{"title":"A Genetic Toolkit for Simultaneous Generation of <i>LexA</i>- and <i>QF</i>-Expressing Clones in Selected Cell Types in <i>Drosophila</i>.","authors":"Kota Banzai, Ping Shen, Daichi Kamiyama","doi":"10.1177/26331055211069939","DOIUrl":null,"url":null,"abstract":"<p><p>Visualization and manipulation of defined motoneurons have provided significant insights into how motor circuits are assembled in <i>Drosophila</i>. A conventional approach for molecular and cellular analyses of subsets of motoneurons involves the expression of a wide range of <i>UAS</i> transgenes using available <i>GAL4</i> drivers (eg, <i>eve</i> promoter-fused <i>GAL4</i>). However, a more powerful toolkit could be one that enables a single-cell characterization of interactions between neurites from neurons of interest. Here we show the development of a <i>UAS > LexA > QF</i> expression system to generate randomly selected neurons expressing one of the 2 binary expression systems. As a demonstration, we apply it to visualize dendrite-dendrite interactions by genetically labeling <i>eve</i> <sup>+</sup> neurons with distinct fluorescent reporters.</p>","PeriodicalId":36527,"journal":{"name":"Neuroscience Insights","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/4b/99/10.1177_26331055211069939.PMC8796102.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/26331055211069939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Visualization and manipulation of defined motoneurons have provided significant insights into how motor circuits are assembled in Drosophila. A conventional approach for molecular and cellular analyses of subsets of motoneurons involves the expression of a wide range of UAS transgenes using available GAL4 drivers (eg, eve promoter-fused GAL4). However, a more powerful toolkit could be one that enables a single-cell characterization of interactions between neurites from neurons of interest. Here we show the development of a UAS > LexA > QF expression system to generate randomly selected neurons expressing one of the 2 binary expression systems. As a demonstration, we apply it to visualize dendrite-dendrite interactions by genetically labeling eve+ neurons with distinct fluorescent reporters.