Disruption and sequence identification of 2,000 genes in mouse embryonic stem cells
Brian P. Zambrowicz (),
Glenn A. Friedrich,
Eric C. Buxton,
Stan L. Lilleberg,
Christophe Person and
Arthur T. Sands
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Brian P. Zambrowicz: Lexicon Genetics
Glenn A. Friedrich: Lexicon Genetics
Eric C. Buxton: Lexicon Genetics
Stan L. Lilleberg: Lexicon Genetics
Christophe Person: Lexicon Genetics
Arthur T. Sands: Lexicon Genetics
Nature, 1998, vol. 392, issue 6676, 608-611
Abstract:
Abstract The dramatic increase in sequence information in the form of expressed sequence tags (ESTs)1 and genomic sequence has created a ‘gene function gap’, with the identification of new genes faroutpacing the rate at which their function can be identified. The ability to create mutations in embryonic stem (ES) cells on a large scale by tagged random mutagenesis provides a powerful approach for determining gene function in a mammalian system; this approach is well established in lower organisms2,3. Here we describe a high-throughput mutagenesis method based on gene trapping that allows the automated identification of sequence tags from the mutated genes. This method traps and mutates genes regardless of their expression status in ES cells. To facilitate the study of gene function on a large scale, we are using these techniques to create a library of ES cells called Omnibank, from which sequence-tagged mutations in 2,000 genes are described.
Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:392:y:1998:i:6676:d:10.1038_33423
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DOI: 10.1038/33423
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