Toolkit/real-time GPCR agonist sensor

real-time GPCR agonist sensor

Construct Pattern·Research·Since 2022

Also known as: real-time information on the signalling dynamics of GPCR agonists, real-time sensor

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

Summary

A real-time GPCR agonist sensor is a category of genetically encoded GPCR agonist detection tools defined by its ability to provide real-time information on the signalling dynamics of GPCR agonists. In the cited review, it is distinguished from integrator sensors as one of two main classes of genetically encoded GPCR agonist sensors.

Usefulness & Problems

Why this is useful

This sensor category is useful because it reports GPCR agonist signalling dynamics in real time rather than only cumulative exposure. The review further indicates that, when combined with integrator sensors, these tools may help identify neuronal circuits affected by endogenous GPCR agonists and characterize the spatiotemporal dynamics of agonist release.

Source:

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area

Source:

those that offer real-time information on the signalling dynamics of GPCR agonists

Problem solved

This tool category addresses the need to monitor the temporal dynamics of GPCR agonist signalling with genetically encoded sensors. The supplied evidence does not specify particular receptor classes, agonists, or experimental preparations beyond this general role.

Problem links

Need conditional control of signaling activity

Derived

A real-time GPCR agonist sensor is a genetically encoded GPCR agonist detection tool category defined by its ability to provide real-time information on the signalling dynamics of GPCR agonists. In the cited review, it is distinguished from integrator sensors as one of two main classes of genetically encoded GPCR agonist sensors.

Taxonomy & Function

Primary hierarchy

Mechanism Branch

Architecture: A reusable architecture pattern for arranging parts into an engineered system.

Mechanisms

No mechanism tags yet.

Techniques

No technique tags yet.

Target processes

signaling

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor

The evidence establishes that these are genetically encoded GPCR agonist sensors, but it does not describe construct design, expression strategy, cofactors, or delivery methods. Practical implementation details therefore remain unspecified in the supplied source excerpts.

The supplied evidence is conceptual and categorical rather than tool-specific. No details are provided on molecular architecture, sensitivity, kinetics, spectral properties, organismal validation, or benchmarking against alternative sensor formats.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 2categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 3categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 4categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 5categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 6categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 7categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 8categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 9categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 10categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 11categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 12categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 13categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 14categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 15categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 16categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 17categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 18categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 19categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 20categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 21categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 22categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 23categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 24categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 25categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 26categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 27categorizationsupports2022Source 1needs review

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark
Claim 28combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 29combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 30combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 31combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 32combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 33combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 34combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 35combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 36combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 37combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 38combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 39combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 40combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 41combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 42combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 43combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 44combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 45combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 46combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 47combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 48combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 49combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 50combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 51combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 52combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 53combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 54combined use potentialsupports2022Source 1needs review

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits
Claim 55functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 56functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 57functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 58functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 59functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 60functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 61functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 62functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 63functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 64functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 65functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 66functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 67functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 68functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 69functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 70functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 71functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 72functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 73functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 74functional capabilitysupports2022Source 1needs review

Integrator sensors convert GPCR agonist signals into a permanent, quantifiable mark that can be used to detect GPCR agonist localization in a large brain area.

those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area
Claim 75functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 76functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 77functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 78functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 79functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 80functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 81functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 82functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 83functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 84functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 85functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 86functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 87functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 88functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 89functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 90functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 91functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 92functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 93functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 94functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 95functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 96functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 97functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 98functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 99functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 100functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 101functional capabilitysupports2022Source 1needs review

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists
Claim 102review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 103review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 104review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 105review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 106review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 107review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 108review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 109review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 110review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 111review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 112review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 113review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 114review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 115review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 116review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 117review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 118review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 119review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 120review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 121review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 122review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 123review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 124review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 125review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 126review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 127review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo
Claim 128review scope summarysupports2022Source 1needs review

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo

Approval Evidence

1 source4 linked approval claimsfirst-pass slug real-time-gpcr-agonist-sensor
These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists

Source:

categorizationsupports

The review groups genetically encoded GPCR agonist sensors into two main categories: real-time sensors and integrator sensors.

These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark

Source:

combined use potentialsupports

Using real-time and integrator sensors together may help identify neuronal circuits affected by endogenous GPCR agonists and enable detailed characterization of the spatiotemporal dynamics of GPCR agonist release in those circuits.

the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits

Source:

functional capabilitysupports

Real-time sensors provide information on the signaling dynamics of GPCR agonists.

those that offer real-time information on the signalling dynamics of GPCR agonists

Source:

review scope summarysupports

Genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo.

genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo

Source:

Comparisons

Source-backed strengths

Its defining strength is the ability to provide real-time information on GPCR agonist signalling dynamics. The review also highlights potential complementary value with integrator sensors for circuit-level and spatiotemporal analysis of endogenous GPCR agonist release.

real-time GPCR agonist sensor and closed-loop molecular and cellular circuits address a similar problem space because they share signaling.

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

real-time GPCR agonist sensor and engineered GEF-Pak1 interaction address a similar problem space because they share signaling.

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

real-time GPCR agonist sensor and genetically encoded fluorescent biosensors address a similar problem space because they share signaling.

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

Strengths here: looks easier to implement in practice.

Ranked Citations

  1. 1.
    StructuralSource 1Clinical and Translational Medicine2022Claim 27Claim 25Claim 25

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