Abstract

The gene regulatory network governing anterior–posterior axis formation in Drosophila is a well-established paradigm to study transcription in developmental biology. The rapid temporal dynamics of gene expression during early stages of development, however, are difficult to track with standard techniques. We optimized the bright and fast-maturing fluorescent protein mNeonGreen as a real-time, quantitative reporter of enhancer expression. We derive enhancer activity from the reporter fluorescence dynamics with high spatial and temporal resolution, using a robust reconstruction algorithm. By comparing our results with data obtained with the established MS2-MCP system, we demonstrate the higher detection sensitivity of our reporter. We used the reporter to quantify the activity of variants of a simple synthetic enhancer, and observe increased activity upon reduction of enhancer–promoter distance or addition of binding sites for the pioneer transcription factor Zelda. Our reporter system constitutes a powerful tool to study spatio-temporal gene expression dynamics in live embryos.

Ceolin et al. optimise the fluorescent protein mNeonGreen to generate a reporter to measure enhancer expression in living Drosophila embryos. They also find that reduced enhancer–promoter distance or addition of binding sites for the pioneer transcription factor Zelda increases enhancer activity.

Details

Title
A sensitive mNeonGreen reporter system to measure transcriptional dynamics in Drosophila development
Author
Ceolin Stefano 1 ; Hanf Monika 1 ; Bozek, Marta 1   VIAFID ORCID Logo  ; Storti, Andrea Ennio 1 ; Gompel Nicolas 2   VIAFID ORCID Logo  ; Unnerstall Ulrich 1 ; Jung, Christophe 1   VIAFID ORCID Logo  ; Gaul Ulrike 1 

 Gene Center and Department of Biochemistry, Center for Protein Science Munich (CIPSM), Ludwig-Maximilians-Universität München, München, Germany (GRID:grid.5252.0) (ISNI:0000 0004 1936 973X) 
 Faculty of Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany (GRID:grid.5252.0) (ISNI:0000 0004 1936 973X) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2471560848
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.