Zhou Gang, Lu Ming-Qian, Li Dao-Jun, Gao Bao-An, Guo Rong
Internal Medicine, The First College of Clinical Medical Science, China Three Gorges University, Yichang Central People's Hospital, Yichang, Hubei 443003, P.R. China.
Department of Oncology, The First College of Clinical Medical Science, China Three Gorges University, Yichang Central People's Hospital, Yichang, Hubei 443003, P.R. China.
Oncol Lett. 2017 Dec;14(6):7489-7494. doi: 10.3892/ol.2017.7158. Epub 2017 Oct 10.
The aim of the present study was to identify differentially expressed molecular functions (DEMFs) for breast cancer using the Gibbs sampling approach. Molecular functions (MFs) were obtained on the basis of the Bayesian Approach for Geneset Selection package. Subsequently, MFs were converted into Markov chains (MCs) prior to calculating their probabilities, utilizing the MC Monte Carlo algorithm. DEMFs were identified with probabilities ≥0.8 and the gene compositions were studied. Finally, a co-expression network was constructed via the empirical Bayes method and a pathway enrichment analysis of genes in DEMFs was performed. A total of 396 MFs were identified and all transformed to MCs. With the threshold, 2 DEMFs (structural molecule activity and protein heterodimerization activity) were obtained. The DEMFs were comprised of 297 genes, 259 of which were mapped to the co-expression network. These 297 genes were identified to be enriched in 10 pathways, and ribosome was the most significant pathway. The results of the present study revealed 2 DEMFs (structural molecule activity and protein heterodimerization activity) which may be associated with the pathological molecular mechanisms underlying breast cancer, based on Gibbs sampling.
本研究的目的是使用吉布斯采样方法识别乳腺癌的差异表达分子功能（DEMFs）。分子功能（MFs）是基于基因集选择的贝叶斯方法软件包获得的。随后，在利用马尔可夫链蒙特卡罗算法计算其概率之前，将MFs转换为马尔可夫链（MCs）。识别出概率≥0.8的DEMFs并研究其基因组成。最后，通过经验贝叶斯方法构建共表达网络，并对DEMFs中的基因进行通路富集分析。共识别出396个MFs并全部转换为MCs。在设定阈值的情况下，获得了2个DEMFs（结构分子活性和蛋白质异二聚化活性）。这些DEMFs由297个基因组成，其中259个基因被映射到共表达网络中。这297个基因被确定在10条通路中富集，核糖体是最显著的通路。本研究结果显示，基于吉布斯采样，有2个DEMFs（结构分子活性和蛋白质异二聚化活性）可能与乳腺癌潜在的病理分子机制相关。
