{"title":"Studies of neurodegenerative diseases using <i>Drosophila</i> and the development of novel approaches for their analysis.","authors":"Yohei Nitta, Atsushi Sugie","doi":"10.1080/19336934.2022.2087484","DOIUrl":null,"url":null,"abstract":"<p><p>The use of <i>Drosophila</i> in neurodegenerative disease research has contributed to the identification of modifier genes for the pathology. The basis for neurodegenerative disease occurrence in <i>Drosophila</i> is the conservation of genes across species and the ability to perform rapid genetic analysis using a compact brain. Genetic findings previously discovered in <i>Drosophila</i> can reveal molecular pathologies involved in human neurological diseases in later years. Disease models using <i>Drosophila</i> began to be generated during the development of genetic engineering. In recent years, results of reverse translational research using <i>Drosophila</i> have been reported. In this review, we discuss research on neurodegenerative diseases; moreover, we introduce various methods for quantifying neurodegeneration in <i>Drosophila</i>.</p>","PeriodicalId":12128,"journal":{"name":"Fly","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336468/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fly","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/19336934.2022.2087484","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The use of Drosophila in neurodegenerative disease research has contributed to the identification of modifier genes for the pathology. The basis for neurodegenerative disease occurrence in Drosophila is the conservation of genes across species and the ability to perform rapid genetic analysis using a compact brain. Genetic findings previously discovered in Drosophila can reveal molecular pathologies involved in human neurological diseases in later years. Disease models using Drosophila began to be generated during the development of genetic engineering. In recent years, results of reverse translational research using Drosophila have been reported. In this review, we discuss research on neurodegenerative diseases; moreover, we introduce various methods for quantifying neurodegeneration in Drosophila.
期刊介绍：
Fly is the first international peer-reviewed journal to focus on Drosophila research. Fly covers a broad range of biological sub-disciplines, ranging from developmental biology and organogenesis to sensory neurobiology, circadian rhythm and learning and memory, to sex determination, evolutionary biology and speciation. We strive to become the “to go” resource for every researcher working with Drosophila by providing a forum where the specific interests of the Drosophila community can be discussed. With the advance of molecular technologies that enable researchers to manipulate genes and their functions in many other organisms, Fly is now also publishing papers that use other insect model systems used to investigate important biological questions.
Fly offers a variety of papers, including Original Research Articles, Methods and Technical Advances, Brief Communications, Reviews and Meeting Reports. In addition, Fly also features two unconventional types of contributions, Counterpoints and Extra View articles. Counterpoints are opinion pieces that critically discuss controversial papers questioning current paradigms, whether justified or not. Extra View articles, which generally are solicited by Fly editors, provide authors of important forthcoming papers published elsewhere an opportunity to expand on their original findings and discuss the broader impact of their discovery. Extra View authors are strongly encouraged to complement their published observations with additional data not included in the original paper or acquired subsequently.
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