Obiettivo Within a decade, advances in single-cell genomics would allow humanity to embark on a coordinated international effort to discover the human cell lineage tree. The goal of LineageDiscovery is to lay the biological, computational and architectural foundations for this envisioned project and demonstrate its feasibility and value.An organismal cell lineage tree is a rooted, labelled binary tree where nodes represent organism cells, edges represent progeny relations and labels capture cell state. The tree of an adult human has about 100 trillion nodes. Many fundamental open questions in biology and medicine are about the structure, dynamics and variance of the human cell lineage tree in development, health, ageing and disease. E.g. which cancer cells give rise to metastases? Do beta cells renew? Which progeny do brain stem cells produce in development, maintenance and ageing? LineageDiscovery is based on a decade of research on this challenge by Shapiro’s lab and others. It will develop an efficient biological-computational cell lineage discovery workflow that starts with sampled cells and ends with knowledge of their cell lineage tree; and a scalable architecture for the collaborative development and the distributed deployment of this workflow. The workflow will be based on emerging single-cell technologies and will include novel algorithms to analyse single-cell data, to reconstruct cell lineage trees, and to infer ancestral cell type and state dynamics. A programmable meta-system will be developed and used for workflow optimization and evaluation. The workflow and architecture will be deployed and tested in a broad range of proof-of-concept human cell lineage discovery experiments with self-funded collaborators. Successful execution of this research plan coupled with expected advances in single-cell genomics would establish both the feasibility and the value of the envisioned large-scale human cell lineage discovery project, ideally leading to its launch. Campo scientifico natural sciencescomputer and information sciencesdata sciencenatural sciencesbiological sciencesgeneticsDNAnatural sciencesphysical sciencesastronomyplanetary sciencesplanetary geologynatural sciencesbiological sciencesdevelopmental biologynatural sciencesbiological sciencesgeneticsmutation Programma(i) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Argomento(i) ERC-ADG-2014 - ERC Advanced Grant Invito a presentare proposte ERC-2014-ADG Vedi altri progetti per questo bando Meccanismo di finanziamento ERC-ADG - Advanced Grant Istituzione ospitante WEIZMANN INSTITUTE OF SCIENCE Contribution nette de l'UE € 2 250 000,00 Indirizzo HERZL STREET 234 7610001 Rehovot Israele Mostra sulla mappa Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 2 250 000,00 Beneficiari (1) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto WEIZMANN INSTITUTE OF SCIENCE Israele Contribution nette de l'UE € 2 250 000,00 Indirizzo HERZL STREET 234 7610001 Rehovot Mostra sulla mappa Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 2 250 000,00