Competitive Surface Probes and Quantitative Recognition Arrays

Kenneth Breslauer (Inventor), Leslie Beadling (Inventor), Jens Volker (Inventor), William Braunlin (Inventor)

Research output: Innovation

Abstract

Invention Summary: Scientists at Rutgers and RAD (a biotechnology start-up) have designed a way to eliminate many false positives in highly sensitive research and diagnostic technologies. Competitive Surface Probes (CSPs) can be integrated into Quantitative Recognition Arrays to both quantify target concentrations and substantially reduce the occurrence of false positives. The CSPs use the thermodynamics of competitive differential hybridization to obtain a more careful reading of the target’s binding affinity. This technology allows the binding affinity to be rationally modulated to create useful signal ranges optimized for a given diagnostic platform. The CSPs are applicable to a wide variety of previously developed biosensor and diagnostic technologies. Market Applications: Diagnostics Bioinformatics Microfluidics Research Applications RT- PCR Biosensors Advantages: Reduces false positives in existing technologies Works for both DNA-meter and Apta-meter (protein, small molecules, etc.) diagnostics Can work with fluorescence technologies Intellectual Property & Development Status: Patent pending Select Publications: Völker J, Plum GE, Klump HH, Breslauer KJ. 2010. Energy crosstalk between DNA lesions: implications for allosteric coupling of DNA repair and triplet repeat expansion pathways. J Am Chem Soc. 132(12):4095-7. Minetti CA, Remeta DP, Dickstein R, Breslauer KJ. 2010. Energetic signatures of single base bulges: thermodynamic consequences and biological implications. Nucleic Acids Res. 38(1):97-116. Minetti CA, Remeta DP, Johnson F, Iden CR, Breslauer KJ. 2010. Impact of alpha-hydroxy-propanodeoxyguanine adducts on DNA duplex energetics: opposite base modulation and implications for mutagenicity and genotoxicity. Biopolymers. 93(4):370-82.
Original languageEnglish (US)
StatePublished - Aug 2018

Keywords

  • Bioinformatics
  • Biosensor
  • Diagnostics
  • Microfluidics
  • Research Applications RT- PCR

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