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PXD077155

PXD077155 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA Two-Dimensional Peptide-Centric Stability Assay for Mapping Multidimensional Target Landscapes Reveals 17β-Estradiol (E2)-GPX4 engagement Associated with Ferroptosis
DescriptionCurrent methods for mapping ligand-protein interactions face challenges in resolving weak yet critical binding events and capturing conformational dynamics, particularly for pleiotropic endogenous hormones such as 17β-estradiol (E2). In this study, we developed a peptide-centric, dose-resolved strategy, termed two-dimensional (2D) peptide-centric local stability assay (PELSA). By integrating peptide-level statistical confidence with dose-response modeling, 2D-PELSA enables highly reliable target identification and the direct estimation of local binding affinities in native cellular environments. In particular, the incorporation of dose-dependent information transforms static proteolysis signatures into quantitative readouts of local structural remodeling, thereby enabling enhanced resolution in capturing subtle structural alterations across proteins, including direct engagement, allosteric regulation, complex regulation, etc. We then demonstrated the versatility of 2D-PELSA by investigating the interactions of 17β-estradiol (E2), a predominant sex hormone that exerts diverse biological functions in both health and disease. Using this approach, we identified 1288 conformotypic E2-responsive peptides and 24 candidate targets with micromolar EC50 values (1-20 M) in BT474 breast cancer cell lysates, which were enriched in the processes of unsaturated and long-chain fatty acid metabolism. Among these, GPX4, a key regulator of ferroptosis, was identified as an E2-engaged protein with an estimated EC50 value of 2.4 M and was downregulated upon micromolar E2 treatment. This interaction was further validated using multiple orthogonal methods based on western blotting and mass spectrometry in both living cells and cell lysates. Integrated proteomic and lipidomic analyses show that chronic micromolar E2 exposure induces extensive lipid metabolic reprogramming and promotes ferroptosis-associated processes, accompanied by increased lipid peroxidation. Consistently, phenotypic analyses showed that micromolar E2 treatment indeed promotes oxidative, iron-dependent cell death. However, this effect was only partially rescued by the ferroptosis inhibitor ferrostatin-1 (Fer-1) and the iron chelator deferoxamine (DFO), indicating the involvement of additional cell death pathways and supporting a multi-target mode of action. Collectively, these findings establish 2D-PELSA as a versatile platform for dissecting ligand-induced structural responses and offer a systems-level perspective on E2 target engagement in complex biological contexts.
HostingRepositoryjPOST
AnnounceDate2026-08-27
AnnouncementXMLSubmission_2026-08-26_20:11:28.344.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterYanan Li
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListS-carboxamidomethyl-L-cysteine; alpha-amino acetylated residue; L-methionine sulfoxide
InstrumentOrbitrap Exploris 480; Q Exactive HF; Orbitrap Astral
Dataset History
RevisionDatetimeStatusChangeLog Entry
02026-04-14 16:58:39ID requested
12026-08-26 20:11:28announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: 2D-PELSA, target identification, 17β-estradiol, GPX4, ferroptosis, proteome
Contact List
Mingliang Ye
lab head
Yanan Li
contact affiliationDalian Institute of Chemical Physics
dataset submitter
Full Dataset Link List
jPOST dataset URI
Dataset FTP location
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