Background: The Senegalese sole, Solea senegalensis, is a highly prized flatfish of growing commercial interest for aquaculture in Southern Europe. However, despite the industrial production of Senegalese sole being hampered primarily by lack of information on the physiological mechanisms involved in reproduction, growth and immunity, very limited genomic information is available on this species.

We live in a time of pressing planetary challenges, many of which threaten catastrophic change to the natural environment and require massive and novel coordinated scientific and societal efforts on an unprecedented scale. Universities and other academic institutions have the opportunity and responsibility to assume a leading role in an era when the destiny of the planet is precisely in the hands of human beings. Drawing on the Planetary Health project promoted by the Rockefeller Foundation and The Lancet, Pompeu Fabra University launched in 2018 the Planetary Wellbeing Initiative, a long-term institutional strategy also animated by the United Nations Sustainable Development Goals (SDGs). Planetary Wellbeing might be defined as the highest attainable standard of wellbeing for human and non-human beings and their social and natural systems. Developing the potential of these new concepts involves a substantial theoretical and empirical effort in many different fields, all of them interrelated by the crosscutting challenges of global complexity, interdisciplinarity, and urgency. Close collaboration of science, humanities, and culture is more desperately needed now than ever before in the history of humankind.

BackgroundMicroarrays strategies, which allow for the characterization of thousands of alternative splice forms in a single test, can be applied to identify differential alternative splicing events. In this study, a novel splice array approach was developed, including the design of a high-density oligonucleotide array, a labeling procedure, and an algorithm to identify splice events.ResultsThe array consisted of exon probes and thermodynamically balanced junction probes. Suboptimal probes were tagged and considered in the final analysis. An unbiased labeling protocol was developed using random primers. The algorithm used to distinguish changes in expression from changes in splicing was calibrated using internal non-spliced control sequences. The performance of this splice array was validated with artificial constructs for CDC6, VEGF, and PCBP4 isoforms. The platform was then applied to the analysis of differential splice forms in lung cancer samples compared to matched normal lung tissue. Overexpression of splice isoforms was identified for genes encoding CEACAM1, FHL-1, MLPH, and SUSD2. None of these splicing isoforms had been previously associated with lung cancer.ConclusionsThis methodology enables the detection of alternative splicing events in complex biological samples, providing a powerful tool to identify novel diagnostic and prognostic biomarkers for cancer and other pathologies.