排序方式: 共有5条查询结果,搜索用时 0 毫秒
1
1.
2.
Ram Kothandan 《Bioinformation》2015,11(1):6-10
MiRNAs are small (~22nt long) non-coding RNA sequences; binds to the complementarity target sites in 3'' Untranslated Region
(UTR) of mRNA sequences but not restricted to other mRNA regions viz., 5'' UTR and Coding sequences (CDS). Complementarity
binding of miRNA to mRNA target sites either results in complete degradation of the mRNA itself or it may regulate the mRNA as
an oncogene or as a tumor suppressor gene. However, the exact mechanism involved in identifying a miRNA to be associated with
cancer is still unclear. Further, with the outburst in the number of miRNAs sequences recorded every year in miRBase, the gap is
still widening mainly due to the laborious and economically unfavorable experimental procedures associated with the functional
annotation. Motivated by the fact, we constructed a two-step support vector machine-based predictive model - miRSEQ and
miRINT. However, the major pitfall during the construction of the model is the class imbalance problem. Hence, in order to
overcome class imbalance problem, in the present study we empirically compare the effectiveness of two different methods viz.,
Synthetic Minority Oversampling Technique (SMOTE) and cost-senstive learning method. Performance measures were evaluated
in terms of Precision and Recall. Based on our result, it was observed that for miRNA dataset with high class imbalance utilized for
predicting association of cancer, cost-sensitive method outperformed the oversampling method. 相似文献
3.
Xiang-Shun Cui Xing-Hui Shen Shao-Chen Sun Sun-Wha Cho Young-Tae Heo Yong-Kook Kang Teruhiko Wakayama 《遗传学报》2013,40(4):189-200
MicroRNAs (miRNAs) are a class of highly conserved small non-coding RNA molecules that play a pivotal role in several cellular functions. In this study, miRNA and messenger RNA (mRNA) profiles were examined by Illumina microarray in mouse embryonic stem cells (ESCs) derived from parthenogenetic, androgenetic, and fertilized blastocysts. The global analysis of miRNA-mRNA target pairs provided insight into the role of miRNAs in gene expression. Results showed that a total of 125 miRNAs and 2394 mRNAs were differentially expressed between androgenetic ESCs (aESCs) and fertilized ESCs (fESCs), a total of 42 miRNAs and 87 mRNAs were differentially expressed between parthenogenetic ESCs (pESCs) and fESCs, and a total of 99 miRNAs and 1788 mRNAs were differentially expressed between aESCs and pESCs. In addition, a total of 575, 5 and 376 miRNA-mRNA target pairs were observed in aESCs vs. fESCs, pESCs vs. fESCs, and aESCs vs. pESCs, respectively. Furthermore, 15 known imprinted genes and 16 putative uniparentally expressed miRNAs with high expression levels were confirmed by both microarray and real-time RT-PCR. Finally, transfection of miRNA inhibitors was performed to validate the regulatory relationship between putative maternally expressed miRNAs and target mRNAs. Inhibition of miR-880 increased the expression of Peg3, Dyrk1b, and Prrg2 mRNA, inhibition of miR-363 increased the expression of Nfat5 and Soat1 mRNA, and inhibition of miR-883b-5p increased Nfat5, Tacstd2, and Ppapdc1 mRNA. These results warrant a functional study to fully understand the underlying regulation of genomic imprinting in early embryo development. 相似文献
4.
利用TCGA数据库中肾透明细胞癌的miRNA与mRNA数据及临床信息,构建由miRNA组成的预后风险评分模型,并筛选与生存预后相关的miRNA-mRNA调控关系对,为研究提供理论依据。下载并整理TCGA[JP+1]数据库中肾透明细胞癌的miRNA与mRNA数据;对数据进行差异分析,将差异表达的miRNA与临床信息进行合并,利用单因素与多因素Cox回归分析,构建预后模型并进行模型评价;对模型中的miRNA进行靶基因预测,结果与差异表达的mRNA进行取交集,构建miRNA-mRNA调控网络;对网络中的mRNA进行生存分析,筛选生存相关的miRNA-mRNA调控关系对。共得到49个差异表达的miRNA与3 613个差异表达的mRNA;预后模型计算公式为:风险值(risk score)=hsa-miR-21-5p表达量×0.603+hsa-miR-1251-5p表达量×-0.093;调控网络中共纳入31个miRNA-mRNA调控关系对;对mRNA进行生存分析,共得到7个有价值的关系对。所构建预后模型可有效预测肾透明细胞癌患者生存预后情况,筛选到的miRNA-mRNA调控关系对可为相关研究与治疗提供参考。 相似文献
5.
利用GEO数据库中的芯片数据,筛选与星形细胞瘤生存预后相关的miRNA-mRNA调控关系对,为后续研究提供理论支持。下载芯片数据利用R语言进行差异表达分析,得到星形细胞瘤较正常组织表达显著改变的miRNA与mRNA;通过miRNA靶基因预测,将靶基因与差异表达mRNA取交集,明确mRNA与miRNA之间的关系;利用GEPIA2.0工具在TCGA数据库中筛选有生存价值的mRNA并验证表达情况,利用OncoLnc工具对相应miRNA进行生存分析。筛选到差异表达的miRNA 90个(表达上调22个,下调68个);差异表达的mRNA 644个(表达下调476个,上调168个);根据miRNA靶基因预测结果,整理出miRNA-mRNA关系对30个,对其中的mRNA与miRNA进行生存分析,共得到7个miRNA-mRNA关系对与LGG患者生存预后明显相关,未筛选到与GBM患者生存预后有关的调控关系对。本研究筛选到的7个miRNA-mRNA调控关系对与LGG患者生存预后显著相关,可为相关研究与治疗提供靶点和参考方向。 相似文献
1