⮝ Full datasets listing
PXD025316-1
PXD025316 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | DISCO-MS: Proteomics of spatially identified tissues in whole organs |
| Description | Spatial molecular profiling of complex tissues is essential to investigate cellular function in physiological and pathological states. Liquid chromatography coupled to mass spectrometry (LC-MS) is emerging as a key technology for the unbiased characterization of proteins, the drivers of cellular function. Furthermore, recent advances in imaging, transcriptomics and proteomics allowed the analysis of spatially resolved RNA- and protein-profiles from thin tissue sections. However, so far, no method has allowed the unbiased mass spectrometry (MS)-based proteomics analysis of target tissues identified by unbiased imaging of whole organs in 3D. Here, we present DISCO-MS, a technology combining solvent-based tissue clearing, whole-organ imaging by light-sheet microscopy, automated image analysis powered by deep learning, and ultra-high sensitivity mass spectrometry. DISCO-MS yields qualitative and quantitative proteomics data indistinguishable from uncleared samples in both rodent and human tissue. DISCO-MS of the proteomes of axonal tracts with activated microglia after brain injury revealed known and novel biomarkers. We characterized individual initial amyloid beta plaques in the brains of a young familial Alzheimer's disease mouse model, determined the core proteome of these aggregates and highlighted compositional heterogeneity. DISCO-MS enables the image-guided identification of rare target tissues in intact biological systems followed by MS-based proteome analysis, providing new diagnostic and therapeutic opportunities for complex diseases including neurodegeneration. |
| HostingRepository | PRIDE |
| AnnounceDate | 2025-12-05 |
| AnnouncementXML | Submission_2025-12-04_21:25:45.506.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Mario Oroshi |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606; scientific name: Mus musculus (Mouse); NCBI TaxID: NEWT:10090; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | time-of-flight; Q Exactive |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2021-04-12 07:49:31 | ID requested | |
| ⏵ 1 | 2025-12-04 21:25:46 | announced |
Publication List
| Bhatia HS, Brunner AD, Ö, zt, ü, rk F, Kapoor S, Rong Z, Mai H, Thielert M, Ali M, Al-Maskari R, Paetzold JC, Kofler F, Todorov MI, Molbay M, Kolabas ZI, Negwer M, Hoeher L, Steinke H, Dima A, Gupta B, Kaltenecker D, Caliskan Ö S, Brandt D, Krahmer N, M, ü, ller S, Lichtenthaler SF, Hellal F, Bechmann I, Menze B, Theis F, Mann M, Ert, ü, rk A, Spatial proteomics in three-dimensional intact specimens. Cell, 185(26):5040-5058.e19(2022) [pubmed] |
| 10.1016/j.cell.2022.11.021; |
Keyword List
| submitter keyword: Ultra-high sensitivity proteomics |
| Proteomics |
| Tissue-clearing |
| Solvent-clearing |
| Familial Alzheimer’s disease |
| mild traumatic brain injury |
| Imaging |
| Spatial proteomics |
Contact List
| Matthias Mann | |
|---|---|
| contact affiliation | Department of Proteomics and Signal Transduction Max Planck Institute of Biochemistry Germany |
| contact email | mmann@biochem.mpg.de |
| lab head | |
| Mario Oroshi | |
| contact affiliation | Proteomics |
| contact email | oroshi@biochem.mpg.de |
| dataset submitter | |
Full Dataset Link List
| Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2025/11/PXD025316 |
| PRIDE project URI |
Repository Record List
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