Source 1primary paper2025MED
Toolkit/allulose-mediated auto-inducible protein expression system
allulose-mediated auto-inducible protein expression system
Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
Based on the developed PABs, we present the inducer-free allulose-mediated auto-inducible protein expression system.
Usefulness & Problems
Why this is useful
This system uses the developed allulose-responsive biosensors to drive protein expression automatically in response to allulose. The abstract emphasizes that it is inducer-free.; inducer-free protein expression; allulose-triggered expression control
Source:
This system uses the developed allulose-responsive biosensors to drive protein expression automatically in response to allulose. The abstract emphasizes that it is inducer-free.
Source:
inducer-free protein expression
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allulose-triggered expression control
Problem solved
It solves the need for externally added inducer in protein expression control by using allulose-mediated auto-induction.; provides auto-inducible protein expression without added inducer
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It solves the need for externally added inducer in protein expression control by using allulose-mediated auto-induction.
Source:
provides auto-inducible protein expression without added inducer
Problem links
provides auto-inducible protein expression without added inducer
LiteratureIt solves the need for externally added inducer in protein expression control by using allulose-mediated auto-induction.
Source:
It solves the need for externally added inducer in protein expression control by using allulose-mediated auto-induction.
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.
access tunnel designligand binding designallosteric transition designallulose-triggered transcriptional regulationCRISPR interference-mediated dynamic regulationstructure-guided computational design
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 reusable architecture pattern for arranging parts into an engineered system.
Techniques
No technique tags yet.
Target processes
recombinationImplementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
It requires the developed PAB biosensor layer and an allulose-responsive expression architecture. The abstract does not specify additional hardware or delivery requirements.; depends on the developed PAB biosensors; requires allulose-mediated triggering
The abstract does not show that it solves all expression optimization problems such as maximal titer, burden, or host portability.; abstract does not report detailed expression benchmarks or operating constraints
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
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.
allulose titer increase 68 %yield 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.
EC50 16 mMEC50 0.8 mMsensitivity increase 20 fold
The PAB box has a reported detection range from 10 bcM to 100 mM.
detection range lower bound 10 bcMdetection range upper bound 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
1 source1 linked approval claimfirst-pass slug allulose-mediated-auto-inducible-protein-expression-system
Based on the developed PABs, we present the inducer-free allulose-mediated auto-inducible protein expression system.
Source:
tool applicationsupports
The developed PABs were used to create an inducer-free allulose-mediated auto-inducible protein expression system.
Source:
Comparisons
Source-stated alternatives
The source contrasts this system with inducer-dependent expression approaches only indirectly by calling it inducer-free.
Source:
The source contrasts this system with inducer-dependent expression approaches only indirectly by calling it inducer-free.
Source-backed strengths
described as inducer-free; built from the developed allulose-responsive biosensors
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described as inducer-free
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built from the developed allulose-responsive biosensors
allulose-mediated auto-inducible protein expression system and cell-specific receptor subtype gene deletion mouse models address a similar problem space because they share recombination.
Shared frame: same top-level item type; shared target processes: recombination
Strengths here: looks easier to implement in practice.
allulose-mediated auto-inducible protein expression system and CheRiff + jRCaMP1b + RH237 cardiac all-optical electrophysiology platform address a similar problem space because they share recombination.
Shared frame: same top-level item type; shared target processes: recombination
Strengths here: looks easier to implement in practice.
Compared with eNpHR
allulose-mediated auto-inducible protein expression system and eNpHR address a similar problem space because they share recombination.
Shared frame: same top-level item type; shared target processes: recombination
Strengths here: looks easier to implement in practice; may avoid an exogenous cofactor requirement.
Ranked Citations
- 1.