Statut | Confirmé |
Série | BIOPHY-ENS-ESPCI |
Domaines | physics.bio-ph |
Date | Vendredi 28 Fevrier 2020 |
Heure | 13:00 |
Institut | DPT-PHYS-ENS |
Salle | Conf IV |
Nom de l'orateur | Covert |
Prenom de l'orateur | Markus |
Addresse email de l'orateur | |
Institution de l'orateur | Stanford University |
Titre | Simultaneous cross-evaluation of heterogeneous E. coli datasets via mechanistic simulation |
Résumé | The extensive heterogeneity of biological data poses challenges to analysis and interpretation. Construction of a large-scale mechanistic model of Escherichia coli enabled us to integrate and cross-evaluate a massive, heterogeneous dataset based on measurements reported by various labs over decades. We identified inconsistencies with functional consequences across the data, including: that the data describing total output of the ribosomes and RNA polymerases is not sufficient for a cell to reproduce measured doubling times; that measured metabolic parameters are neither fully compatible with each other nor with overall growth; that essential proteins are absent during the cell cycle - and the cell is robust to this absence. Finally, considering these data as a whole leads to successful predictions of new experimental outcomes, in this case protein half-lives. |
Numéro de preprint arXiv | |
Commentaires | |
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