Literature DB >> 25451869

DNA/RNA preparation for molecular detection.

Stephanie A Thatcher1.   

Abstract

BACKGROUND: Effective upstream preparation of nucleic acid (NA) is important for molecular techniques that detect unique DNA or RNA sequences. The isolated NA should be extracted efficiently and purified away from inhibitors of a downstream molecular assay. CONTENT: Many NA sample preparation techniques and commercial kits are available. Techniques for cell lysis and isolation or purification of NA were discovered in early NA characterization studies, evolved in the 20th century with molecular techniques, and still serve as the foundation for current methods. Advances in solid phase extraction methods with nonhazardous chemicals and automated systems have changed the way NA is prepared. Factors to consider when selecting NA preparation methods for molecular detection include lysis (from sources as diverse as human cells, viruses, bacterial spores, or protozoan oocysts), DNA vs RNA, sample background, appropriate preparation chemicals, and required detection limits. Methods are also selected on the basis of requirements for a particular application, such as sample volume or removal of inhibitors. Sometimes tradeoffs are made.
SUMMARY: Good automated and manual methods are available to effectively prepare NA for molecular detection in under an hour. Numerous systems are available for various applications, including techniques that are flexible for multiple sample types, are capable of processing large batches, can be performed in <10 min, or that can yield high-purity NA. When methods are selected using the most applicable combination of lysis isolation efficiency and concentration, NA preparation can be very effective, even for molecular detection of multiple targets from the same sample.
© 2014 American Association for Clinical Chemistry.

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Year:  2014        PMID: 25451869     DOI: 10.1373/clinchem.2014.221374

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


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