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
Aberrant RNA modification has been linked to the pathogenesis of various diseases;however,its specific molecular mechanisms in spinal cord injury remain poorly understood.The objective of this study was to explore RNA...Aberrant RNA modification has been linked to the pathogenesis of various diseases;however,its specific molecular mechanisms in spinal cord injury remain poorly understood.The objective of this study was to explore RNA modification-related biomarkers of spinal cord injury.The mRNA expression profiles of mice with spinal cord injury were retrieved from the Gene Expression Omnibus(GEO)database(GSE18179).We identified 185 differentially expressed genes using bioinformatics approaches.Functional enrichment analysis demonstrated aberrant activation or inhibition of common metabolism-related pathways,including sulfur metabolism and steroid biosynthesis,in mice with spinal cord injury.An integrated strategy comprising weighted gene co-expression network analysis,a random forest model,a support vector machine model,and a generalized linear model was employed to identify four genes whose aberrant RNA modification was linked to spinal cord injury:Elovl6,Idi1,Sqle,and Stbd1.We verified the expression levels and diagnostic performance of these four genes in the original training dataset and mouse samples via receiver operating characteristic curve analysis.Quantitative reverse transcription-polymerase chain reaction demonstrated variations in the mRNA levels of the four genes between the Sham and spinal cord injury groups at different time points following injury.We also constructed microRNA-mRNA and transcription factor-mRNA interaction networks using Cytoscape.Additionally,we evaluated the proportions of 22 types of immune cells in the spinal cords of mice using the CIBERSORT tool,revealing significant alterations in the numbers of memory B cells,resting dendritic cells,M0 macrophages,activated mast cells,resting mast cells,and CD8+T cells in spinal cord injury mice compared with Sham controls.Microglia and T cells were identified as key cell types by single-cell sequencing analysis.These findings provide new directions for the development of RNA modification-related therapeutic strategies for spinal cord injury and suggest that Elovl6,Idi1,Sqle,and Stbd1 are potential biomarkers of spinal cord injury.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.
文摘Aberrant RNA modification has been linked to the pathogenesis of various diseases;however,its specific molecular mechanisms in spinal cord injury remain poorly understood.The objective of this study was to explore RNA modification-related biomarkers of spinal cord injury.The mRNA expression profiles of mice with spinal cord injury were retrieved from the Gene Expression Omnibus(GEO)database(GSE18179).We identified 185 differentially expressed genes using bioinformatics approaches.Functional enrichment analysis demonstrated aberrant activation or inhibition of common metabolism-related pathways,including sulfur metabolism and steroid biosynthesis,in mice with spinal cord injury.An integrated strategy comprising weighted gene co-expression network analysis,a random forest model,a support vector machine model,and a generalized linear model was employed to identify four genes whose aberrant RNA modification was linked to spinal cord injury:Elovl6,Idi1,Sqle,and Stbd1.We verified the expression levels and diagnostic performance of these four genes in the original training dataset and mouse samples via receiver operating characteristic curve analysis.Quantitative reverse transcription-polymerase chain reaction demonstrated variations in the mRNA levels of the four genes between the Sham and spinal cord injury groups at different time points following injury.We also constructed microRNA-mRNA and transcription factor-mRNA interaction networks using Cytoscape.Additionally,we evaluated the proportions of 22 types of immune cells in the spinal cords of mice using the CIBERSORT tool,revealing significant alterations in the numbers of memory B cells,resting dendritic cells,M0 macrophages,activated mast cells,resting mast cells,and CD8+T cells in spinal cord injury mice compared with Sham controls.Microglia and T cells were identified as key cell types by single-cell sequencing analysis.These findings provide new directions for the development of RNA modification-related therapeutic strategies for spinal cord injury and suggest that Elovl6,Idi1,Sqle,and Stbd1 are potential biomarkers of spinal cord injury.
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.
