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PXD005824

DataSet Summary

  • HostingRepository: PRIDE
  • AnnounceDate: 2019-02-18
  • AnnouncementXML: Submission_2019-02-18_05:36:15.xml
  • DigitalObjectIdentifier:
  • ReviewLevel: Peer-reviewed dataset
  • DatasetOrigin: Original data
  • RepositorySupport: Unsupported dataset by repository
  • PrimarySubmitter: Wei Ge
  • Title: Quantitative proteomic characterization of senile plaques from Alzheimer's disease and non-demented brain
  • Description: The deposition of amyloid senile plaques (SPs) play a central role in Alzheimer’s disease (AD), but the mechanisms by which SPs induce neural toxicity are disputed. Genetically engineered mouse models emphasising SPs have had limited success in reproducing the neuropathology of AD, and have also failed to be good indicators of successful amyloid-targeting therapies. Moreover, elderly people with a heavy plaque burden can show normal cognition. Therefore, it is fundamentally important to fully characterize and distinguish the pathological changes elicited by SPs in human and mouse brains. Using laser capture microdissection (LCM) combined with high-throughput mass spectrometry, we quantified ~5000 proteins with high confidence in SPs and non-plaque regions from AD and non-AD human postmortem brain. We found proteomic alteration in SPs is more evident than in non-plaque regions, and identified more than 30 human that are significantly enriched in SPs. We found that AD SPs elicited much more extensive proteomic alterations compared to non-AD SPs. Together, our findings represent the most systematic analysis of sub-proteome of senile plaques and provide a framework for future studies on plaque pathology and AD progression.
  • SpeciesList: scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
  • ModificationList: monohydroxylated residue; deamidated residue; iodoacetamide derivatized residue
  • Instrument: Orbitrap Fusion Lumos

Dataset History

VersionDatetimeStatusChangeLog Entry
02017-02-01 02:03:53ID requested
12019-02-18 05:36:16announced

Publication List

  1. Xiong F, Ge W, Ma C, Quantitative proteomics reveals distinct composition of amyloid plaques in Alzheimer's disease. Alzheimers Dement, 15(3):429-440(2019) [pubmed]

Keyword List

  1. curator keyword: Biological, Biomedical
  2. submitter keyword: Human, amyloid plaque, senile plaque, Alzheimer's disease, brain

Contact List

    Wei Ge
    • contact affiliation: Department of immunology, Peking Union Medical College, Beijing, China
    • contact email: wei.ge@chem.ox.ac.uk
    • lab head:
    Wei Ge
    • contact affiliation: National Key Laboratory of Medical Molecular Biology & Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences
    • contact email: wei.ge@chem.ox.ac.uk
    • dataset submitter:

Full Dataset Link List

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