Simple cDNA normalization using kamchatka crab duplex-specific nuclease

We developed a novel simple cDNA normalization method [termed duplex-specific nuclease (DSN) normalization] that may be effectively used for samples enriched with full-length cDNA sequences. DSN normalization involves the denaturation–reassociation of cDNA, degradation of the double-stranded (ds) fr...

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Bibliographic Details
Published in:Nucleic Acids Research
Main Authors: Zhulidov, Pavel A., Bogdanova, Ekaterina A., Shcheglov, Alex S., Vagner, Laura L., Khaspekov, George L., Kozhemyako, Valery B., Matz, Mikhail V., Meleshkevitch, Ella, Moroz, Leonid L., Lukyanov, Sergey A., Shagin, Dmitry A.
Format: Text
Language:English
Published: Oxford University Press 2004
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC373426
http://www.ncbi.nlm.nih.gov/pubmed/14973331
https://doi.org/10.1093/nar/gnh031
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Summary:We developed a novel simple cDNA normalization method [termed duplex-specific nuclease (DSN) normalization] that may be effectively used for samples enriched with full-length cDNA sequences. DSN normalization involves the denaturation–reassociation of cDNA, degradation of the double-stranded (ds) fraction formed by abundant transcripts and PCR amplification of the equalized single-stranded (ss) DNA fraction. The key element of this method is the degradation of the ds fraction formed during reassociation of cDNA using the kamchatka crab DSN, as described recently. This thermostable enzyme displays a strong preference for cleaving ds DNA and DNA in DNA–RNA hybrid duplexes compared with ss DNA and RNA, irrespective of sequence length. We developed normalization protocols for both first-strand cDNA [when poly(A)+ RNA is available] and amplified cDNA (when only total RNA can be obtained). Both protocols were evaluated in model experiments using human skeletal muscle cDNA. We also employed DSN normalization to normalize cDNA from nervous tissues of the marine mollusc Aplysia californica (a popular model organism in neuroscience) to illustrate further the efficiency of the normalization technique.