2007
DOI: 10.1021/ac7016376
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Identification of PCR Products Using PNA Amphiphiles in Micellar Electrokinetic Chromatography

Abstract: We present a method to identify single-stranded PCR products of varying lengths by hybridization of n-alkylated peptide nucleic acids (PNA amphiphiles) to the products, followed by separation with micellar electrokinetic chromatography (MEKC). These end-attached PNA amphiphiles (PNAA) partition to nonionic micelles in the running buffer (Triton X-100), linking the tagged DNA to the micellar drag-tag. This linkage shifts the electrophoretic mobility of a tagged component away from both untagged DNA and tagged D… Show more

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Cited by 28 publications
(49 citation statements)
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“…These PNA amphiphiles bind transiently with micelles and vesicles, particularly when bound to a complementary DNA sequence. This allows micelles to be PNA n electrokinetic chromatography, allowing the rapid separation of unlabelled DNA based upon their length and sequence [48,[50][51][52].…”
Section: A Single Hydrocarbon Chainsmentioning
confidence: 99%
“…These PNA amphiphiles bind transiently with micelles and vesicles, particularly when bound to a complementary DNA sequence. This allows micelles to be PNA n electrokinetic chromatography, allowing the rapid separation of unlabelled DNA based upon their length and sequence [48,[50][51][52].…”
Section: A Single Hydrocarbon Chainsmentioning
confidence: 99%
“…All MEKC datasets were fit according to the model proposed by Grosser et al [7]. In this treatment, the effective mobility of the PNAA-tagged DNA in the presence of micelles (m eff ), is simply a weighted average of the intrinsic mobility of the bound target, m …”
Section: Mekc Model Implementationmentioning
confidence: 99%
“…This quantity is not the observed electrophoretic mobility, but rather a limiting case achieved as the fraction of time the DNA spends attached to a micelle approaches unity. That fraction (fmic) increases with the concentration of micelles in the running buffer ([M]) [7]:…”
Section: Mekc Separation Of Long Ssdna Targetsmentioning
confidence: 99%
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