Back

Profiling Of Y1 Cells Treated With Fgf-2 Reveals Parallels With Oncogene-Induced Senescence

Lund, P. J.; Lopes, M.; Sidoli, S.; Coradin, M.; Vitorino, F. N. d. L.; Chagas da Cunha, J. P.; Garcia, B. A.

2020-08-18 systems biology
10.1101/2020.08.17.247023 bioRxiv
Show abstract

Paradoxically, oncogenes that drive cell cycle progression may also trigger pathways leading to senescence, thereby inhibiting the growth of tumorigenic cells. Along these lines, Y1 cells, which carry an amplification of Ras, become senescent after treatment with the mitogen FGF-2. To understand how FGF-2 promotes senescence, we profiled the epigenome, transcriptome, proteome, and phospho-proteome of Y1 cells stimulated with FGF-2. FGF-2 caused delayed acetylation of histone H4 and higher levels of H3K27me3. Sequencing analysis revealed decreased expression of cell cycle-related genes with concomitant loss of H3K27ac. In contrast, FGF-2 promoted the expression of p21, various cytokines, and MAPK-related genes. Nuclear envelope proteins, particularly lamin B1, displayed increased phosphorylation in response to FGF-2. Proteome analysis suggested alterations in cellular metabolism, as evident by modulated expression of enzymes involved in purine biosynthesis, tRNA aminoacylation, and the TCA cycle. Altogether, the response of Y1 cells to FGF-2 is consistent with oncogene-induced senescence. We propose that Y1 cells enter senescence due to deficient cyclin expression and high levels of p21, which may stem from DNA damage or TGFb signaling.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Aging Cell
144 papers in training set
Top 0.3%
18.6%
2
Cellular and Molecular Life Sciences
84 papers in training set
Top 0.1%
8.4%
3
iScience
1063 papers in training set
Top 1%
6.4%
4
EMBO reports
136 papers in training set
Top 0.2%
6.4%
5
Scientific Reports
3102 papers in training set
Top 28%
4.3%
6
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 2%
3.7%
7
Nature Communications
4913 papers in training set
Top 40%
3.6%
50% of probability mass above
8
Cell Reports
1338 papers in training set
Top 18%
2.7%
9
International Journal of Molecular Sciences
453 papers in training set
Top 4%
2.6%
10
Cells
232 papers in training set
Top 1%
2.1%
11
eLife
5422 papers in training set
Top 36%
2.1%
12
PLOS Genetics
756 papers in training set
Top 9%
1.7%
13
Molecular Biology of the Cell
272 papers in training set
Top 1%
1.7%
14
PLOS Biology
408 papers in training set
Top 11%
1.5%
15
Life Science Alliance
263 papers in training set
Top 0.5%
1.5%
16
Frontiers in Molecular Biosciences
100 papers in training set
Top 2%
1.5%
17
Epigenetics
43 papers in training set
Top 0.5%
1.3%
18
Nucleic Acids Research
1128 papers in training set
Top 13%
1.3%
19
PLOS ONE
4510 papers in training set
Top 58%
1.3%
20
Journal of Cell Science
353 papers in training set
Top 1%
1.3%
21
Cancers
200 papers in training set
Top 4%
1.2%
22
Journal of Biological Chemistry
641 papers in training set
Top 3%
0.9%
23
Open Biology
95 papers in training set
Top 2%
0.8%
24
Brain Research
35 papers in training set
Top 2%
0.8%
25
Cell Death Discovery
51 papers in training set
Top 1%
0.8%
26
Biology Direct
10 papers in training set
Top 0.1%
0.7%
27
GeroScience
97 papers in training set
Top 2%
0.7%
28
Journal of Cell Biology
333 papers in training set
Top 5%
0.6%
29
Molecular Cell
308 papers in training set
Top 11%
0.6%