PXD071661 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Multi-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children |
| Description | Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children, yet the mechanisms driving its progression to severe disease remain poorly understood. This study employs a comprehensive proteomic and metabolomic approach to elucidate severity-related pathways and identify potential biomarkers for improved diagnosis and targeted therapy. By analyzing blood proteomes from 57 pediatric patients with varying MPP severities alongside 10 healthy controls, and integrating multi-omics data from bronchoalveolar lavage fluid (BALF) |
| HostingRepository | PRIDE |
| AnnounceDate | 2025-12-12 |
| AnnouncementXML | Submission_2025-12-12_02:50:18.643.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | xiulan lai |
| SpeciesList | scientific name: Mycoplasma pneumoniae (strain ATCC 29342 / M129); NCBI TaxID: NEWT:272634; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Orbitrap Exploris 480 |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2025-12-05 18:08:33 | ID requested | |
| ⏵ 1 | 2025-12-12 02:50:19 | announced | |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: Machine Learning, Pediatrics infection,Mycoplasma Pneumoniae, Multi-Omics, Severity Signatures |
Contact List
| Xiulan Lai |
| contact affiliation | Huazhong University of Science and Technology Union Shenzhen Hospital |
| contact email | xiulanlai02@163.com |
| lab head | |
| xiulan lai |
| contact affiliation | Pediatrics Department, Huazhong University of Science and Technology Union Shenzhen Hospital |
| contact email | xiulanlai02@163.com |
| 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/2025/12/PXD071661 |
| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD071661
- Label: PRIDE project
- Name: Multi-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children