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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
Using high-resolution electroencephalography, a team from NeuroSpin has identified a significant link between the power of beta brain waves and hyper- and hypo-sensory particularities in autistic individuals aged between 5 and 17.
An I2BC team has studied, using both in vitro and in silico approaches, the dynamics of phosphatidylserine transport between the endoplasmic reticulum and the plasma membrane in the yeast S. cerevisiae. Their study reveals that the protein Ist2 exhibits lipid scramblase activity and identifies a functional partnership between Ist2 and the lipid transfer protein Osh6.
A team from NeuroSpin measured brain connectivity patterns using functional MRI data from a deep-phenotyping dataset involving several tasks (watching movies, listening to stories). The authors showed that sparse partial correlation is more effective for identifying individuals, whereas standard correlation performs better for distinguishing and classifying different cognitive tasks
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.
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.
Researchers from BioMaps, NeuroSpin and the Paris Psychiatry & Neurosciences University Hospital Group have unveiled the results of a two-year longitudinal study highlighting differences in white matter bundle alterations between patients with Alzheimer’s disease and those with LATE amnesia.
Researchers from DMTS designed bifunctional PROTAC chemical probes to identify the molecular target(s) of Retro-2 compounds, broad-spectrum inhibitors of intracellular pathogens. Although this approach did not identify new Retro-2 targets, it revealed a molecular glue effect involving the protein GSPT1.
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.
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.
The CEA is revealing a series of in vivo human brain images acquired with the Iseult MRI machine and its unmatched 11.7 teslas magnetic field strength. This success is the fruit of more than 20 years of R&D as part of the Iseult project, with one pillar goal being to design and build the world’s most powerful MRI machine. Its ambition is to study healthy and diseased human brains with an unprecedented resolution, allowing us to discover new details relating to the brain’s anatomy, connections, and activity.
In an article in the New York Times, Stanislas Dehaene (NeuroSpin director) and Mathias Sablé-Meyer (PhD student) discuss recent results obtained in collaboration with the Collège de France, the CNRS and the University of Paris 8 that show that humans have a universal capacity to understand abstract geometric concepts.
September 2021, the 11.7 Tesla MRI of the Iseult project, the most powerful in the world for human imaging, has just unveiled its first images.
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.