Projektbeschreibung
Echtzeitbildgebung der Stammzelldifferenzierung
Die Lichtmikroskopie wird in der Forschung und Diagnostik auf der ganzen Welt routinemäßig verwendet und ermöglicht die Visualisierung von Objekten von bis zu 250 nm Größe. Die optische Mikroskopie wird nach und nach durch superhochauflösende Mikroskopie abgelöst, welche die Beugungsgrenze überwindet und die Auflösung deutlich verbessert. Das durch den Europäischen Innovationsrat finanzierte Projekt RT-SuperES zielt darauf ab, eine automatisierte superhochauflösende Technologie zu entwerfen, welche Echtzeitbildgebung bietet und dabei von konventioneller auf Fluoreszenzmikroskopie umschalten kann. Die Forschenden wollen dieses superhochauflösende System einsetzen, um die Differenzierung von embryonalen Stammzellen zu erforschen.
Ziel
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.
Wissenschaftliches Gebiet
- 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
Schlüsselbegriffe
Programm/Programme
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Aufforderung zur Vorschlagseinreichung
HORIZON-EIC-2022-PATHFINDEROPEN-01
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
EIC - EICKoordinator
91904 Jerusalem
Israel