Literature DB >> 22949708

Genetic systems for functional cell ablation in Drosophila.

Sean T Sweeney, Alicia Hidalgo, J Steven de Belle, Haig Keshishian.   

Abstract

The selective removal of cells by ablation is a powerful tool in the study of eukaryotic developmental biology, providing much information about the origin, fate, or function of these cells in the developing organism. In Drosophila, three main methods have been used to ablate cells: chemical, genetic, and laser ablation. Each method has its own applicability with regard to developmental stage and the cells to be ablated, and its own limitations. This article describes genetic systems for functional cell ablation in Drosophila. Genetic ablation consists of delivering a toxin or death-inducing gene under the control of a cell-specific enhancer, or by means of the GAL4 system. Because of the wide range of existing enhancers, toxins and death genes can be targeted to virtually any cell of choice, allowing for cell-type-specificity. Genetic ablation is less expensive and less labor-intensive than laser ablation. It allows one to analyze the effects of eliminating every cell of a given type within an embryo, and also allows the examination of populations rather than individuals.

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Year:  2012        PMID: 22949708     DOI: 10.1101/pdb.top068361

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  3 in total

1.  Precision Optogenetic Tool for Selective Single- and Multiple-Cell Ablation in a Live Animal Model System.

Authors:  Kalpana Makhijani; Tsz-Leung To; Rubén Ruiz-González; Céline Lafaye; Antoine Royant; Xiaokun Shu
Journal:  Cell Chem Biol       Date:  2017-01-05       Impact factor: 8.116

Review 2.  Blue-Light Receptors for Optogenetics.

Authors:  Aba Losi; Kevin H Gardner; Andreas Möglich
Journal:  Chem Rev       Date:  2018-07-09       Impact factor: 60.622

3.  Induction of rapid and selective cell necrosis in Drosophila using Bacillus thuringiensis Cry toxin and its silkworm receptor.

Authors:  Fumiaki Obata; Shiho Tanaka; Soshiro Kashio; Hidenobu Tsujimura; Ryoichi Sato; Masayuki Miura
Journal:  BMC Biol       Date:  2015-07-08       Impact factor: 7.431

  3 in total

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