Modeling gene-regulatory networks to describe cell fate transitions and predict master regulators.
Fiche publication
Date publication
janvier 2018
Journal
NPJ systems biology and applications
Auteurs
Membres identifiés du Cancéropôle Est :
Dr GRONEMEYER Hinrich
Tous les auteurs :
Cholley PE, Moehlin J, Rohmer A, Zilliox V, Nicaise S, Gronemeyer H, Mendoza-Parra MA
Lien Pubmed
Résumé
Complex organisms originate from and are maintained by the information encoded in the genome. A major challenge of systems biology is to develop algorithms that describe the dynamic regulation of genome functions from large omics datasets. Here, we describe TETRAMER, which reconstructs gene-regulatory networks from temporal transcriptome data during cell fate transitions to predict "master" regulators by simulating cascades of temporal transcription-regulatory events.
Référence
NPJ Syst Biol Appl. 2018 ;4:29