Multiparametric Assays Capture Sex- and Environment-Dependent Modifiers of Behavioral Phenotypes in Autism Mouse Models

• DOI: 10.1016/j.bpsgos.2024.100366
• Publication Date: 2024-07-20T06:30:27Z
• Authors: Lucas Wahl; Arun Karim; Amy R. Hassett; Max van der Doe; Stephanie Dijkhuizen; Aleksandra Badura
• Keywords: Behavioral Modeling; Discriminative model; Behavioral pattern

Current phenotyping approaches for murine autism models often focus on one selected behavioral feature, making the translation onto a spectrum of autistic characteristics in humans challenging. Furthermore, sex and environmental factors are rarely considered. Here, we aimed to capture full manifestations three mouse develop "behavioral fingerprint" that takes influences under consideration. To this end, employed wide range classical standardized tests; two multi-parametric assays: Live Mouse Tracker Motion Sequencing (MoSeq), male female Shank2, Tsc1 Purkinje cell specific-Tsc1 mutant mice raised standard or enriched environments. Our aim was integrate our high dimensional data into single platform classify differences all experimental groups along dimensions with maximum discriminative power. Multi-parametric assays enabled far more accurate classification compared tests, dimensionality reduction analysis demonstrated significant additional gains accuracy, highlighting presence sex, genotype groups. Together, results provide complete phenotypic description tested groups, suggesting can entire heterogenous phenotype models.