AHP DB: a reference database of proteins in the human aqueous humor

Abstract

The aqueous humor (AH) is a low-viscosity biofluid that continuously circulates from the posterior chamber to the anterior chamber of the eye. Recent advances in high-resolution mass-spectrometry workflows have facilitated the study of proteomic content in small-volume biofluids like AH, highlighting the potential clinical implications of the AH proteome. Nevertheless, in-depth investigations into the role of AH proteins in ocular diseases have encountered challenges due to limited accessibility to these workflows, difficulties in large-scale AH sample collection and the absence of a reference AH proteomic database. In response to these obstacles, and to promote further research on the involvement of AH proteins in ocular physiology and pathology, we have developed the web-based Aqueous Humor Proteomics Database (AHP DB). The current version of AHP DB contains proteomic data from 307 human AH samples, which were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The database offers comprehensive information on 1683 proteins identified in the AH samples. Furthermore, relevant clinical data are provided for each analyzed sample. Researchers also have the option to download these datasets individually for offline use, rendering it a valuable resource for the scientific community. Database URL: https://ahp.augusta.edu/

Advances in aqueous humor proteomics for biomarker discovery and disease mechanisms exploration: a spotlight on primary open angle glaucoma

“… Protein abundance in the AH proteome based on mean PSM (peptide-to-spectrum matching) counts from AHP DB ( Lee et al, 2024 ). The AH proteome is mostly composed of 17 high abundant proteins, representing 2/3 of the whole AH proteome (left) .…”

“…Current data bases cataloging the AH proteome contain 827 to 1,888 proteins identified using MS. Prominent resources are the EyeOme project under the auspices of the human proteome organization (HUPO) ( Ahmad et al, 2018 ) and the recently released aqueous humor protein data base (AHP-DB), offering proteomic data deriving from 307 AH samples ( Lee et al, 2024 ). A meta database combining data from multiple previous studies also exists ( Yu et al, 2020 ).…”