Literature DB >> 35980582

Tagging Drosophila Proteins with Genetically Encoded Fluorophores.

Jerome Avellaneda1, Frank Schnorrer2.   

Abstract

Proteins are typically not expressed homogeneously in all cells of a complex organism. Within cells, proteins can dynamically change locations, be transported to their destinations, or be degraded upon external signals. Thus, revealing the cellular and subcellular localizations as well as the temporal dynamics of a protein provides important insights into the possible function of the studied protein. Tagging a protein of interest with a genetically encoded fluorophore enables us to follow its expression dynamics in the living organism. Here, we summarize the genetic resources available for tagged Drosophila proteins that assist in studying protein expression and dynamics. We also review the various techniques used in the past and at present to tag a protein of interest with a genetically encoded fluorophore. Comparing the pros and cons of the various techniques guides the reader to judge the suitable applications possible with these tagged proteins in Drosophila.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  CRISPR-Cas9; Drosophila; GFP; Imaging; Recombineering; Tagging

Mesh:

Substances:

Year:  2022        PMID: 35980582     DOI: 10.1007/978-1-0716-2541-5_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  52 in total

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4.  A Drosophila resource of transgenic RNAi lines for neurogenetics.

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Authors:  T H Morgan
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Journal:  Nature       Date:  2010-03-11       Impact factor: 49.962

Review 7.  The Heidelberg Screen for Pattern Mutants of Drosophila: A Personal Account.

Authors:  Eric Wieschaus; Christiane Nüsslein-Volhard
Journal:  Annu Rev Cell Dev Biol       Date:  2016-08-03       Impact factor: 13.827

8.  A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila.

Authors:  Georg Dietzl; Doris Chen; Frank Schnorrer; Kuan-Chung Su; Yulia Barinova; Michaela Fellner; Beate Gasser; Kaolin Kinsey; Silvia Oppel; Susanne Scheiblauer; Africa Couto; Vincent Marra; Krystyna Keleman; Barry J Dickson
Journal:  Nature       Date:  2007-07-12       Impact factor: 49.962

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Authors:  C Nüsslein-Volhard; E Wieschaus
Journal:  Nature       Date:  1980-10-30       Impact factor: 49.962

10.  Global analysis of patterns of gene expression during Drosophila embryogenesis.

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Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

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