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To carry out their activities, Research Teams of the Frédéric Joliot Institute for Life Sciences have developed high-profile technological platforms in many areas : biomedical imaging, structural biology, metabolomics, High-Throughput screening, level 3 microbiological safety laboratory...
All the news of the Institute of life sciences Frédéric Joliot
A team from NeuroSpin designed an original learning paradigm to identify the brain code representing the probability of an event occurring. Results obtained using ultra-high-field functional MRI show that fronto-parietal regions encode this probability and that its representation relies on a highly non-monotonic code.
A team from the SPI (DMTS) investigated the effects of hypoxia on the interface between the choroid plexus and cerebrospinal fluid using organoids derived from human pluripotent stem cells. The aim was to investigate how cerebral hypoxia at birth, which causes hypoxic-ischaemic encephalopathy, disrupts this cerebral barrier, which has not yet been extensively studied.
Researchers from NeuroSpin demonstrate that cortical folding, analyzed using deep learning, holds promising potential for predicting psychiatric disorders. They highlight the value of pre-training to build foundation models on large cohorts and the benefits of a regional approach.
Researchers from DMTS have demonstrated that the quality of proteomic analyses can be significantly improved by optimizing the protein digestion step of a sample. Within the framework of a rapid and automatable technique (SP3), selecting the appropriate magnetic beads and adjusting the protein-to-bead ratio proves to be a winning strategy.
Nanobodies, promising biotherapeutic agents, may trigger undesirable immune reactions. A team from SIMoS demonstrates, using a sensitive assay on human T lymphocytes, that this risk exists for certain nanobodies and can be reduced through sequence humanization. These findings highlight the importance of assessing immunogenicity alongside therapeutic efficacy.
Researchers from the MIND team (NeuroSpin) and the Neuroscience Center in Helsinki describe a machine learning model that simplifies the interpretation of stereo-electroencephalography (SEEG) data acquired during the presurgical evaluation of drug-resistant epilepsy. This approach improves and facilitates the localization of the epileptogenic network.
Peptides and proteins adsorb onto plastic nanoparticles, forming a corona. Researchers from I2BC and CEA-Iramis, using molecular modeling, reveal distinct adsorption behaviors depending on their amino acid sequences. They thus establish a mechanical basis for predicting peptide-plastic interactions, a crucial element for assessing the risks these interactions pose to health and ecosystems.
Researchers from the I2BC show that two Arabidopsis thaliana mutants deficient in manganese transport do not regulate photosynthetic electron transport in the same way, with different consequences for photosynthesis.
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CEA is a French government-funded technological research organisation in four main areas: low-carbon energies, defense and security, information technologies and health technologies. A prominent player in the European Research Area, it is involved in setting up collaborative projects with many partners around the world.