| Autor: |
T.V. Butkova, A.T. Kopylov, A.A. Stepanov, K.A. Malsagova, G.P. Kostyuk, N.V. Zakharova, L.V. Bravve, A.A. Sinicyna, A.L. Kaysheva |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Data in Brief, Vol 29, Iss , Pp - (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3409 |
| DOI: |
10.1016/j.dib.2020.105338 |
| Popis: |
Schizophrenia is a complex chronic disease. The molecular determinants and neuropathology of schizophrenia are multifaceted; an important role in the pathogenesis is played by the dysregulation of molecular and epigenetic mechanisms. However, the molecular mechanisms of the development of the disease have not yet been studied.An important task is the accumulation and systematization of “OMICS”-knowledge of the molecular profiles (transcriptome, proteome, metabolome) of blood specific to pathology. Thereby the development and improvement of mass spectrometric methods for the detection of biological molecules has become increasingly important in biomedical research. In the field of applied problems in biomedical research, the most prevalent issue involves the identification of serological protein markers associated with the development of schizophrenia, which account for the diseases that cause the a life-shortening illness, disability, decreased of functioning and quality of life and wellbeing or health status.OMICS approaches are designed to detect genes (genomics), mRNA (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in a specific biological sample.We report the proteomic datasets on the serum samples from patients with schizophrenia (series “SCZ”) and healthy volunteers (series “CNT”). Data were acquired using shotgun ultra-high resolution mass spectrometry. Keywords: Serum, Schizophrenia, Proteomics, Tandem mass spectrometry |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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