10.5061/DRYAD.68864
Jermusyk, Ashley
North Carolina State University
Murphy, Nicholas P.
University of Virginia
Reeves, Gregory
North Carolina State University
Data from: Analyzing negative feedback using a synthetic gene network
expressed in the Drosophila melanogaster embryo
Dryad
dataset
2017
synthetic gene networks
negative feedback
canalization
shuttling
National Science Foundation
https://ror.org/021nxhr62
MCB-1413044
2017-08-30T00:00:00Z
2017-08-30T00:00:00Z
en
https://doi.org/10.1186/s12918-016-0330-z
461745065 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Background: A complex network of gene interactions controls gene
regulation throughout development and the life of the organisms. Insights
can be made into these processes by studying the functional interactions
(or “motifs”) which make up these networks. Results: We sought to
understand the functionality of one of these network motifs, negative
feedback, in a multi-cellular system. This was accomplished using a
synthetic network expressed in the Drosophila melanogaster embryo using
the yeast proteins Gal4 (a transcriptional activator) and Gal80 (an
inhibitor of Gal4 activity). This network is able to produce an
attenuation or shuttling phenotype depending on the Gal80/Gal4 ratio. This
shuttling behavior was validated by expressing Gal3, which inhibits Gal80,
to produce a localized increase in free Gal4 and therefore signaling.
Mathematical modeling was used to demonstrate the capacity for negative
feedback to produce these varying outputs. Conclusions: The capacity of a
network motif to exhibit different phenotypes due to minor changes to the
network in multi-cellular systems was shown. This work demonstrates the
importance of studying network motifs in multi-cellular systems.
Gal4x4In this zip folder are the gal4x4 images used to generate the data
in the paper, in Zeiss lsm format. They are sorted into folders and
subfolders by genotype, and named according to the date taken. The Zeiss
lsm format has other metadata (voxel size, image size, etc) associated
with it. The files were analyzed using Matlab code available on the
Reeveslab website.Gal4x2In this zip folder are the gal4x2 images used to
generate the data in the paper, in Zeiss lsm format. They are sorted into
folders and subfolders by genotype, and named according to the date taken.
The Zeiss lsm format has other metadata (voxel size, image size, etc)
associated with it. The files were analyzed using Matlab code available on
the Reeveslab website.Gal3In this zip folder are the gal3 images used to
generate the data in the paper, in Zeiss lsm format. They are sorted into
folders and subfolders by genotype, and named according to the date taken.
The Zeiss lsm format has other metadata (voxel size, image size, etc)
associated with it. The files were analyzed using Matlab code available on
the Reeveslab website.