Evidence map›Paper›PMID 38284936›Full record

ArticleDatabase : the journal of biological databases and curation2024

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

Tae Jin Lee, Arnav Goyal, Garrett Jones, Joshua Glass, Vishal Doshi, Kathryn Bollinger, Lane Ulrich, Saleh Ahmed, Sai Karthik Kodeboyina, Amy Estes and 4 more

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Tae Jin LeeCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Arnav GoyalCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Garrett JonesCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Joshua GlassCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Vishal DoshiCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Kathryn BollingerDepartment of Ophthalmology, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Lane UlrichDepartment of Ophthalmology, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Saleh AhmedCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Sai Karthik KodeboyinaCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Amy EstesDepartment of Ophthalmology, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Marc Töteberg-HarmsDepartment of Ophthalmology, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Wenbo ZhiCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Shruti SharmaCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Ashok SharmaCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120 15th Street, Augusta, GA 30912, USA.
Augusta University · US

Funding

Module 3: Gene Expression/ProteomicsP30EY031631 · NEI · AUGUSTA UNIVERSITY · PI Xingjun Fan · 2020 to 2026
$3.6M
Proteomic Biomarkers for Glaucomatous Optic NeuropathyR01EY029728 · NEI · AUGUSTA UNIVERSITY · PI SHARMA, ASHOK · 2019 to 2022
$1.5M
NEI NIH HHS P30 EY031631NEI NIH HHS R01 EY029728
6 · The paper itself

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/.

Indexed as

Aqueous HumorProteomicsChromatography, LiquidHumansProteomeTandem Mass SpectrometryProteome

Identifiers

PMID38284936
PMCPMC10878049
OpenAlexW4391315258

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.