Source 1review2019PLANT PHYSIOLOGY
Toolkit/Boolean logic gates
Boolean logic gates
Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
Boolean logic gates are synthetic genetic circuits that integrate multiple biological inputs into a defined output state. The supplied evidence indicates that such circuits have been developed with up to six inputs and are discussed as components within synthetic circuits of varying complexity.
Usefulness & Problems
Why this is useful
These circuits are useful for combining several biological signals into a single programmed decision, enabling more selective control than single-input switches. In plants, synthetic switches and regulatory circuits are discussed as tools for understanding complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
Source:
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
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
Boolean logic gates address the problem of processing multiple inputs within one engineered biological system to generate a specified logical response. The evidence supports multi-input integration, but does not provide a detailed recombination-specific implementation in the supplied text.
Source:
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
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
Boolean logic gates could plausibly help operationalize multi-input biological state detection, which is relevant when single measurements fail to capture complex disease causality. Their value here would be in integrating several biomarkers or pathway states into one interpretable output.
Taxonomy & Function
Primary hierarchy
Mechanism Branch
Architecture: A composed arrangement of multiple parts that instantiates one or more mechanisms.
Techniques
Computational DesignTarget processes
recombinationImplementation 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
Modular assembly of genetic parts is explicitly presented as a strategy for building synthetic circuits of increasing complexity. However, the provided evidence does not detail construct architecture, delivery method, expression system, or any required cofactors.
The supplied evidence does not specify the molecular parts, host organism for the Boolean gates, output modality, dynamic performance, or quantitative benchmarking. Independent validation, recombination-specific behavior, and practical performance data are not described in the provided material.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Source 2review2015Integrative Biology
Ranked Claims
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Synthetic switches and regulatory circuits in plants are discussed as enabling understanding of complex signaling networks, improving crop productivity, and producing biopharmaceuticals.
we explore potential applications of these approaches for the engineering of novel functionalities in plants, including understanding complex signaling networks, improving crop productivity, and the production of biopharmaceuticals
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
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
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
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
2 sources3 linked approval claimsfirst-pass slug boolean-logic-gates
synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices
Source:
circuits have been developed that can integrate multiple inputs together in Boolean logic gates composed of up to 6 inputs
Source:
design strategysupports
Modular assembly of genetic parts is presented as a strategy for building synthetic circuits of increasing complexity.
We highlight the strategies for the modular assembly of genetic parts into synthetic circuits of different complexity, ranging from Boolean logic gates and oscillatory devices up to semi- and fully synthetic open- and closed-loop molecular and cellular circuits
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:
logic complexitysupports
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
Source:
Comparisons
Source-backed strengths
The main supported strength is scalability of input integration, with reported Boolean logic gates composed of up to six inputs. They are also positioned within a broader framework of synthetic circuits spanning different levels of complexity, indicating compatibility with more elaborate circuit architectures.
Compared with ArrayG
Boolean logic gates and ArrayG 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 GFP-PHR-caspase8/Flag-CIB1N-caspase8
Boolean logic gates and GFP-PHR-caspase8/Flag-CIB1N-caspase8 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 SIBR-Cas
Boolean logic gates and SIBR-Cas address a similar problem space because they share recombination.
Shared frame: same top-level item type; shared target processes: recombination
Ranked Citations
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