AHP DB: a reference database of proteins in the human aqueous humor.
Journal
Database : the journal of biological databases and curation
ISSN: 1758-0463
Titre abrégé: Database (Oxford)
Pays: England
ID NLM: 101517697
Informations de publication
Date de publication:
29 Jan 2024
29 Jan 2024
Historique:
received:
25
09
2023
revised:
20
12
2023
accepted:
05
01
2024
medline:
29
1
2024
pubmed:
29
1
2024
entrez:
29
1
2024
Statut:
ppublish
Résumé
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/.
Identifiants
pubmed: 38284936
pii: 7591174
doi: 10.1093/database/baae001
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIH/NEI
ID : P30-EY031631 R01-EY029728
Organisme : NIH/NEI
ID : P30-EY031631 R01-EY029728
Informations de copyright
© The Author(s) 2024. Published by Oxford University Press.