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Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Huan-Huan Wei1, Yuanlong Liu1, Yang Wang2
1Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences (SIBS).
Researchers engineered artificial RNA binding proteins called Engineered Splicing Factors (ESFs) to precisely control alternative splicing. This new method allows targeted manipulation of RNA processing for studying gene function and developing novel therapeutic strategies.
Area of Science:
- Molecular Biology
- RNA Biology
- Gene Regulation
Background:
- RNA Binding Proteins (RBPs) regulate eukaryotic RNA processing through modular domains.
- The Pumilio (PUF) domain offers a programmable RNA binding scaffold for engineering artificial RBPs.
- Previous work established PUF-based scaffolds for manipulating RNA metabolism.
Purpose of the Study:
- To describe a detailed protocol for constructing Engineered Splicing Factors (ESFs).
- To enable specific modulation of alternative splicing (AS) in target genes.
- To provide a new strategy for studying splicing regulation and isoform function.
Main Methods:
- Designing and constructing customized PUF scaffolds for specific RNA targets.
- Creating ESF expression plasmids by fusing designer PUF domains with effector domains.
- Utilizing splicing reporters and cultured human cells to assay ESF activity and splicing changes.
Main Results:
- Demonstrated the successful design and construction of ESFs.
- Showcased the application of ESFs in manipulating alternative splicing in human cells.
- Validated ESF-induced splicing changes and their downstream effects.
Conclusions:
- The developed protocol enables the design and generation of ESFs for targeted alternative splicing regulation.
- ESFs offer a versatile platform for studying splicing mechanisms and RNA processing.
- This approach facilitates the engineering of artificial factors for diverse RNA manipulation applications.
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