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Approaches for timeline reductions in pathogenesis studies using genetically modified mice.
- Source :
-
Microbiology spectrum [Microbiol Spectr] 2023 Sep 11, pp. e0252123. Date of Electronic Publication: 2023 Sep 11. - Publication Year :
- 2023
- Publisher :
- Ahead of Print
-
Abstract
- Although genetically modified mouse models have long been a powerful tool for microbiology research, the manipulation of the mouse genome is expensive, time consuming, and has historically remained the domain of dedicated animal facilities. The recent use of in vivo clustered regularly interspaced short palindromic repeats (CRISPR)-based editing technology has been reported to reduce the expertise, cost, and time required to generate novel mouse lines; it has remained unclear, however, if this new technology could meaningfully alter experimental timelines. Here, we report the optimization of an in oviduct murine genetic manipulation technique for use by microbiologists. We use this approach to generate a series of knockout mice and detail a protocol using an influenza A virus infection model to test the preliminary importance of a host factor in as short as 11 weeks (with a fully backcrossed knockout line in ~22 weeks) from initiation of the study. Broader use of this approach by the microbiology community will allow for more efficient, and rapid, definition of novel pathogenic mechanisms in vivo . IMPORTANCE Clustered regularly interspaced short palindromic repeats (CRISPR)-based technologies have already begun to revolutionize biomedical science. An emerging application of this technology is in the development of genetically modified model organisms to study the mechanisms underlying infectious disease. Here, we describe a protocol using an in vivo CRISPR-based approach that can be used to test the importance of a candidate host factor for microbial pathogenesis in less than 3 months and before complete establishment of a new mouse line. Adoption of this approach by the broader microbiology community will help to decrease the resources and time required to understand how pathogens cause disease which will ultimately speed up the development of new clinical interventions and therapies.
Details
- Language :
- English
- ISSN :
- 2165-0497
- Database :
- MEDLINE
- Journal :
- Microbiology spectrum
- Publication Type :
- Academic Journal
- Accession number :
- 37695101
- Full Text :
- https://doi.org/10.1128/spectrum.02521-23