Title
Automated trutip nucleic acid extraction and purification from raw sputum
Date Issued
01 July 2018
Access level
open access
Resource Type
journal article
Author(s)
Thakore N.
Norville R.
Franke M.
Villanueva M.
Murray M.B.
Cooney C.G.
Chandler D.P.
Holmberg R.C.
Publisher(s)
Public Library of Science
Abstract
Automated nucleic acid extraction from primary (raw) sputum continues to be a significant technical challenge for molecular diagnostics. In this work, we developed a prototype open-architecture, automated nucleic acid workstation that includes a mechanical homogenization and lysis function integrated with heating and TruTip purification; optimized an extraction protocol for raw sputum; and evaluated system performance on primary clinical specimens. Eight samples could be processed within 70 min. The system efficiently homogenized primary sputa and doubled nucleic acid recovery relative to an automated protocol that did not incorporate sample homogenization. Nucleic acid recovery was at least five times higher from raw sputum as compared to that of matched sediments regardless of smear or culture grade, and the automated workstation reproducibly recovered PCR-detectable DNA to at least 80 CFU mL-1 raw sputum. M. tuberculosis DNA was recovered and detected from 122/123 (99.2%) and 124/124 (100%) primary sputum and sediment extracts, respectively. There was no detectable cross-contamination across 53 automated system runs and amplification or fluorescent inhibitors (if present) were not detectable. The open fluidic architecture of the prototype automated workstation yields purified sputum DNA that can be used for any molecular diagnostic test. The ability to transfer TruTip protocols between personalized, on-demand pipetting tools and the fully automated workstation also affords public health agencies an opportunity to standardize sputum nucleic acid sample preparation procedures, reagents, and quality control across multiple levels of the health care system.
Volume
13
Issue
7
Language
English
OCDE Knowledge area
Tecnología médica de laboratorio (anÔlisis de muestras, tecnologías para el diagnóstico) Enfermedades infecciosas Sistema respiratorio
Scopus EID
2-s2.0-85049534151
PubMed ID
Source
PLoS ONE
ISSN of the container
19326203
Sponsor(s)
This work was supported by the National Institutes of Health (NIH) under the Center of Excellence in Translational Research (CETR) grant U19 AI109755, R01AI111435, and R44 EB011274, R44GM103053, and HHSN272201600024C. Authors Nitu Thakore, Ryan Norville, Christopher Cooney, Darrell Chandler, and Rebecca Holmberg are employed by Akonni Biosystems. This funding entity provided support in the form of salaries for the specified authors, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ā€˜author contributions’ section. We are indebted to Gustavo Pariona, Carmen Contreras, Julia Coit, Milagros Mendoza, and Jerome Galea from Socios En Salud Sucursal PerĆŗ for operating the clinical site, collecting and archiving samples for the study.
Sources of information: Directorio de Producción Científica Scopus