Modeling gene-regulatory networks to describe cell fate transitions and predict master regulators

Pierre-Etienne Cholley (1) , Julien Moehlin (1) , Alexia Rohmer (1) , Vincent Zilliox (1) , Samuel Nicaise (1) , Hinrich Gronemeyer (1) , Marco Antonio Mendoza-Parra (2)

1 IGBMC - Institut de Génétique et de Biologie Moléculaire et Cellulaire
2 UMR 8030 - Génomique métabolique

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.

Domaines: Biochimie, Biologie Moléculaire; Biologie moléculaire

Pierre-Etienne Cholley, Julien Moehlin, Alexia Rohmer, Vincent Zilliox, Samuel Nicaise, et al.. Modeling gene-regulatory networks to describe cell fate transitions and predict master regulators. npj Systems Biology and Applications, 2018, 4, ⟨10.1038/s41540-018-0066-z⟩. ⟨hal-02364385⟩