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
BACKGROUND： The integrative analysis of microRNA and mRNA expression profiles can elucidate microRNA-targeted gene function. We used this technique to elucidate insights into the immunological pathology of non-alcoho...BACKGROUND： The integrative analysis of microRNA and mRNA expression profiles can elucidate microRNA-targeted gene function. We used this technique to elucidate insights into the immunological pathology of non-alcoholic fatty liver disease （NAFLD）. METHODS： We analyzed differentially expressed microRNA and mRNA expression profiles of CD4＋ T lymphocytes from the liver and mesenteric lymph nodes （MLNs） of mice with NAFLD using microarrays and RNA sequencing. Normal mice were used as controls. The target genes of microRNAs were predicted by TargetScan. Integrative analysis showed that the mRNAs were overlapped with microRNAs. Furthermore, the Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed to predict the key genes and pathways. Then, 16 microRNAs and 10 mRNAs were validated by qRT-PCR. RESULTS： Microarray analysis suggested that 170 microRNAs were significantly de-regulated in CD4＋ T lymphocytes from the liver between the two groups. Eighty mRNAs corresponded with microRNA targeted genes. KEGG analysis indicated that the MAPK pathway was consistently augmented in the liver of NAFLD mice. miR-23b, let-7e, miR-128 and miR-130b possibly played significant parts in the MAPK pathways. Furthermore, between the two groups, 237 microRNAs were significantly deregulated in CD4＋ T lymphocytes from MLNs. 38 mRNAs coincided with microRNA target genes. The metabolic pathway was consistently enriched in the MLNs of NAFLD mice. miR- 206-3p, miR-181a-Sp, miR-29c-3p and miR-30d-5p likely play important roles in the regulation of metabolic pathways. CONCLUSION： The results of this study presented a new perspective on the application of integrative analysis to identify complex regulation means involved in the immunological pathogenesis of NAFLD.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.
基金supported by a grant from the National Natural Science Foundation of China(81170375)
文摘BACKGROUND： The integrative analysis of microRNA and mRNA expression profiles can elucidate microRNA-targeted gene function. We used this technique to elucidate insights into the immunological pathology of non-alcoholic fatty liver disease （NAFLD）. METHODS： We analyzed differentially expressed microRNA and mRNA expression profiles of CD4＋ T lymphocytes from the liver and mesenteric lymph nodes （MLNs） of mice with NAFLD using microarrays and RNA sequencing. Normal mice were used as controls. The target genes of microRNAs were predicted by TargetScan. Integrative analysis showed that the mRNAs were overlapped with microRNAs. Furthermore, the Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed to predict the key genes and pathways. Then, 16 microRNAs and 10 mRNAs were validated by qRT-PCR. RESULTS： Microarray analysis suggested that 170 microRNAs were significantly de-regulated in CD4＋ T lymphocytes from the liver between the two groups. Eighty mRNAs corresponded with microRNA targeted genes. KEGG analysis indicated that the MAPK pathway was consistently augmented in the liver of NAFLD mice. miR-23b, let-7e, miR-128 and miR-130b possibly played significant parts in the MAPK pathways. Furthermore, between the two groups, 237 microRNAs were significantly deregulated in CD4＋ T lymphocytes from MLNs. 38 mRNAs coincided with microRNA target genes. The metabolic pathway was consistently enriched in the MLNs of NAFLD mice. miR- 206-3p, miR-181a-Sp, miR-29c-3p and miR-30d-5p likely play important roles in the regulation of metabolic pathways. CONCLUSION： The results of this study presented a new perspective on the application of integrative analysis to identify complex regulation means involved in the immunological pathogenesis of NAFLD.
