PXD056329 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Identification of Estrogen-Responsive Proteins in the Mouse Seminal Vesicle by Mass Spectrometry-Based Proteomics |
Description | Although estrogenic compounds promise therapeutic potential in treating various conditions, concerns regarding their endocrine-disrupting effects have been raised Current methodologies for screening estrogenicity in rodent models are limited to the female-specific uterotrophic bioassay. Studies have reported enlargement of seminal vesicles in orchiectomized males treated with estrogens. However, identifying estrogenicity strictly through changes in wet weights is uninformative regarding the molecular mechanisms of these agents. Therefore, protein-based biomarkers can complement and improve the sensitivity of the weight-based assessments. To this end, we present a discovery-driven proteomic analysis on 17β-estradiol's effects on the seminal vesicles. We treated orchidectomized mice with the hormone for five days, and used the vehicle-treated group as control. Differentially expressed proteins in the seminal vesicles between the two groups were identified through label-free quantification using data-dependent nanoflow liquid chromatography–tandem mass spectrometry. We identified 668 total proteins, of which 133 were found to be regulated significantly by 17β-estradiol. Ingenuity Pathway Analysis® linked them to several hormone-affected pathways, including those associated with immune function such as neutrophil degranulation. The altered protein interaction networks were also related to functions, including endocrine disruption, abnormal metabolism, and therapeutic effects. Overall, we identified several potential biomarkers for estrogenicity in the mouse seminal vesicles including those not previously linked with exogenous 17β-estradiol exposure such as spondin-1 |
HostingRepository | PRIDE |
AnnounceDate | 2025-05-07 |
AnnouncementXML | Submission_2025-05-07_03:25:12.184.xml |
DigitalObjectIdentifier | https://dx.doi.org/10.6019/PXD056329 |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | Laszlo Prokai |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | monohydroxylated residue; deamidated residue; iodoacetamide derivatized residue |
Instrument | LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-09-27 07:39:00 | ID requested | |
⏵ 1 | 2025-05-07 03:25:13 | announced | |
Publication List
10.3390/ph17111508; |
10.6019/PXD056329; |
Kapic A, Zaman K, Nguyen V, Prokai-Tatrai K, Prokai L, Identification of Estrogen-Responsive Proteins in Mouse Seminal Vesicles Through Mass Spectrometry-Based Proteomics. Pharmaceuticals (Basel), 17(11):(2024) [pubmed] |
Keyword List
submitter keyword: 7β-estradiol |
male reproductive system |
mouse seminal vesicle |
therapeutic effects |
endocrine disruption |
proteomics |
bioinformatics |
biomarker discovery |
Contact List
Laszlo Prokai, Ph.D., D.Sc |
contact affiliation | Professor and Robert A. Welch Chair in Biochemistry Department of Pharmacology and Neuroscience University of North Texas,Health Science Center |
contact email | Laszlo.Prokai@unthsc.edu |
lab head | |
Laszlo Prokai |
contact affiliation | Department of Pharmacology & Neuroscience UNT Health Science Center Fort Worth, TX, USA |
contact email | advancedms@unthsc.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD056329
- Label: PRIDE project
- Name: Identification of Estrogen-Responsive Proteins in the Mouse Seminal Vesicle by Mass Spectrometry-Based Proteomics