PXD042212

PXD042212 is an original dataset announced via ProteomeXchange.

Title	Unraveling Potential Biomarkers for Acute and Chronic Brucellosis Through Proteomic and Bioinformatic Approaches
Description	This study aimed to identify potential biomarkers associated with acute and chronic brucellosis by employing advanced proteomic and bioinformatic methodologies. Blood samples from individuals with acute and chronic brucellosis and healthy controls were analyzed. Differentially expressed proteins (DEPs) were identified using differential expression analysis and weighted gene co-expression network analysis (WGCNA). A total of 25 DEPs were identified in all three pairwise comparisons, and 20 hub proteins were identified in the WGCNA analysis. Nine proteins overlapped between the two analyses, highlighting their potential importance in brucellosis. A random forest model based on these nine proteins demonstrated good classification performance for the three groups. Enrichment analysis revealed that these proteins are involved in various biological processes, including inflammation, coagulation, extracellular matrix regulation, and immune response. The results offer valuable insights into potential therapeutic targets or diagnostic biomarkers for brucellosis.
HostingRepository	iProX
AnnounceDate	2023-05-12
AnnouncementXML	Submission_2023-08-14_00:27:29.184.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Yuejie Yang
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF-X

Revision	Datetime	Status	ChangeLog Entry
0	2023-05-14 20:21:57	ID requested
1	2023-05-14 20:27:21	announced
⏵ 2	2023-08-14 00:27:30	announced	2023-08-14: Update publication information.

Yang Y, Qiao K, Yu Y, Zong Y, Liu C, Li Y, Unravelling potential biomarkers for acute and chronic brucellosis through proteomic and bioinformatic approaches. Front Cell Infect Microbiol, 13():1216176(2023) [pubmed]

submitter keyword: brucellosis, biomarkers, proteomics, bioinformatics, differential expression analysis, weighted gene co-expression network analysis (WGCNA), random forest model, enrichment analysis

Ying Li
contact affiliation	Tianjin Second People's Hospital
contact email	liying9886@126.com
lab head
Yuejie Yang
contact affiliation	Tianjin Second People's Hospital
contact email	765833720@qq.com
dataset submitter

iProX dataset URI