⮝ Full datasets listing
PXD072410-1
PXD072410 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Integrated LiP-MS and 4D proteomics define a coordinated protein conformation–expression atlas in hepatocellular carcinoma |
| Description | Hepatocellular carcinoma (HCC) exhibits pronounced spatial heterogeneity, yet its underlying molecular mechanisms remain incompletely understood. Conventional proteomic approaches primarily focus on abundance changes, offering limited insights into protein conformational regulation. In this study, we constructed a multi-region protein conformation-expression atlas of HCC by integrating limited proteolysis mass spectrometry with 4D label-free quantitative proteomics across tumor, peritumor-near, and peritumor-far tissues. Our analysis revealed widespread remodeling of protein conformation and expression across tissue regions. We identified conformation-specific altered proteins (CSAPs) that exhibited structural changes independent of abundance, highlighting an underappreciated regulatory layer in HCC. Additionally, conformation–expression coupled proteins (CECPs) were defined as proteins showing coordinated alterations in both conformation and expression. CECPs displayed two distinct spatial patterns—spatially conserved and region-specific—reflecting both common and localized functional adaptations. Directional concordance analysis revealed that structural and abundance changes were highly aligned, suggesting that conformational remodeling may contribute to or reflect expression regulation. Functional enrichment indicated that CECPs were predominantly involved in metabolic and redox-related pathways, RNA processing, and signal transduction. Among the top 30 hub CECPs identified by protein-protein interaction network analysis, ACLY, ALDH18A1, GMPS, and DHX9 exhibited consistent increases in conformation, protein abundance, and mRNA expression, with altered regions localized to catalytic or regulatory domains. Their elevated levels correlated with poorer prognosis, highlighting their potential functional relevance in HCC progression. Overall, our findings highlight conformational remodeling as a significant regulatory layer. This atlas provides a framework for understanding protein-level regulation in HCC and may guide the identification of conformation-sensitive biomarkers and therapeutic targets. |
| HostingRepository | iProX |
| AnnounceDate | 2025-12-24 |
| AnnouncementXML | Submission_2026-07-10_01:19:03.966.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Zhendong Chen |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | timsTOF Pro; Q Exactive HF-X |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-12-24 18:08:15 | ID requested | |
| ⏵ 1 | 2026-07-10 01:19:04 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: Hepatocellular carcinoma, Limited proteolysis mass spectrometry, 4D label-free proteomics, Conformational remodeling, Proteomics |
Contact List
| Dandan Xiong | |
|---|---|
| contact affiliation | the First Affiliated Hospital of Guangxi Medical University |
| contact email | xiongdandan@gxmu.edu.cn |
| lab head | |
| Zhendong Chen | |
| contact affiliation | the First Affiliated Hospital of Guangxi Medical University |
| contact email | chenzhendong_7315@163.com |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |




