ReviewNature methods2009
Statistical methods for analysis of high-throughput RNA interference screens.
Review in Nature methods, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 338 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
338 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Genome-wide analysis of host-encoded microRNAs modulating SARS-CoV-2 infection.Scientific data · 2025Article
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- An integrated proteomics approach identifies phosphorylation sites on viral and host proteins that regulate West Nile virus infection.Cell reports · 2025Article
- A high-throughput differential chemical genetic screen uncovers genotype-specific compounds altering plant growth.iScience · 2025Article
- Drug and siRNA screens identify ROCK2 as a therapeutic target for ciliopathies.Communications medicine · 2025Article
- Novel determinants of NOTCH1 trafficking and signaling in breast epithelial cells.Life science alliance · 2025Article
- RNAi library screening reveals Gβ1, Casein Kinase 2 and ICAP-1 as novel regulators of LFA-1-mediated T cell polarity and migration.Immunology and cell biology · 2025Article
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- Spatial differences in gene expression across the dorsal raphe nucleus in a model of early Alzheimer's disease.Journal of Alzheimer's disease : JAD · 2025Article
- Systematic data analysis pipeline for quantitative morphological cell phenotyping.Computational and structural biotechnology journal · 2024Review
- Generating and validating renewable affimer protein binding reagents targeting SH2 domains.Scientific reports · 2024Article
278 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
RNA interference (RNAi) has become a powerful technique for reverse genetics and drug discovery, and in both of these areas large-scale high-throughput RNAi screens are commonly performed. The statistical techniques used to analyze these screens are frequently borrowed directly from small-molecule screening; however, small-molecule and RNAi data characteristics differ in meaningful ways. We examine the similarities and differences between RNAi and small-molecule screens, highlighting particular characteristics of RNAi screen data that must be addressed during analysis. Additionally, we provide guidance on selection of analysis techniques in the context of a sample workflow.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.