Literature DB >> 16619298

Evaluation of sieving matrices used to separate alleles by cycling temperature capillary electrophoresis.

Per Olaf Ekstrøm1, Jens Bjørheim.   

Abstract

Denaturing CE (DCE) is a powerful tool for analysis of DNA variation. The development of commercial multi-CE instruments allows large-scale studies of DNA variation (many samples and many fragments). However, the cost of consumables like capillary arrays and sieving matrix might limit the use of DCE in such studies. Thus, we have tested 72 different in-house formulated sieving matrices' ability to suppress EOF and separate PCR-amplified alleles with the DCE variant, cycling temperature CE (CTCE). The data herein demonstrate that alleles can be baseline-separated by use of PVP and poly(N,N-dimethyl acrylamide) polymers at various percentages and pH. Allele separation by CTCE is matrix-independent and consequently applicable to any capillary instrument used for DNA separation. Formulation of sieving matrix for CTCE was done by dissolving appropriate amount of polymer powder into the running buffers. Allele separation was observed at different pH (7.5-8.5), concentrations and molecular size of the polymer, without compromising the separation and reproducibility. Finally, the cost reduction of homemade matrices is more than 1000-fold as compared to commercial sieving matrices.

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Year:  2006        PMID: 16619298     DOI: 10.1002/elps.200500642

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  3 in total

1.  Analysis of mutational spectra by denaturing capillary electrophoresis.

Authors:  Per O Ekstrøm; Konstantin Khrapko; Xiao-Cheng Li-Sucholeiki; Ian W Hunter; William G Thilly
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

Review 2.  Clinical relevance of KRAS in human cancers.

Authors:  Sylwia Jancík; Jirí Drábek; Danuta Radzioch; Marián Hajdúch
Journal:  J Biomed Biotechnol       Date:  2010-06-07

3.  Non-invasive prenatal detection of trisomy 21 using tandem single nucleotide polymorphisms.

Authors:  Sujana Ghanta; Michael E Mitchell; Mary Ames; Mats Hidestrand; Pippa Simpson; Mary Goetsch; William G Thilly; Craig A Struble; Aoy Tomita-Mitchell
Journal:  PLoS One       Date:  2010-10-08       Impact factor: 3.240

  3 in total

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