Data-driven Multiplexing for Accurate Gene Detection

Reference number 10730

Sectors: Medtech

Industries: Medical Diagnostics

Machine learning approach for high-level multiplexing in qPCR and dPCR, up to 21-plex demonstrated

The technology enables accurate multiplexing (up to 21 targets in a single well has been demonstrated). The patented approach enables the recognition of primer-characteristic molecular signatures. This gives rise to truly affordable solutions in established molecular tests, by effectively extracting the kinetic and thermodynamic information from existing real-time data. Importantly, this technology is compatible with conventional qPCR and state-of-the-art dPCR set-ups.

Proposed use

This technology enhances diagnostic performance and increases throughput by identifying multiple nucleic acid targets in a single amplification reaction. It is compatible with a wide range of amplification chemistries (e.g., probe-based, intercalating dyes, and isothermal reactions), and hence, can be seamlessly integrated with various laboratory workflows.

Problem addressed

Efficiency and affordability are paramount for a wide range of diagnostic applications including infectious diseases, genotyping and precision cancer medicine. Multiplexing offers a solution that reduces the requirements in physical space, time-to-result, and volume of reagents and sample. To date, multiplexed assays rely on fluorescent probes (limited by optical instrumentation), post-amplification analysis (lengthy gel-electrophoresis or expensive sequencing approaches) or spatial multiplexing (resource consuming).

Technology overview

The technology leverages machine learning to automatically learn target-specific information encoded in each amplification event (via real-time data), to identify the nature of nucleic acid molecules.

Benefits

  • Enables a time and cost-effective solution to identify multiple nucleic acids in a single chemical reaction
  • Provides extremely reliable and accurate high-level multiplexing capability
  • Applies across real-time PCR platforms and amplification chemistries that are used in many scientific fields
  • Identifies millions of single amplification reactions in seconds

Intellectual Property Information

GB 2013035.7 – IDENTIFYING A TARGET NUCLEIC ACID

Contact

Michelle Cortis

Industry Partnerships and Commercialisation Senior Executive, Engineering

Michelle Cortis is a Senior Executive in the Industrial Partnerships and Commercialisation team for the Faculty of Engineering

Contact Michelle

+44 (0) 7517 551971

m.cortis@imperial.ac.uk

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