Review of automated DNA extraction systems for sequencing-based solutions for drug-resistant tuberculosis detection Article Swipe
Rebecca E. Colman
,
Anita Suresh
,
David L. Dolinger
,
Taylor Muñoz
,
Claudia M. Denkinger
,
Timothy C. Rodwell
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.diagmicrobio.2020.115096
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.diagmicrobio.2020.115096
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.
Related Topics
Concepts
Sputum
Scalability
DNA extraction
Computer science
Tuberculosis
Turnaround time
Drug resistant tuberculosis
Mycobacterium tuberculosis
Polymerase chain reaction
Medicine
Biology
Database
Pathology
Operating system
Biochemistry
Gene
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.diagmicrobio.2020.115096
- OA Status
- hybrid
- Cited By
- 6
- References
- 16
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W3029407605Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.diagmicrobio.2020.115096Digital Object Identifier
- Title
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Review of automated DNA extraction systems for sequencing-based solutions for drug-resistant tuberculosis detectionWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-05-30Full publication date if available
- Authors
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Rebecca E. Colman, Anita Suresh, David L. Dolinger, Taylor Muñoz, Claudia M. Denkinger, Timothy C. RodwellList of authors in order
- Landing page
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https://doi.org/10.1016/j.diagmicrobio.2020.115096Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.diagmicrobio.2020.115096Direct OA link when available
- Concepts
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Sputum, Scalability, DNA extraction, Computer science, Tuberculosis, Turnaround time, Drug resistant tuberculosis, Mycobacterium tuberculosis, Polymerase chain reaction, Medicine, Biology, Database, Pathology, Operating system, Biochemistry, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
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2025: 2, 2024: 2, 2023: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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