Low hit validation rate for Dharmacon siGENOME screens
Good experimental design is important when validating hits from RNAi screens.
Citations of our Nucleic Acids Research Paper
Our 2014 Nucleic Acids Research paper provides an excellent overview of the siPOOL technology. Google Scholar shows that our paper has been cited 64 times.
Performing target validation well
This blogpost describes issues encountered in target validation and how to safeguard against poor reproducibility in RNAi experiments.
Low complexity pooling does not prevent siRNA off-targets
Low-complexity siRNA pooling (e.g. Dharmacon siGENOME SMARTpools) does not prevent siRNA off-targets. It may in fact exacerbate off-target effects. Only high-complexity pooling (siPOOLs) can reliably ensure on-target phenotypes.
Correcting seed-based off-target effects in RNAi screens
Unlocking RNAi screening potential by correcting seed-based off-target effects. While seed correction methods yield minor improvements, challenges persist in interpreting strongest hits. The quest for precise reagents, like high-complexity siPOOLs, remains crucial for reliable results.
Making sense of siGENOME deconvolution
Deconvolution of Dharmacon siGENOME pools shows surprising results, with low correlation to target genes and significant seed effects.
The final RNAiL?
Explore the debate over RNAi's viability post-CRISPR revelations. Lin et al.'s findings challenge RNAi's efficacy, but nuances suggest RNAi still has value, albeit with precautions against off-target effects
Where's the beef?
Uncover the impact of on- vs. off-target effects in RNAi screening. Analysis of Hasson et al.'s genome-wide screen reveals the prevalence of off-target effects, emphasizing the need for precise siRNA libraries.
Classic Papers Series: Lin et al. show RNAi screen dominated by seed effects
Classic Papers Series: Lin et al. show RNAi screen dominated by seed effects Classic Papers Series: Lin et al. show RNAi screen dominated...
Knocking out the phenotype
Explore the implications of gene knockout on phenotype. Learn from recent research indicating a lack of phenotypic response when knocking out klf2a, contrasting with knockdown outcomes.
