Descripción del proyecto
Imágenes en tiempo real de los mecanismos de diferenciación de las células madre
La microscopía óptica se utiliza habitualmente en todo el mundo para la investigación y el diagnóstico y permite visualizar objetos de hasta 250 nm. La microscopía de superresolución está ganando terreno a la microscopía óptica, ya que sortea el límite de difracción y mejora de forma notable la capacidad de resolución. El equipo del proyecto RT-SuperES, financiado por el Consejo Europeo de Innovación, tiene como objetivo desarrollar una tecnología de superresolución automatizada que ofrezca la posibilidad de obtener imágenes en tiempo real, lo que permitirá pasar de la microscopía de fluorescencia convencional a la de superresolución. Los investigadores planean utilizar este sistema de superresolución para estudiar la diferenciación de células madre embrionarias.
Objetivo
The development of super-resolution (SR) microscopy in recent years has revolutionized cell biology, breaking the diffraction limit of light microscopy by order of magnitude. However, SR is currently incompatible with high-content imaging. RT-SuperES will provide a groundbreaking and affordable technology with automated SR capabilities beyond the state-of-the-art. To this end, we will generate a library of endogenously-labelled SNAP-tag fusion proteins in mouse embryonic stem cells (ESCs), and deploy a real-time decision-making module, which will continuously monitor our SNAP-tagged cells using fast fluorescence imaging, and, once a change is detected, will fix the desired cells, and switch to SR mode. By bringing together seven world-leading experts from four different countries, combining basic and applied research and industry, we propose several firsts: a) The first endogenously-labelled clone library of SNAP-tag fusion proteins; b) Utilize machine learning (ML) for real-time automated decision making, autonomously switching from fast conventional to SR imaging; c) Combine high content with SR imaging; d) Integrate novel, cutting-edge technologies, namely SR Radial Fluctuations (SRRF), NanoJ-Fluidics, Single Molecule Localization Microscopy (SMLM) and Structured Illumination Microscopy (SIM); e) Collect large scale imaging datasets of cell states in ESCs, and f) Provide cell-cycle stage-dependent nanoscale localization of selected nuclear and chromatin proteins (e.g. H3.3) during early ESC differentiation. RT-SuperES will provide the scientific community with the first-of-its-kind commercial real-time SR-highcontent imaging system, and the first library of endogenously SNAP-tagged ESC clones, which are ideal, among many other things, for SR imaging.
Ámbito científico
- natural sciencesphysical sciencesopticsmicroscopysuper resolution microscopy
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteins
- natural sciencesbiological sciencescell biology
- medical and health sciencesmedical biotechnologycells technologiesstem cells
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Palabras clave
Programa(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Convocatoria de propuestas
HORIZON-EIC-2022-PATHFINDEROPEN-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
EIC - EICCoordinador
91904 Jerusalem
Israel