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Broad proteomics analysis of seeding-induced aggregation of [alpha]-synuclein in M83 neurons reveals remodeling of proteostasis mechanisms that might contribute to Parkinson's disease pathogenesis
Aggregation of misfolded [alpha]-synuclein ([alpha]-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...
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Published in: | Molecular brain 2024-05, Vol.17 (1) |
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creator | Lumpkin, Casey J Patel, Hiral Potts, Gregory K Chaurasia, Shilpi Gibilisco, Lauren Srivastava, Gyan P Lee, Janice Y Brown, Nathan J Amarante, Patricia Williams, Jon D Karran, Eric Townsend, Matthew Woods, Dori Ravikumar, Brinda |
description | Aggregation of misfolded [alpha]-synuclein ([alpha]-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 [alpha]-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 [alpha]-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 [alpha]-syn aggregation and a greater understanding of both processes and their role in [alpha]-syn-related proteostasis may lead to improved therapeutic options for patients with PD and related disorders. Keywords: Parkinson's disease, M83 mouse model, Total and phospho proteomics |
doi_str_mv | 10.1186/s13041-024-01099-1 |
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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 [alpha]-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 [alpha]-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 [alpha]-syn aggregation and a greater understanding of both processes and their role in [alpha]-syn-related proteostasis may lead to improved therapeutic options for patients with PD and related disorders. 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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 [alpha]-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 [alpha]-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 [alpha]-syn aggregation and a greater understanding of both processes and their role in [alpha]-syn-related proteostasis may lead to improved therapeutic options for patients with PD and related disorders. Keywords: Parkinson's disease, M83 mouse model, Total and phospho proteomics</description><subject>Development and progression</subject><subject>Diseases</subject><subject>Mass spectrometry</subject><subject>Neurons</subject><subject>Protein-protein interactions</subject><subject>Proteomics</subject><subject>Scientific equipment and supplies industry</subject><subject>United States</subject><issn>1756-6606</issn><issn>1756-6606</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNptUMtKxEAQDKLg8wc8DXjwNOt0HpPNcRVfsKIHbyLSmXSS0WRmSc8K-39-mLPowYN0QzXVXVXQSXIKagYw1xcMmcpBqjSXClRVSdhJDqAstNRa6d0_835yyPyulE41FAfJ1-XksRGryQfyozUs0OGwYcvCt4KJGus6aV2zNtQI7LqJOgzWu-36BYdVj6-SN25tBrJOxH6YZ8LRevKOxUSfhMMWR9_QEK22sp8wDrhNGcn06CyPLEKPQYy264Mw3oXJ1utAInjxhNOHdezdOYvGMiGTWGHofUeOoslxstfGGDr5xaPk-eb6-epOLh9v768WS9npMpXznKjEOsO81HXZZkZX0KZAGgBMCwWmhSIDdRG5IisqlVeQUxapDAlrzI6Ssx_bDgd6s671YUIzWjZvi7LKqxTmeRqvZv9cxWoo_tc7am3k_wi-AZgEjYE</recordid><startdate>20240522</startdate><enddate>20240522</enddate><creator>Lumpkin, Casey J</creator><creator>Patel, Hiral</creator><creator>Potts, Gregory K</creator><creator>Chaurasia, Shilpi</creator><creator>Gibilisco, Lauren</creator><creator>Srivastava, Gyan P</creator><creator>Lee, Janice Y</creator><creator>Brown, Nathan J</creator><creator>Amarante, Patricia</creator><creator>Williams, Jon D</creator><creator>Karran, Eric</creator><creator>Townsend, Matthew</creator><creator>Woods, Dori</creator><creator>Ravikumar, Brinda</creator><general>BioMed Central Ltd</general><scope/></search><sort><creationdate>20240522</creationdate><title>Broad proteomics analysis of seeding-induced aggregation of [alpha]-synuclein in M83 neurons reveals remodeling of proteostasis mechanisms that might contribute to Parkinson's disease pathogenesis</title><author>Lumpkin, Casey J ; Patel, Hiral ; Potts, Gregory K ; Chaurasia, Shilpi ; Gibilisco, Lauren ; Srivastava, Gyan P ; Lee, Janice Y ; Brown, Nathan J ; Amarante, Patricia ; Williams, Jon D ; Karran, Eric ; Townsend, Matthew ; Woods, Dori ; Ravikumar, Brinda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g672-84ee7ab3a476b7f3c691f21e6111cf15a250ec1b521e535904914e3ec13aeaba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Development and progression</topic><topic>Diseases</topic><topic>Mass spectrometry</topic><topic>Neurons</topic><topic>Protein-protein interactions</topic><topic>Proteomics</topic><topic>Scientific equipment and supplies industry</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lumpkin, Casey J</creatorcontrib><creatorcontrib>Patel, Hiral</creatorcontrib><creatorcontrib>Potts, Gregory K</creatorcontrib><creatorcontrib>Chaurasia, Shilpi</creatorcontrib><creatorcontrib>Gibilisco, Lauren</creatorcontrib><creatorcontrib>Srivastava, Gyan P</creatorcontrib><creatorcontrib>Lee, Janice Y</creatorcontrib><creatorcontrib>Brown, Nathan J</creatorcontrib><creatorcontrib>Amarante, Patricia</creatorcontrib><creatorcontrib>Williams, Jon D</creatorcontrib><creatorcontrib>Karran, Eric</creatorcontrib><creatorcontrib>Townsend, Matthew</creatorcontrib><creatorcontrib>Woods, Dori</creatorcontrib><creatorcontrib>Ravikumar, Brinda</creatorcontrib><jtitle>Molecular brain</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lumpkin, Casey J</au><au>Patel, Hiral</au><au>Potts, Gregory K</au><au>Chaurasia, Shilpi</au><au>Gibilisco, Lauren</au><au>Srivastava, Gyan P</au><au>Lee, Janice Y</au><au>Brown, Nathan J</au><au>Amarante, Patricia</au><au>Williams, Jon D</au><au>Karran, Eric</au><au>Townsend, Matthew</au><au>Woods, Dori</au><au>Ravikumar, Brinda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Broad proteomics analysis of seeding-induced aggregation of [alpha]-synuclein in M83 neurons reveals remodeling of proteostasis mechanisms that might contribute to Parkinson's disease pathogenesis</atitle><jtitle>Molecular brain</jtitle><date>2024-05-22</date><risdate>2024</risdate><volume>17</volume><issue>1</issue><issn>1756-6606</issn><eissn>1756-6606</eissn><abstract>Aggregation of misfolded [alpha]-synuclein ([alpha]-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 [alpha]-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 [alpha]-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 [alpha]-syn aggregation and a greater understanding of both processes and their role in [alpha]-syn-related proteostasis may lead to improved therapeutic options for patients with PD and related disorders. Keywords: Parkinson's disease, M83 mouse model, Total and phospho proteomics</abstract><pub>BioMed Central Ltd</pub><doi>10.1186/s13041-024-01099-1</doi></addata></record> |
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subjects | Development and progression Diseases Mass spectrometry Neurons Protein-protein interactions Proteomics Scientific equipment and supplies industry United States |
title | Broad proteomics analysis of seeding-induced aggregation of [alpha]-synuclein in M83 neurons reveals remodeling of proteostasis mechanisms that might contribute to Parkinson's disease pathogenesis |
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