This article presents proteomics data referenced in [1] Using proteomics-based evaluation of red blood cells (RBCs), we have identified differentially abundant
proteins associated with
Obstructive Sleep Apnea Syndrome (OSA). RBCs were collected from peripheral blood of patients with moderate/severe OSA or
snoring at pre- (evening) and post-night (morning) polysomnography, so that
proteome variations between these time points could be assessed. RBC cytoplasmic fraction depleted of
hemoglobin, using Hemovoid™ system, were analyzed by two-dimensional fluorescence difference gel electrophoresis (2D-DIGE), the 2D image software-based analyzed and relevant differentially abundant
proteins identified by mass spectrometry (MS). MS identified 31
protein spots differentially abundant corresponding to 21 unique
proteins possibly due to the existence of post-translational modification regulations. Functional analysis by bioinformatics tools indicated that most
proteins are associated with catalytic,
oxidoreductase,
peroxidase,
hydrolase,
ATPase and
anti-oxidant activity. At morning a larger numbers of differential
proteins including response to chemical stimulus, oxidation reduction, regulation of catalytic activity and response to stress were observed in OSA. The data might support further research in OSA
biomarker discovery and validation.