In-depth proteome analysis of brain tissue from Ewsr1 knockout mouse by multiplexed isobaric tandem mass tag labeling

Authors
Jung, Jin WooKim, HyeyoonPark, JoonhoWoo, JongminJeon, EunjiLee, GeeeunPark, MinseoKim, SarangSeo, HoseokCheon, SeongminDan, KisoonLee, jungheeRyu, HoonHan, Dohyun
Issue Date
2023-09
Publisher
Nature Publishing Group
Citation
Scientific Reports, v.13, no.1
Abstract
EWS RNA binding protein 1 (EWSR1) is a multifunctional protein whose epigenetic signatures contribute to the pathogenesis of various human diseases, such as neurodegenerative disorders, skin development, and tumorigenic processes. However, the specific cellular functions and physiological characteristics of EWSR1 remain unclear. In this study, we used quantitative mass spectrometry-based proteomics with tandem mass tag labeling to investigate the global proteome changes in brain tissue in Ewsr1 knockout and wild-type mice. From 9115 identified proteins, we selected 118 differentially expressed proteins, which is common to three quantitative data processing strategies including only protein level normalizations and spectrum-protein level normalization. Bioinformatics analysis of these common differentially expressed proteins revealed that proteins up-regulated in Ewsr1 knockout mouse are mostly related to the positive regulation of bone remodeling and inflammatory response. The down-regulated proteins were associated with the regulation of neurotransmitter levels or amino acid metabolic processes. Collectively, these findings provide insight into the physiological function and pathogenesis of EWSR1 on protein level. Better understanding of EWSR1 and its protein interactions will advance the field of clinical research into neuronal disorders. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD026994.
Keywords
DYSFUNCTION; PROTEINS; FAMILY; LEADS; EXPRESSION; FUSION
ISSN
2045-2322
URI
https://pubs.kist.re.kr/handle/201004/79822
DOI
10.1038/s41598-023-42161-7
Appears in Collections:
KIST Article > 2023
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