An enhanced gene targeting toolkit for Drosophila: Golic+
dc.contributor.author | Chen, Hui-Min | |
dc.contributor.author | Huang, Ya-ling | |
dc.contributor.author | Pfeiffer, Barret D. | |
dc.contributor.author | Yao, Xiaohao | |
dc.contributor.author | Lee, Tzumin | |
dc.date | 2022-08-11T08:08:55.000 | |
dc.date.accessioned | 2022-08-23T16:12:17Z | |
dc.date.available | 2022-08-23T16:12:17Z | |
dc.date.issued | 2015-03-01 | |
dc.date.submitted | 2015-08-13 | |
dc.identifier.citation | Genetics. 2015 Mar;199(3):683-94. doi: 10.1534/genetics.114.173716. Epub 2015 Jan 2. <a href="http://dx.doi.org/10.1534/genetics.114.173716">Link to article on publisher's site</a> | |
dc.identifier.issn | 0016-6731 (Linking) | |
dc.identifier.doi | 10.1534/genetics.114.173716 | |
dc.identifier.pmid | 25555988 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/33364 | |
dc.description.abstract | Ends-out gene targeting allows seamless replacement of endogenous genes with engineered DNA fragments by homologous recombination, thus creating designer "genes" in the endogenous locus. Conventional gene targeting in Drosophila involves targeting with the preintegrated donor DNA in the larval primordial germ cells. Here we report G: ene targeting during O: ogenesis with L: ethality I: nhibitor and C: RISPR/Cas (Golic+), which improves on all major steps in such transgene-based gene targeting systems. First, donor DNA is integrated into precharacterized attP sites for efficient flip-out. Second, FLP, I-SceI, and Cas9 are specifically expressed in cystoblasts, which arise continuously from female germline stem cells, thereby providing a continual source of independent targeting events in each offspring. Third, a repressor-based lethality selection is implemented to facilitate screening for correct targeting events. Altogether, Golic+ realizes high-efficiency ends-out gene targeting in ovarian cystoblasts, which can be readily scaled up to achieve high-throughput genome editing. | |
dc.language.iso | en_US | |
dc.relation | <a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=25555988&dopt=Abstract">Link to Article in PubMed</a> | |
dc.relation.url | http://dx.doi.org/10.1534/genetics.114.173716 | |
dc.subject | Genetics and Genomics | |
dc.subject | Neuroscience and Neurobiology | |
dc.title | An enhanced gene targeting toolkit for Drosophila: Golic+ | |
dc.type | Journal Article | |
dc.source.journaltitle | Genetics | |
dc.source.volume | 199 | |
dc.source.issue | 3 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/gsbs_sp/1889 | |
dc.identifier.contextkey | 7457244 | |
html.description.abstract | <p>Ends-out gene targeting allows seamless replacement of endogenous genes with engineered DNA fragments by homologous recombination, thus creating designer "genes" in the endogenous locus. Conventional gene targeting in Drosophila involves targeting with the preintegrated donor DNA in the larval primordial germ cells. Here we report G: ene targeting during O: ogenesis with L: ethality I: nhibitor and C: RISPR/Cas (Golic+), which improves on all major steps in such transgene-based gene targeting systems. First, donor DNA is integrated into precharacterized attP sites for efficient flip-out. Second, FLP, I-SceI, and Cas9 are specifically expressed in cystoblasts, which arise continuously from female germline stem cells, thereby providing a continual source of independent targeting events in each offspring. Third, a repressor-based lethality selection is implemented to facilitate screening for correct targeting events. Altogether, Golic+ realizes high-efficiency ends-out gene targeting in ovarian cystoblasts, which can be readily scaled up to achieve high-throughput genome editing.</p> | |
dc.identifier.submissionpath | gsbs_sp/1889 | |
dc.contributor.department | Graduate School of Biomedical Sciences, Neuroscience Program | |
dc.contributor.department | Lee Lab | |
dc.contributor.department | Neurobiology | |
dc.source.pages | 683-94 | |
dc.contributor.student | Hui-Min Chen | |
dc.description.thesisprogram | Neuroscience |