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

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Tae Jin Lee, Arnav Goyal, Garrett Jones, Joshua Glass, Vishal Doshi, Kathryn Bollinger, Lane Ulrich, Saleh Ahmed, Sai Karthik Kodeboyina, Amy Estes, Marc Töteberg-Harms, Wenbo Zhi, Shruti Sharma, Ashok Sharma
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引用次数: 0

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/.

AHP DB:人体水液蛋白质参考数据库。
房水(AH)是一种低粘度生物液体,从眼球的后房持续循环到前房。高分辨率质谱工作流程的最新进展促进了对房水等小容量生物流体中蛋白质组含量的研究,凸显了房水蛋白质组的潜在临床意义。然而,由于这些工作流程的可及性有限、大规模 AH 样品收集困难以及缺乏 AH 蛋白质组参考数据库,深入研究 AH 蛋白质在眼部疾病中的作用遇到了挑战。为了应对这些障碍,并促进对 AH 蛋白参与眼部生理和病理的进一步研究,我们开发了基于网络的眼液蛋白质组学数据库(AHP DB)。当前版本的 AHP DB 包含 307 份人类 AH 样品的蛋白质组学数据,这些数据采用液相色谱-串联质谱法(LC-MS/MS)进行分析。该数据库提供了在 AH 样品中鉴定出的 1683 种蛋白质的全面信息。此外,还提供了每个分析样本的相关临床数据。研究人员还可以选择单独下载这些数据集,以供离线使用,使其成为科学界的宝贵资源。数据库网址:https://ahp.augusta.edu/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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