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Published on: December 9, 2016
In vivo and In vitro methods to identify DNA sequence variants that alter RNA Splicing
Parth N Patel1, Joshua M Gorham1, Kaoru Ito2
1Department of Genetics, Harvard Medical School, Boston, Massachusetts.
Abstract:
Identification of sequence variants that create or eliminate splice sites has proven to be a significant challenge and represents one of many roadblocks in the clinical interpretation of rare genetic variation. Current methods of identifying splice altering sequence variants exist, however, these are limited by an imperfect understanding of splice signals and cumbersome functional assays. We have recently developed a computational tool that prioritizes putative splice-altering sequence variants, and a moderate-throughput minigene assay that confirms the variants which alter splicing. This bioinformatic strategy represents a substantial increase in accuracy and efficiency of historical in vitro splicing assays. In this unit we give detailed instructions on how to organize, run, and interpret various features of this protocol. We expect that splice-altering variants revealed through this protocol can be reliably carried forward for further clinical and biological analyses.
Insights
Identifying genetic variants affecting RNA splicing is challenging for rare disease diagnosis. Our new computational tool and minigene assay accurately and efficiently detect splice-altering variants for clinical analysis.
Area of Science:
- Genetics
- Molecular Biology
- Bioinformatics
Background:
- Identifying sequence variants that alter RNA splicing is crucial for interpreting rare genetic variations.
- Existing methods for detecting splice-altering variants are limited by incomplete knowledge of splicing signals and inefficient assays.
Purpose of the Study:
- To present a novel computational tool and minigene assay for accurate and efficient identification of splice-altering sequence variants.
- To provide detailed instructions for implementing this protocol in research and clinical settings.
Main Methods:
- Development of a computational tool to prioritize putative splice-altering sequence variants.
- Utilization of a moderate-throughput minigene assay to experimentally confirm variants affecting splicing.
- Detailed protocol for organizing, executing, and interpreting splicing assays.
Main Results:
- The combined bioinformatic and experimental strategy significantly improves accuracy and efficiency compared to traditional in vitro splicing assays.
- The protocol reliably identifies splice-altering variants.
Conclusions:
- This integrated approach enhances the detection of splice-altering variants, overcoming a key challenge in rare genetic variation analysis.
- Validated splice-altering variants can be confidently used for further clinical and biological investigations.
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