ArticleNucleic acids research2017
CRISPR/Cas9-based genome editing for simultaneous interference with gene expression and protein stability.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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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Who cites it
6 citing papers in PubMed.
- Transcriptomic Profiling Reveals Isoform-Specific Regulatory Roles of miR-196A and miR-196B in Colorectal Cancer Cells.International journal of molecular sciences · 2026Article
- A standardized genome architecture for bacterial synthetic biology (SEGA).Nature communications · 2021Article
- Microbial proteases: ubiquitous enzymes with innumerable uses.3 Biotech · 2021Review
- Production of Terpenoids by Synthetic Biology Approaches.Frontiers in bioengineering and biotechnology · 2020Review
- Programmable biomolecular switches for rewiring flux in Escherichia coli.Nature communications · 2019Article
- Fine-tuning gene expression for improved biosynthesis of natural products: From transcriptional to post-translational regulation.Biotechnology advancesReview
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Interference with genes is the foundation of reverse genetics and is key to manipulation of living cells for biomedical and biotechnological applications. However, classical genetic knockout and transcriptional knockdown technologies have different drawbacks and offer no control over existing protein levels. Here, we describe an efficient genome editing approach that affects specific protein abundances by changing the rates of both RNA synthesis and protein degradation, based on the two cross-kingdom control mechanisms CRISPRi and the N-end rule for protein stability. In addition, our approach demonstrates that CRISPRi efficiency is dependent on endogenous gene expression levels. The method has broad applications in e.g. study of essential genes and antibiotics discovery.
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Registered trials
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