PXD056436 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Deep proteome coverage of microglia using a streamlined data independent acquisition-based proteomic workflow: method consideration for a phenotypically diverse cell type |
Description | As the immune cells of the brain, microglia play a key role in various homeostatic and disease-related processes. In order to carry out their numerous functions, microglia are able to adopt a wide range of phenotypic states. The proteomic landscape represents a more accurate molecular representation of these phenotypes; however, microglia present unique challenges for proteomic analysis. This study implemented a streamlined liquid- and gas-phase fractionation method with data-dependent acquisition (DDA) and parallel accumulation serial fragmentation (PASEF) analysis on a TIMS-TOF instrument to compile a comprehensive protein library obtained from adult-derived, immortalized mouse microglia with minimal starting material (10µg). The empirical library consisted of 9,140 microglial proteins and was utilized to identify an average of 7,264 proteins per run from single-shot, DIA-based analysis of microglia. Additionally, a predicted library facilitated identification of 7,519 average proteins per run from the same DIA data, revealing complementary coverage compared to the empirical library and collectively increased coverage to approximately 8,000 proteins. Importantly, several immune response pathways were uniquely identified with empirical library approach. Overall, we report a simplified, reproducible approach for deep proteome coverage of microglia with low sample input and show the importance of library optimization for this phenotypically diverse cell type. |
HostingRepository | PRIDE |
AnnounceDate | 2025-03-31 |
AnnouncementXML | Submission_2025-03-31_12:31:22.405.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Stanley Stevens |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | No PTMs are included in the dataset |
Instrument | timsTOF Pro |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-10-01 19:07:18 | ID requested | |
⏵ 1 | 2025-03-31 12:31:22 | announced | |
Publication List
Keyword List
submitter keyword: DIA-PASEF, DDA library generation, deep proteomics,Microglia, DIA methods development |
Contact List
Dr. Stanley Stevens |
contact affiliation | Dept. of MBS, University of South Florida |
contact email | smstevens@usf.edu |
lab head | |
Stanley Stevens |
contact affiliation | University of South Florida |
contact email | smstevens@usf.edu |
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/2025/03/PXD056436 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD056436
- Label: PRIDE project
- Name: Deep proteome coverage of microglia using a streamlined data independent acquisition-based proteomic workflow: method consideration for a phenotypically diverse cell type