A novel Boolean network inference strategy to model early hematopoiesis aging

From single cell RNA-seq (scRNA-seq) data and current knowledge in early hematopoiesis (literature and biological database investigation), 3 inputs were obtained to define the Boolean network synthesis of this process as a Boolean satisfiability problem depending on observations of states in the differentiation process: 1. Influence graph between selected components. 2. Discretized component activity levels in the considered states (blue: 0/inactive, white: */unknown or free, red: 1/active). 3. Dynamic relations (stable states, (non) reachability) between the considered states. After the solving, a Boolean model of early hematopoiesis is obtained. This model is altered according to the characteristics of aging observed in our scRNA-seq data, in order to identify the main molecular actors and mechanisms of aging.