Linear classification of multiplexed DNA concentration patterns designed by PEN DNA toolbox

2018

Abstract

In Japan, the number of cancer patients has been increasing with the aging of the population. It has been reported that miRNAs involved in gene regulation increase or decrease in the blood of cancer patients, and a diagnostic method called liquid biopsy is used to collect blood and check if the miRNA concentration is abnormal or not. It is expected that early diagnosis of cancer with low invasiveness and high accuracy would be achived.

The implementation of miRNA liquid biopsy in the medical field needs to satisfy all of "high accuracy", "rapidity" and "low cost". However, at present, there is no detection method that meets the above requirements. We solve the above-mentioned problem by constructing the method to detect miRNA using the DNA toolbox. The DNA toolbox can detect "low concentration" of input DNA in a species-specific manner. Because computing can be performed simultaneously, we can make a "rapid" diagnosis that is completed only by incubation, and also the method has the advantage of "low cost" of reagents.

Design and tuning of chemical reaction network using PEN DNA toolbox Linear classifier of DNA concentration space using droplet platform

Collaboration

  • Rondelez Lab, ESPCI

Sponsor

  • JSPS
  • CNRS