Transcriptome-based classification in mice with ASD-risk mutations.

Transcriptome analysis of 17 ASD-risk mouse lines reveals two opposing molecular states with distinct sex, regional, and developmental features.

• Why it matters: Understanding the molecular diversity in ASD models can improve classification and targeted interventions, addressing gaps in translating genetic findings to functional insights.
• What they did: The study used RNA-seq on 1008 prefrontal cortex samples from mouse lines with ASD-risk mutations, identifying two transcriptomic groups with contrasting characteristics, including cell type remodeling and drug responses.
• The result: This classification enables molecular stratification of ASD models, highlighting conserved synaptic patterns and broad cell type changes, which may inform personalized therapeutic strategies.