Quantum-Si‘s patent involves a method to separate rare mutations using heteroduplex binding proteins. By nicking the target nucleic acid and applying specific fields, the method isolates and analyzes the mutations. This innovative technique allows for the identification of unknown mutations in a straightforward manner. GlobalData’s report on Quantum-Si gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Quantum-Si, Optoelectronic biosensors was a key innovation area identified from patents. Quantum-Si's grant share as of February 2024 was 19%. Grant share is based on the ratio of number of grants to total number of patents.
Separating target heteroduplex nucleic acid from background nucleic acid
A recently granted patent (Publication Number: US11898196B2) discloses a method for separating target heteroduplex nucleic acid from background nucleic acid. The method involves nicking the target heteroduplex nucleic acid, loading a mixture of nicked target heteroduplex nucleic acid and background homoduplex nucleic acid on a separation medium, and contacting the mixture with a heteroduplex-binding protein. By applying time-varying driving and mobility varying fields to the separation medium, the target heteroduplex nucleic acid is effectively separated from the background homoduplex nucleic acid.
The patent claims also detail additional steps such as denaturing the heteroduplex-binding protein, sequencing the target heteroduplex nucleic acid, and amplifying the single-stranded nucleic acid. The method allows for the recovery of target heteroduplex nucleic acid and homoduplex background nucleic acid from biological samples like whole blood, serum, plasma, tissue, urine, and more. Furthermore, the patent covers the identification of the ratio of target heteroduplex nucleic acid to background homoduplex nucleic acid in the sample, providing a comprehensive approach to nucleic acid separation and analysis.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
