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Gene network rewiring by an engineered CRIPSR-Cas12a variant

Sector: Government • Location: Italy

Source: EU Funding & Tenders Portal

Project
Ended

In the last 10 years, an increasing number of studies employed -omics technologies to describe the molecular changes underpinning cellular functions. However, a large part of these findings is awaiting an experimental validation. This is due to the lack of efficient molecular tools able to control both multiple and distinct genetic interactions. Recently, I described a new CRISPR/12-based genome

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The project “Gene network rewiring by an engineered CRIPSR-Cas12a variant” is an infrastructure initiative in the Government sector, located in Italy. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Description

Description

In the last 10 years, an increasing number of studies employed -omics technologies to describe the molecular changes underpinning cellular functions. However, a large part of these findings is awaiting an experimental validation. This is due to the lack of efficient molecular tools able to control both multiple and distinct genetic interactions. Recently, I described a new CRISPR/12-based genome engineering tool that, for the first time, it provides the constitutive, conditional, inducible, orthogonal and multiplexed engineering of dozens of endogenous genes, simultaneously. In this research proposal, I aim to increase the efficiency of this platform in the context of multiplexed genome engineering applications, such as gene network rewiring. To this aim, I will use techniques inspired by the statistical physics of complex disordered systems, to design a more potent version of my CRISPR/Cas12-based genome engineering tool and, I will use this novel platform to rewire signaling pathways involved in cellular proliferation. This research proposal is structured into the following tasks: rational design of novel Cas12a variants, validation of novel Cas12a variants, gene network rewiring by a novel Cas12a variant. By coupling statistical physics to both protein and genome engineering this project will pave the way for efficient and large-scale engineering of gene networks.

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