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
PubMed

Insights

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.