Toolkit/CLASP
CLASP
Also known as: Controllable Light Activated Shuttling and Plasma membrane sequestration
Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration) is a light-controlled multi-component optogenetic switch for reversible regulation of transcription factor localization. It combines two optimized LOV2-based constructs to sequester cargo at the plasma membrane in the dark, release it under blue light, and promote nuclear import by light-dependent unmasking of a nuclear localization sequence.
Usefulness & Problems
Why this is useful
CLASP is useful for precise, modular, and reversible control of transcription factor subcellular localization with light. This enables experimental control of transcription-related signaling inputs through defined nuclear translocation dynamics rather than constitutive localization.
Source:
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
Problem solved
CLASP addresses the problem of controlling when and where a transcription factor is localized inside cells with high temporal precision. Specifically, it solves the need to couple dark-state plasma membrane sequestration with light-triggered release and nuclear import in a reversible optogenetic format.
Taxonomy & Function
Primary hierarchy
Mechanism Branch
Architecture: A composed arrangement of multiple parts that instantiates one or more mechanisms.
Mechanisms
light-dependent plasma membrane sequestration and releaselight-induced unmasking of a nuclear localization sequencereversible nucleocytoplasmic shuttlingTechniques
No technique tags yet.
Target processes
localizationtranscriptionInput: Light
Implementation Constraints
CLASP is implemented as a combination of two optimized LOV2-based optogenetic constructs. One construct mediates dark-state plasma membrane sequestration and blue-light release, while the second mediates light-dependent exposure of a nuclear localization sequence to drive nuclear import of released cargo.
The supplied evidence is limited to a single 2019 source and does not provide quantitative performance metrics, kinetics, dynamic range, or cross-system validation. Evidence for broader applicability beyond transcription factor localization control is not provided here.
Validation
Supporting Sources
Ranked Claims
In CLASP, one light-responsive construct sequesters cargo at the plasma membrane in the dark and releases it upon blue light exposure, while a second light-responsive construct reveals a nuclear localization sequence that shuttles released cargo to the nucleus.
The first sequesters the cargo in the dark at the plasma membrane and releases it upon exposure to blue light, while light exposure of the second reveals a nuclear localization sequence that shuttles the released cargo to the nucleus.
In CLASP, one light-responsive construct sequesters cargo at the plasma membrane in the dark and releases it upon blue light exposure, while a second light-responsive construct reveals a nuclear localization sequence that shuttles released cargo to the nucleus.
The first sequesters the cargo in the dark at the plasma membrane and releases it upon exposure to blue light, while light exposure of the second reveals a nuclear localization sequence that shuttles the released cargo to the nucleus.
In CLASP, one light-responsive construct sequesters cargo at the plasma membrane in the dark and releases it upon blue light exposure, while a second light-responsive construct reveals a nuclear localization sequence that shuttles released cargo to the nucleus.
The first sequesters the cargo in the dark at the plasma membrane and releases it upon exposure to blue light, while light exposure of the second reveals a nuclear localization sequence that shuttles the released cargo to the nucleus.
In CLASP, one light-responsive construct sequesters cargo at the plasma membrane in the dark and releases it upon blue light exposure, while a second light-responsive construct reveals a nuclear localization sequence that shuttles released cargo to the nucleus.
The first sequesters the cargo in the dark at the plasma membrane and releases it upon exposure to blue light, while light exposure of the second reveals a nuclear localization sequence that shuttles the released cargo to the nucleus.
In CLASP, one light-responsive construct sequesters cargo at the plasma membrane in the dark and releases it upon blue light exposure, while a second light-responsive construct reveals a nuclear localization sequence that shuttles released cargo to the nucleus.
The first sequesters the cargo in the dark at the plasma membrane and releases it upon exposure to blue light, while light exposure of the second reveals a nuclear localization sequence that shuttles the released cargo to the nucleus.
In CLASP, one light-responsive construct sequesters cargo at the plasma membrane in the dark and releases it upon blue light exposure, while a second light-responsive construct reveals a nuclear localization sequence that shuttles released cargo to the nucleus.
The first sequesters the cargo in the dark at the plasma membrane and releases it upon exposure to blue light, while light exposure of the second reveals a nuclear localization sequence that shuttles the released cargo to the nucleus.
In CLASP, one light-responsive construct sequesters cargo at the plasma membrane in the dark and releases it upon blue light exposure, while a second light-responsive construct reveals a nuclear localization sequence that shuttles released cargo to the nucleus.
The first sequesters the cargo in the dark at the plasma membrane and releases it upon exposure to blue light, while light exposure of the second reveals a nuclear localization sequence that shuttles the released cargo to the nucleus.
Computational modeling indicates that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation.
We show using computational modeling that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation
Computational modeling indicates that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation.
We show using computational modeling that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation
Computational modeling indicates that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation.
We show using computational modeling that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation
Computational modeling indicates that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation.
We show using computational modeling that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation
Computational modeling indicates that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation.
We show using computational modeling that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation
Computational modeling indicates that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation.
We show using computational modeling that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation
Computational modeling indicates that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation.
We show using computational modeling that efficient gene expression in response to short pulsing requires fast promoter activation and slow inactivation
Computational modeling indicates that the opposite promoter-response phenotype can arise from multi-stage promoter activation in which a transition in the first stage is thresholded.
and that the opposite phenotype can ensue from a multi-stage promoter activation, where a transition in the first stage is thresholded
Computational modeling indicates that the opposite promoter-response phenotype can arise from multi-stage promoter activation in which a transition in the first stage is thresholded.
and that the opposite phenotype can ensue from a multi-stage promoter activation, where a transition in the first stage is thresholded
Computational modeling indicates that the opposite promoter-response phenotype can arise from multi-stage promoter activation in which a transition in the first stage is thresholded.
and that the opposite phenotype can ensue from a multi-stage promoter activation, where a transition in the first stage is thresholded
Computational modeling indicates that the opposite promoter-response phenotype can arise from multi-stage promoter activation in which a transition in the first stage is thresholded.
and that the opposite phenotype can ensue from a multi-stage promoter activation, where a transition in the first stage is thresholded
Computational modeling indicates that the opposite promoter-response phenotype can arise from multi-stage promoter activation in which a transition in the first stage is thresholded.
and that the opposite phenotype can ensue from a multi-stage promoter activation, where a transition in the first stage is thresholded
Computational modeling indicates that the opposite promoter-response phenotype can arise from multi-stage promoter activation in which a transition in the first stage is thresholded.
and that the opposite phenotype can ensue from a multi-stage promoter activation, where a transition in the first stage is thresholded
Computational modeling indicates that the opposite promoter-response phenotype can arise from multi-stage promoter activation in which a transition in the first stage is thresholded.
and that the opposite phenotype can ensue from a multi-stage promoter activation, where a transition in the first stage is thresholded
CLASP achieves minute-level resolution, reversible translocation of many transcription factor cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many transcription factor cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many transcription factor cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many transcription factor cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many transcription factor cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many transcription factor cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many transcription factor cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
CLASP enables precise, modular, and reversible control of transcription factor localization using two optimized LOV2 optogenetic constructs.
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
CLASP enables precise, modular, and reversible control of transcription factor localization using two optimized LOV2 optogenetic constructs.
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
CLASP enables precise, modular, and reversible control of transcription factor localization using two optimized LOV2 optogenetic constructs.
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
CLASP enables precise, modular, and reversible control of transcription factor localization using two optimized LOV2 optogenetic constructs.
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
CLASP enables precise, modular, and reversible control of transcription factor localization using two optimized LOV2 optogenetic constructs.
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
CLASP enables precise, modular, and reversible control of transcription factor localization using two optimized LOV2 optogenetic constructs.
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
CLASP enables precise, modular, and reversible control of transcription factor localization using two optimized LOV2 optogenetic constructs.
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
Approval Evidence
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
Source:
In CLASP, one light-responsive construct sequesters cargo at the plasma membrane in the dark and releases it upon blue light exposure, while a second light-responsive construct reveals a nuclear localization sequence that shuttles released cargo to the nucleus.
The first sequesters the cargo in the dark at the plasma membrane and releases it upon exposure to blue light, while light exposure of the second reveals a nuclear localization sequence that shuttles the released cargo to the nucleus.
Source:
CLASP achieves minute-level resolution, reversible translocation of many transcription factor cargos, large dynamic range, and tunable target gene expression.
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
Source:
CLASP enables precise, modular, and reversible control of transcription factor localization using two optimized LOV2 optogenetic constructs.
we present CLASP (Controllable Light Activated Shuttling and Plasma membrane sequestration), a tool that enables precise, modular, and reversible control of TF localization using a combination of two optimized LOV2 optogenetic constructs
Source:
Comparisons
Source-backed strengths
The reported strengths are precise, modular, and reversible control of transcription factor localization using light. Its design uses two optimized LOV2 optogenetic constructs to implement sequential control over membrane release and nuclear targeting.
Source:
CLASP achieves minute-level resolution, reversible translocation of many TF cargos, large dynamic range, and tunable target gene expression.
Ranked Citations
- 1.