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Asmerian, H.

Publications and source records attributed to Asmerian, H..

2 recordsLinked to original sources

Synaptic vesicles that store monoamines and glutamate differ in protein composition.

Neuromodulators such as the monoamines are known to differ from classical neurotransmitters like glutamate in the time scale of signaling due to activation of slower G protein-coupled receptors. Recent work has suggested that the mode of release also differs between classical and modulatory transmitters. Although many components of neurotransmitter release machinery have been identified, we still understand little about the mechanisms responsible for differences in release. In this study, we address the differences between release of dopamine and glutamate by comparing the composition of synaptic vesicles (SVs) that contain the vesicular monoamine transporter 2 (VMAT2) versus vesicular glutamate transporter 2 (VGLUT2). Previous work has shown that these SV populations differ in frequency dependence, recycling kinetics and biogenesis. Taking advantage of a CRISPR-generated knock-in mouse with a cytoplasmic hemagglutinin (HA) tag at the N-terminus of VMAT2 to immunoisolate monoamine SVs, we find differences in the abundance and isoform expression of many SV protein families. Validation in primary neurons and in brain tissue confirms these differences in SV protein abundance between dopamine and glutamate release sites. Functional analysis reveals that the loss of differentially expressed SCAMP5 selectively impairs the recycling of VGLUT2 SVs, sparing VMAT2 vesicles in the same neuronal population. These findings provide new insights into the molecular diversity of SVs and the mechanisms that regulate the release of dopamine and glutamate, with implications for the physiological role of these transmitters and behavior.

neuroscience↗

Predictors of sensorimotor adaption: insights from over 100,000 reaches

Sensorimotor adaptation is essential for keeping our movements well-calibrated in response to changes in the body and environment. For over a century, we have studied sensorimotor adaptation in highly controlled laboratory settings that typically involve small sample sizes. While this approach has proven useful to characterize different learning processes, laboratory studies are typically very underpowered to generate data suited for exploring the myriad of factors that may modulate motor performance. Here, using a citizen science website (testmybrain.org), we collected over 2000 sessions on a visuomotor rotation task. This unique dataset has allowed us to replicate classic motor findings, reconcile controversial findings in the learning and memory literature, and discover novel constraints underlying dissociable implicit and explicit learning processes supporting sensorimotor adaptation. Taken together, this study suggests that large-scale motor learning studies hold enormous potential to advance sensorimotor neuroscience.

neuroscience↗