MicroRNA and transcription factor co-regulatory network analysis reveals miR-19 inhibits CYLD in T-cell acute lymphoblastic leukemia.
MicroRNA and transcription factor co-regulatory network analysis reveals miR-19 inhibits CYLD in T-cell acute lymphoblastic leukemia.
复制标题
MicroRNA和转录因子共调控网络分析揭示miR-19抑制T细胞急性淋巴细胞白血病中的CYLD
DOI:
10.1093/nar/gks175
复制
发表时间:
2012-07
影响因子:
14.9
通讯作者:
Guo AY
中科院分区:
文献类型:
--
作者:
Ye H;Liu X;Lv M;Wu Y;Kuang S;Gong J;Yuan P;Zhong Z;Li Q;Jia H;Sun J;Chen Z;Guo AY
T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematological malignancy. The understanding of its gene expression regulation and molecular mechanisms still remains elusive. Started from experimentally verified T-ALL-related miRNAs and genes, we obtained 120 feed-forward loops (FFLs) among T-ALL-related genes, miRNAs and TFs through combining target prediction. Afterwards, a T-ALL miRNA and TF co-regulatory network was constructed, and its significance was tested by statistical methods. Four miRNAs in the miR-17–92 cluster and four important genes (CYLD, HOXA9, BCL2L11 and RUNX1) were found as hubs in the network. Particularly, we found that miR-19 was highly expressed in T-ALL patients and cell lines. Ectopic expression of miR-19 represses CYLD expression, while miR-19 inhibitor treatment induces CYLD protein expression and decreases NF-κB expression in the downstream signaling pathway. Thus, miR-19, CYLD and NF-κB form a regulatory FFL, which provides new clues for sustained activation of NF-κB in T-ALL. Taken together, we provided the first miRNA-TF co-regulatory network in T-ALL and proposed a model to demonstrate the roles of miR-19 and CYLD in the T-cell leukemogenesis. This study may provide potential therapeutic targets for T-ALL and shed light on combining bioinformatics with experiments in the research of complex diseases.
登录
查看更多内容
影响因子:
56.9
作者:
Kim, Jongpil;Inoue, Keiichi;Abeliovich, Asa
通讯作者:
Abeliovich, Asa
影响因子:
14.9
作者:
Griffiths-Jones, Sam;Saini, Harpreet Kaur;van Dongen, Stijn;Enright, Anton J.
通讯作者:
Enright, Anton J.
影响因子:
20.3
作者:
Gutierrez, Alejandro;Sanda, Takaomi;Look, A. Thomas
通讯作者:
Look, A. Thomas
影响因子:
14.9
作者:
Betel D;Wilson M;Gabow A;Marks DS;Sander C
通讯作者:
Sander C
影响因子:
3.6
作者:
Lappas, M;Permezel, M;Rice, GE
通讯作者:
Rice, GE