ArticleProceedings of the National Academy of Sciences of the United States of America2014
Specific inhibition of diverse pathogens in human cells by synthetic microRNA-like oligonucleotides inferred from RNAi screens.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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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.
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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.
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Who cites it
41 citing papers in PubMed.
- Developing therapeutic strategies to target MCL1 and BCLXL in lethal prostate cancer.iScience · 2025Article
- Identification of antiviral RNAi regulators, ILF3/DHX9, recruit at ZIKV stem loop B to protect against ZIKV induced microcephaly.Nature communications · 2025Article
- Exploring retinal degenerative diseases through CRISPR-based screening.Molecular biology reports · 2024Review
- Advancements in genome editing tools for genetic studies and crop improvement.Frontiers in plant science · 2024Review
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- Article
- RNA Interference for Improving Disease Resistance in Plants and Its Relevance in This Clustered Regularly Interspaced Short Palindromic Repeats-Dominated Era in Terms of dsRNA-Based Biopesticides.Frontiers in plant science · 2022Review
- Nosema bombycis microRNA-like RNA 8 (Nb-milR8) Increases Fungal Pathogenicity by ModulatingMicrobiology spectrum · 2021Article
- Cross-species RNA-seq for deciphering host-microbe interactions.Nature reviews. Genetics · 2021Review
- A Gene Expression High-Throughput Screen (GE-HTS) for Coordinated Detection of Functionally Similar Effectors in Cancer.Cancers · 2020Review
- Mapping regulators of cell fate determination: Approaches and challenges.APL bioengineering · 2020Review
- Advances in high-throughput methods for the identification of virus receptors.Medical microbiology and immunology · 2020Review
- A Role for the VPS Retromer inmSphere · 2019Article
- Growth-restricting effects of siRNA transfections: a largely deterministic combination of off-target binding and hybridization-independent competition.Nucleic acids research · 2018Article
- Development of an integrated CRISPRi targeting ΔNp63 for treatment of squamous cell carcinoma.Oncotarget · 2018Article
- Identifying HIPK1 as Target of miR-22-3p Enhancing Recombinant Protein Production From HEK 293 Cell by Using Microarray and HTP siRNA Screen.Biotechnology journal · 2018Article
- Importin α1 is required for nuclear import of herpes simplex virus proteins and capsid assembly in fibroblasts and neurons.PLoS pathogens · 2018Article
- Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells.Genome medicine · 2017Article
- Detection of COPB2 as a KRAS synthetic lethal partner through integration of functional genomics screens.Oncotarget · 2017Article
- Article
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17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systematic genetic perturbation screening in human cells remains technically challenging. Typically, large libraries of chemically synthesized siRNA oligonucleotides are used, each designed to degrade a specific cellular mRNA via the RNA interference (RNAi) mechanism. Here, we report on data from three genome-wide siRNA screens, conducted to uncover host factors required for infection of human cells by two bacterial and one viral pathogen. We find that the majority of phenotypic effects of siRNAs are unrelated to the intended "on-target" mechanism, defined by full complementarity of the 21-nt siRNA sequence to a target mRNA. Instead, phenotypes are largely dictated by "off-target" effects resulting from partial complementarity of siRNAs to multiple mRNAs via the "seed" region (i.e., nucleotides 2-8), reminiscent of the way specificity is determined for endogenous microRNAs. Quantitative analysis enabled the prediction of seeds that strongly and specifically block infection, independent of the intended on-target effect. This prediction was confirmed experimentally by designing oligos that do not have any on-target sequence match at all, yet can strongly reproduce the predicted phenotypes. Our results suggest that published RNAi screens have primarily, and unintentionally, screened the sequence space of microRNA seeds instead of the intended on-target space of protein-coding genes. This helps to explain why previously published RNAi screens have exhibited relatively little overlap. Our analysis suggests a possible way of identifying "seed reagents" for controlling phenotypes of interest and establishes a general strategy for extracting valuable untapped information from past and future RNAi screens.
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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.