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A novel pathogen detection system based on high-resolution CE-SSCP using a triblock copolymer matrix.
- Source :
-
Journal of separation science [J Sep Sci] 2010 Jun; Vol. 33 (11), pp. 1639-43. - Publication Year :
- 2010
-
Abstract
- Although CE-SSCP analysis combined with 16S ribosomal RNA gene-specific PCR has enormous potential as a simple and versatile pathogen detection technique, low resolution of CE-SSCP causes the limited application. Among the experimental conditions affecting the resolution, the polymer matrix is considered to be most critical to improve the resolution of CE-SSCP analysis. However, due to the peak broadening caused by the interaction between hydrophobic moiety of polymer matrices and DNA, conventional polymer matrices are not ideal for CE-SSCP analysis. A poly(ethyleneoxide)-poly(propyleneoxide)-poly(ethyleneoxide) (PEO-PPO-PEO) triblock copolymer, with dynamic coating ability and a propensity to form micelles to minimize exposure of hydrophobic PPO block to DNA, can be an alternative matrix. In this study, we examined the resolution of CE-SSCP analysis using the PEO-PPO-PEO triblock copolymer as the polymer matrix and four same-sized DNA fragments of similar sequence content. Among 48 commercially available PEO-PPO-PEO triblock copolymers, three were selected due to their transparency in the operable range of viscosity and PEO(137)PPO(43)PEO(137) exhibited the most effective separation. Significant improvement in resolution allowed discrimination of the similar sequences, thus greatly facilitated CE-SSCP analysis compared to the conventional polymer matrix. The results indicate that PEO-PPO-PEO triblock copolymer may serve as an ideal matrix for high-resolution CE-SSCP analysis.
- Subjects :
- Bacterial Infections diagnosis
DNA chemistry
Genomics
Micelles
Models, Statistical
Polymerase Chain Reaction
RNA, Ribosomal, 16S metabolism
DNA, Bacterial isolation & purification
Electrophoresis, Capillary instrumentation
Electrophoresis, Capillary methods
Polymers chemistry
Polymorphism, Single-Stranded Conformational
Subjects
Details
- Language :
- English
- ISSN :
- 1615-9314
- Volume :
- 33
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Journal of separation science
- Publication Type :
- Academic Journal
- Accession number :
- 20405485
- Full Text :
- https://doi.org/10.1002/jssc.200900871