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 PMID:23918385  

Conditionals by inversion provide a universal method for the generation of conditional alleles.

Aris N Economides | David Frendewey | Peter Yang | Melissa G Dominguez | Anthony T Dore | Ivan B Lobov | Trikaldarshi Persaud | Jose Rojas | Joyce McClain | Peter Lengyel | Gustavo Droguett | Rostislav Chernomorsky | Sean Stevens | Wojtek Auerbach | Thomas M Dechiara | William Pouyemirou | Joseph M Cruz | Kieran Feeley | Ian A Mellis | Jason Yasenchack | Sarah J Hatsell | Liqin Xie | Esther Latres | Lily Huang | Yuhong Zhang | Evangelos Pefanis | Dimitris Skokos | Ron A Deckelbaum | Susan D Croll | Samuel Davis | David M Valenzuela | Nicholas W Gale | Andrew J Murphy | George D Yancopoulos
Proceedings of the National Academy of Sciences of the United States of America | 2013

Conditional mutagenesis is becoming a method of choice for studying gene function, but constructing conditional alleles is often laborious, limited by target gene structure, and at times, prone to incomplete conditional ablation. To address these issues, we developed a technology termed conditionals by inversion (COIN). Before activation, COINs contain an inverted module (COIN module) that lies inertly within the antisense strand of a resident gene. When inverted into the sense strand by a site-specific recombinase, the COIN module causes termination of the target gene's transcription and simultaneously provides a reporter for tracking this event. COIN modules can be inserted into natural introns (intronic COINs) or directly into coding exons as part of an artificial intron (exonic COINs), greatly simplifying allele design and increasing flexibility over previous conditional KO approaches. Detailed analysis of over 20 COIN alleles establishes the reliability of the method and its broad applicability to any gene, regardless of exon-intron structure. Our extensive testing provides rules that help ensure success of this approach and also explains why other currently available conditional approaches often fail to function optimally. Finally, the ability to split exons using the COIN's artificial intron opens up engineering modalities for the generation of multifunctional alleles.

Pubmed ID: 23918385

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International Mouse Phenotyping Consortium (IMPC) (tool)

RRID:SCR_006158

Center that produces knockout mice and carries out high-throughput phenotyping of each line in order to determine function of every gene in mouse genome. These mice will be preserved in repositories and made available to scientific community representing valuable resource for basic scientific research as well as generating new models for human diseases.

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