Source 1review2015Integrative Biology
Toolkit/novel detectors
novel detectors
Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
Novel detectors are a synthetic circuit design pattern in which biological circuits are engineered to detect defined events and couple detection to specific outputs. The cited source also places these constructs in the context of temporally or spatially controlled inducers for signaling-related applications.
Usefulness & Problems
Why this is useful
This design pattern is useful for probing endogenous biological circuitry and for building systems that convert detected biological events into controlled outputs. The source specifically highlights utility in creating detectors and inducers with temporal or spatial control.
Source:
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Problem solved
It addresses the problem of linking event detection in biological systems to predefined output activation through engineered circuit logic. The cited evidence further indicates that these circuits can integrate multiple signal modalities to specify when an output should be triggered.
Source:
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Problem links
Need conditional control of signaling activity
DerivedNovel detectors are a synthetic circuit design pattern in which biological circuits are engineered to detect defined events and couple detection to specific outputs. The cited source also places these constructs in the context of temporally or spatially controlled inducers for signaling-related applications.
Taxonomy & Function
Primary hierarchy
Mechanism Branch
Architecture: A reusable architecture pattern for arranging parts into an engineered system.
Mechanisms
event-triggered output activationsignal integrationspatial control of inductiontemporal control of inductionTechniques
No technique tags yet.
Target processes
signalingImplementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
The evidence supports implementation at the level of synthetic circuit design using combinatorial logic and signal integration. No details are provided on promoters, sensors, effectors, delivery methods, cofactors, or expression systems.
The available evidence is conceptual and does not provide a specific construct architecture, molecular parts, host organism, or quantitative performance data. Independent validation, dynamic range, specificity, and implementation constraints are not described in the supplied source excerpts.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Signal integration circuits can combine modalities so that detection of a particular event automatically triggers a specific output.
we highlight some tools that were developed in which these circuits were combined such that the detection of a particular event automatically triggered a specific output
Signal integration circuits can combine modalities so that detection of a particular event automatically triggers a specific output.
we highlight some tools that were developed in which these circuits were combined such that the detection of a particular event automatically triggered a specific output
Signal integration circuits can combine modalities so that detection of a particular event automatically triggers a specific output.
we highlight some tools that were developed in which these circuits were combined such that the detection of a particular event automatically triggered a specific output
Signal integration circuits can combine modalities so that detection of a particular event automatically triggers a specific output.
we highlight some tools that were developed in which these circuits were combined such that the detection of a particular event automatically triggered a specific output
Signal integration circuits can combine modalities so that detection of a particular event automatically triggers a specific output.
we highlight some tools that were developed in which these circuits were combined such that the detection of a particular event automatically triggered a specific output
Signal integration circuits can combine modalities so that detection of a particular event automatically triggers a specific output.
we highlight some tools that were developed in which these circuits were combined such that the detection of a particular event automatically triggered a specific output
Signal integration circuits can combine modalities so that detection of a particular event automatically triggers a specific output.
we highlight some tools that were developed in which these circuits were combined such that the detection of a particular event automatically triggered a specific output
Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.
One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.
Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.
One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.
Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.
One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.
Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.
One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.
Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.
One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.
Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.
One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.
Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.
One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.
Most of the systems presented in the review can be integrated together.
Most of the systems that are presented can be integrated together
Most of the systems presented in the review can be integrated together.
Most of the systems that are presented can be integrated together
Most of the systems presented in the review can be integrated together.
Most of the systems that are presented can be integrated together
Most of the systems presented in the review can be integrated together.
Most of the systems that are presented can be integrated together
Most of the systems presented in the review can be integrated together.
Most of the systems that are presented can be integrated together
Most of the systems presented in the review can be integrated together.
Most of the systems that are presented can be integrated together
Most of the systems presented in the review can be integrated together.
Most of the systems that are presented can be integrated together
Synthetic circuit-design strategies have produced Boolean logic gates integrating multiple inputs, with examples composed of up to 6 inputs.
circuits have been developed that can integrate multiple inputs together in Boolean logic gates composed of up to 6 inputs
maximum input count 6 inputs
Synthetic circuit-design strategies have produced Boolean logic gates integrating multiple inputs, with examples composed of up to 6 inputs.
circuits have been developed that can integrate multiple inputs together in Boolean logic gates composed of up to 6 inputs
maximum input count 6 inputs
Synthetic circuit-design strategies have produced Boolean logic gates integrating multiple inputs, with examples composed of up to 6 inputs.
circuits have been developed that can integrate multiple inputs together in Boolean logic gates composed of up to 6 inputs
maximum input count 6 inputs
Synthetic circuit-design strategies have produced Boolean logic gates integrating multiple inputs, with examples composed of up to 6 inputs.
circuits have been developed that can integrate multiple inputs together in Boolean logic gates composed of up to 6 inputs
maximum input count 6 inputs
Synthetic circuit-design strategies have produced Boolean logic gates integrating multiple inputs, with examples composed of up to 6 inputs.
circuits have been developed that can integrate multiple inputs together in Boolean logic gates composed of up to 6 inputs
maximum input count 6 inputs
Synthetic circuit-design strategies have produced Boolean logic gates integrating multiple inputs, with examples composed of up to 6 inputs.
circuits have been developed that can integrate multiple inputs together in Boolean logic gates composed of up to 6 inputs
maximum input count 6 inputs
Synthetic circuit-design strategies have produced Boolean logic gates integrating multiple inputs, with examples composed of up to 6 inputs.
circuits have been developed that can integrate multiple inputs together in Boolean logic gates composed of up to 6 inputs
maximum input count 6 inputs
Approval Evidence
1 source3 linked approval claimsfirst-pass slug novel-detectors
develop novel detectors and better temporally and spatially controlled inducers
Source:
application scopesupports
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Source:
detection scopesupports
Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.
One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.
Source:
interoperabilitysupports
Most of the systems presented in the review can be integrated together.
Most of the systems that are presented can be integrated together
Source:
Comparisons
Source-backed strengths
A key strength is the ability to perform signal integration so that detection of a particular event automatically triggers a specific output. The source also supports the broader conceptual advantage of using synthetic circuits to generate temporally or spatially controlled induction behaviors.
Compared with engineered GEF-Pak1 interaction
novel detectors and engineered GEF-Pak1 interaction address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling
Compared with kinase translocation reporters
novel detectors and kinase translocation reporters address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling
novel detectors and novel fluorescent biosensor for mitochondrial outer membrane rupture address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling
Ranked Citations
- 1.