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Ultra-rapid somatic variant detection via real-time targeted amplicon sequencing.
Wadden, Jack; Newell, Brandon S; Bugbee, Joshua; John, Vishal; Bruzek, Amy K; Dickson, Robert P; Koschmann, Carl; Blaauw, David; Narayanasamy, Satish; Das, Reetuparna.
Affiliation
  • Wadden J; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA. wadden@umich.edu.
  • Newell BS; Division of Computer Science and Engineering, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA. wadden@umich.edu.
  • Bugbee J; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan School of Medicine, Ann Arbor, MI, 48109, USA. wadden@umich.edu.
  • John V; Division of Computer Science and Engineering, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Bruzek AK; Division of Computer Science and Engineering, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Dickson RP; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan School of Medicine, Ann Arbor, MI, 48109, USA.
  • Koschmann C; Department of Neurosurgery, University of Michigan School of Medicine, Ann Arbor, MI, 48109, USA.
  • Blaauw D; Division of Pulmonary and Critical Care, Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, MI, 48109, USA.
  • Narayanasamy S; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan School of Medicine, Ann Arbor, MI, 48109, USA.
  • Das R; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
Commun Biol ; 5(1): 708, 2022 07 15.
Article in En | MEDLINE | ID: mdl-35840782
ABSTRACT
Molecular markers are essential for cancer diagnosis, clinical trial enrollment, and some surgical decision making, motivating ultra-rapid, intraoperative variant detection. Sequencing-based detection is considered the gold standard approach, but typically takes hours to perform due to time-consuming DNA extraction, targeted amplification, and library preparation times. In this work, we present a proof-of-principle approach for sub-1 hour targeted variant detection using real-time DNA sequencers. By modifying existing protocols, optimizing for diagnostic time-to-result, we demonstrate confirmation of a hot-spot mutation from tumor tissue in ~52 minutes. To further reduce time, we explore rapid, targeted Loop-mediated Isothermal Amplification (LAMP) and design a bioinformatics tool-LAMPrey-to process sequenced LAMP product. LAMPrey's concatemer aware alignment algorithm is designed to maximize recovery of diagnostically relevant information leading to a more rapid detection versus standard read alignment approaches. Using LAMPrey, we demonstrate confirmation of a hot-spot mutation (250x support) from tumor tissue in less than 30 minutes.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Neoplasms Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Commun Biol Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Neoplasms Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Commun Biol Year: 2022 Type: Article Affiliation country: United States