Toolkit/synthetic circuits

synthetic circuits

Multi-Component Switch·Research·Since 2015

Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

Synthetic circuits are multi-component biological switch systems engineered to interrogate endogenous signaling circuitry and to couple detected biological events to defined outputs. The cited source describes their use as detectors and as temporally or spatially controlled inducers through signal integration logic.

Usefulness & Problems

Why this is useful

These systems are useful for probing endogenous biological circuitry and for linking biological event detection to controlled downstream responses. The source specifically highlights their value for building detectors and for imposing temporal or spatial control over 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 solved

Synthetic circuits address the problem of sensing specific biological events and converting those inputs into predefined outputs within a designed logic framework. They also help solve the challenge of systematically investigating endogenous signaling circuitry using engineered multi-component systems.

Source:

using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers

Problem links

Need conditional control of signaling activity

Derived

Synthetic circuits are multi-component biological switch systems used to interrogate endogenous signaling circuitry and to couple detected biological events to defined outputs. The cited source describes their use for building detectors and temporally or spatially controlled inducers through signal integration logic.

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

signaling

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationimplementation constraint: multi component delivery burdenoperating role: regulatoroperating role: sensorswitch architecture: multi component

The evidence supports that these are multi-component engineered systems designed for signal integration and output control. However, the supplied material does not specify construct design rules, host organisms, delivery methods, cofactors, or expression requirements.

The provided evidence is conceptual and application-focused, with no quantitative performance data, specific circuit architectures, or benchmark comparisons. The source excerpt also does not report organism context, dynamic range, response time, false activation rates, or independent validation studies.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1application scopesupports2015Source 1needs 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 2application scopesupports2015Source 1needs 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 3application scopesupports2015Source 1needs 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 4application scopesupports2015Source 1needs 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 5application scopesupports2015Source 1needs 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 6application scopesupports2015Source 1needs 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 7application scopesupports2015Source 1needs 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 8application scopesupports2015Source 1needs 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 9application scopesupports2015Source 1needs 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 10application scopesupports2015Source 1needs 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 11application scopesupports2015Source 1needs 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 12application scopesupports2015Source 1needs 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 13application scopesupports2015Source 1needs 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 14application scopesupports2015Source 1needs 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 15application scopesupports2015Source 1needs 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 1needs 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 1needs 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 1needs 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 1needs 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 1needs 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 1needs 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 22application scopesupports2015Source 1needs 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 23application scopesupports2015Source 1needs 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 24application scopesupports2015Source 1needs 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 25application scopesupports2015Source 1needs 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 26application scopesupports2015Source 1needs 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 27application scopesupports2015Source 1needs 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 28combinatorial logicsupports2015Source 1needs 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 29combinatorial logicsupports2015Source 1needs 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 30combinatorial logicsupports2015Source 1needs 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 31combinatorial logicsupports2015Source 1needs 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 32combinatorial logicsupports2015Source 1needs 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 33combinatorial logicsupports2015Source 1needs 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 34combinatorial logicsupports2015Source 1needs 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 35combinatorial logicsupports2015Source 1needs 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 36combinatorial logicsupports2015Source 1needs 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 37combinatorial logicsupports2015Source 1needs 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 38combinatorial logicsupports2015Source 1needs 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 39combinatorial logicsupports2015Source 1needs 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 40combinatorial logicsupports2015Source 1needs 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 41combinatorial logicsupports2015Source 1needs 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 42combinatorial logicsupports2015Source 1needs 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 43combinatorial logicsupports2015Source 1needs 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 44combinatorial logicsupports2015Source 1needs 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 45combinatorial logicsupports2015Source 1needs 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 46combinatorial logicsupports2015Source 1needs 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 47combinatorial logicsupports2015Source 1needs 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 48detection scopesupports2015Source 1needs 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 49detection scopesupports2015Source 1needs 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 50detection scopesupports2015Source 1needs 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 51detection scopesupports2015Source 1needs 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 52detection scopesupports2015Source 1needs 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 53detection scopesupports2015Source 1needs 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 54detection scopesupports2015Source 1needs 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 55detection scopesupports2015Source 1needs 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 56detection scopesupports2015Source 1needs 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 57detection scopesupports2015Source 1needs 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 58detection scopesupports2015Source 1needs 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 59detection scopesupports2015Source 1needs 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 60detection scopesupports2015Source 1needs 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 61detection scopesupports2015Source 1needs 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 62detection scopesupports2015Source 1needs 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 63detection scopesupports2015Source 1needs 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 64detection scopesupports2015Source 1needs 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 65detection scopesupports2015Source 1needs 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 66detection scopesupports2015Source 1needs 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 67detection scopesupports2015Source 1needs 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 68detection scopesupports2015Source 1needs 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 69detection scopesupports2015Source 1needs 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 70detection scopesupports2015Source 1needs 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 71detection scopesupports2015Source 1needs 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 72detection scopesupports2015Source 1needs 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 73detection scopesupports2015Source 1needs 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 74detection scopesupports2015Source 1needs 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 75interoperabilitysupports2015Source 1needs 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 76interoperabilitysupports2015Source 1needs 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 77interoperabilitysupports2015Source 1needs 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 78interoperabilitysupports2015Source 1needs 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 79interoperabilitysupports2015Source 1needs 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 80interoperabilitysupports2015Source 1needs 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 81interoperabilitysupports2015Source 1needs 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 82interoperabilitysupports2015Source 1needs 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 83interoperabilitysupports2015Source 1needs 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 84interoperabilitysupports2015Source 1needs 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 85interoperabilitysupports2015Source 1needs 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 86interoperabilitysupports2015Source 1needs 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 87interoperabilitysupports2015Source 1needs 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 88interoperabilitysupports2015Source 1needs 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 89interoperabilitysupports2015Source 1needs 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 90interoperabilitysupports2015Source 1needs 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 91interoperabilitysupports2015Source 1needs 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 92interoperabilitysupports2015Source 1needs 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 93interoperabilitysupports2015Source 1needs 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 94interoperabilitysupports2015Source 1needs 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 95interoperabilitysupports2015Source 1needs 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 96interoperabilitysupports2015Source 1needs 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 97interoperabilitysupports2015Source 1needs 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 98interoperabilitysupports2015Source 1needs 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 99interoperabilitysupports2015Source 1needs 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 100interoperabilitysupports2015Source 1needs 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 101interoperabilitysupports2015Source 1needs 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 102logic complexitysupports2015Source 1needs 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 103logic complexitysupports2015Source 1needs 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 104logic complexitysupports2015Source 1needs 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 105logic complexitysupports2015Source 1needs 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 106logic complexitysupports2015Source 1needs 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 107logic complexitysupports2015Source 1needs 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 108logic complexitysupports2015Source 1needs 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 109logic complexitysupports2015Source 1needs 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 110logic complexitysupports2015Source 1needs 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 111logic complexitysupports2015Source 1needs 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 112logic complexitysupports2015Source 1needs 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 113logic complexitysupports2015Source 1needs 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 114logic complexitysupports2015Source 1needs 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 115logic complexitysupports2015Source 1needs 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 116logic complexitysupports2015Source 1needs 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 117logic complexitysupports2015Source 1needs 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 118logic complexitysupports2015Source 1needs 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 119logic complexitysupports2015Source 1needs 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 120logic complexitysupports2015Source 1needs 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 121logic complexitysupports2015Source 1needs 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

1 source3 linked approval claimsfirst-pass slug synthetic-circuits
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature

Source:

application scopesupports

Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.

using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers

Source:

detection scopesupports

Synthetic biology tools can detect changes in DNA, RNA, protein, and transient signaling events across cell-based systems, live mice, and humans.

One could detect changes in DNA, RNA, protein or even transient signaling events, in cell-based systems, in live mice, and in humans.

Source:

interoperabilitysupports

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

Most of the systems that are presented can be integrated together

Source:

Comparisons

Source-backed strengths

The cited literature attributes versatility to synthetic circuits by describing applications in endogenous circuit investigation, event detection, and temporally or spatially controlled induction. A key stated strength is combinatorial signal integration, in which multiple modalities can be combined so that detection of a particular event automatically triggers a specific output.

Compared with Cry2

synthetic circuits and Cry2 address a similar problem space because they share signaling.

Shared frame: same top-level item type; shared target processes: signaling

Strengths here: looks easier to implement in practice; may avoid an exogenous cofactor requirement.

Relative tradeoffs: appears more independently replicated.

synthetic circuits and Cry2-Cib photodimerizing pair address a similar problem space because they share signaling.

Shared frame: same top-level item type; shared target processes: signaling

Strengths here: looks easier to implement in practice.

Compared with Opto-RhoGEFs

synthetic circuits and Opto-RhoGEFs address a similar problem space because they share signaling.

Shared frame: same top-level item type; shared target processes: signaling

Strengths here: looks easier to implement in practice.

Ranked Citations

  1. 1.
    StructuralSource 1Integrative Biology2015Claim 21Claim 21Claim 21

    Seeded from load plan for claim cl1. Extracted from this source document.