Researchers at UC San Francisco have completed a comprehensive analysis of protein interactions associated with genes linked to profound autism, a finding published in the journal Science that experts describe as a significant advancement for the field.
The study involved mapping more than 1,800 protein interactions stemming from autism risk genes. The team identified 100 proteins produced by high-risk autism genes, introduced them into laboratory cells, and tracked which additional proteins attached to them. They then employed artificial intelligence technology called AlphaFold to determine direct protein connections, substantially reducing analysis time from years to approximately one hour.
The researchers introduced genetic mutations found in patients with profound autism to observe how the proteins functioned when altered. This work was conducted in frog models and brain organoids, laboratory-grown tissues that simulate human brain development. One example revealed that mutations weakened connections between two proteins involved in gene regulation, causing one to malfunction and activate other genes that led to neurodevelopmental defects in the organoids.
Despite hundreds of distinct rare autism genes operating through different mechanisms, the analysis revealed that many converge on shared biological pathways, particularly those related to early brain development, synaptic construction, and neuronal differentiation. This convergence provides researchers with clearer targets for therapeutic intervention. The findings represent progress in understanding profound autism, a condition characterized by severe intellectual disability, minimal verbal communication, and often accompanying medical complications such as epilepsy that typically requires continuous care.
Experts outside the research team characterized the molecular atlas as a crucial resource for the field, potentially accelerating development of treatments for families affected by profound autism. The work bridges a previous gap between genetic discovery and treatment applications by illuminating the mechanistic connections between gene mutations and disease manifestation at the protein level.
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