Variant functional assessment in Drosophila by overexpression: what can we learn?

IF 2.3 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Genome Pub Date : 2024-06-01 Epub Date: 2024-02-27 DOI:10.1139/gen-2023-0135
Yina Her, Danielle M Pascual, Zoe Goldstone-Joubert, Paul C Marcogliese
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引用次数: 0

Abstract

The last decade has been highlighted by the increased use of next-generation DNA sequencing technology to identify novel human disease genes. A critical downstream part of this process is assigning function to a candidate gene variant. Functional studies in Drosophila melanogaster, the common fruit fly, have made a prominent contribution in annotating variant impact in an in vivo system. The use of patient-derived knock-in flies or rescue-based, "humanization", approaches are novel and valuable strategies in variant testing but have been recently widely reviewed. An often-overlooked strategy for determining variant impact has been GAL4/upstream activation sequence-mediated tissue-defined overexpression in Drosophila. This mini-review will summarize the recent contribution of ectopic overexpression of human reference and variant cDNA in Drosophila to assess variant function, interpret the consequence of the variant, and in some cases infer biological mechanisms.

通过过表达评估果蝇的变异功能:我们能学到什么?
近十年来,越来越多地使用新一代 DNA 测序技术来鉴定新型人类疾病基因。这一过程的一个关键下游环节是为候选基因变异赋予功能。在黑腹果蝇(常见的果蝇)中进行的功能研究,为注释变异基因在体内系统中的影响做出了突出贡献。使用源自患者的基因敲入蝇或基于拯救的 "人源化 "方法是变异测试中既新颖又有价值的策略,但最近已被广泛评述。果蝇中 GAL4/UAS 介导的组织定义过表达是确定变异影响的一种经常被忽视的策略。本微型综述将总结果蝇异位过表达人类参考和变异 cDNA 在评估变异功能、解释变异后果以及在某些情况下推断生物机制方面的最新贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Genome
Genome 生物-生物工程与应用微生物
CiteScore
5.30
自引率
3.20%
发文量
42
审稿时长
6-12 weeks
期刊介绍: Genome is a monthly journal, established in 1959, that publishes original research articles, reviews, mini-reviews, current opinions, and commentaries. Areas of interest include general genetics and genomics, cytogenetics, molecular and evolutionary genetics, developmental genetics, population genetics, phylogenomics, molecular identification, as well as emerging areas such as ecological, comparative, and functional genomics.
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