Back

JAG1 intracellular domain acts as a transcriptional cofactor that forms an oncogenic transcriptional complex with DDX17/SMAD3/TGIF2

Kim, E.-J.; Kim, J. Y.; Kim, S.-O.; Ham, S. W.; Choi, S.-H.; Hong, N.; Park, M. G.; Jang, J.; Seo, S.; Lee, K.; Jeong, H. J.; Kim, S. J.; Jeong, S.; Min, K.; Kim, S.-C.; Jin, X.; Kim, S. H.; Kim, S.-H.; Kim, H.

2021-03-31 molecular biology
10.1101/2021.03.31.437839 bioRxiv
Show abstract

Jagged1 (JAG1) is a Notch ligand that contact-dependently activates Notch receptors and regulates cancer progression. The JAG1 intracellular domain (JICD1) is generated from JAG1, such as the formation of NOTCH1 intracellular domain (NICD1), however, the role of JICD1 in tumorigenicity has not been comprehensively elucidated. Herein, we revealed that JICD1 induced astrocytes to acquire several cancer stem cell properties, including tumor formation, invasiveness, stemness, and resistance to chemotherapy and radiotherapy. The transcriptome, ChIP-sequencing, and proteomic analyses revealed that JICD1 increased SOX2 expression by forming a transcriptional complex with DDX17, SMAD3, and TGIF2. Furthermore, JICD1-driven tumorigenicity was directly regulated by SOX2. Therefore, our results demonstrated that, like NICD1, JICD1 acts as a transcriptional cofactor in the formation of the DDX17/SMAD3/TGIF2 transcriptional complex, leading to oncogenic transformation.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Nature Communications
○ 5641 papers in training set
Top 3%
30.7%
Similar papers in this journal
2
eLife
● 5828 papers in training set
Top 16%
7.2%
Similar papers in this journal
3
Cell Reports
○ 1498 papers in training set
Top 7%
5.4%
Similar papers in this journal
4
Communications Biology
○ 993 papers in training set
Top 3%
4.3%
Similar papers in this journal
5
Scientific Reports
○ 3612 papers in training set
Top 33%
3.2%
Similar papers in this journal
50% of probability mass above
6
Cell Discovery
○ 57 papers in training set
Top 0.3%
2.8%
7
Science Advances
● 1243 papers in training set
Top 14%
2.6%
8
EMBO Reports
○ 263 papers in training set
Top 2%
2.6%
9
Experimental & Molecular Medicine
○ 14 papers in training set
Top 0.1%
2.4%
10
iScience
○ 1154 papers in training set
Top 16%
1.9%
11
Protein & Cell
◐ 25 papers in training set
Top 0.2%
1.7%
12
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 28%
1.7%
13
Nucleic Acids Research
◐ 1281 papers in training set
Top 9%
1.7%
14
Advanced Science
○ 286 papers in training set
Top 5%
1.7%
15
Clinical and Translational Medicine
○ 31 papers in training set
Top 0.4%
1.7%
16
Molecular Cell
○ 350 papers in training set
Top 3%
1.5%
17
Cell Death & Disease
147 papers in training set
Top 3%
1.1%
18
Genes & Development
● 90 papers in training set
Top 1%
1.1%
19
Cell Research
○ 51 papers in training set
Top 0.9%
1.1%
20
Life Science Alliance
● 285 papers in training set
Top 6%
1.0%
21
Journal of Biological Chemistry
○ 690 papers in training set
Top 10%
0.8%
22
Cells
○ 249 papers in training set
Top 7%
0.8%
23
Science Bulletin
○ 21 papers in training set
Top 0.4%
0.8%
24
Molecular and Cellular Biology
○ 47 papers in training set
Top 0.8%
0.8%
25
Cell Proliferation
○ 12 papers in training set
Top 0.3%
0.8%
26
EMBO Molecular Medicine
○ 95 papers in training set
Top 3%
0.6%
27
Oncogenesis
○ 12 papers in training set
Top 0.5%
0.6%
28
Science China Life Sciences
○ 29 papers in training set
Top 0.7%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.