Review of automated DNA extraction systems for sequencing-based solutions for drug-resistant tuberculosis detection

• Verfasst von: Colman, Rebecca E. [VerfasserIn]
• Verfasst von: Denkinger, Claudia M. [VerfasserIn]
• Titel: Review of automated DNA extraction systems for sequencing-based solutions for drug-resistant tuberculosis detection
• Verf.angabe: Rebecca E. Colman, Anita Suresh, David L. Dolinger, Taylor Muñoz, Claudia M. Denkinger, Timothy C. Rodwell
• E-Jahr: 2020
• Jahr: 30 May 2020
• Umfang: 6 S.
• Fussnoten: Gesehen am 09.12.2020
• Titel Quelle: Enthalten in: Diagnostic microbiology and infectious disease
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 1983
• Jahr Quelle: 2020
• Band/Heft Quelle: 98(2020), 2, Artikel-ID 115096, Seite 1-6
• ISSN Quelle: 1879-0070
• DOI: doi:10.1016/j.diagmicrobio.2020.115096
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: DNA extraction
• Sach-SW: Drug resistant
• Sach-SW: LMIC
• Sach-SW: Sequencing
• Sach-SW: Tuberculosis
• K10plus-PPN: 1742401074

Abstract

Robust clinical specimen nucleic acid extraction instrumentation and methods are critical to the performance of downstream molecular diagnostics for the diagnosis of drug-resistant tuberculosis (DR-TB). Currently, there is a high level of interest in sequencing-based solutions for rapid and comprehensive DR-TB testing from primary specimens (i.e., sputum). However, there is no standardized or fully automated sputum extraction system that has been widely implemented for use with Mycobacterium tuberculosis complex-containing sputum specimens. For sequencing-based technologies to be widely adopted in clinical laboratory settings in low- and middle-income countries, automated extraction technologies will be important to enhance scalability and reliability and to standardize performance of the downstream assays. Additionally, the ease of automatic technologies allows for faster uptake in laboratories currently without the expertise or infrastructure to perform manual extractions at the same automated throughput. This work is intended to provide an initial specification comparison of available automated DNA extraction systems that could serve as front-end components for existing and future sequencing approaches and provide the framework for future evaluations.