PXD018590
PXD018590 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression |
| Description | The molecular networks underlying Alzheimer’s disease (AD) are not well-defined. We present temporal profiling of >14,000 proteins and >34,000 phosphosites at the asymptomatic and symptomatic stages of AD, deep proteomics analysis of transgenic mouse models. |
| HostingRepository | PRIDE |
| AnnounceDate | 2020-04-16 |
| AnnouncementXML | Submission_2020-04-15_22:51:27.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Yuxin Li |
| SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Q Exactive HF |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2020-04-15 15:54:38 | ID requested | |
| ⏵ 1 | 2020-04-15 22:56:10 | announced |
Publication List
| Bai B, Wang X, Li Y, Chen PC, Yu K, Dey KK, Yarbro JM, Han X, Lutz BM, Rao S, Jiao Y, Sifford JM, Han J, Wang M, Tan H, Shaw TI, Cho JH, Zhou S, Wang H, Niu M, Mancieri A, Messler KA, Sun X, Wu Z, Pagala V, High AA, Bi W, Zhang H, Chi H, Haroutunian V, Zhang B, Beach TG, Yu G, Peng J, Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer's Disease Progression. Neuron, 105(6):975-991.e7(2020) [pubmed] |
Keyword List
| submitter keyword: AD mouse model, brain, TMT-LC/LC-MS/MS |
Contact List
| Junmin Peng | |
|---|---|
| contact affiliation | St. Jude Children’s Research Hospital |
| contact email | Junmin.Peng@stjude.org |
| lab head | |
| Yuxin Li | |
| contact affiliation | St. Jude Children's Research Hospital |
| contact email | yuxin.li@stjude.org |
| dataset submitter | |
Full Dataset Link List
| Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2020/04/PXD018590 |
| PRIDE project URI |
Repository Record List
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