Since the revolutionary discovery of RNA interference (RNAi) more than 20 years ago, synthetic small interfering RNAs (siRNAs) have held great promise as therapeutic agents for treating human diseases by the specific knockdown of disease-causing gene products. To facilitate the development of siRNA therapeutics, a robust, high-throughput in vitro assay for measuring gene silencing is imperative during the initial siRNA lead sequence identification and, later, during the lead optimization with chemically modified siRNAs. There are several potential assays for measuring gene expression. Quantitative reverse transcription PCR (qRT-PCR) has been widely used to quantitate messenger RNA (mRNA). This method has a few disadvantages, however, such as the requirement for RNA isolation, complementary DNA (cDNA) generation, and PCR reaction, which are labor-intensive, limit the assay throughput, and introduce variability. We chose a high-content imaging assay, bDNA FISH, that combines the branched DNA (bDNA) technology with fluorescence in situ hybridization (FISH) to measure gene silencing by siRNAs because it is sensitive and robust with a short reagent procurement and assay development time. We also built a fully automated liquid-handling platform for executing bDNA FISH assays to increase throughput, and the system has a capacity of generating 192 concentration–response curves in a single run. We have successfully developed and executed the bDNA FISH assays for multiple targets using this automated platform to identify and optimize siRNA candidate molecules. Examples of the bDNA FISH assay for selected targets are presented.
SpotLearn: Convolutional Neural Network for Detection of Fluorescence In Situ Hybridization (FISH) Signals in High-Throughput Imaging Approaches
