⮝ Full datasets listing
PXD070018
PXD070018 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Shake and bake: a robust and cost-effective sample preparation recipe for plasma and cerebrospinal fluid |
| Description | Background Plasma and cerebrospinal fluid CSF are complementary sources of biomarkers for neurodegenerative diseases. However, the wide dynamic range of protein abundances, particularly in plasma, hinders detection of low-abundance proteins. Depletion of high-abundance proteins and efficient enzymatic digestion can improve proteome coverage but must be carefully optimized for reproducibility, throughput, and cost-efficiency in large-scale clinical studies. Results We developed a scalable sample preparation workflow for plasma and CSF that integrates high-abundance protein depletion, optimized digestion using Lys-C and trypsin, and compatibility with both label-free and TMT-based quantification. We systematically evaluated depletion efficiency, mixing speed, enzyme digestion strategy, and the use of sodium deoxycholate, monitoring the number of detectable proteins and quantitative precision. A resin to plasma ratio of more than 75 and a mixing speed of 900 rpm ensured complete and reproducible depletion. Depletion increased protein group identifications by about 80percent in plasma and 65percent in CSF, while maintaining quantitative precision median coefficient of variation CV less than 11 percent. A two-step digestion protocol using Lys-C trypsin followed by trypsin yielded the highest reproducibility. DOC marginally improved proteome coverage but reduced quantification precision and throughput. In depleted plasma, detection of brain-enriched proteins tripled compared to non-depleted plasma. Technical replicates from a 528-sample clinical ALS cohort showed high reproducibility, with intra-sample CVs substantially lower than inter-individual variation. Conclusions This depletion-based sample preparation workflow enables deep and reproducible proteome profiling of plasma and CSF in high-throughput formats and is well suited for biomarker discovery in large clinical studies. |
| HostingRepository | MassIVE |
| AnnounceDate | 2026-02-19 |
| AnnouncementXML | Submission_2026-02-19_12:09:03.839.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Johannes Fuchs |
| SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | timsTOF HT |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-10-29 02:01:04 | ID requested | |
| ⏵ 1 | 2026-02-19 12:09:04 | announced |
Publication List
| R, รถ, nnholm J, Weiner S, Fuchs J, Thorsell A, Sihlbom C, Dugom L, Easton A, Zetterberg H, Gobom J, Shake and bake: a robust and cost-effective proteomic sample preparation workflow for plasma and cerebrospinal fluid. Clin Proteomics, 23(1):(2026) [pubmed] |
Keyword List
| submitter keyword: Plasma proteomics, CSF proteomics, Protein depletion, High-throughput sample preparation, DIA, TMT, quantification, Neurodegenerative diseases, DatasetType:Proteomics |
Contact List
| Johan Gobom | |
|---|---|
| contact affiliation | Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Molndal |
| contact email | johan.gobom@neuro.gu.se |
| lab head | |
| Johannes Fuchs | |
| contact affiliation | University of Gothenburg |
| contact email | johannes.fuchs@gu.se |
| dataset submitter | |
Full Dataset Link List
| MassIVE dataset URI |
| 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://massive-ftp.ucsd.edu/v11/MSV000099682/ |




