Micro RNAs（mi RNAs） are known to regulate post-transcriptional gene expression.They are involved in carcinogenesis and tumor progression.The aim of this study was to explore the micro RNA-m RNA regulatory network in...Micro RNAs（mi RNAs） are known to regulate post-transcriptional gene expression.They are involved in carcinogenesis and tumor progression.The aim of this study was to explore the micro RNA-m RNA regulatory network in esophageal squamous cell carcinoma（ESCC） using comprehensive computational approaches.In this study we have selected a total of 11 mi RNAs from one previously reported study in ESCC.The m RNA targets of these mi RNAs were predicted using various algorithms.The expression profiles of these m RNA targets were identified on DNA microarray experiment dataset across ESCC tissue samples.Based on the mi RNA-m RNA regulatory relationships,the network was inferred.A total of 23 mi RNA-m RNA regulatory interactions,with 11 mi RNAs and 13 m RNA targets,were inferred in ESCC.The mi RNA-m RNA regulatory network with increased confidence provides insights into the progression of ESCC and may serve as a biomarker for prognosis or the aggressiveness of ESCC.However,the results should be examined with further experimental validation.展开更多
基金supported by grants from Natural Science Foundation of Hubei Province,China(No.2010CDB09204)Youth Dawn Plan of Science and Technology in Wuhan,China(No.201150431137)
文摘Micro RNAs（mi RNAs） are known to regulate post-transcriptional gene expression.They are involved in carcinogenesis and tumor progression.The aim of this study was to explore the micro RNA-m RNA regulatory network in esophageal squamous cell carcinoma（ESCC） using comprehensive computational approaches.In this study we have selected a total of 11 mi RNAs from one previously reported study in ESCC.The m RNA targets of these mi RNAs were predicted using various algorithms.The expression profiles of these m RNA targets were identified on DNA microarray experiment dataset across ESCC tissue samples.Based on the mi RNA-m RNA regulatory relationships,the network was inferred.A total of 23 mi RNA-m RNA regulatory interactions,with 11 mi RNAs and 13 m RNA targets,were inferred in ESCC.The mi RNA-m RNA regulatory network with increased confidence provides insights into the progression of ESCC and may serve as a biomarker for prognosis or the aggressiveness of ESCC.However,the results should be examined with further experimental validation.
