Identification and bioinformatics analysis of overlapping differentially expressed genes in depression, papillary thyroid cancer and uterine fibroids.
Identification and bioinformatics analysis of overlapping differentially expressed genes in depression, papillary thyroid cancer and uterine fibroids.
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抑郁症、甲状腺乳头状癌和子宫肌瘤重叠差异表达基因的鉴定及生物信息学分析
DOI：
10.3892/etm.2018.6023
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发表时间：
2018-06
影响因子：
2.7
通讯作者：
Zhang Y
中科院分区：
文献类型：
--
作者：
Tang H;Zhang Y
据推测，不同疾病的基因调控网络之间可能存在共同的特征。为了确定这些潜在的相似性，重叠差异表达基因（DEG）在几种疾病，这被认为是在传统的中医药（TCM）的分析进行了本研究。利用基因表达Omnibus 2 R工具对抑郁症、甲状腺乳头状癌（PTC）和子宫肌瘤（UF）相关基因表达谱进行了初步分析。对抑郁症、PTC和UF中重叠DEG进行基因本体富集分析、京都基因百科全书和基因组途径分析和蛋白质-蛋白质相互作用网络分析。结果提示，转录激活因子3、WSC结构域2、磷脂酰肌醇3激酶/蛋白激酶B信号通路及其下游效应子等多个基因可能是抑郁症、PTC和/或UF的共同致病因子。下丘脑-垂体-卵巢轴和下丘脑-垂体-甲状腺轴的神经内分泌功能也被确定为与抑郁、PTC和/或UF相互关联。然而，由于DNA微量分析的局限性，建议未来的研究将表观遗传学考虑在内。还需要对抑郁症、PTC和UF进行进一步的转录组学、甲基化组学和代谢组学分析，以确定和阐明关键的相关生物标志物。总之，目前的研究结果揭示了抑郁症，PTC和UF之间潜在的遗传相互联系，这可能有助于了解其潜在的协同调节机制，并有助于基于生物信息学预测的顺势疗法的发展。
It is hypothesized that there may be common characteristics between the genetic regulatory networks of different diseases. To identify these potential similarities, analysis of overlapping differentially expressed genes (DEGs) in several diseases, which are believed to be associated in traditional Chinese medicine (TCM) was performed in the present study. The gene expression profiles associated with depression, papillary thyroid carcinoma (PTC) and uterine fibroids (UF) were preliminarily analyzed using Gene Expression Omnibus 2R tools. Gene Ontology enrichment analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis and protein-protein interaction network analysis of the overlapping DEGs in depression, PTC and UF was performed. The results indicated that multiple genes, including activating transcription factor 3 and WSC domain containing 2 and the phosphoinositide 3 kinase/protein kinase b signaling pathway and its downstream effectors may be common factors associated with depression, PTC and/or UF. The neuroendocrine functions of the hypothalamic-pituitary-ovarian axis and hypothalamic-pituitary-thyroid axis were also identified as being mutually associated with depression, PTC and/or UF. However, due to the limitations of DNA microassays, it is recommended that future studies take epigenetics into consideration. Further transcriptomic, methylomic and metabolomic analyses of depression, PTC and UF are also required to identify and elucidate the key associated biomarkers. In conclusion, the results of the current study shed light on the potential genetic interconnections between depression, PTC and UF, which may be beneficial for understanding their underlying coregulatory mechanisms and contributing to the development of homeotherapy based on bioinformatics prediction.
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影响因子：
14.9
作者：
Kanehisa M;Goto S;Sato Y;Furumichi M;Tanabe M
通讯作者：
Tanabe M
影响因子：
16.6
作者：
Cui, Hongmei;Guo, Mingxiong;Xu, Dong;Ding, Zhi-Chun;Zhou, Gang;Ding, Han-Fei;Zhang, Junran;Tang, Yi;Yan, Chunhong
通讯作者：
Yan, Chunhong
影响因子：
6.6
作者：
Morris, Luc G. T.;Sikora, Andrew G.;Davies, Louise
通讯作者：
Davies, Louise
影响因子：
6.7
作者：
Hoffman, PJ;Milliken, DB;Gregg, JP
通讯作者：
Gregg, JP
影响因子：
5.8
作者：
Faustino, Alexandra;Couto, Joana P.;Soares, Paula
通讯作者：
Soares, Paula