Summary
Early detection of disease on a population scale (screening) relies on highly sensitive testing, able to detect early molecular changes, coupled with cost-effectiveness that enables economic access to such testing at scale.
The MiRACLE project addresses these challenges by combining a breakthrough optical sensing approach for single-molecule detection with creative biochemistry and computation. The ground-breaking goal of this research proposal is to develop a robust diagnostic platform capable of detecting disease-induced changes in micro-RNA expression by counting individual RNA molecules directly in bodily fluids without the need for amplification.
This innovation will be realized by a novel, computationally assisted single-molecule detection scheme that, unlike common single-molecule detection methods, enables detecting a full panel of biomarkers simultaneously in a single snapshot, offering ultimate sensitivity at exceptionally low-cost. These attributes make this technology suitable for large-scale population screening and health management.
Promising preliminary results show that MiRACLE can detect and count individual RNA targets in mixtures of synthetic miRs in physiological sub-femtomolar concentrations. These preliminary results highlight the potential of this approach for ultra-sensitive early detection of disease and a provisional patent has been submitted.
Within the proposed project a proof of principle will be performed on a cohort of lymphoma patients and healthy controls that will be classified by the miracle approach. The technology will be benchmarked against existing state-of-the-art methods such as RNA sequencing and quantitative PCR.
The MiRACLE project addresses these challenges by combining a breakthrough optical sensing approach for single-molecule detection with creative biochemistry and computation. The ground-breaking goal of this research proposal is to develop a robust diagnostic platform capable of detecting disease-induced changes in micro-RNA expression by counting individual RNA molecules directly in bodily fluids without the need for amplification.
This innovation will be realized by a novel, computationally assisted single-molecule detection scheme that, unlike common single-molecule detection methods, enables detecting a full panel of biomarkers simultaneously in a single snapshot, offering ultimate sensitivity at exceptionally low-cost. These attributes make this technology suitable for large-scale population screening and health management.
Promising preliminary results show that MiRACLE can detect and count individual RNA targets in mixtures of synthetic miRs in physiological sub-femtomolar concentrations. These preliminary results highlight the potential of this approach for ultra-sensitive early detection of disease and a provisional patent has been submitted.
Within the proposed project a proof of principle will be performed on a cohort of lymphoma patients and healthy controls that will be classified by the miracle approach. The technology will be benchmarked against existing state-of-the-art methods such as RNA sequencing and quantitative PCR.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/101158251 |
Start date: | 01-06-2024 |
End date: | 30-11-2025 |
Total budget - Public funding: | - 150 000,00 Euro |
Cordis data
Original description
Early detection of disease on a population scale (screening) relies on highly sensitive testing, able to detect early molecular changes, coupled with cost-effectiveness that enables economic access to such testing at scale.The MiRACLE project addresses these challenges by combining a breakthrough optical sensing approach for single-molecule detection with creative biochemistry and computation. The ground-breaking goal of this research proposal is to develop a robust diagnostic platform capable of detecting disease-induced changes in micro-RNA expression by counting individual RNA molecules directly in bodily fluids without the need for amplification.
This innovation will be realized by a novel, computationally assisted single-molecule detection scheme that, unlike common single-molecule detection methods, enables detecting a full panel of biomarkers simultaneously in a single snapshot, offering ultimate sensitivity at exceptionally low-cost. These attributes make this technology suitable for large-scale population screening and health management.
Promising preliminary results show that MiRACLE can detect and count individual RNA targets in mixtures of synthetic miRs in physiological sub-femtomolar concentrations. These preliminary results highlight the potential of this approach for ultra-sensitive early detection of disease and a provisional patent has been submitted.
Within the proposed project a proof of principle will be performed on a cohort of lymphoma patients and healthy controls that will be classified by the miracle approach. The technology will be benchmarked against existing state-of-the-art methods such as RNA sequencing and quantitative PCR.
Status
SIGNEDCall topic
ERC-2023-POCUpdate Date
24-11-2024
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