⮝ Full datasets listing
PXD075070-2
PXD075070 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Deep quantitative proteomic analysis of gingival crevicular fluid for pediatric dental caries |
| Description | Dental caries is one of the most common non-communicable diseases in the childhood. It can cause pain, discomfort as well as difficulties in eating and sleeping, even pose a significant economic burden to families and society (The Lancet 2019, 394, 249-260 and J. Dent. Res. 2022, 101, 1034-1045). Mass spectrometry (MS)-based proteomics approaches have proven to be a powerful tool to discover clinical biomakers for improving dental caries diagnosis and management. Saliva, acquired enamel pellicle (AEP), and dentin are currently main sample medium (Mass Spectrom. Rev. 2024, 43, 826-856). However, MS-based proteomics of dental caries is currently facing two major problems: (1) the analytical coverage of the dental caries proteome is relatively limited (<3000 proteins), which may hamper our understanding of the function of the key but low-abundance proteins. (2) gingival crevicular fluid (GCF) is a valuable oral fluid, but the association of GCF proteins and dental caries remains underexplored and the GCF proteome for dental caries has not yet been reported. More recently, we developed an single-pot, solid-phase-enhanced sample-preparation (SP3)-based GCF sample preparation method, which significantly improved the coverage of GCF proteome (~5500 proteins) (Anal. Chim. Acta. 2024, 1296, 342342). In this study, based on the previous work, a deep quantitative analysis of GCF proteome by SP3-based directDIA-MS method between health control group and pediatric dental caries group was performed for the first time. We generated the largest dataset of the human GCF proteome to date (6397 proteins) and proposed a new six-protein marker panel (MUC5B, DMBT1, PIP, PIGR, TIMP1 and S100A7) for pediatric dental caries (ROC-AUC 0.944). The proposed protocol and findings will be an important and complementary method and provide new insights into the diagnosis and treatment of dental caries in children. |
| HostingRepository | iProX |
| AnnounceDate | 2026-03-02 |
| AnnouncementXML | Submission_2026-05-19_00:07:20.113.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Yan Cai |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Orbitrap Fusion Lumos |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2026-03-01 18:22:34 | ID requested | |
| 1 | 2026-04-12 20:02:34 | announced | |
| ⏵ 2 | 2026-05-19 00:07:20 | announced | 2026-05-19: Add info |
Publication List
| Yang X, Zhao T, Yu P, Cai D, Liao R, Cai Y, Wang J, Deep quantitative proteomic analysis of gingival crevicular fluid for severe pediatric caries. Anal Chim Acta, 1407():345531(2026) [pubmed] |
Keyword List
| submitter keyword: Gingival crevicular fluid, Deep quantitative proteomics, Pediatric dental caries, Biomarker |
Contact List
| Rijing Liao | |
|---|---|
| contact affiliation | Shanghai Ninth People's Hospital |
| contact email | rjliao@shsmu.edu.cn |
| lab head | |
| Yan Cai | |
| contact affiliation | Shanghai Ninth People's Hospital |
| contact email | caiyan0723@shsmu.edu.cn |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |
