Dynamical gene regulatory networks are tuned by transcriptional autoregulation with microRNA feedback.

ABSTRACT: Concepts from dynamical systems theory, including multi-stability, oscillations, robustness and stochasticity, are critical for understanding gene regulation during cell fate decisions, inflammation and stem cell heterogeneity. However, the prevalence of the structures within gene networks that drive these dynamical behaviours, such as autoregulation or feedback by microRNAs, is unknown. We integrate transcription factor binding site (TFBS) and microRNA target data to generate a gene interaction network across 28 human tissues. This network was analysed for motifs capable of driving dynamical gene expression, including oscillations. Identified autoregulatory motifs involve 56% of transcription factors (TFs) studied. TFs that autoregulate have more interactions with microRNAs than non-autor

SUBMITTER: Minchington TG 

PROVIDER: S-EPMC7395740 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature