Evidence map›Paper›PMID 37726316›Full record

ArticleNature communications2023

SEPepQuant enhances the detection of possible isoform regulations in shotgun proteomics.

Yongchao Dou, Yuejia Liu, Xinpei Yi, Lindsey K Olsen, Hongwen Zhu, Qiang Gao, Hu Zhou, Bing Zhang

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Yongchao DouLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Yuejia LiuSchool of Chinese Materia Medica, Nanjing University of Chinese Medicine, 138 Xianlin Avenue, 210023, Nanjing, Jiangsu, China.
Xinpei YiLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Lindsey K OlsenLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Hongwen ZhuDepartment of Analytical Chemistry, State Key Laboratory of Drug Research and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.
Qiang GaoDepartment of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, 180 Fenglin Road, 200032, Shanghai, China.
Hu ZhouSchool of Chinese Materia Medica, Nanjing University of Chinese Medicine, 138 Xianlin Avenue, 210023, Nanjing, Jiangsu, China.ORCID http://orcid.org/0000-0001-7006-4737
Bing ZhangLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA. bing.zhang@bcm.edu.ORCID http://orcid.org/0000-0001-8676-2425
Baylor College of Medicine · USNanjing University of Chinese Medicine · CNChinese Academy of Sciences · CNFudan University · CN

Funding

Translating Pediatric Cancer Proteogenomic Data into Biological and Clinical InsightsU24CA271076 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Bing Zhang · 2022 to 2026
$5.0M
iPGDAC, An Integrative Proteogenomic Data Analysis Center for CPTACU24CA210954 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ZHANG, BING · 2016 to 2020
$4.9M
Proteogenomics-driven therapeutic discovery in hepatocellular carcinomaR01CA245903 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ZHANG, BING · 2020 to 2024
$1.0M
NCI NIH HHS R01 CA245903NCI NIH HHS U24 CA210954NCI NIH HHS U24 CA271076
6 · The paper itself

Abstract

Shotgun proteomics is essential for protein identification and quantification in biomedical research, but protein isoform characterization is challenging due to the extensive number of peptides shared across proteins, hindering our understanding of protein isoform regulation and their roles in normal and disease biology. We systematically assess the challenge and opportunities of shotgun proteomics-based protein isoform characterization using in silico and experimental data, and then present SEPepQuant, a graph theory-based approach to maximize isoform characterization. Using published data from one induced pluripotent stem cell study and two human hepatocellular carcinoma studies, we demonstrate the ability of SEPepQuant in addressing the key limitations of existing methods, providing more comprehensive isoform-level characterization, identifying hundreds of isoform-level regulation events, and facilitating streamlined cross-study comparisons. Our analysis provides solid evidence to support a widespread role of protein isoform regulation in normal and disease processes, and SEPepQuant has broad applications to biological and translational research.

Indexed as

Biomedical ResearchCarcinoma, HepatocellularLiver NeoplasmsHumansProtein IsoformsProteomicsProtein Isoforms

Identifiers

PMID37726316
PMCPMC10509223
OpenAlexW4386845246

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.