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RULLIVER

Financiado

Rules of self organization and reengineering of liver tissue

We want to understand the rules of self-organization underlying tissue structure and function. To address this problem, we have chosen the mouse liver with its complex apico-basal polarity of hepatocytes and its unique 3D tissue o... ver más

31/12/2022

MPG

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

MAXPLANCKGESELLSCHAFT ZUR FORDERUNG DER WISSE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-12-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-ADG-2015: ERC Advanced Grant

I+D

Cerrada hace 9 años

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2 Participantes

MPG

2.50M€ | Lider

GUASCOR FOTON, S.L.

648.31K€ | Participante

Últimas noticias

27-11-2024: DGIPYME En las últimas 48 horas el Organismo DGIPYME ha otorgado 1 concesiones

27-11-2024: FUNDACION-EOI En las últimas 48 horas el Organismo FUNDACION EOI ha otorgado 2 concesiones

25-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 52 concesiones

Duración del proyecto: 77 meses Fecha Inicio: 2016-07-12
Fecha Fin: 2022-12-31

Presupuesto del proyecto 2M€

Descripción del proyecto We want to understand the rules of self-organization underlying tissue structure and function. To address this problem, we have chosen the mouse liver with its complex apico-basal polarity of hepatocytes and its unique 3D tissue organization. We aim at identifying the rules of self-organization of liver tissue and their implementation at the molecular level. Our ultimate goal is to demonstrate that it is possible to reengineer liver tissue structure. The first aim will be to develop a digital geometrical model of liver tissue, i.e. an accurate 3D digital representation of the cells, forming the tissue and their sub-cellular components, in the developing, adult and regenerating liver, and unravel the principles for how the cells are organized to generate liver cell architecture. In aims 2 and 3, we will identify the molecular mechanisms underlying such geometrical rules. In particular, the second aim will be to characterize the molecular mechanisms responsible for hepatocyte cell polarity and predictably modify cell organization in vitro. The third aim will consist of introducing genetic perturbations to alter hepatocyte cell organization (cell polarity) and cell-cell interactions to predictably modify the structure and function of liver tissue. The fourth aim will be to develop a physical model of liver tissue self-assembly and organization. The project is ambitious as it aims to understand the rules of tissue organization in 3D in a mammalian organ to such an extent that it is possible to make predictions of tissue response to genetic perturbations and reengineer it to modify its structural and functional properties.

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