Ligation detection reaction-TaqMan procedure for single nucleotide polymorphism 
detection on genomic DNA

Borodina, Tatiana A.; Lehrach, Hans; Soldatov, Aleksey V.

doi:10.1016/j.ab.2004.05.032

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

Ligation detection reaction-TaqMan procedure for single nucleotide polymorphism detection on genomic DNA

MPS-Authors

/persons/resource/persons50111

Borodina, Tatiana A.
Technology Development(Alexey Soldatov), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society;

/persons/resource/persons50409

Lehrach, Hans
Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society;

/persons/resource/persons50561

Soldatov, Aleksey V.
Technology Development(Alexey Soldatov), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society;

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

Borodina, T. A., Lehrach, H., & Soldatov, A. V. (2004). Ligation detection reaction-TaqMan procedure for single nucleotide polymorphism detection on genomic DNA. Analytical Biochemistry, 333, 309-319. doi:10.1016/j.ab.2004.05.032.

引用: https://hdl.handle.net/11858/00-001M-0000-0010-87A2-9

要旨

In this article, we describe a genotyping approach applicable to both individual and multiplexed single nucleotide polymorphism (SNP) analysis, based on a ligation detection reaction (LDR) performed directly on genomic DNA. During the ligation, the biallelic state of the SNP locus is converted into a bimarker state of ligated detector oligonucleotides. The state of the markers is then determined by a 5′-nuclease assay (TaqMan) with universal fluorescent probes. The LDR-TaqMan method was successfully applied for the genotyping of 30 SNP loci of Arabidopsis thaliana. The technology is cost-effective, needs no locus-specific optimization, requires minimal manipulations, and has very good potential for automation.