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Custom architecturally defined 3D stem cell derived functional human neural networks for transformative progress in neuroscience and medicine

Objective

The development of methods to isolate and generate human stem cells along with technology to selectively differentiate them into specific cell and tissue types has excited many with the promise of the ability to study human cell function and utilise them for regeneration in disease and trauma. However, to date, attempts to develop regenerative brain and central nervous system therapies have been disappointing, with the introduced stem cell derived neurons not integrating nor signalling physiologically with endogenous cells. A major confounding issue has been that derived neurons are grown in two dimensions, which does not mimic the in vivo three dimensional interactions nor the myriad developmental cues they would receive in vivo.
We will develop functional three dimensional human stem cell derived neural networks of defined and reproducible architecture, based on that of a brain cortical module that will display in vivo connectivity and activity. The networks will be seeded on nano-scale designed femtosecond laser printed scaffolds using novel polymerisation methods that will allow electrical stimulation, simultaneous recording and light sheet imaging during development and at maturation to interrogate network function. Cells will be seeded at and will develop at specific, defined points on the network scaffold, enabling the growth of realistic and reproducible functional neuronal networks. The proposal seeks to provide fabricated reproducible scaffolds that can be produced on a large scale. These concepts are far outside what is currently pursued in the field. The development of such a technological platform will be foundational for a new era of biological and medical research based on human neural networks. Cellular neuroscience research and pharmaceutical drug discovery will be transformed and we envisage that within 15 years iPSC derived networks from individual patients will be re-implanted to treat conditions such as Parkinson’s disease, dementia and trauma

Fields of science (EuroSciVoc)

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-FETOPEN-2014-2015

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Coordinator

ASTON UNIVERSITY
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.

€ 839 016,01
Address
ASTON TRIANGLE
B4 7ET Birmingham
United Kingdom

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Activity type
Higher or Secondary Education Establishments
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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.

€ 839 016,25

Participants (6)

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