Protein function regulation through inserts for response to biological, chemical and physical signals
This project aims to develop a modular platform for engineering proteins to sense and respond to diverse signals, enhancing their functionality for innovative biomedical applications.
Projectdetails
Introduction
We live in an era of profound excitement for synthetic biology, which is providing insights into the underlying mechanisms of living systems and powerful tools to modify biological and biomimetic systems using innovative design principles. Regulation of protein function based on the recognition of other molecules or environmental conditions is fundamental to all living systems.
Project Vision
My vision and the strategic objectives of the project are to develop a modular platform that imparts proteins with the ability to sense diverse signals, thus enabling the regulation of their function and the introduction of novel properties into biological systems.
Project Objectives
This project aims to explore unique opportunities for regulating protein function through insertions, leveraging modular building blocks with well-known and tunable properties. By combining these building blocks in innovative ways, proteins and biological systems will be engineered to respond to biological, chemical, and physical signals.
The specific objectives of the project encompass:
- Design protein responsiveness to pH and RNA molecules, generating RNA sensors and regulating protein function based on cell type- or state-specific RNA molecules.
- Enable proteins to sense the concentration of other proteins, creating concentration-dependent regulatory circuits with a demonstration of biomedical application.
- Construct de novo mechano-responsive proteins, to prepare genetically encoded mechanosensors tolerant to high forces and mechanoresponsive designs of CAR for cancer immunotherapy.
- Design new protein regulators with favorable in vivo properties and regulators of natural proteins.
Expected Outcomes
Through several compelling examples in mammalian cells, this project aims to demonstrate the transformative potential of endowing proteins with unique and previously unknown properties, advancing the engineering of biological systems and paving the way for potential therapeutic applications in the field of biomedicine.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.500.000 |
Totale projectbegroting | € 2.500.000 |
Tijdlijn
Startdatum | 1-11-2024 |
Einddatum | 31-10-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- KEMIJSKI INSTITUTpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Biosensing by Sequence-based Activity InferenceThis project aims to develop a data-driven pipeline for engineering genetically encoded biosensors to enhance molecule detection and support sustainable bioprocesses in synthetic biology. | ERC Starting... | € 1.499.453 | 2024 | Details |
Engineered control of cellular circuitsDeveloping light-controlled proteins to study spatiotemporal dynamics of signaling in active neuron subpopulations during learning, aiming to inform therapies for brain disorders. | ERC Starting... | € 1.494.669 | 2023 | Details |
Designing Allosteric Protein Switches by In Vivo Directed Evolution and Computational InferenceDaVinci-Switches aims to revolutionize switchable protein engineering by combining synthetic biology and machine learning to create light- and drug-inducible proteins for regenerative medicine applications. | ERC Starting... | € 1.619.687 | 2022 | Details |
Artificial RNA regulators to probe, control, and design gene regulatory networks in bacteriaThe project aims to utilize artificial small RNAs to explore gene regulation mechanisms and develop synthetic biology tools, focusing on antibiotic resistance and gene network design. | ERC Consolid... | € 1.999.913 | 2023 | Details |
DNA-encoded REconfigurable and Active MatterThe project aims to develop DNA-encoded dynamic principles to create adaptive synthetic materials with life-like characteristics and multifunctional capabilities through innovative self-assembly and genetic programming. | ERC Advanced... | € 2.496.750 | 2023 | Details |
Biosensing by Sequence-based Activity Inference
This project aims to develop a data-driven pipeline for engineering genetically encoded biosensors to enhance molecule detection and support sustainable bioprocesses in synthetic biology.
Engineered control of cellular circuits
Developing light-controlled proteins to study spatiotemporal dynamics of signaling in active neuron subpopulations during learning, aiming to inform therapies for brain disorders.
Designing Allosteric Protein Switches by In Vivo Directed Evolution and Computational Inference
DaVinci-Switches aims to revolutionize switchable protein engineering by combining synthetic biology and machine learning to create light- and drug-inducible proteins for regenerative medicine applications.
Artificial RNA regulators to probe, control, and design gene regulatory networks in bacteria
The project aims to utilize artificial small RNAs to explore gene regulation mechanisms and develop synthetic biology tools, focusing on antibiotic resistance and gene network design.
DNA-encoded REconfigurable and Active Matter
The project aims to develop DNA-encoded dynamic principles to create adaptive synthetic materials with life-like characteristics and multifunctional capabilities through innovative self-assembly and genetic programming.
Vergelijkbare projecten uit andere regelingen
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Computation driven development of novel vivo-like-DNA-nanotransducers for biomolecules structure identificationThis project aims to develop DNA-nanotransducers for real-time detection and analysis of conformational changes in biomolecules, enhancing understanding of molecular dynamics and aiding drug discovery. | EIC Pathfinder | € 3.000.418 | 2022 | Details |
Universal GPCR Activity Sensor for Next Generation Drug DiscoveryThis project aims to develop a novel single-assay technology platform for GPCR drug discovery, enhancing detection and classification of drug candidates to improve efficacy and reduce failures. | EIC Pathfinder | € 2.965.384 | 2023 | Details |
Computation driven development of novel vivo-like-DNA-nanotransducers for biomolecules structure identification
This project aims to develop DNA-nanotransducers for real-time detection and analysis of conformational changes in biomolecules, enhancing understanding of molecular dynamics and aiding drug discovery.
Universal GPCR Activity Sensor for Next Generation Drug Discovery
This project aims to develop a novel single-assay technology platform for GPCR drug discovery, enhancing detection and classification of drug candidates to improve efficacy and reduce failures.