Innovative Reversible Technique Targets Neural Circuits with Molecular Precision

A pioneering technique enables reversible, precise disruption of brain neural circuits using engineered proteins, opening new avenues for neuroscience research and potential therapies for neurological disorders.
Scientists at USC Dornsife have developed a groundbreaking method that allows for the precise, reversible disconnection of specific neural pathways in the brain. This advance, detailed in the journal eLife, introduces specialized genetically engineered tools capable of selectively eliminating either excitatory or inhibitory synapses—the critical junctions where neurons communicate—without affecting the entire neuron. This level of specificity is unprecedented in neuroscience, as it enables researchers to study the microcircuits that underpin perception, behavior, and memory with unparalleled accuracy.
The technique employs E3 ligases, enzymes involved in the cell’s protein recycling, which tag proteins at synapses for degradation. Paired with antibody-like molecules that bind to synaptic scaffolding proteins, these tools direct the brain's natural proteasome system to selectively dismantle chosen synapses. Named PFE3 and GFE3, these tools target excitatory and inhibitory synapses, respectively, and can be activated by light or chemical signals. Crucially, the destruction of synapses is reversible; turning off the tools allows neurons to regrow the lost connections within days, enabling dynamic exploration of neural circuit function.
This innovation holds promise for advancing our understanding of how brain microcircuits operate and could one day lead to therapies that precisely target dysfunctional neural pathways in conditions like epilepsy, addiction, and PTSD, without damaging surrounding tissues. The research signifies a major leap in neuroengineering, offering scientists a powerful new way to manipulate brain circuits with molecular precision, and the potential for future therapeutic applications.
Stay Updated with Mia's Feed
Get the latest health & wellness insights delivered straight to your inbox.
Related Articles
Single Brain Scan Could Predict Risk of Age-Related Conditions Like Dementia
A new MRI-based biomarker, DunedinPACNI, developed by researchers, can predict individual aging rates from a single brain scan at midlife, enabling early intervention for age-related diseases like dementia.
Limited Access to Alzheimer's Treatments in Rural Georgia Raises Concerns
A new study reveals significant disparities in Alzheimer's treatment access for rural residents in Georgia, highlighting urgent healthcare inequities and the need for resource redistribution.
Early Life Factors and Their Role in Developing Multiple Sclerosis
Recent research highlights how childhood infections, stress, maternal age, and physical activity levels can influence the risk of developing multiple sclerosis later in life. Discover how early-life factors may impact MS development and prevention strategies.