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Evening and morning alterations in Obstructive Sleep Apnea red blood cell proteome
Publication . Feliciano, Amélia; Vaz, Fátima; Valentim-Coelho, Cristina; Torres, Vukosava M.; Silva, Rita; Prosinecki, Vesna; Alexandre, Bruno M.; Almeida, Andreia; Almeida-Marques, Catarina; Carvalho, Ana S.; Matthiesen, Rune; Matthiesen, Rune; Malhotra, Atul; Pinto, Paula; Bárbara, Cristina; Penque, Deborah; Centre for Toxicogenomics and Human Health (ToxOmics); NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM); Elsevier BV
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.
Predictable phenotypic, but not karyotypic, evolution of populations with contrasting initial history
Publication . Simões, Pedro; Fragata, Inês; Seabra, Sofia G.; Faria, Gonçalo S.; Santos, Marta A.; Rose, Michael R.; Santos, Mauro; Matos, Margarida; Centro de Estudos de Doenças Crónicas (CEDOC); NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM); Nature Publishing Group
The relative impact of selection, chance and history will determine the predictability of evolution. There is a lack of empirical research on this subject, particularly in sexual organisms. Here we use experimental evolution to test the predictability of evolution. We analyse the real-Time evolution of Drosophila subobscura populations derived from contrasting European latitudes placed in a novel laboratory environment. Each natural population was sampled twice within a three-year interval. We study evolutionary responses at both phenotypic (life-history, morphological and physiological traits) and karyotypic levels for around 30 generations of laboratory culture. Our results show (1) repeatable historical effects between years in the initial state, at both phenotypic and karyotypic levels; (2) predictable phenotypic evolution with general convergence except for body size; and (3) unpredictable karyotypic evolution. We conclude that the predictability of evolution is contingent on the trait and level of organization, highlighting the importance of studying multiple biological levels with respect to evolutionary patterns.
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Fundação para a Ciência e a Tecnologia
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5876
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147362