A semantics-oriented computational approach to investigate microRNA regulation on glucocorticoid resistance in pediatric acute lymphoblastic leukemia.
A semantics-oriented computational approach to investigate microRNA regulation on glucocorticoid resistance in pediatric acute lymphoblastic leukemia.
复制标题
一种以语义为导向的计算方法,用于研究小儿急性淋巴细胞白血病中糖皮质激素耐药性的microRNA调节。
DOI:
10.1186/s12911-018-0637-3
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发表时间:
2018-07-23
影响因子:
3.5
通讯作者:
Huang J
中科院分区:
文献类型:
--
作者:
Chen H;Zhang D;Zhang G;Li X;Liang Y;Kasukurthi MV;Li S;Borchert GM;Huang J
Acute lymphoblastic leukemia is the most prevalent neoplasia among children. Despite the tremendous achievements of state-of-the-art treatment strategies, drug resistance is still a major cause of chemotherapy failure leading to relapse in pediatric acute lymphoblastic leukemia. The underlying mechanisms of such phenomenon are not yet clear and subject to further exploration. Prior research has shown that microRNAs can act as post-transcriptional regulators of many genes related to drug resistance. However, details of microRNA regulation mechanisms in pediatric acute lymphoblastic leukemia are far from completely understood. We utilized a computational approach based upon emerging biomedical and biological ontologies and semantic technologies to investigate the important roles of microRNA: mRNA regulation on glucocorticoid resistance in pediatric acute lymphoblastic leukemia. In particular, various filtering mechanisms were designed based on the user-provided MeSH term to narrow down the most promising microRNAs in an effective manner. During our manual search on background literature, we found a total of 18 candidate microRNAs that possibly regulate glucocorticoid resistance in pediatric acute lymphoblastic leukemia. After the first-round filtering using the Broader-Match option where both the user-provided MeSH term and its direct parent term were utilized, the number of targets for 18 microRNAs was reduced from 232 to 74. During the second-round filtering with the Exact-Match option where only the MeSH term itself was utilized, the number of targets was further reduced to 19. Finally, we conducted semantic searches in the OmniSearch software tool on the five likely regulating microRNAs and identified two most likely microRNAs. We successfully identified two microRNAs, hsa-miR-142-3p and hsa-miR-17-5p, which are computationally predicted to closely relate to glucocorticoid resistance, thus potentially serving as novel biomarkers and therapeutic targets in pediatric acute lymphoblastic leukemia.
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影响因子:
3.5
作者:
Han BW;Feng DD;Li ZG;Luo XQ;Zhang H;Li XJ;Zhang XJ;Zheng LL;Zeng CW;Lin KY;Zhang P;Xu L;Chen YQ
通讯作者:
Chen YQ
影响因子:
2.6
作者:
Harada, Masako;Pokrovskaja-Tamm, Katja;Corcoran, Martin
通讯作者:
Corcoran, Martin
影响因子:
2.6
作者:
Yang, Apeng;Ma, Jiexian;Xie, Yanhui
通讯作者:
Xie, Yanhui
影响因子:
11.4
作者:
Rainer, J.;Ploner, C.;Kofler, R.
通讯作者:
Kofler, R.
影响因子:
20.3
作者:
Kotani, Ai;Ha, Daon;Lodish, Harvey F.
通讯作者:
Lodish, Harvey F.