Christian Luscher and Camilla Bellone show that ASD- model mice with reduced SHANK3 in the VTA have altered excitatory synapse transmission and impaired social behaviors.
Research Highlights
Highlights of SFARI-funded papers, selected by the SFARI science team.
Subscribe to our newsletter and receive SFARI funding announcements and news
Using fMRI in typically developing children, Vinod Menon finds one’s mother’s voice activates a network of brain regions predictive of a child’s social communication skills.
Dan Arking compares large-scale transcriptome datasets from neurotypical individuals and those with autism, schizophrenia and bipolar disorder.
Michael Wigler and Dan Levy develop a new fragmentation and sequencing method for CNV analysis that generates high-resolution CNV data at lower cost than traditional analyses.
Benjamin Philpot shows that seizure susceptibility in an Angelman syndrome mouse model results from the specific loss of UBE3A from GABAergic, but not glutamatergic, neurons.
Simons Center for Data Analysis scientist Richard Bonneau develops a method to assess disease gene variants that combines sequence analysis and protein structural modeling.
Guoping Feng and Michael Halassa create mice with global or thalamic-specific loss of the ASD-risk gene PTCHD1 to show specific roles for thalamic PTCHD1 in ASD-like behaviors.
By comparing phenotypes in 25 individuals with de novo mutations in POGZ with SSC ASD phenotypic data, Evan Eichler uncovers a distinct POGZ-ASD clinical subtype.
- Previous Page
- Viewing
- Next Page