Toolkit/Boolean logic gates

Boolean logic gates

Multi-Component Switch·Research·Since 2015

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

Taxonomy & Function

Primary hierarchy

Mechanism Branch

Architecture: A composed arrangement of multiple parts that instantiates one or more mechanisms.

Target processes

recombination

Implementation Constraints

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

Ranked Claims

Claim 1application potentialsupports2019Source 1needs review

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
Claim 2application potentialsupports2019Source 1needs review

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
Claim 3application potentialsupports2019Source 1needs review

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
Claim 4application potentialsupports2019Source 1needs review

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
Claim 5application potentialsupports2019Source 1needs review

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
Claim 6application potentialsupports2019Source 1needs review

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
Claim 7application potentialsupports2019Source 1needs review

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
Claim 8design strategysupports2019Source 1needs review

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
Claim 9design strategysupports2019Source 1needs review

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
Claim 10design strategysupports2019Source 1needs review

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
Claim 11design strategysupports2019Source 1needs review

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
Claim 12design strategysupports2019Source 1needs review

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
Claim 13design strategysupports2019Source 1needs review

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
Claim 14design strategysupports2019Source 1needs review

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
Claim 15application scopesupports2015Source 2needs review

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
Claim 16application scopesupports2015Source 2needs review

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
Claim 17application scopesupports2015Source 2needs review

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
Claim 18application scopesupports2015Source 2needs review

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
Claim 19application scopesupports2015Source 2needs review

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
Claim 20application scopesupports2015Source 2needs review

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
Claim 21application scopesupports2015Source 2needs review

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
Claim 22combinatorial logicsupports2015Source 2needs review

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
Claim 23combinatorial logicsupports2015Source 2needs review

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
Claim 24combinatorial logicsupports2015Source 2needs review

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
Claim 25combinatorial logicsupports2015Source 2needs review

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
Claim 26combinatorial logicsupports2015Source 2needs review

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
Claim 27combinatorial logicsupports2015Source 2needs review

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
Claim 28combinatorial logicsupports2015Source 2needs review

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
Claim 29detection scopesupports2015Source 2needs review

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.
Claim 30detection scopesupports2015Source 2needs review

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.
Claim 31detection scopesupports2015Source 2needs review

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.
Claim 32detection scopesupports2015Source 2needs review

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.
Claim 33detection scopesupports2015Source 2needs review

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.
Claim 34detection scopesupports2015Source 2needs review

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.
Claim 35detection scopesupports2015Source 2needs review

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.
Claim 36interoperabilitysupports2015Source 2needs review

Most of the systems presented in the review can be integrated together.

Most of the systems that are presented can be integrated together
Claim 37interoperabilitysupports2015Source 2needs review

Most of the systems presented in the review can be integrated together.

Most of the systems that are presented can be integrated together
Claim 38interoperabilitysupports2015Source 2needs review

Most of the systems presented in the review can be integrated together.

Most of the systems that are presented can be integrated together
Claim 39interoperabilitysupports2015Source 2needs review

Most of the systems presented in the review can be integrated together.

Most of the systems that are presented can be integrated together
Claim 40interoperabilitysupports2015Source 2needs review

Most of the systems presented in the review can be integrated together.

Most of the systems that are presented can be integrated together
Claim 41interoperabilitysupports2015Source 2needs review

Most of the systems presented in the review can be integrated together.

Most of the systems that are presented can be integrated together
Claim 42interoperabilitysupports2015Source 2needs review

Most of the systems presented in the review can be integrated together.

Most of the systems that are presented can be integrated together
Claim 43logic complexitysupports2015Source 2needs review

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
Claim 44logic complexitysupports2015Source 2needs review

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
Claim 45logic complexitysupports2015Source 2needs review

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
Claim 46logic complexitysupports2015Source 2needs review

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
Claim 47logic complexitysupports2015Source 2needs review

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
Claim 48logic complexitysupports2015Source 2needs review

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
Claim 49logic complexitysupports2015Source 2needs review

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.

Ranked Citations

  1. 1.
    StructuralSource 1PLANT PHYSIOLOGY2019Claim 1Claim 2Claim 3

    Seeded from load plan for claim cl3. Extracted from this source document.

  2. 2.
    StructuralSource 2Integrative Biology2015Claim 15Claim 16Claim 17

    Seeded from load plan for claim cl6. Extracted from this source document.