Broad proteomics analysis of seeding-induced aggregation of α-synuclein in M83 neurons reveals remodeling of proteostasis mechanisms that might contribute to Parkinson's disease pathogenesis.
Casey J Lumpkin, Hiral Patel, Gregory K Potts, Shilpi Chaurasia, Lauren Gibilisco, Gyan P Srivastava, Janice Y Lee, Nathan J Brown, Patricia Amarante, Jon D Williams, Eric Karran, Matthew Townsend, Dori Woods, Brinda Ravikumar
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引用次数: 0
Abstract
Aggregation of misfolded α-synuclein (α-syn) is a key characteristic feature of Parkinson's disease (PD) and related synucleinopathies. The nature of these aggregates and their contribution to cellular dysfunction is still not clearly elucidated. We employed mass spectrometry-based total and phospho-proteomics to characterize the underlying molecular and biological changes due to α-syn aggregation using the M83 mouse primary neuronal model of PD. We identified gross changes in the proteome that coincided with the formation of large Lewy body-like α-syn aggregates in these neurons. We used protein-protein interaction (PPI)-based network analysis to identify key protein clusters modulating specific biological pathways that may be dysregulated and identified several mechanisms that regulate protein homeostasis (proteostasis). The observed changes in the proteome may include both homeostatic compensation and dysregulation due to α-syn aggregation and a greater understanding of both processes and their role in α-syn-related proteostasis may lead to improved therapeutic options for patients with PD and related disorders.
期刊介绍:
Molecular Brain is an open access, peer-reviewed journal that considers manuscripts on all aspects of studies on the nervous system at the molecular, cellular, and systems level providing a forum for scientists to communicate their findings.
Molecular brain research is a rapidly expanding research field in which integrative approaches at the genetic, molecular, cellular and synaptic levels yield key information about the physiological and pathological brain. These studies involve the use of a wide range of modern techniques in molecular biology, genomics, proteomics, imaging and electrophysiology.