Proteomics

Dataset Information

0

Quantitative proteomic characterization of hippocampus during ageing from APP/PS1 mice brain


ABSTRACT: Ageing is the most important non-genetic risk factor of late-onset AD. However, the relationship between AD and aging process is still unclear. Here, by comparative analysis, we demonstrated the low correlation between AD and aging process during ageing.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Brain

DISEASE(S): Alzheimer's Disease

SUBMITTER: Wei Ge  

LAB HEAD: Wei Ge

PROVIDER: PXD005875 | Pride | 2022-03-20

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
APP_Hippo_Mouse_Lumos.msf Msf
APP_Hippo_Mouse_Lumos.pdResult Other
APP_Hippo_Mouse_Lumos.pep.xml Pepxml
APP_Hippo_Mouse_Lumos.prot.xml Xml
MS160992_H1.raw Raw
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Publications

Quantitative proteomics reveals distinct composition of amyloid plaques in Alzheimer's disease.

Xiong Feng F   Ge Wei W   Ma Chao C  

Alzheimer's & dementia : the journal of the Alzheimer's Association 20190102 3


<h4>Introduction</h4>We investigated the proteomic profiles of amyloid plaques (APs) from Alzheimer's disease (AD) and age-matched non-AD brains and APP/PS1 transgenic model mice.<h4>Methods</h4>APs and adjacent control regions were collected from fresh-frozen brain sections using laser capture dissection. Proteins were quantitated using tag-labeling coupled high-throughput mass spectra.<h4>Results</h4>Over 4000 proteins were accurately quantified, and more than 40 were identified as highly enri  ...[more]

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