ArticleACS chemical biology2018
Multidimensional Control of Cas9 by Evolved RNA Polymerase-Based Biosensors.
Article in ACS chemical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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
17 citing papers in PubMed, 35 citations in OpenAlex.
- Fluorogenic RNA Aptamer-Based Activity Quantification of T7 RNA Polymerase.Biochemistry · 2026Article
- A modular cell-free protein biosensor platform using split T7 RNA polymerase.Science advances · 2025Article
- A modular cell-free protein biosensor platform using split T7 RNA polymerase.bioRxiv : the preprint server for biology · 2024Article
- Article
- Target-dependent RNA polymerase as universal platform for gene expression control in response to intracellular molecules.Nature communications · 2023Article
- Paving the Way for a Green Transition in the Design of Sensors and Biosensors for the Detection of Volatile Organic Compounds (VOCs).Biosensors · 2022Review
- Article
- Phage-Assisted Continuous Evolution and Selection of Enzymes for Chemical Synthesis.ACS central science · 2021Article
- A System for the Evolution of Protein-Protein Interaction Inducers.ACS synthetic biology · 2021Article
- Continuous evolution of SpCas9 variants compatible with non-G PAMs.Nature biotechnology · 2020Article
- Split T7 RNA polymerase biosensors to study multiprotein interaction dynamics.Methods in enzymology · 2020Article
- Development of a Split Esterase for Protein-Protein Interaction-Dependent Small-Molecule Activation.ACS central science · 2019Article
- A Novel Split Reporter Uncages New Possibilities.ACS central science · 2019Article
- Palmitoylation is required for TNF-R1 signaling.Cell communication and signaling : CCS · 2019Article
- Evolution of C-Terminal Modification Tolerance in Full-Length and Split T7 RNA Polymerase Biosensors.Chembiochem : a European journal of chemical biology · 2019Article
- Precision Control of CRISPR-Cas9 Using Small Molecules and Light.Biochemistry · 2019Review
- StaPLs: versatile genetically encoded modules for engineering drug-inducible proteins.Nature methods · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Systems to control Cas9 with spatial and temporal precision offer opportunities to decrease side effects, protect sensitive tissues, and create gene therapies that are only activated at defined times and places. Here, we present the design of new Cas9 controllers based on RNA polymerase (RNAP)-based biosensors that produce gRNAs, thereby regulating target knockout. After development and validation of a new abscisic acid-inducible biosensor to control Cas9, we lowered the background of the system using continuous evolution. To showcase the versatility of the approach, we designed biosensors that measure medically relevant protein-protein interactions to drive knockout. Finally, to test whether orthogonal RNAP biosensors could integrate multiple input signals to drive multiple gRNA-based outputs with a single Cas9 protein, we designed an "on-switch/off switch" controller. The addition of one input activates the "on switch" and induces knockout, while the addition of a second input activates the "off switch" and produces a gRNA that directs the Cas9 protein to degrade the "on switch" gRNA vector, thereby deactivating it. This combined activation and deactivation system displayed very low background and inducible target knockout using different combinations of small-molecule treatment. Our results establish engineered RNAP biosensors as deployable Cas9 control elements and open up new opportunities for driving genetic editing technologies by diverse input signals.
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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.