Comprehensive characterization of human aqueous humor proteomes from primary open-angle glaucoma using data-independent acquisition dataset on a TimsTOF pro mass spectrometer.

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The lack of reliable prognostic indicators necessitates the development of biomarkers that can be used to detect and monitor glaucoma early in its course. In this study, human aqueous humor databases dedicated to advanced and not advanced POAG from Chinese were compiled to facilitate research on POAG, using advanced label-free quantitative proteomics technology by a TimsTOF Pro mass spectrometer. Proteins and peptides were identified and quantified by DIA-NN bioinformatics. All mass spectrometry data were deposited in the ProteomeXchange Consortium via the PRIDE partner (https://www.ebi.ac.uk/pride) with the dataset identifier PRIDE: PXD060484.", "claims": [{"id": "claim-method", "statement": "The Mann-Whitney U test, a non-parametric method, was employed to assess differences between two independent groups. 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