| Literature DB >> 33409475 |
Shekhar Kedia1, Pratyush Ramakrishna2, Pallavi Rao Netrakanti1, Nivedita Singh1, Sangram S Sisodia3, Mini Jose1, Sathish Kumar4, Anita Mahadevan5, Narendrakumar Ramanan1, Suhita Nadkarni2, Deepak Nair1.
Abstract
Despite intuitive insights into differential proteolysis of amyloid precursor protein (APP), the stochasticity behind local product formation through amyloidogenic pathway at individual synapses remain unclear. Here, we show that the major components of amyloidogenic machinery namely, APP and secretases are discretely organized into nanodomains of high local concentration compared to their immediate environment in functional zones of the synapse. Additionally, with the aid of multiple models of Alzheimer's disease (AD), we confirm that this discrete nanoscale chemical map of amyloidogenic machinery is altered at excitatory synapses. Furthermore, we provide realistic models of amyloidogenic processing in unitary vesicles originating from the endocytic zone of excitatory synapses. Thus, we show how an alteration in the stochasticity of synaptic nanoscale organization contributes to the dynamic range of C-terminal fragments β (CTFβ) production, defining the heterogeneity of amyloidogenic processing at individual synapses, leading to long-term synaptic deficits as seen in AD.Entities:
Keywords: Cellular Neuroscience; Molecular Neuroscience; Optical Imaging
Year: 2020 PMID: 33409475 PMCID: PMC7773964 DOI: 10.1016/j.isci.2020.101924
Source DB: PubMed Journal: iScience ISSN: 2589-0042