PXD035863
PXD035863 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Schizophrenia Proteome Research |
| Description | Despite of multiple systematic studies of schizophrenia pathogenesis, reconstruction of the mechanism established on proteomics, metabolomics, and genome-wide significant loci is still a challenging task. We suggested that advanced data for quantitative proteomics, metabolomics, and genome-wide association study (GWAS) may enhance the current evidence and fundamental knowledge about molecular pathogenesis of schizophrenia. Liquide chromatography and ultra-high-resolution mass-spectrometry were utilized for proteomic and metabolomic assay, and high throughput genotyping for the GWAS study. Proteomic and metabolomic results were quantitatively evaluated and overlayed on the GWAS data. After statistical analysis using R-package, the resulting features were associated in a multilayer mode with adjusted biological processes in a reconstructed unified map of molecular events. We have identified 20 DFE proteins that were validated on an independent cohort of patients that are significant for schizophrenia, including ALS, A1AG1, PEDF, VTDB, CERU, APOB, APOH, FASN, GPX3, etc. Almost half of them are new for schizophrenia. The metabolomic survey revealed 18 compounds most of which were the part transformation of tyrosine and steroids with the incline to androgens (androsterone sulfate, thyroliberin, thyroxine, dihydrotestosterone, androstenedione, cholesterol sulfate, metanephrine, dopaquinone, etc.) which were extracted as group-specific determinants that permits to isolate patients with schizophrenia. The GWAS assay revealed 52 loci were integrated into proteome-metabolome data as significantly implicated in schizophrenia. We integrated three layers of omics science (proteomics, metabolomics and GWAS) and quantitative analysis utilized systematic approach to reconstruct the proposed map of molecular events associated with the considered psychopathology. The resulting interplay between different layers emphasized strict implication of lipids metabolism, oxidative stress, imbalance in steroidogenesis and associated impartments of thyroid hormones and sex hormones interconnection. The proposed interplay map can give opportunity in the understanding how the regulation of distinct metabolic axis is achieved and what happens in proteome arrangements to produce a schizophrenia-specific pattern of pathology condition. |
| HostingRepository | PRIDE |
| AnnounceDate | 2023-11-14 |
| AnnouncementXML | Submission_2023-11-14_07:19:29.719.xml |
| DigitalObjectIdentifier | https://dx.doi.org/10.6019/PXD035863 |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Supported dataset by repository |
| PrimarySubmitter | Arthur Kopylov |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
| ModificationList | S-pyridylethyl-L-cysteine |
| Instrument | Orbitrap Fusion |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2022-08-07 03:56:58 | ID requested | |
| 1 | 2023-02-08 09:58:37 | announced | |
| ⏵ 2 | 2023-11-14 07:19:31 | announced | 2023-11-14: Updated project metadata. |
Publication List
| Kopylov AT, Stepanov AA, Butkova TV, Malsagova KA, Zakharova NV, Kostyuk GP, Elmuratov AU, Kaysheva AL, Consolidation of metabolomic, proteomic, and GWAS data in connective model of schizophrenia. Sci Rep, 13(1):2139(2023) [pubmed] |
| 10.6019/PXD035863; |
Keyword List
| submitter keyword: schizophrenia |
| data integration |
| pathway analysis |
| quantitative analysis |
| translational metabolomics; |
Contact List
| Dr. Anna L. Kaysheva | |
|---|---|
| contact affiliation | Institute of Biomedical Chemistry, Group of Biobamking, Department of Proteomic Research; 119121 Moscow, 10 Pogodinskaya str., bld. 8, Russian Federation |
| contact email | kaysheva1@gmail.com |
| lab head | |
| Arthur Kopylov | |
| contact affiliation | Institute of Biomedical Chemistry |
| contact email | a.t.kopylov@gmail.com |
| 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/2023/02/PXD035863 |
| PRIDE project URI |
Repository Record List
[ + ]
to receive all new ProteomeXchange dataset release announcements!
