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A 1,536-well ultra-high-throughput siRNA screen to identify regulators of the Wnt/beta-catenin pathway
- Source :
- Assay and drug development technologies. 8(3)
- Publication Year :
- 2010
-
Abstract
- High-throughput siRNA screens are now widely used for identifying novel drug targets and mapping disease pathways. Despite their popularity, there remain challenges related to data variability, primarily due to measurement errors, biological variance, uneven transfection efficiency, the efficacy of siRNA sequences, or off-target effects, and consequent high false discovery rates. Data variability can be reduced if siRNA screens are performed in replicate. Running a large-scale siRNA screen in replicate is difficult, however, because of the technical challenges related to automating complicated steps of siRNA transfection, often with multiplexed assay readouts, and controlling environmental humidity during long incubation periods. Small-molecule screens have greatly benefited in the past decade from assay miniaturization to high-density plates such that 1,536-well nanoplate screenings are now a routine process, allowing fast, efficient, and affordable operations without compromising underlying biology or important assay characteristics. Here, we describe the development of a 1,536-well nanoplate siRNA transfection protocol that utilizes the instruments commonly found in small-molecule high throughput screening laboratories. This protocol was then successfully demonstrated in a triplicate large-scale siRNA screen for the identification of regulators of the Wnt/beta-catenin pathway.
- Subjects :
- Data variability
Computer science
High-throughput screening
Drug Evaluation, Preclinical
Computational biology
Bioinformatics
Transfection
Drug Discovery
Tumor Cells, Cultured
Animals
Humans
RNA, Small Interfering
Throughput (business)
Cells, Cultured
beta Catenin
Gene Library
Miniaturization
Environmental humidity
Wnt signaling pathway
Data interpretation
Reproducibility of Results
Wnt Proteins
Catenin
Data Interpretation, Statistical
Molecular Medicine
Algorithms
Signal Transduction
Subjects
Details
- ISSN :
- 15578127
- Volume :
- 8
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Assay and drug development technologies
- Accession number :
- edsair.doi.dedup.....5f528446eb836f1f6ae2b8882f18e716