Evidence map›Paper›PMID 41339260›Full record

ArticleJournal of proteome research2026

ProteoformDB: A Built-In Application to Generate Proteoform Database.

Trung Hoàng, Yingwei Hu, Hui Zhang

Abstract read
In one paragraph

Article in Journal of proteome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Trung HoàngDepartment of Pathology, Oncology, Urology, and Chemical and Biomolecule Engineering, Johns Hopkins University, Baltimore, Maryland 21231, United States.ORCID 0009-0004-4068-9065
Yingwei HuDepartment of Pathology, Oncology, Urology, and Chemical and Biomolecule Engineering, Johns Hopkins University, Baltimore, Maryland 21231, United States.ORCID 0000-0002-4629-0985
Hui ZhangDepartment of Pathology, Oncology, Urology, and Chemical and Biomolecule Engineering, Johns Hopkins University, Baltimore, Maryland 21231, United States.ORCID 0000-0001-8726-7098

Funding

Proteogenomic Characterization of Tumor Tissues and Preclinical Models with High PrecisionU24CA271079 · NCI · JOHNS HOPKINS UNIVERSITY · PI DANIEL Wanyui CHAN, Hui Zhang · 2022 to 2026
$6.6M
Biomarker Reference LaboratoryU2CCA271895 · NCI · JOHNS HOPKINS UNIVERSITY · PI DANIEL Wanyui CHAN · 2023 to 2026
$4.6M
Development of a panel of multiplex biomarkers for the early detection of pancreatic ductal adenocarcinoma and high-risk lesionsU01CA274514 · NCI · JOHNS HOPKINS UNIVERSITY · PI Randall Brand, DANIEL Wanyui CHAN · 2023 to 2026
$3.2M
NCI NIH HHS U01 CA274514NCI NIH HHS U24 CA271079NCI NIH HHS U2C CA271895
6 · The paper itself

Abstract

Proteins play essential functions through their complex regulations on cell-type-specific expression, localization, and molecular complexes. Protein complexity is further enhanced by proteoforms, which are the diverse molecular forms that each gene can produce through genomic alterations, transcriptional variations, translational regulations, and protein modifications. Profiling of proteoforms is a promising method for gaining a deeper understanding of the role of proteins in biological pathways and disease mechanisms. Here, we developed ProteoformDB, an application tool for generating proteoform databases, and we cataloged a total of over one million unique single-site human proteoforms. We showed that ProteoformDB can serve as a valuable resource to document the experimentally identified proteoforms in a database, supporting protein characterization in quantitative proteomics for both total protein abundances and modified protein forms.

Indexed as

Databases, ProteinProteomeProteomicsHumansProtein IsoformsProtein Processing, Post-TranslationalSoftwareProtein IsoformsProteomecombinatorial PTMsjoint quantificationmass spectrometry-based proteomicsMS database search strategiesmultisite proteoformsproteoform annotationproteoform biologyproteoform characterizationproteoformDBquantitative proteomics

Identifiers

PMID41339260
PMCPMC13552793

What OpenQuestion holds

Textmetadata
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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.