Literature DB >> 12951771

Single nucleotide polymorphism discrimination assisted by improved base stacking hybridization using oligonucleotide microarrays.

D Wang1, H Gao, R Zhang, X Ma, Y Zhou, J Cheng.   

Abstract

Efficiencies of mismatch discrimination using size-varied capture probes were examined at various hybridization temperatures. The probes were 17, 15, 13, 11, 9, and 7 nucleotides long and contained single-base mismatches at their 3' ends. The optimal signal intensity and efficiency of base stacking hybridization on mismatch discrimination were observed for capture probes with a melting temperature (Tm) value of 36 degrees C, in the detection of DNA sequence variations at 40 degrees C. We employed asymmetric PCR to prepare single-stranded target DNA labeled with a fluorescent dye, and the PCR product was hybridized on the DNA microarray with no further purification. Our efforts have enhanced the sensitivity and simplified the procedures of base stacking hybridization on mismatch discrimination. As a model experiment, this improved technology was used to identify plasmid templates of human leukocyte antigen (HLA)-A alleles 2601, 2902, and 0206 on oligonucleotide microarrays. It is now possible to apply this simple, rapid, sensitive, and reliable base stacking hybridization technology to detect DNA sequence variations on microarrays in clinical diagnosis and other applications.

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Year:  2003        PMID: 12951771     DOI: 10.2144/03352st02

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  2 in total

1.  Low density DNA microarray for detection of most frequent TP53 missense point mutations.

Authors:  Angélica Rangel-López; Rogelio Maldonado-Rodríguez; Mauricio Salcedo-Vargas; Juana Mercedes Espinosa-Lara; Alfonso Méndez-Tenorio; Kenneth L Beattie
Journal:  BMC Biotechnol       Date:  2005-02-15       Impact factor: 2.563

2.  Software for optimization of SNP and PCR-RFLP genotyping to discriminate many genomes with the fewest assays.

Authors:  Shea N Gardner; Mark C Wagner
Journal:  BMC Genomics       Date:  2005-05-16       Impact factor: 3.969

  2 in total

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