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PXD071661-1

PXD071661 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMulti-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children
DescriptionMycoplasma 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)
HostingRepositoryPRIDE
AnnounceDate2025-12-12
AnnouncementXMLSubmission_2025-12-12_02:50:18.643.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterxiulan lai
SpeciesList scientific name: Mycoplasma pneumoniae (strain ATCC 29342 / M129); NCBI TaxID: NEWT:272634;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-12-05 18:08:33ID requested
12025-12-12 02:50:19announced
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 affiliationHuazhong University of Science and Technology Union Shenzhen Hospital
contact emailxiulanlai02@163.com
lab head
xiulan lai
contact affiliationPediatrics Department, Huazhong University of Science and Technology Union Shenzhen Hospital
contact emailxiulanlai02@163.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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