SFARI is working to advance autism science by providing a number of key resources to researchers.
We solicit applications for SFARI Awards from individuals who will conduct bold, imaginative, rigorous and relevant research in four main research areas: gene discovery, molecular mechanisms, circuits, cognition and behavior, and clinical.
Olga Troyanskaya, Robert Darnell and colleagues applied deep-learning methods to whole-genome sequencing data from SSC families and identified a clear enrichment for de novo noncoding variation in ASD.
James Ellis and colleagues used a sparse co-culture system for iPSC-derived cortical neurons to assess neuronal connectivity, demonstrating increased connectivity in SHANK2-mediated ASD.
Mark Zylka and colleagues generated single-cell RNA-seq data from wild-type mouse cortex during early development and demonstrated how such a resource can be used to identify putative brain disorder subtypes based on expression profiles.