Source 1primary paper2021
Toolkit/falling-edge pulse-detector
falling-edge pulse-detector
Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
The falling-edge pulse-detector is a synthetic light-input transcriptional circuit built from light-responsive transcriptional regulators with differing response kinetics. It is designed to decode temporal features of illumination and specifically detect the falling edge of a light pulse.
Usefulness & Problems
Why this is useful
This construct is useful for dynamic signal decoding in transcriptional control, enabling gene networks to respond to temporal structure rather than only light presence or absence. The source literature places it within synthetic systems for decoding complex signals and for biotechnological applications.
Source:
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
Source:
show that this circuit can be employed to demultiplex dynamically encoded signals
Problem solved
It addresses the problem of converting a time-varying light input into a transcriptional response selective for the falling edge of a pulse. More broadly, it helps implement dynamic information processing in synthetic gene networks.
Source:
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
Problem links
Need precise spatiotemporal control with light input
DerivedThe falling-edge pulse-detector is a synthetic light-input transcriptional circuit built from light-responsive transcriptional regulators with differing response kinetics. It is designed to decode temporal features of illumination and specifically detect the falling edge of a light pulse.
Need tighter control over gene expression timing or amplitude
DerivedThe falling-edge pulse-detector is a synthetic light-input transcriptional circuit built from light-responsive transcriptional regulators with differing response kinetics. It is designed to decode temporal features of illumination and specifically detect the falling edge of a light pulse.
Taxonomy & Function
Primary hierarchy
Mechanism Branch
Architecture: A reusable architecture pattern for arranging parts into an engineered system.
Mechanisms
dynamic signal decodingkinetic differentiation of regulator responseslight-responsive transcriptional regulationTechniques
No technique tags yet.
Target processes
transcriptionInput: Light
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationimplementation constraint: spectral hardware requirementoperating role: sensor
Implementation relies on combining light-responsive transcriptional regulators that differ in response kinetics to create a transcriptional pulse-edge detector. The same study reports integration with dCas9-based gene networks for related pulsatile-signal filters and decoders, but construct architecture and practical expression details are not provided in the supplied evidence.
The provided evidence does not specify the exact regulator identities, host organism, wavelength, output dynamic range, or quantitative performance of the falling-edge detector itself. Independent replication is not indicated in the supplied material, and validation details for this specific construct are limited.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
Dynamic multiplexing was used for precise multidimensional regulation of a heterologous metabolic pathway.
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
Dynamic multiplexing was used for precise multidimensional regulation of a heterologous metabolic pathway.
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
Dynamic multiplexing was used for precise multidimensional regulation of a heterologous metabolic pathway.
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
Dynamic multiplexing was used for precise multidimensional regulation of a heterologous metabolic pathway.
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
Dynamic multiplexing was used for precise multidimensional regulation of a heterologous metabolic pathway.
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
Dynamic multiplexing was used for precise multidimensional regulation of a heterologous metabolic pathway.
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
Dynamic multiplexing was used for precise multidimensional regulation of a heterologous metabolic pathway.
Finally, we use dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway.
The reported systems elucidate design principles of dynamic information processing and provide synthetic systems capable of decoding complex signals for biotechnological applications.
Our results elucidate design principles of dynamic information processing and provide original synthetic systems capable of decoding complex signals for biotechnological applications.
The reported systems elucidate design principles of dynamic information processing and provide synthetic systems capable of decoding complex signals for biotechnological applications.
Our results elucidate design principles of dynamic information processing and provide original synthetic systems capable of decoding complex signals for biotechnological applications.
The reported systems elucidate design principles of dynamic information processing and provide synthetic systems capable of decoding complex signals for biotechnological applications.
Our results elucidate design principles of dynamic information processing and provide original synthetic systems capable of decoding complex signals for biotechnological applications.
The reported systems elucidate design principles of dynamic information processing and provide synthetic systems capable of decoding complex signals for biotechnological applications.
Our results elucidate design principles of dynamic information processing and provide original synthetic systems capable of decoding complex signals for biotechnological applications.
The reported systems elucidate design principles of dynamic information processing and provide synthetic systems capable of decoding complex signals for biotechnological applications.
Our results elucidate design principles of dynamic information processing and provide original synthetic systems capable of decoding complex signals for biotechnological applications.
The reported systems elucidate design principles of dynamic information processing and provide synthetic systems capable of decoding complex signals for biotechnological applications.
Our results elucidate design principles of dynamic information processing and provide original synthetic systems capable of decoding complex signals for biotechnological applications.
The reported systems elucidate design principles of dynamic information processing and provide synthetic systems capable of decoding complex signals for biotechnological applications.
Our results elucidate design principles of dynamic information processing and provide original synthetic systems capable of decoding complex signals for biotechnological applications.
Combining the demultiplexer with dCas9-based gene networks enabled construction of pulsatile-signal filters and decoders.
We combine this demultiplexer with dCas9-based gene networks to construct pulsatile-signal filters and decoders.
Combining the demultiplexer with dCas9-based gene networks enabled construction of pulsatile-signal filters and decoders.
We combine this demultiplexer with dCas9-based gene networks to construct pulsatile-signal filters and decoders.
Combining the demultiplexer with dCas9-based gene networks enabled construction of pulsatile-signal filters and decoders.
We combine this demultiplexer with dCas9-based gene networks to construct pulsatile-signal filters and decoders.
Combining the demultiplexer with dCas9-based gene networks enabled construction of pulsatile-signal filters and decoders.
We combine this demultiplexer with dCas9-based gene networks to construct pulsatile-signal filters and decoders.
Combining the demultiplexer with dCas9-based gene networks enabled construction of pulsatile-signal filters and decoders.
We combine this demultiplexer with dCas9-based gene networks to construct pulsatile-signal filters and decoders.
Combining the demultiplexer with dCas9-based gene networks enabled construction of pulsatile-signal filters and decoders.
We combine this demultiplexer with dCas9-based gene networks to construct pulsatile-signal filters and decoders.
Combining the demultiplexer with dCas9-based gene networks enabled construction of pulsatile-signal filters and decoders.
We combine this demultiplexer with dCas9-based gene networks to construct pulsatile-signal filters and decoders.
Light-responsive transcriptional regulators with differing response kinetics were used to build a falling-edge pulse-detector.
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
Light-responsive transcriptional regulators with differing response kinetics were used to build a falling-edge pulse-detector.
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
Light-responsive transcriptional regulators with differing response kinetics were used to build a falling-edge pulse-detector.
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
Light-responsive transcriptional regulators with differing response kinetics were used to build a falling-edge pulse-detector.
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
Light-responsive transcriptional regulators with differing response kinetics were used to build a falling-edge pulse-detector.
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
Light-responsive transcriptional regulators with differing response kinetics were used to build a falling-edge pulse-detector.
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
Light-responsive transcriptional regulators with differing response kinetics were used to build a falling-edge pulse-detector.
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
The falling-edge pulse-detector can be employed to demultiplex dynamically encoded signals.
show that this circuit can be employed to demultiplex dynamically encoded signals
The falling-edge pulse-detector can be employed to demultiplex dynamically encoded signals.
show that this circuit can be employed to demultiplex dynamically encoded signals
The falling-edge pulse-detector can be employed to demultiplex dynamically encoded signals.
show that this circuit can be employed to demultiplex dynamically encoded signals
The falling-edge pulse-detector can be employed to demultiplex dynamically encoded signals.
show that this circuit can be employed to demultiplex dynamically encoded signals
The falling-edge pulse-detector can be employed to demultiplex dynamically encoded signals.
show that this circuit can be employed to demultiplex dynamically encoded signals
The falling-edge pulse-detector can be employed to demultiplex dynamically encoded signals.
show that this circuit can be employed to demultiplex dynamically encoded signals
The falling-edge pulse-detector can be employed to demultiplex dynamically encoded signals.
show that this circuit can be employed to demultiplex dynamically encoded signals
Dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Applying information theory, we show that dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Applying information theory, we show that dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Applying information theory, we show that dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Applying information theory, we show that dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Applying information theory, we show that dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Applying information theory, we show that dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Applying information theory, we show that dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Approval Evidence
1 source2 linked approval claimsfirst-pass slug falling-edge-pulse-detector
we build a falling-edge pulse-detector
Source:
engineering resultsupports
Light-responsive transcriptional regulators with differing response kinetics were used to build a falling-edge pulse-detector.
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
Source:
functional capabilitysupports
The falling-edge pulse-detector can be employed to demultiplex dynamically encoded signals.
show that this circuit can be employed to demultiplex dynamically encoded signals
Source:
Comparisons
Source-backed strengths
The reported design uses regulators with differing response kinetics, providing a principled route to temporal feature detection from a single light modality. The associated study also demonstrated dynamic multiplexing for precise multidimensional regulation of a heterologous metabolic pathway, supporting the broader utility of this signal-decoding framework.
Source:
We combine this demultiplexer with dCas9-based gene networks to construct pulsatile-signal filters and decoders.
Source:
Exploiting light-responsive transcriptional regulators with differing response kinetics, we build a falling-edge pulse-detector
Source:
Applying information theory, we show that dynamic multiplexing significantly increases the information transmission capacity from signal to gene expression state.
Compared with 4pLRE-cPAOX1
falling-edge pulse-detector and 4pLRE-cPAOX1 address a similar problem space because they share transcription.
Shared frame: same top-level item type; shared target processes: transcription; same primary input modality: light
Compared with blue-light-activated DNA template ON switch
falling-edge pulse-detector and blue-light-activated DNA template ON switch address a similar problem space because they share transcription.
Shared frame: same top-level item type; shared target processes: transcription; same primary input modality: light
Compared with VP16-EL222 light-responsive transcription factor
falling-edge pulse-detector and VP16-EL222 light-responsive transcription factor address a similar problem space because they share transcription.
Shared frame: same top-level item type; shared target processes: transcription; same primary input modality: light
Ranked Citations
- 1.