Back

Context dependent activation/repression by Hunchback binding sites in Drosophila embryo

Ceolin, S.; Hanf, M.; Schnepf, M.; Jung, C.; Unnerstall, U.; Gaul, U.

2020-10-21 developmental biology
10.1101/2020.10.21.348722 bioRxiv
Show abstract

Hunchback (Hb) is considered a context-dependent transcription factor, able to activate or repress different enhancers during Drosophila embryo segmentation. The mechanism driving the contextdependent activity of Hb is however not well understood. Here we measure the activity of a large set of 20 synthetic enhancers that we design to elucidate the effect of Hb binding sites in Drosophila segmentation. We obtain quantitative data on the spatiotemporal dynamics of activity of all synthetic enhancers in-vivo, by using a quantitative and sensitive reporter system we recently developed. Our data reveal the dual role of Hb binding sites in segmentation enhancers: on the one hand, Hb act as a typical short range repressor by binding to its cognate sequences; on the other hand, we report a novel effect of a sequence containing multiple Hb binding sites, which is able to increase enhancer activity independently from Hb binding. This sequence, which contains multiple Poly-dA stretches, increases the activity of enhancers driven by different activators, possibly by disfavoring nucleosome occupancy. AUTHOR SUMMARYThe control of gene expression is a fundamental process that allows cells to respond to external stimuli and take on various identities in complex organisms. Enhancers are DNA sequences that play a key role in this process. In the simplest model of an enhancer, small parts of its sequence can be specifically bound by proteins called transcription factors and the occupancy pattern of these proteins on the enhancer determines the expression level of a specific gene. In this research work we have studied enhancers in the context of the development of a fruit fly embryo. We have built synthetic enhancer sequences containing binding sites for a few specific factors and measured their activity in living embryos using fluorescence microscopy. Our results revealed that binding sites for a particular protein, Hunchback, are able to influence the activity of the enhancer even independently from Hunchback binding to them. This discovery might help to explain the complex effects that have been observed when studying Hunchback binding sites in natural enhancers.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 3%
14.1%
2
Gene
41 papers in training set
Top 0.1%
12.1%
3
PLOS ONE
4510 papers in training set
Top 20%
9.9%
4
PLOS Genetics
756 papers in training set
Top 3%
6.2%
5
PLOS Computational Biology
1633 papers in training set
Top 7%
4.8%
6
G3 Genes|Genomes|Genetics
351 papers in training set
Top 0.6%
3.9%
50% of probability mass above
7
Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms
14 papers in training set
Top 0.1%
3.5%
8
Epigenetics & Chromatin
42 papers in training set
Top 0.1%
2.0%
9
Biophysical Journal
545 papers in training set
Top 3%
1.9%
10
BMC Bioinformatics
383 papers in training set
Top 4%
1.9%
11
Genes
126 papers in training set
Top 1%
1.7%
12
Journal of Molecular Biology
217 papers in training set
Top 2%
1.7%
13
Biology Open
130 papers in training set
Top 1%
1.7%
14
Frontiers in Neuroscience
223 papers in training set
Top 5%
1.5%
15
Genetics
225 papers in training set
Top 3%
1.5%
16
Open Biology
95 papers in training set
Top 1.0%
1.3%
17
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 6%
1.3%
18
Biosystems
18 papers in training set
Top 0.3%
1.2%
19
Brain Sciences
52 papers in training set
Top 1%
1.2%
20
Frontiers in Genetics
197 papers in training set
Top 8%
0.9%
21
Genes to Cells
23 papers in training set
Top 0.2%
0.9%
22
Physical Review E
95 papers in training set
Top 1%
0.9%
23
Epigenetics
43 papers in training set
Top 0.8%
0.9%
24
Nucleic Acids Research
1128 papers in training set
Top 16%
0.9%
25
International Journal of Molecular Sciences
453 papers in training set
Top 15%
0.8%
26
Molecular and Cellular Biology
40 papers in training set
Top 0.3%
0.8%
27
BMC Research Notes
29 papers in training set
Top 0.6%
0.7%
28
Physical Biology
43 papers in training set
Top 2%
0.7%
29
Cells
232 papers in training set
Top 7%
0.7%
30
Computational and Structural Biotechnology Journal
216 papers in training set
Top 10%
0.7%