Journal of NeurochemistryBiochemistryPeer-reviewed journal article
Dissociation of the mTOR protein interaction network following neuronal activation is altered by Shank3 mutation
Devin T. WehleiD, Emily A. BrowniD, Vera Stamenković, Breann Kniffen, Felicia M. HarshiD, Stephen E.P. SmithiD
Abstract
The mechanistic target of Rapamycin (mTOR) kinase pathway plays critical roles in neuronal function and synaptic plasticity, and its dysfunction is implicated in numerous neurological and psychiatric disorders. Traditional linear models depict mTOR signaling as a sequential phosphorylation cascade, but accumulating evidence supports a model that includes signaling through dynamic protein-protein interaction networks. To examine how neuronal mTOR signaling discriminates between distinct stimuli, we quantified phosphorylation events and protein co-association networks in primary mouse cortical neurons. Unexpectedly, neuronal mTOR activation by IGF or glutamate triggered dissociation--rather than the anticipated assembly--of protein complexes involving mTOR complex1 (TORC1), mTOR complex 2 (TORC2), and translational machinery, distinguishing neurons from proliferative cells. Applying in vitro homeostatic scaling paradigms revealed distinct combinatorial encoding of synaptic scaling direction: both up- and down-scaling induced dissociation of translational complexes, but downscaling uniquely included dissociation of upstream pathway regulators. Cortical neurons from Shank3B knockout mice, modeling autism-associated Phelan-McDermid Syndrome, displayed baseline hyperactivation of the mTOR network, which reduced the dynamic range of network responses to homeostatic scaling and pharmacological inhibition. These findings reveal that neuronal mTOR signaling employs stimulus-specific combinations of dissociative protein interaction modules to encode opposing forms of synaptic plasticity.
- organism: mouse
- assay: proteomics
- research focus: cell signaling & trafficking
- research focus: synaptic & neural circuits
- research focus: cell type annotation
- approach: experimental assay
- approach: statistical model
- Citations
- 3
- FWCI
- 4.18
- Field percentile
- top 9%
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