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Variable Dose Analysis: A Novel High-throughput RNAi Screening Method for Drosophila Cells.
- Source :
-
Bio-protocol [Bio Protoc] 2018 Dec 20; Vol. 8 (24), pp. e3112. Date of Electronic Publication: 2018 Dec 20 (Print Publication: 2018). - Publication Year :
- 2018
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Abstract
- Genetic screens are a powerful approach to identify previously uncharacterized genes involved in specific biological processes. Several technologies have been developed for high-throughput screens using reagents such as RNAi or CRISPR, and each approach is associated with specific advantages and disadvantages. Variable Dose Analysis (VDA), is an RNAi-based method developed in Drosophila cells that improves signal-to-noise ratio compared to previous methods. VDA assays are performed by co-transfecting cells with a plasmid expressing shRNA, (a type of RNAi that can be easily expressed from a DNA plasmid) against a gene of interest and a second plasmid expressing a fluorescent reporter protein. Fluorescent protein expression, can be used as an indirect readout of shRNA expression and therefore target gene knockdown efficiency. Using this approach, we can measure phenotypes over a range of knockdown efficiencies in a single sample. When applied to genetic interaction screens, VDA results in improved consistency between screens and reliable detection of known interactions. Furthermore, because phenotypes are analyzed over a range of target gene knockdown efficiencies, VDA allows the detection of phenotypes and genetic interactions involving essential genes at sub-lethal knockdown efficiency. This therefore represents a powerful approach to high-throughput screening applicable to a wide range of biological questions.<br />Competing Interests: Competing interestsThe authors have nothing to disclose.<br /> (Copyright © 2018 The Authors; exclusive licensee Bio-protocol LLC.)
Details
- Language :
- English
- ISSN :
- 2331-8325
- Volume :
- 8
- Issue :
- 24
- Database :
- MEDLINE
- Journal :
- Bio-protocol
- Publication Type :
- Academic Journal
- Accession number :
- 34532554
- Full Text :
- https://doi.org/10.21769/BioProtoc.3112