日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

学術論文

A large-scale, gene-driven mutagenesis approach for the functional analysis of the mouse genome

MPS-Authors

Ruiz,  Patricia
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

Hansen, J., Floss, T., Van Sloun, P., Fuchtbauer, E.-M., Vauti, F., Arnold, H.-H., Schnutgen, F., Wurst, W., von Melchner, H., & Ruiz, P. (2003). A large-scale, gene-driven mutagenesis approach for the functional analysis of the mouse genome. Proceedings of the National Academy of Sciences of the United States of America, 100(17), 9918-9922.


引用: https://hdl.handle.net/11858/00-001M-0000-0010-89CC-E
要旨
A major challenge of the postgenomic era is the functional characterization of every single gene within the mammalian genome. In an effort to address this challenge, we assembled a collection of mutations in mouse embryonic stem (ES) cells, which is the largest publicly accessible collection of such mutations to date. Using four different gene-trap vectors, we generated 5,142 sequences adjacent to the gene-trap integration sites (gene-trap sequence tags; http://genetrap.de) from >11,000 ES cell clones. Although most of the gene-trap vector insertions occurred randomly throughout the genome, we found both vector-independent and vector-specific integration "hot spots." Because >50% of the hot spots were vector-specific, we conclude that the most effective way to saturate the mouse genome with gene-trap insertions is by using a combination of gene-trap vectors. When a random sample of gene-trap integrations was passaged to the germ line, 59% (17 of 29) produced an observable phenotype in transgenic mice, a frequency similar to that achieved by conventional gene targeting. Thus, gene trapping allows a large-scale and cost-effective production of ES cell clones with mutations distributed throughout the genome, a resource likely to accelerate genome annotation and the in vivo modeling of human disease.