studies of alternative splicing.
- The automation potential makes this assay valuable for high-throughput biological research.

