MiRACLE | Multiplexed microRNA detection platform for early diagnosis and patient management

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.
Unfold all
/
Fold all
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

SIGNED

Call topic

ERC-2023-POC

Update Date

24-11-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon Europe
HORIZON.1 Excellent Science
HORIZON.1.1 European Research Council (ERC)
HORIZON.1.1.0 Cross-cutting call topics
ERC-2023-POC ERC PROOF OF CONCEPT GRANTS
HORIZON.1.1.1 Frontier science
ERC-2023-POC ERC PROOF OF CONCEPT GRANTS