Source 1primary paper2013Nucleic Acids Research
Toolkit/quantitative model
quantitative model
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
This quantitative model is a computational analysis component used in a 2013 study of multi-chromatic optogenetic control of mammalian gene expression and signaling. It was applied to determine critical system parameters for the reported light-responsive expression platform.
Usefulness & Problems
Why this is useful
The model is useful for system characterization because it supports identification of critical parameters in an engineered multi-wavelength gene control system. In the cited study, this analytical role accompanied a platform that enabled differential induction of up to three genes in mammalian cells with different light wavelengths.
Source:
The quantitative model was used to determine critical parameters of the reported system. The abstract presents it as an analytical component supporting system characterization.
Source:
determining critical system parameters
Problem solved
It helps solve the parameter-identification problem for a complex light-responsive mammalian gene expression system. The available evidence indicates that it was used to determine critical system parameters, but does not specify the exact model structure or parameter classes.
Source:
It helps identify critical system parameters for the engineered light-responsive expression system.
Source:
supports parameterization of the optogenetic expression system
Problem links
Our Immune System Can Uniquely Recognize Nearly Any Molecule but We Don’t Know the Recognition Code
Gap mapView gapA quantitative modeling method could help infer parameters from experimental data and support predictive rule-building once recognition measurements exist. It is only a weak link because the summary does not specify immune recognition, binding models, or sequence-to-specificity prediction.
supports parameterization of the optogenetic expression system
LiteratureIt helps identify critical system parameters for the engineered light-responsive expression system.
Source:
It helps identify critical system parameters for the engineered light-responsive expression system.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete computational method used to design, rank, or analyze an engineered system.
Mechanisms
No mechanism tags yet.
Target processes
No target processes tagged yet.
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: builderrole: system parameter determinationswitch architecture: split
Practical implementation details are not provided in the available evidence. The source does not specify required datasets, computational framework, parameter-estimation workflow, or how the model interfaces with the UVB-, blue-, and red-light-responsive gene control components.
The evidence is sparse and only states that a quantitative model was used to determine critical system parameters. There is no information on equations, inputs, software implementation, training or fitting procedures, or whether the model was validated independently of the reported study.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
Combining the UVB-responsive system with blue and red light-inducible gene control technology enabled multi-chromatic multi-gene control and was applied to angiogenic signaling processes.
By combining this UVB-responsive system with blue and red light-inducible gene control technology, we demonstrate multi-chromatic multi-gene control by differentially expressing three genes in a single cell culture in mammalian cells, and we apply this system for the multi-chromatic control of angiogenic signaling processes.
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The study demonstrates multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to different wavelengths of light.
we demonstrate for the first time multi-chromatic expression control in mammalian cells by differentially inducing up to three genes in a single cell culture in response to light of different wavelengths
genes differentially induced 3
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
The authors developed a UVB-inducible expression system by designing a UVB-responsive split transcription factor based on UVR8 and the WD40 domain of COP1.
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks with unmatched spatiotemporal precision for future research and biomedical applications.
This portfolio of optogenetic tools enables the design and implementation of synthetic biological networks showing unmatched spatiotemporal precision for future research and biomedical applications.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
The UVB-inducible expression system enabled up to 800-fold UVB-induced gene expression in human, monkey, hamster, and mouse cells.
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
UVB-induced gene expression fold induction 800 fold
Approval Evidence
1 source1 linked approval claimfirst-pass slug quantitative-model
Based on a quantitative model, we determined critical system parameters.
Source:
modeling resultsupports
A quantitative model was used to determine critical system parameters.
Based on a quantitative model, we determined critical system parameters.
Source:
Comparisons
Source-backed strengths
A clear strength is that the model was directly used in the context of an experimentally demonstrated multi-chromatic mammalian expression system. The evidence supports its utility for extracting critical system parameters, but does not report predictive accuracy, generalizability, or benchmarking.
Source:
we developed an ultraviolet B (UVB)-inducible expression system by designing a UVB-responsive split transcription factor based on the Arabidopsis thaliana UVB receptor UVR8 and the WD40 domain of COP1
Source:
The system allowed high (up to 800-fold) UVB-induced gene expression in human, monkey, hamster and mouse cells.
Compared with free-energy calculations
quantitative model and free-energy calculations address a similar problem space.
Shared frame: same top-level item type
Compared with mathematical model
quantitative model and mathematical model address a similar problem space.
Shared frame: same top-level item type
Strengths here: looks easier to implement in practice.
Compared with SwiftLib
quantitative model and SwiftLib address a similar problem space.
Shared frame: same top-level item type
Ranked Citations
- 1.