PXD025162
PXD025162 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | In-depth site-specific O-glycosylation analysis of glycoproteins and endogenous peptides in cerebrospinal fluid (CSF) from healthy individual mild cognitive impairment (MCI) and Alzheimer disease (AD) patients |
Description | Site-specific O-glycoproteome mapping in complex biological system provides molecular basis for understanding the structure-function relationships of glycoproteins and their roles in physiological and pathological processes. Previous O-glycoproteome analysis in cerebrospinal fluid (CSF) focused on sialylated glycoforms, and many CSF glycoproteins have not been characterized comprehensively with respect to their O-glycosylation. In order to provide an unbiased O-glycosylation profiling, we have developed an integrated strategy combining universal boronic acid enrichment, high-pH fractionation, and electron-transfer and higher-energy collision dissociation (EThcD) for improved intact O-glycopeptide analysis. This strategy was applied to analyze O-glycoproteome in CSF, leading to identifications of 308 O-glycopeptides from 110 O-glycoproteins, covering both sialylated and non-sialylated glycoforms. To our knowledge, this is the largest number of O-glycoproteins and O-glycosites reported for CSF so far, including 154 novel O-glycosites. Due to a lack of peptidomics workflow that could incorporate glycosylation analysis, the glycosylation state of CSF endogenous peptides has not been comprehensively studied. Here, we developed a peptidomics workflow that utilizes the EThcD fragmentation and a three-step database searching strategy, allowing both N-glycosylation and O-glycosylation, as well as other common peptide PTMs, to be analyzed at the same time. Interestingly, among the 1492 endogenous peptides identified, 95 of them were O-glycosylated and only 1 N-glycosylated peptide was found, indicating CSF endogenous peptides were preferentially O-glycosylated. By referring to human neuropeptide database, 15 of them were actually O-glycosylated neuropeptides deriving from ProSAAS and secretogranin-1. O-glycoproteome and endogenous peptidome PTMs analysis were also conducted in MCI and AD patients to give a landscape picture of glycosylation in these disease states. The results showed that a decreased fucosylation trend was found in MCI and AD, suggesting its potential relation to the progression of AD. |
HostingRepository | MassIVE |
AnnounceDate | 2024-03-22 |
AnnouncementXML | Submission_2024-03-22_09:12:59.267.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Lingjun Li Lab |
SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
ModificationList | unknown modification |
Instrument | Orbitrap Fusion Lumos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2021-04-05 19:27:20 | ID requested | |
⏵ 1 | 2024-03-22 09:13:00 | announced |
Publication List
Chen Z, Wang D, Yu Q, Johnson J, Shipman R, Zhong X, Huang J, Yu Q, Zetterberg H, Asthana S, Carlsson C, Okonkwo O, Li L, In-Depth Site-Specific O-Glycosylation Analysis of Glycoproteins and Endogenous Peptides in Cerebrospinal Fluid (CSF) from Healthy Individuals, Mild Cognitive Impairment (MCI), and Alzheimer's Disease (AD) Patients. ACS Chem Biol, 17(11):3059-3068(2022) [pubmed] |
Keyword List
submitter keyword: CSF, Alzheimer's disease, O-glycosylation |
Contact List
Lingjun Li | |
---|---|
contact affiliation | University of Wisconsin-Madison |
contact email | lingjun.li@wisc.edu |
lab head | |
Lingjun Li Lab | |
contact affiliation | University of Wisconsin Madison |
contact email | lli@pharmacy.wisc.edu |
dataset submitter |
Full Dataset Link List
MassIVE dataset URI |
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://massive.ucsd.edu/v03/MSV000087160/ |