Our laboratory is interested in understanding the aberrant molecular changes underlying cognitive deficits in physiological and pathological brain ageing, with particular interest in Alzheimer’s disease. We hypothesise that the interaction between the environment and genetics favours long-lasting cell-type molecular changes in the brain, which will impact cognitive function with time. Thus, our laboratory is interested in studying the contribution of cell-type neuro-epigenetics to cognitive function in the ageing brain.

Group dedicated to the research of marine megafauna: mammals, turtles and seabirds, elasmobranchs, and large pelagic fish. We conduct both basic and applied research for species management with conservation purposes across a wide range of fields such as population biology and distribution, trophic ecology and behavior, bioacoustics, and biologging. We provide regional, national, and international consultancy on species conservation and anthropogenic impacts, including interactions with fisheries, acoustic pollution, and more. Group Leader: Joan Giménez (CO Málaga). Canary Islands Team Coord

The group works on obtaining and characterizing bioactive food compounds, mainly proteins and peptides, from by-products and products of the agri-food industry and studying their effect on the immune system, including their nutritional and health value. We have extensive experience in the development of enzymatic hydrolysis processes both at laboratory and pilot plant scale, we perform studies of functionality, bioavailability and bioactivity through cell culture assays and in vivo assays (animal models and clinical trials).

Our research group focuses on the intersection of scientific computing, biomedical data science, and the use of artificial intelligence to address challenges in the field of health and medicine. We are dedicated to developing and applying advanced computational methods to analyze complex biomedical data, extract relevant information, and provide innovative solutions to enhance biomedical research

Cancer doesn't kill primarily through the initial tumor; it's metastasis—the spread of cancer cells to distant organs—that's responsible for over 90% of cancer-related deaths. Yet, the complex mechanisms that drive metastasis – the factors that allow cancer cells to break away, travel, and thrive in new environments – are still not fully understood. In the Drivers and Biomarkers of Metastasis Lab, we're determined to crack the code of this complex process.

Advances in microscopy now enable the generation of complex, high-content imaging data that can be interpreted as a form of functional and phenotypic omics. However, their systematic exploitation is often limited by the lack of appropriate analytical tools. At imAIgene-lab, we develop and apply computational science approaches, including computer vision, data analysis, and multi-omics integration with single-cell technologies, to transform dynamic imaging data into quantitative biological information.

The cellular interior is not a mere Brownian soup of molecules; it is rather an exquisitely structured entity organized into hierarchical levels. Knowing how proteins assemble into different layers of organization, is thus fundamental to understanding the functioning of the cell. We recently demonstrated that proteins are a few mutations, sometimes even one mutation away, to form infinite polymers –aka supramolecular assemblies– (Garcia-Seisdedos, et al. Nature 2017, Empereur-Mot, Garcia-Seisdedos, et al Sci Data 2019, Garcia-Seisdedos, et al PNAS 2022).

Protein synthesis, also known as translation, is a fundamental process for life and an integral component of the Central Dogma of Molecular biology. It is also the most energetically demanding biosynthetic process in the cell. Consequently, the precision and synchronization of translation with both internal and external cues are imperative for cellular function. However, despite its significance, our understanding of how specific mRNA molecules are selectively translated and regulated remains limited.