Toolkit/allulose-triggered CRISPR interference circuit
allulose-triggered CRISPR interference circuit
Also known as: ATCi
Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
Based on the developed PABs, we ... demonstrate an allulose-triggered CRISPR interference circuit for dynamic metabolic regulation. It facilitates a 68% increase in allulose titer and achieves a high yield of 0.43 g/g glucose.
Usefulness & Problems
No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.
Published Workflows
Objective: Engineer an allulose-responsive transcription-factor biosensor toolbox with improved sensitivity and use it to build allulose-triggered expression and CRISPRi regulation systems for metabolic engineering.
Why it works: The workflow is presented as using structure-guided redesign of PsiR to improve allulose sensing, then leveraging the improved biosensor as an input-responsive control layer for auto-inducible expression and CRISPRi circuits.
Stages
- 1.Structure-guided computational design of allulose-responsive PsiR(library_design)
This stage exists to overcome the challenge of computationally designing complex effector-TF-DNA systems and to improve the performance of the allulose-responsive biosensor before downstream deployment.
Selection: redesign of access tunnel, ligand binding, and allosteric transition process to improve allulose responsiveness
- 2.Biosensor performance characterization(functional_characterization)
This stage exists to confirm that the redesigned biosensor has improved sensing performance suitable for downstream circuit construction.
Selection: EC50 reduction, sensitivity increase, and detection range of PsiR-allulose biosensors
- 3.Broader applicability validation in LacI-IPTG biosensor(confirmatory_validation)
This stage exists to test whether the design strategy extends beyond the PsiR-allulose system.
Selection: ability of the design approach to enhance sensitivity in another biosensor system
- 4.Deployment into auto-inducible expression and CRISPRi regulation systems(confirmatory_validation)
This stage exists to demonstrate that the improved biosensor toolbox can function as a practical control layer for biotechnology applications.
Selection: successful use of developed PABs in downstream allulose-triggered regulatory circuits
Taxonomy & Function
Primary hierarchy
Mechanism Branch
Architecture: A composed arrangement of multiple parts that instantiates one or more mechanisms.
Mechanisms
dynamic metabolic regulationsmall-molecule sensing of allulose by an allulose-responsive biosensortranscriptional repression by crispr interferenceTechniques
No technique tags yet.
Target processes
editingrecombinationValidation
Supporting Sources
Ranked Claims
The allulose-triggered CRISPR interference circuit increased allulose titer by 68% and achieved a yield of 0.43 g/g glucose.
Structure-guided computational design improved the sensitivity of PsiR-allulose biosensors by reducing EC50 from 16 mM to 0.8 mM, corresponding to a 20-fold increase in sensitivity.
The PAB box has a reported detection range from 10 bcM to 100 mM.
The developed PABs were used to create an allulose-triggered CRISPR interference circuit for dynamic metabolic regulation.
The developed PABs were used to create an inducer-free allulose-mediated auto-inducible protein expression system.
Approval Evidence
Based on the developed PABs, we ... demonstrate an allulose-triggered CRISPR interference circuit for dynamic metabolic regulation. It facilitates a 68% increase in allulose titer and achieves a high yield of 0.43 g/g glucose.
Source:
The allulose-triggered CRISPR interference circuit increased allulose titer by 68% and achieved a yield of 0.43 g/g glucose.
Source:
The developed PABs were used to create an allulose-triggered CRISPR interference circuit for dynamic metabolic regulation.
Source:
Comparisons
No literature-backed comparison notes have been materialized for this record yet.
Ranked Citations
- 1.