Source 1review2015Integrative Biology
Toolkit/signal integration circuits
signal integration circuits
Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
Signal integration circuits are synthetic multi-component biological switches that combine multiple input modalities to produce an output only under a precise pre-programmed set of conditions. The cited literature describes them as tools for event detection and for temporally or spatially controlled induction.
Usefulness & Problems
Why this is useful
These circuits are useful because they enable biological responses to be conditioned on combinatorial inputs rather than a single signal. The cited review further states that synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and controlled inducers.
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
Signal integration circuits address the problem of linking detection of a particular biological event to an automatic and specific output under defined combinatorial conditions. They therefore help solve the need for precise conditional control in synthetic biological sensing and induction.
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
The gap emphasizes multifactorial disease mechanisms and the need to measure or respond to multiple interacting pathways at once. Signal integration circuits are at least directionally aligned because they are designed to combine multiple inputs into a defined readout or response.
Taxonomy & Function
Primary hierarchy
Mechanism Branch
Architecture: A composed arrangement of multiple parts that instantiates one or more mechanisms.
Techniques
No technique tags yet.
Target processes
No target processes tagged yet.
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationimplementation constraint: multi component delivery burdenoperating role: actuatoroperating role: sensorswitch architecture: multi component
The provided evidence indicates that these are multi-component synthetic circuits built to combine input modalities, but it does not specify promoters, regulators, chassis organisms, delivery methods, or construct design rules. Practical implementation details therefore remain unspecified in the supplied sources.
The supplied evidence is conceptual and does not provide specific circuit architectures, host organisms, quantitative performance, or benchmark comparisons. No independent experimental validation details, dynamic range measurements, or failure modes are described in the provided material.
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
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
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
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
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
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.
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.
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
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
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
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
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
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 source2 linked approval claimsfirst-pass slug signal-integration-circuits
one can combine these modalities and develop novel signal integration circuits that can react to a very precise pre-programmed set of conditions
Source:
combinatorial logicsupports
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
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
Their key strength in the supplied evidence is the ability to react to a very precise pre-programmed set of conditions by combining modalities. The literature also positions them as flexible detectors and as systems for temporal or spatial control of induction.
Compared with novel detectors
signal integration circuits and novel detectors address a similar problem space.
Shared frame: shared mechanisms: signal integration
Relative tradeoffs: looks easier to implement in practice.
Compared with PA-Tet-OFF/ON system
signal integration circuits and PA-Tet-OFF/ON system address a similar problem space.
Shared frame: same top-level item type
Strengths here: looks easier to implement in practice.
Compared with UV-B light-responsive gene switch
signal integration circuits and UV-B light-responsive gene switch address a similar problem space.
Shared frame: same top-level item type
Strengths here: looks easier to implement in practice.
Ranked Citations
- 1.