Source 1primary paper2025MED
Toolkit/PsiR-allulose biosensors
PsiR-allulose biosensors
Also known as: PAB, PAB box, PABs
Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
It enables a 20-fold increase in sensitivity, reducing the EC50 of PsiR-allulose biosensors (PABs) from 16 mM to 0.8 mM, and delivers a PAB box possessing the detection range from 10 bcM to 100 mM.
Usefulness & Problems
Why this is useful
PsiR-allulose biosensors detect allulose and convert it into transcriptional regulation. The paper reports a redesigned PAB toolbox with improved sensitivity and a broad detection range.; allulose-responsive sensing; building allulose-triggered regulation circuits; supporting auto-inducible expression and CRISPRi control
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PsiR-allulose biosensors detect allulose and convert it into transcriptional regulation. The paper reports a redesigned PAB toolbox with improved sensitivity and a broad detection range.
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allulose-responsive sensing
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building allulose-triggered regulation circuits
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supporting auto-inducible expression and CRISPRi control
Problem solved
It addresses limited sensitivity in allulose-responsive TF biosensors. The improved PABs also provide a sensing layer for downstream allulose-triggered control circuits.; improves sensitivity of allulose-responsive transcription-factor biosensors; provides a broad allulose detection range for regulatory circuit design
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It addresses limited sensitivity in allulose-responsive TF biosensors. The improved PABs also provide a sensing layer for downstream allulose-triggered control circuits.
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improves sensitivity of allulose-responsive transcription-factor biosensors
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provides a broad allulose detection range for regulatory circuit design
Problem links
improves sensitivity of allulose-responsive transcription-factor biosensors
LiteratureIt addresses limited sensitivity in allulose-responsive TF biosensors. The improved PABs also provide a sensing layer for downstream allulose-triggered control circuits.
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It addresses limited sensitivity in allulose-responsive TF biosensors. The improved PABs also provide a sensing layer for downstream allulose-triggered control circuits.
provides a broad allulose detection range for regulatory circuit design
LiteratureIt addresses limited sensitivity in allulose-responsive TF biosensors. The improved PABs also provide a sensing layer for downstream allulose-triggered control circuits.
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It addresses limited sensitivity in allulose-responsive TF biosensors. The improved PABs also provide a sensing layer for downstream allulose-triggered control circuits.
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
Computational DesignTarget processes
editingrecombinationImplementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
The system requires the allulose-responsive transcription factor PsiR and a biosensor construct architecture responsive to allulose. The abstract indicates that structure-guided computational design was used to obtain the improved versions.; requires an allulose-responsive PsiR biosensor architecture; depends on structure-guided computational design of PsiR
The abstract does not show that the biosensor alone solves full pathway optimization or universal transfer across hosts. It also does not define detailed failure modes or off-target responses.; abstract does not specify exact construct variants or host-specific performance boundaries
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 source4 linked approval claimsfirst-pass slug psir-allulose-biosensors
It enables a 20-fold increase in sensitivity, reducing the EC50 of PsiR-allulose biosensors (PABs) from 16 mM to 0.8 mM, and delivers a PAB box possessing the detection range from 10 bcM to 100 mM.
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performance improvementsupports
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.
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performance rangesupports
The PAB box has a reported detection range from 10 bcM to 100 mM.
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tool applicationsupports
The developed PABs were used to create an allulose-triggered CRISPR interference circuit for dynamic metabolic regulation.
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tool applicationsupports
The developed PABs were used to create an inducer-free allulose-mediated auto-inducible protein expression system.
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Comparisons
Source-stated alternatives
The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
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The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Source-backed strengths
20-fold sensitivity improvement reported; broad reported detection range from 10 bcM to 100 mM; used as the basis for downstream expression and CRISPRi systems
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20-fold sensitivity improvement reported
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broad reported detection range from 10 bcM to 100 mM
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used as the basis for downstream expression and CRISPRi systems
Compared with biosensors
The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Shared frame: source-stated alternative in extracted literature
Strengths here: 20-fold sensitivity improvement reported; broad reported detection range from 10 bcM to 100 mM; used as the basis for downstream expression and CRISPRi systems.
Relative tradeoffs: abstract does not specify exact construct variants or host-specific performance boundaries.
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The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Compared with biosensors for active Rho detection
The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Shared frame: source-stated alternative in extracted literature
Strengths here: 20-fold sensitivity improvement reported; broad reported detection range from 10 bcM to 100 mM; used as the basis for downstream expression and CRISPRi systems.
Relative tradeoffs: abstract does not specify exact construct variants or host-specific performance boundaries.
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The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Compared with fluorescent protein based reporters and biosensors
The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Shared frame: source-stated alternative in extracted literature
Strengths here: 20-fold sensitivity improvement reported; broad reported detection range from 10 bcM to 100 mM; used as the basis for downstream expression and CRISPRi systems.
Relative tradeoffs: abstract does not specify exact construct variants or host-specific performance boundaries.
Source:
The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Compared with genetically engineered biosensors
The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Shared frame: source-stated alternative in extracted literature
Strengths here: 20-fold sensitivity improvement reported; broad reported detection range from 10 bcM to 100 mM; used as the basis for downstream expression and CRISPRi systems.
Relative tradeoffs: abstract does not specify exact construct variants or host-specific performance boundaries.
Source:
The abstract contrasts the redesigned PABs with earlier less sensitive PsiR-allulose biosensors. It also mentions LacI-IPTG biosensor engineering as a related biosensor context.
Ranked Citations
- 1.