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PXD045960

PXD045960 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomic analysis of serum extracellular vesicles from biliary tract infection patients to identify novel biomarkers
DescriptionBiliary tract infection (BTI) is a common abdominal disease and without proper management can even lead to bacteremia and further death. Although studies have focused on the initiation and mechanisms of this disease, diagnostic biomarkers for BTI are still lacking. Extracellular vesicles (EVs) are a kind of biological noano-particles that released from multiple types of cells reflected different physiological or pathological conditions. In the past decades, the development of EV-based diagnostic methods for many diseases is emerging. However, the utilization of EV-directed approaches for BTI diagnosis has not been well-investigated. To explore effective protein biomarkers for patients with BTI, we applied a label-free quantitative proteomic method, which is unbiased and high through-put, on the EVs from serum of control healthy donors or patients with BTI in this study. After analyzing the results, 62 novel proteins were unique in the BTI samples from the healthy controls. Moreover, 192 differentially expressed proteins were identified in EVs from patients with BTI when compared with those from healthy controls. To gain an overview on the functions of these proteins and the biological processes/pathways that the proteins are involved in, we performed GO and KEGG analysis by using this set of proteins an input. Importantly, some key pathways involved in fat acid processing were enriched as key pathways. Here we first idenfified biomarkers, Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) and Crumbs homolog 3 (CRB3) presented significant different between BTI patients and healthy individuals. Clinical validation from plasma derived EVs samples that demonstrated its specificity to BTI. Our work applied an unbiased proteomic tool to identify CEACAM1 and CRB3 protein biomarkers in serum EVs may facilitate the development of diagnostic systems to identify patients with BTI.
HostingRepositoryiProX
AnnounceDate2023-10-07
AnnouncementXMLSubmission_2024-03-11_01:23:01.156.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChih-Jung Chang
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-10-07 20:14:31ID requested
12023-10-07 20:14:51announced
22024-03-11 01:23:02announced2024-03-11: Update information.
Publication List
Chang CJ, Huang YN, Lu YB, Zhang Y, Wu PH, Huang JS, Yang W, Chiang TY, Hsieh HS, Chung WH, Weng YC, Proteomic analysis of serum extracellular vesicles from biliary tract infection patients to identify novel biomarkers. Sci Rep, 14(1):5707(2024) [pubmed]
Keyword List
submitter keyword: Proteomics, Extracellular vesicles, Biliary tract infection, CEACAM1,CRB3
Contact List
Chih-Jung Chang
contact affiliationXiamen Chang Gung Hospital
contact emailchan.chih.jung@gmail.com
lab head
Chih-Jung Chang
contact affiliationXiamen Chang Gung Hospital
contact emailchan.chih.jung@gmail.com
dataset submitter
Full Dataset Link List
iProX dataset URI