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Proteome data of serum samples from patients with schizophrenia
T V Butkova1, A T Kopylov1, A A Stepanov1
1V. N. Orekhovich Research Institute of Biomedical Chemistry, Moscow, Russia.
Data in Brief
|March 11, 2020
Summary
This study explores the proteomic profiles in schizophrenia patients
Area of Science:
- Neuroscience
- Biochemistry
- Genetics
Background:
- Schizophrenia is a complex chronic brain disorder with poorly understood molecular mechanisms.
- Dysregulation of molecular and epigenetic factors plays a role in schizophrenia pathogenesis.
- Identifying specific molecular markers is crucial for understanding and potentially treating schizophrenia.
Purpose of the Study:
- To investigate the proteomic differences in serum samples between individuals with schizophrenia and healthy controls.
- To contribute to the accumulation and systematization of "OMICS" data for schizophrenia research.
- To advance the understanding of molecular determinants in schizophrenia development.
Main Methods:
- Utilized shotgun ultra-high resolution mass spectrometry for proteomic analysis.
- Analyzed serum samples from patients diagnosed with schizophrenia (SCZ series).
- Compared proteomic data with serum samples from healthy volunteers (CNT series).
Main Results:
- Generated comprehensive proteomic datasets for schizophrenia patients and healthy controls.
- Established a foundation for identifying serological protein markers associated with schizophrenia.
- Highlighted the importance of mass spectrometry in detecting biological molecules for biomedical research.
Conclusions:
- The study provides valuable proteomic datasets for further research into schizophrenia.
- Advances the identification of potential protein biomarkers for schizophrenia.
- Emphasizes the role of OMICS approaches in unraveling complex disease mechanisms.
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