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Decoding and perturbing cell identity regulatory network for cell fate and state engineering

Project description

How gene regulatory networks enable precise cell engineering

Engineered human cells grown in the laboratory have greatly improved our ability to model human biology and disease. However, single-cell transcriptomic reveals that these cells often differ from natural cells found in the human body. Achieving precise cell engineering remains difficult without understanding the gene regulatory networks (GRNs) that define cell identity. The ERC-funded DECIPHER project aims to address this challenge by decoding GRNs using advanced single-cell technologies. The project will convert human induced pluripotent stem cells into specific neuronal and glial subtypes and study how these cells interact within a multicellular environment. By revealing how GRNs control cell identity and drive maturation, DECIPHER seeks to enable more precise engineering of human cells for disease modelling, cell therapy and regenerative medicine.

Objective

Human cells engineered in vitro have revolutionized our ability to model human biology and diseases, offering exciting opportunities for therapeutic screening and intervention. However, single-cell transcriptomics (scRNA-seq) reveals that engineered cells often remain heterogeneous, immature, and dissimilar to primary counterparts. Precise cell engineering remains challenging without systematic interrogation of gene regulatory networks (GRNs) that establish cell identity. Here, we propose to engineer precise cell fates and states by coupling GRN decoding, perturbation screening, and single-cell technologies. Our vision is to decode GRNs that shape cell identities in fate specification, multicellular communication, and maturation, and use this insight to 1) engineer precise cell subtypes, 2) reconstruct niche-specific signatures, and 3) accelerate maturation. Using human induced pluripotent stem cell (iPSC)-derived neural cells, we will first couple combinatorial transcription factor screening with scRNA-seq to directly induce iPSCs into specific neuron subtypes guided by primary neuron GRNs. Second, we will program glial cell subtypes and reconstruct multi-cellular niche with neurons, analyze how niche cross-talk impacts cell fates and states, and use emerged GRNs to engineer niche-specific signatures. Finally, we will decode dynamic GRNs during neural maturation and screen for determinants to accelerate maturation. DECIPHER aims to dissect the causal links between GRNs and cell identities, offering mechanistic insights into drivers of cell identity changes with the ambitious goals to engineer precise and mature cell subtypes for disease modeling, cell therapy, and regenerative medicine. Our approach holds great potential to study diverse cell fate and state transition events, such as development, reprogramming, regeneration, and cancer. The perturbation atlas generated here will empower AI-driven predictive modelling to guide future cell engineering.

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Topic(s)

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2025-STG

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Host institution

FUNDACIO CENTRE DE REGULACIO GENOMICA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 799 999,00
Address
CARRER DOCTOR AIGUADER 88
08003 Barcelona
Spain

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 799 999,00

Beneficiaries (1)

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