PXD043575

PXD043575 is an original dataset announced via ProteomeXchange.

Title	Targeted proteomic analysis of aqueous humor in idiopathic uveitis and Vogt-Koyanagi-Harada syndrome
Description	Extreme gradient boosting (XGBoost), an efficient and robust machine learning algorithm, was used to develop a model for classifying the IU, VKH, and control groups. The three proteins deemed most important were transferrin (TF), calsyntenin-1 (CLSTN1), and retinol-binding protein 4 (RBP4), which represent a promising biomarker panel. These proteins were validated by high-resolution multiple reaction monitoring (HR-MRM) in a validation cohort.
HostingRepository	iProX
AnnounceDate	2023-07-06
AnnouncementXML	Submission_2024-05-27_21:45:36.378.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Lingzi Wu
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	TripleTOF 6600

Revision	Datetime	Status	ChangeLog Entry
0	2023-07-06 00:03:37	ID requested
1	2023-07-06 00:24:42	announced
⏵ 2	2024-05-27 21:45:37	announced	2024-05-28: Update information.

Wu L, An J, Li X, Tao Q, Liu Z, Zhang K, Zhou L, Zhang X, Comprehensive Proteomic Profiling of Aqueous Humor in Idiopathic Uveitis and Vogt-Koyanagi-Harada Syndrome. ACS Omega, 9(16):18643-18653(2024) [pubmed]

submitter keyword: Idiopathic uveitis, VKH, proteomic, aqueous humor, HR-MRM

Xiaomin Zhang
contact affiliation	Tianjin Medical University Eye Hospital
contact email	xzhang08@tmu.edu.cn
lab head
Lingzi Wu
contact affiliation	Tianjin Medical University Eye Hospital
contact email	wlz_5206@tmu.edu.cn
dataset submitter

iProX dataset URI