Toolkit/synthetic circuits
synthetic circuits
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
DerivedSynthetic 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.
Mechanisms
combinatorial signal integrationcombinatorial signal integrationevent-triggered output controlevent-triggered output controlspatial control of inductionspatial control of inductiontemporal control of inductiontemporal control of inductionTechniques
No technique tags yet.
Target processes
signalingImplementation Constraints
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
Supporting Sources
Ranked Claims
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
Synthetic circuits can be used to investigate endogenous biological circuitry and to build detectors and temporally or spatially controlled inducers.
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature, develop novel detectors and better temporally and spatially controlled inducers
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Approval Evidence
using synthetic circuits, one can undertake exhaustive investigations of the endogenous circuitry found in nature
Source:
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:
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:
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.
Compared with Cry2-Cib photodimerizing pair
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.