Erin Marie Smith , Maeve Louise Coughlan , Sandra Maday
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Turning garbage into gold: Autophagy in synaptic function
Trillions of synapses in the human brain enable thought and behavior. Synaptic connections must be established and maintained, while retaining dynamic flexibility to respond to experiences. These processes require active remodeling of the synapse to control the composition and integrity of proteins and organelles. Macroautophagy (hereafter, autophagy) provides a mechanism to edit and prune the synaptic proteome. Canonically, autophagy has been viewed as a homeostatic process, which eliminates aged and damaged proteins to maintain neuronal survival. However, accumulating evidence suggests that autophagy also degrades specific cargoes in response to neuronal activity to impact neuronal transmission, excitability, and synaptic plasticity. Here, we will discuss the diverse roles, regulation, and mechanisms of neuronal autophagy in synaptic function and contributions from glial autophagy in these processes.
期刊介绍:
Current Opinion in Neurobiology publishes short annotated reviews by leading experts on recent developments in the field of neurobiology. These experts write short reviews describing recent discoveries in this field (in the past 2-5 years), as well as highlighting select individual papers of particular significance.
The journal is thus an important resource allowing researchers and educators to quickly gain an overview and rich understanding of complex and current issues in the field of Neurobiology. The journal takes a unique and valuable approach in focusing each special issue around a topic of scientific and/or societal interest, and then bringing together leading international experts studying that topic, embracing diverse methodologies and perspectives.
Journal Content: The journal consists of 6 issues per year, covering 8 recurring topics every other year in the following categories:
-Neurobiology of Disease-
Neurobiology of Behavior-
Cellular Neuroscience-
Systems Neuroscience-
Developmental Neuroscience-
Neurobiology of Learning and Plasticity-
Molecular Neuroscience-
Computational Neuroscience