Back

PBX1 and PBX3 transcription factors regulate SHH expression in the Frontonasal Ectodermal Zone through complementary mechanisms

Mok, C. H.; Hu, D.; Losa, M.; Risolino, M.; Selleri, L.; Marcucio, R.

2024-06-05 developmental biology
10.1101/2024.06.04.597450 bioRxiv
Show abstract

Sonic hedgehog (SHH) signaling from the frontonasal ectodermal zone (FEZ) is a key regulator of craniofacial morphogenesis. Along with SHH, pre-B-cell leukemia homeobox (PBX) transcription factors regulate midfacial development. PBXs act in the epithelium during fusion of facial primordia, but their specific interactions with SHH have not been fully investigated. We hypothesized that PBX1/3 regulate SHH expression in the FEZ by activating or repressing transcription. The hypothesis was tested by manipulating PBX1/3 expression in chick embryos and profiling epigenomic landscapes at early developmental stages. PBX1/3 expression was perturbed in the chick face beginning at stage 10 (HH10) using RCAS viruses, and the resulting SHH expression was assessed at HH22. Overexpressing PBX1 expanded SHH expression, while overexpressing PBX3 decreased SHH expression. Conversely, reducing PBX1 expression decreased SHH expression, but reducing PBX3 induced ectopic SHH expression. We performed ATAC-seq and mapped binding of PBX1 and PBX3 with ChIP-seq on the FEZ at HH22 to assess direct interactions of PBX1/3 with the SHH locus. These multi-omics approaches uncovered a 400 bp PBX1-enriched element within intron 1 of SHH (chr2:8,173,222-8,173,621). Enhancer activity of this element was demonstrated by electroporation of reporter constructs in ovo and luciferase reporter assays in vitro. When bound by PBX1, this element upregulates transcription, while it downregulates transcription when bound by PBX3. The present study identifies a cis-regulatory element, named SFE1, that interacts with PBX1/3 to modulate SHH expression in the FEZ and establishes that PBX1 and PBX3 play complementary roles in SHH regulation during embryonic development.

Matching journals

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

1
PLOS Genetics
862 papers in training set
Top 0.6%
12.8%
2
PLOS ONE
5266 papers in training set
Top 16%
11.8%
3
Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms
15 papers in training set
Top 0.1%
9.7%
4
eLife
5828 papers in training set
Top 17%
6.7%
5
Developmental Biology
150 papers in training set
Top 0.3%
6.7%
6
BMC Genomics
406 papers in training set
Top 1%
4.8%
50% of probability mass above
7
Scientific Reports
3612 papers in training set
Top 24%
4.3%
8
International Journal of Molecular Sciences
494 papers in training set
Top 4%
3.2%
9
Cells
249 papers in training set
Top 1%
3.1%
10
Development
497 papers in training set
Top 3%
2.4%
11
Biology Open
156 papers in training set
Top 1%
2.1%
12
Epigenetics & Chromatin
42 papers in training set
Top 0.3%
1.9%
13
The FEBS Journal
93 papers in training set
Top 0.7%
1.7%
14
Genes
144 papers in training set
Top 2%
1.7%
15
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 3%
1.5%
16
Genes to Cells
25 papers in training set
Top 0.3%
1.4%
17
PLOS Biology
486 papers in training set
Top 7%
1.3%
18
Open Biology
106 papers in training set
Top 1%
1.1%
19
The FASEB Journal
194 papers in training set
Top 4%
1.1%
20
Cellular and Molecular Life Sciences
96 papers in training set
Top 1%
1.1%
21
iScience
1154 papers in training set
Top 26%
1.1%
22
BMC Biology
265 papers in training set
Top 3%
1.1%
23
Journal of Molecular Biology
232 papers in training set
Top 3%
1.1%
24
Genomics, Proteomics & Bioinformatics
172 papers in training set
Top 2%
1.0%
25
Epigenetics
50 papers in training set
Top 0.5%
1.0%
26
Genomics
64 papers in training set
Top 2%
0.8%
27
Communications Biology
993 papers in training set
Top 31%
0.8%
28
Molecular and Cellular Biology
47 papers in training set
Top 1%
0.6%
29
Genome Biology
637 papers in training set
Top 10%
0.6%