⮝ Full datasets listing
PXD076766-1
PXD076766 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Ultra-fast and deep spatial proteomic technology enables topographic mapping of human brain tumors |
| Description | Spatial proteomics is essential for resolving molecular heterogeneity and tissue microenvironment, yet it remains constrained by trade‑offs among spatial resolution, analytical throughput, and proteome depth. Here we present SMID‑MOSF, an ultra‑trace and rapid sample preparation strategy based on macroporous ordered siliceous foams-assisted single‑pot, miniaturized in‑solution digestion. Coupled with laser capture microdissection-based in situ sampling, SMID-MOSF enables high‑resolution, deep spatial proteomic profiling within a streamlined workflow. SMID‑MOSF identified over 3700 protein groups from single HEK 293T cells and more than 3000 protein groups from 50-μm mouse brain tissue voxels. The method reduces digestion time to 10 minutes, is compatible with high-resolution grid-based sampling formats, and completes within 1.5 hours, enabling scalable spatial analyses. Applied to human oligodendroglioma and brain metastasis tissues, SMID‑MOSF quantified over 4100 protein groups at 50-μm spatial resolution, delineating histopathological regions and mapping tumor heterogeneity. Integration with flow cytometry-derived immune cell proteomic references and spatial deconvolution further revealed distinct immune microenvironmental features between the two tumor types. Together, SMID‑MOSF provides a scalable framework for whole‑tissue spatial proteomics and broadens access to high‑depth in situ proteome analysis. |
| HostingRepository | iProX |
| AnnounceDate | 2026-04-08 |
| AnnouncementXML | Submission_2026-04-08_20:24:23.225.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Yating Wang |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; scientific name: Mus musculus; NCBI TaxID: 10090; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | timsTOF Ultra; timsTOF Pro; Orbitrap Astral |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2026-04-08 20:23:30 | ID requested | |
| ⏵ 1 | 2026-04-08 20:24:23 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: spatial proteomics, SMID-MOSF, rapid sample preparation, brain tumor, microenvironment |
Contact List
| Xiaohui Liu | |
|---|---|
| contact affiliation | Institute of Translational Medicine, Shanghai Jiao Tong University |
| contact email | liuxiaohuijd@sjtu.edu.cn |
| lab head | |
| Yating Wang | |
| contact affiliation | School of Chemistry and Molecular Engineering, East China Normal University |
| contact email | 52274300022@stu.ecnu.edu.cn |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |
