Systems Biology ePosters

Although memories are largely thought to be encoded in the brain via modifications to synaptic weights, technical and conceptual issues with this view (e.g., the large disparity between the time scale of synaptic turnover and long-term human memories) lead some to hypothesize that intracellular processes like gene…

Animals are dynamical systems possessing a wide range of capabilities mediated by interactions between their constitutive cells. The brain, central integrator and coordinator of bodily output, solves problems in the context of bodily needs, driven by external environmental signals and internal bodily signals. While…

Parkinson's disease (PD), characterized by the absence of dopamine in the striatum[1], is caused by the death of the substantia nigra pars compacta dopamine (SNcDA) neurons in the midbrain. The loss of these autonomously pacemaking[2] neurons is attributed to irreparable damage due to a dysregulation cascade starting…

Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used bioinformatics method that defines gene clusters (modules) based on correlated expression levels, allowing users to study relationships between modules, define groups of genes subserving common biological functions, and compare network topologies…

During mammalian neural development, mitotic cells sense local cues and morphogenic gradients to form complex and coherent processing systems, such as the cerebral cortex, that contains billions of neurons classified into different cell types. We use agent-based simulations of cellular growth and differentiation to…

Much progress has been made in understanding the dynamics of spontaneous epileptic seizures [1], while an understanding of why and how the disease develops (epileptogenesis) remains elusive. Here, we present a first-of-its-kind model of epileptogenesis describing the interactions between neuroinflammation, blood-brain…

Data provenance and model complexity are recurring challenges when simulating neural function, particularly signaling, at the level of detail needed to address disease conditions. Here we report a data-driven modeling and model abstraction framework applied to ~40 signaling pathways involved in translation and FXS.…