Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease

Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease

Abstract Background Proteomic characterization of microglia provides the most proximate assessment of functionally relevant molecular mechanisms of neuroinflammation. However, microglial proteomics studies have been limited by low cellular yield and contamination by non-microglial proteins using exi...

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Bibliographic Details
Main Authors: Sruti Rayaprolu, Tianwen Gao, Hailian Xiao, Supriya Ramesha, Laura D. Weinstock, Jheel Shah, Duc M. Duong, Eric B. Dammer, James A. Webster, James J. Lah, Levi B. Wood, Ranjita Betarbet, Allan I. Levey, Nicholas T. Seyfried, Srikant Rangaraju
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Molecular Neurodegeneration
Subjects:
Microglia
Proteomics
Mass spectrometry
FACS
MACS
Alzheimer’s disease
Online Access:http://link.springer.com/article/10.1186/s13024-020-00377-5

Internet

http://link.springer.com/article/10.1186/s13024-020-00377-5

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