Back

The presence of a G4 prone sequence upstream of a minimal promoter increases transcriptional activity in the yeast S. cerevisiae

Kratochvilova, L.; Vojsovic, M.; Valkova, N.; Sislerova, L.; El Rashed, Z.; Inga, A.; Monti, P.; Brazda, V.

2023-06-26 cancer biology
10.1101/2023.06.23.546269 bioRxiv
Show abstract

Non-canonical secondary structures in DNA are increasingly being revealed as critical players in DNA metabolism, including modulating the accessibility and activity of promoters. These structures comprise the so-called G-quadruplexes (G4s) that are formed from sequences rich in guanine bases. Using a well-defined transcriptional reporter system, we sought to systematically investigate the impact of the presence of G4 structures on transcription in yeast S. cerevisiae. To this aim, different G4 prone sequences were modeled to vary the chance of intramolecular G4 formation, analyzed in vitro by Thioflavin T binding test and circular dichroism and then placed at the yeast ADE2 locus on chromosome XV, downstream and adjacent to a P53 response element (RE) and upstream from a minimal CYC1 promoter and Luciferase 1 (LUC1) reporter gene in isogenic strains. While the minimal CYC1 promoter provides for basal reporter activity, the P53 RE enables LUC1 transactivation under the control of the human P53 family proteins expressed under the inducible GAL1 promoter. Thus, the impact of the different G4 prone sequences on both basal and P53 family proteins dependent expression was measured after shifting the yeast cells onto galactose containing medium. The results showed that the presence of G4 prone sequences upstream of a yeast minimal promoter can increase its basal activity proportionally to their potential to form intramolecular G4 structures; consequently, this improved accessibility, when present near the target binding site of P53 family transcription factors can be exploited in order to regulate the transcriptional activity of P53, P63 and P73 proteins.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 4%
12.3%
2
PLOS ONE
4510 papers in training set
Top 24%
7.2%
3
Oncotarget
15 papers in training set
Top 0.1%
4.3%
4
Molecules
37 papers in training set
Top 0.1%
4.2%
5
International Journal of Molecular Sciences
453 papers in training set
Top 2%
4.0%
6
Computational and Structural Biotechnology Journal
216 papers in training set
Top 2%
3.6%
7
Nucleic Acids Research
1128 papers in training set
Top 6%
3.6%
8
Genes
126 papers in training set
Top 0.4%
2.9%
9
Biochemistry and Biophysics Reports
28 papers in training set
Top 0.2%
2.4%
10
International Journal of Biological Macromolecules
65 papers in training set
Top 1%
2.4%
11
Biochimica et Biophysica Acta (BBA) - General Subjects
16 papers in training set
Top 0.1%
2.1%
12
Epigenetics
43 papers in training set
Top 0.3%
1.9%
50% of probability mass above
13
Frontiers in Molecular Biosciences
100 papers in training set
Top 1%
1.9%
14
Cancers
200 papers in training set
Top 3%
1.7%
15
Molecular and Cellular Biology
40 papers in training set
Top 0.1%
1.7%
16
DNA Repair
17 papers in training set
Top 0.1%
1.7%
17
PLOS Computational Biology
1633 papers in training set
Top 19%
1.3%
18
Biochimica et Biophysica Acta (BBA) - Molecular Cell Research
28 papers in training set
Top 0.3%
1.3%
19
Frontiers in Genetics
197 papers in training set
Top 6%
1.3%
20
Journal of Biological Chemistry
641 papers in training set
Top 2%
1.3%
21
Cells
232 papers in training set
Top 4%
1.2%
22
RNA Biology
70 papers in training set
Top 0.3%
1.2%
23
Biomolecules
95 papers in training set
Top 1.0%
1.2%
24
BMC Cancer
52 papers in training set
Top 2%
1.2%
25
Biochemistry
130 papers in training set
Top 1%
0.9%
26
Computational Biology and Chemistry
23 papers in training set
Top 0.3%
0.9%
27
Epigenetics & Chromatin
42 papers in training set
Top 0.2%
0.9%
28
Physical Biology
43 papers in training set
Top 2%
0.8%
29
Biochemical Journal
80 papers in training set
Top 0.3%
0.7%
30
The FEBS Journal
78 papers in training set
Top 1.0%
0.7%