Label-free single-molecule detection of complex biomolecule interactions in free...
Label-free single-molecule detection of complex biomolecule interactions in free motion
Dysregulated interactions between biomolecules can lead to changes in cell signalling and gene expression, both common drivers of human disease. A detailed understanding of these interactions is vital for drug development, often t...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Proyectos interesantes
Immuno-OCT
In vivo Immunofluorescence-Optical Coherence Tomography
3M€
Cerrado
TOTALPHOTON
A Total Photon Camera for Molecular Imaging of Live Cells
2M€
Cerrado
RYC-2014-16490
Structural biology applied to the study of bacterial signal...
309K€
Cerrado
UNPM13-4E-2396
Dotación de un laboratorio de adquisición para de imágenes d...
100K€
Cerrado
EQC2021-007313-P
Microscopio multifotón vertical para la estimulación y obten...
748K€
Cerrado
PALMASSEMBLY
Protein assembly From the molecular scale to the mesoscale...
2M€
Cerrado
Información proyecto LABIMO
Duración del proyecto: 34 meses
Fecha Inicio: 2024-03-04
Fecha Fin: 2027-01-31
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
Dysregulated interactions between biomolecules can lead to changes in cell signalling and gene expression, both common drivers of human disease. A detailed understanding of these interactions is vital for drug development, often targeting such interactions for therapeutic effects. In this project, I aim to develop an optical microscopy tool to observe interactions of highly diverse biomolecules in terms of e.g. weight or size, in real-time on a single-molecule level without the use of labels or immobilization, which limits many current established methods. This will allow the study of dynamic interactions between complex biomolecules of varying sizes and with a wide range of properties. The tool will be capable of researching various biological systems that are not easily accessible by established methods. This could contribute to breakthroughs in the research of severe diseases such as diabetes mellitus, Alzheimer's, or Parkinson's disease.