Proteomics

Dataset Information

0

Multi-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children


ABSTRACT: 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)

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: xiulan lai  

LAB HEAD: Xiulan Lai

PROVIDER: PXD063022 | Pride | 2025-12-12

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Results.zip Other
XB00885B1DA_CRF_BALF.raw Raw
XB00885B1DA_CX_BALF.raw Raw
XB00885B1DA_HMX_BALF.raw Raw
XB00885B1DA_HXL_BALF.raw Raw
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