Search for a funded project
Polarized super-resolution imaging for live conformational imaging – 3DPolariSR
Development of a microscopy module and associated fluorescent labels for the detection of conformational changes of proteins involved in cell adhesion by single molecule orientation and localization microscopy (SMOLM).
A central control hub in DNA damage responses: function and regulation of the RBR module – RHiD
Despite their relevance for agriculture upon global change, DNA damage and repair pathways in plants are still poorly understood. Using the plant RBR1 gene as a central hub in DNA damage response (DDR) to identify new players in the plant DDR pathway and investigate their regulation, this work highlights the importance of proteins stability control in DDR, linking players of the cell cycle, the proteasomal degradation machinery and the autophagy to respond to challenges of genome stability.
Lunar tidal Deformation from earth-based and orbital Laser Ranging – LDLR
This project aims at an improved and consistent determination of the tidal deformations of the Moon by a synthesis of the large amount of observation <br /> obtained from Earth-based Lunar Laser Ranging (LLR) and laser altimetry (LA) from lunar orbit and modelings using different inner structure modelings and rheologies. <br />With a better understanding of the Moon deformations, one will have a better view on its inner structure.
Microstructure and mechanical properties of polycrystalline nickel-base superalloys of the aerojet engines of the future – TOPAZE
Capable of higher operating temperatures, new polycrystalline nickel-based superalloys are used for new generation aircraft engines. To take full advantage of the performance of these materials, the microstructure changes occurring during the forming operations must be perfectly controlled and lead to the optimal microstructure, to be defined according to the targetted in-service conditions.
Computational analysis of the response of immune repertoires to viruses – RESP-REP
RESP-REP aims to turn the power of high-throughput immune repertoire sequencing into useful medical diagnosis tools, by predicting the immune function and specificity of lymphocyte receptors sequences.
An antimicrobial origin of organelle targeting peptides – ChloroMitoRAMP
The vast majority of the proteome of bioenergetic organelles (chloroplasts and mitochondria) is imported into the organelle from the cytosol. This import is based on targeting peptides (oTP) located at the N-terminus of imported proteins, allowing their translocation through the envelope of organelles. The origin of these organelle targeting sequences and of the import machine that assist their translocation remains enigmatic.
The microbiome-gut-brain axis in Autism Spectrum Disorder – MICROBIAUTISM
The pathophysiological role of the gut microbiota in ASD and the mechanisms underlying microbiota-induced gut-brain axis dysfunctions remain unknown. To lift this scientific barrier, we hypothesize in the Microbioautism project that gut dysbiosis in patients with ASD results in an abnormal composition of metabolites contributing to altered gut and brain functions.
Identification of patients at risk of torsade de pointes, a life-threatening arrhythmia, using ECGs and deep learning – DeepECG4U
Some cardiovascular diseases (congenital long QT syndrome, cLQTS) or drug-induced long QT syndrome (diLQTS), can cause Torsade de Pointes (TdP), a life-threatening arrhythmia. On the ECG, the QT interval is prolonged, but the waveforms have specificities, thus being poorly predictive of TdP. New predictive approaches are needed to improve physician assessment and reduce the risk of TdP events.
Medical Diagnostic by Artificial Intelligence applied to LIBS Elemental Microscopy – dIAg-EM
The overall goal of the DIAg-EM project is to use laser-induced breakdown spectroscopy (LIBS) elemental-microscopy with artificial intelligence processing to identify, localize and quantify pathogen elements present in selected human lung biopsies. We are proposing to develop a deep learning method able to perform, in real time, a non-supervised elemental identification, and to generate quantitative results over large areas of complex human specimens.
HYpoxia and alternatively activated MAcrophaGEs as novel molecular imaging targets for early monitoring of therapy efficacy in Idiopathic Pulmonary Fibrosis – HYMAGE-IPF
Idiopathic pulmonary fibrosis (IPF) is a progressive disease. Therapeutic options are limited with ninedanib and pirfenidone, which slow down the progression of fibrosis. Pulmonary hypoxia is a clinical feature of IPF patients but its exact role in disease progression remains poorly understood. Pulmonary hypoxic areas are found in IPF patients and promote alternative activation of M2 macrophages expressing CD206. The secreted form of heat shock protein (HSP)-90 and its receptor, LRP1, are involved in M2 polarization under hypoxic conditions.
