Protein dataset of immortalized keratinocyte HaCaT cells and normal human keratinocytes.

Learning of the molecular mechanisms of the pathological processes development in the normal human keratinocytes (NHK) are difficult. Immortalized keratinocytes HaCaT are often used as an analogue of NHK since they have a number of advantages over the latter - they do not require the presence of growth and differentiation factors in the medium, have unlimited potential for proliferation, demonstrate stable phenotype regardless of the number of passages [1]. Taking into account the properties and characteristics of the HaCaT line, these cells can be considered as a promising experimental model for research of various physiological processes occurring in human keratinocytes. However, to understand the limitations of such an experimental model, a detailed comparative characterization of HaCaT and NHK is required, which can be obtained by carrying out its proteomic analysis. In this article we present datasets obtained through the high-throughput shotgun proteomics analysis of normal human keratinocytes and immortalized HaCaT keratinocytes. As a protocol for proteomic profiling of cells, we used the approach of obtaining LC-MS / MS measurements followed by their processing with Progenesis LC-MS software (Nonlinear Dynamics Ltd.). The mzML files were deposited to the Mendeley Data.

Proteome data of serum samples from patients with schizophrenia.

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.