Python and MATLAB scripts for studying the dual effects of SCZ-related genes on layer 5 pyramidal cell firing and sinoatrial node cell pacemaking properties. The study is based on two L5PC models (Hay et al. 2011, Almog & Korngreen 2014) and SANC models (Kharche et al. 2011, Severi et al. 2012).
Model Type: Neuron or other electrically excitable cell
Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Cardiac atrial cell
Currents: I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I M; I h; I K,Ca; I Sodium; I Calcium; I Potassium; I A, slow; Na/Ca exchanger; I_SERCA; Na/K pump; Kir
Genes: Nav1.1 SCN1A; Cav3.3 CACNA1I; Cav1.3 CACNA1D; Cav1.2 CACNA1C
Model Concept(s): Schizophrenia
Simulation Environment: NEURON; MATLAB; Python
Implementer(s): Maki-Marttunen, Tuomo [tuomomm at uio.no]
References:
Mäki-Marttunen T et al. (2017). Pleiotropic effects of schizophrenia-associated genetic variants in neuron firing and cardiac pacemaking revealed by computational modeling. Translational psychiatry. 7 [PubMed]