scholarly journals Study of lung cancer regulatory network that involves erbB4 and tumor marker gene

2017 ◽  
Vol 24 (3) ◽  
pp. 649-657 ◽  
Author(s):  
Xuhui Ma ◽  
Lu Li ◽  
Tongde Tian ◽  
Huaimin Liu ◽  
Qiujian Li ◽  
...  
1989 ◽  
Vol 180 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Minoru Imokawa ◽  
Hidetoshi Okabe ◽  
Yukio Ochi ◽  
Yoshihiro Kajita

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e58001 ◽  
Author(s):  
Nan Dai ◽  
Xiao-Jing Cao ◽  
Meng-Xia Li ◽  
Yi Qing ◽  
Ling Liao ◽  
...  

2020 ◽  
Vol 21 (1) ◽  
pp. 1-1
Author(s):  
Kengo Kuriyama ◽  
Takehiko Yokobori ◽  
Makoto Sohda ◽  
Nobuhiro  Nakazawa ◽  
Toshiki  Yajima ◽  
...  

Haigan ◽  
1991 ◽  
Vol 31 (2) ◽  
pp. 207-214
Author(s):  
Noboru Tanio ◽  
Mitsutaka Kadokura ◽  
Toshihiro Takaba

1996 ◽  
Author(s):  
N Silva ◽  
M Costa ◽  
K Madi ◽  
L Barbosa ◽  
S Rosas ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Haixiang Yu ◽  
Lei Xu ◽  
Zhengjia Liu ◽  
Bo Guo ◽  
Zhifeng Han ◽  
...  

Background. The small molecule inhibitor XAV939 could inhibit the proliferation and promote the apoptosis of non-small cell lung cancer (NSCLC) cells. This study was conducted to identify the key circular RNAs (circRNAs) and microRNAs (miRNAs) in XAV939-treated NSCLC cells. Methods. After grouping, the NCL-H1299 cells in the treatment group were treated by 10 μM XAV939 for 12 h. RNA-sequencing was performed, and then the differentially expressed circRNAs (DE-circRNAs) were analyzed by the edgeR package. Using the clusterprofiler package, enrichment analysis for the hosting genes of the DE-circRNAs was performed. Using Cytoscape software, the miRNA-circRNA regulatory network was built for the disease-associated miRNAs and the DE-circRNAs. The DE-circRNAs that could translate into proteins were predicted using circBank database and IRESfinder tool. Finally, the transcription factor (TF)-circRNA regulatory network was built by Cytoscape software. In addition, A549 and HCC-827 cell treatment with XAV939 were used to verify the relative expression levels of key DE-circRNAs. Results. There were 106 DE-circRNAs (including 61 upregulated circRNAs and 45 downregulated circRNAs) between treatment and control groups. Enrichment analysis for the hosting genes of the DE-circRNAs showed that ATF2 was enriched in the TNF signaling pathway. Disease association analysis indicated that 8 circRNAs (including circ_MDM2_000139, circ_ATF2_001418, circ_CDC25C_002079, and circ_BIRC6_001271) were correlated with NSCLC. In the miRNA-circRNA regulatory network, let-7 family members⟶circ_MDM2_000139, miR-16-5p/miR-134-5p⟶circ_ATF2_001418, miR-133b⟶circ_BIRC6_001271, and miR-221-3p/miR-222-3p⟶circ_CDC25C_002079 regulatory pairs were involved. A total of 47 DE-circRNAs could translate into proteins. Additionally, circ_MDM2_000139 was targeted by the TF POLR2A. The verification test showed that the relative expression levels of circ_MDM2_000139, circ_CDC25C_002079, circ_ATF2_001418, and circ_DICER1_000834 in A549 and HCC-827 cell treatment with XAV939 were downregulated comparing with the control. Conclusions. Let-7 family members and POLR2A targeting circ_MDM2_000139, miR-16-5p/miR-134-5p targeting circ_ATF2_001418, miR-133b targeting circ_BIRC6_001271, and miR-221-3p/miR-222-3p targeting circ_CDC25C_002079 might be related to the mechanism in the treatment of NSCLC by XAV939.


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