bioRxivNeurosciencePreprint
Integrated proteomics reveals the landscape of autophagy degradation in human neurons and autophagy receptors regulating neuronal activity
Xiaoting ZhouiD, You-Kyung LeeiD, Xianting LiiD, Henry KimiD, Carlos Sánchez-PriegoiD, Xian HaniD, Haiyan TaniD, Suiping ZhouiD, Yingxue FuiD, Kerry PurtelliD, Qian WangiD, Gay R. HolsteiniD, Beisha TangiD, Junmin PengiD, Nan YangiD, Zhenyu YueiD
Abstract
Autophagy is a catabolic and self-degradative process crucial for maintaining cellular homeostasis. Malfunctional autophagy is implicated in neurodevelopmental and neurodegenerative diseases. However, the exact role and targets of autophagy in human neurons remain elusive. Here we reported a systematic investigation of neuronal autophagy targets through integrated proteomics. Deep proteomic profiling of multiple autophagy-deficient lines of human induced neurons, mouse brains, and LC3-interactome uncovers a role of neuronal autophagy in targeting primarily endoplasmic reticulum (ER), mitochondria, endosome, Golgi apparatus, synaptic vesicle (SV) proteins, and cAMP-PKA pathway, for degradation. Tubular ER and specific SV proteins are significant autophagy cargos in the axons. Functional validation identified calumenin as an ER resident autophagy receptor and illuminated a role of autophagy in regulating PKA and neuronal activity through AKAP11-mediated degradation. Our study thus reveals the landscape of autophagy degradation in human neurons and offers molecular insight into mechanisms of neurological disorders linked to autophagy deficiency. HighlightO_LIIntegrated proteomics reveals the landscape of autophagy degradation in human neurons C_LIO_LIAutophagy clears tubular ER and selective ER and synaptic vesicle proteins in neurons C_LIO_LICalumenin is an ER resident autophagy receptor C_LIO_LIAutophagy controls PKA pathway and neuronal activity through autophagy receptor AKAP11 C_LI
- organism: human
- organism: mouse
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: protein structure prediction
- research focus: drug response / drug discovery
- approach: statistical model
- approach: experimental assay
- Citations
- 2
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