SOURCE-LINKED INTELLIGENCE

Simple and cost-effective cancer diagnosis in liquid biopsy through native tRNA sequencing

CORDIS · observation · Publication date unknown

native tRNA nanopore sequencing, for a fraction of the cost of next-generation sequencing-based approaches. By employing a proprietary Nano-tRNAseq nanopore library preparation protocol coupled with deep learning algorithms that will rapidly classify the nanopore current signals, here we aim to establish a method that exploits tRNAs as novel biomarkers through the use of third generation sequencing technologies. We have initial evidence of how our approach can separate cancer from non-cancer samples and possibly be used to identify the tissue of origin. In this project, we will fully validate our technological platform for the differential analysis of low-input RNA amounts in liquid biopsy samples. We will initially apply our method in the cancer arena, expandable to many other indications, following the advice of key stakeholders contacted so far, with the goal of laying the basis for the transfer of our technology to the marketplace, including through the creation of a new start-up company.

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR