The lab is interested in understanding functional aspects of gene expression at the genome-wide level, across different organisms and in relation to pathological processes. The group has developed statistical methods and software tools that analyze the dynamics aspects transcriptomes, integrate these with other types of molecular data and annotate them functionally, with a special focus on Next Generation Sequencing (NGS) data.

As sessile photoautotrophic organisms, plants evolved sophisticated strategies to perceive light environmental signals and to transduce them into molecular signalling networks. Though light is essential for plant growth and development, often plants have to cope with damaging or excessive light conditions, which generate stress and limits growth. We aim to understand the molecular mechanisms that allow plants to integrate beneficial and damaging effects of light and respond to them with striking plasticity.

The Photonics for Energy and Sustainable Environment Research Group at IO-CSIC conducts cutting-edge research to achieve affordable, clean energy and sustainable development. The group is co-directed by Dr. Raquel Caballero and Dr. Martin Lopez with two well-defined research lines: • The Technologies for Energy (TEN) Laboratory, led by Dr. Raquel Caballero Mesa, focuses on proposing and designing advanced materials and devices for sustainable energy with a focus on emerging photovoltaic materials mainly based on chalcogenides. • The Biotic Photonics (BIPHOT) Laboratory, led by Dr.

The Biomolecular Interactions and Structural Glycobiology Group of the Instituto de Investigaciones Químicas investigates the Structural Chemistry of Biomolecular Recognition, with the mission to facilitate an atomic resolution understanding of biologically relevant biomolecular interactions, as well as of the non-covalent interactions responsible for the structural and functional properties of biomaterials, from a structural and dynamic point of view.

Our group explores fundamental physical phenomena in low dimensional materials and magnetism based on advanced multiscale simulations, ranging from the quantum mechanical electronic structure to atomistic models. Our expertise includes both the development of fundamental theoretical models and its implementation in high performance computational codes.

The Vision Modeling Group (VMG) is dedicated to creating mathematical models that allow to predict experimental data in visual neuroscience and visual perception. Towards this goal, we build abstract but biologically plausible mathematical models of neural cells and circuits.

The NM4T group develops new therapeutic strategies based on nanotechnology. We work with synthetic nanoparticles and extracellular vesicles (EV) that: i) protect the active ingredient, ii) direct it to the organ, tissue, and cell type where it is most needed (improving its biodistribution), and iii) expand its therapeutic window. Our goal is to improve the treatment of various pathologies, mainly cancer and a group of rare diseases known as lysosomal storage diseases (LSD).

Alzheimer¿s disease is a multifactorial neurodegenerative disorder and the most common form of dementia. This disorder was first reported by the German physician Alois Alzheimer in 1906 in a 51-year-old patient, named Auguste Deter, who had progressive cognitive and psychosocial impairment accompanied by aphasia, disorientation, hallucinations and delusions. At necropsy, Alois Alzheimer found that Auguste Deter’s brain presented cerebral atrophy, senile plaques, neurofibrillary degeneration and arteriosclerosis of the small cerebral vessels.