ArticleScientific reports2019
A one-step tRNA-CRISPR system for genome-wide genetic interaction mapping in mammalian cells.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 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
6 citing papers in PubMed, 10 citations in OpenAlex.
- Concordant transcriptional and morphological remodeling revealed bybioRxiv : the preprint server for biology · 2026Article
- A next-generation dual guide CRISPR system for genetic interaction library screening.Nature communications · 2025Article
- Comprehensive genomic dependency landscape of a human colon cancer organoid.Communications biology · 2025Article
- Pathway-driven analysis of synthetic lethal interactions in cancer using perturbation screens.Life science alliance · 2024Article
- Discovery of synthetic lethal interactions from large-scale pan-cancer perturbation screens.Nature communications · 2022Article
- CRISPR screens in plants: approaches, guidelines, and future prospects.The Plant cell · 2021Review
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 2 institutions in 3 countries.
Funding
Abstract
Mapping genetic interactions in mammalian cells is limited due to technical obstacles. Here we describe a method called TCGI (tRNA-CRISPR for genetic interactions) to generate a high-efficient, barcode-free and scalable pairwise CRISPR libraries in mammalian cells for identifying genetic interactions. We have generated a genome- wide library to identify genes genetically interacting with TAZ in cell viability regulation. Validation of candidate synergistic genes reveals the screening accuracy of 85% and TAZ-MCL1 is characterized as combinational drug targets for non-small cell lung cancer treatments. TCGI has dramatically improved the current methods for mapping genetic interactions and screening drug targets for combinational therapies.
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Registered trials
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