Objective: The aim of this study was to identify the key microRNAs (miRNAs) and their regulatory networks in bladder cancer (BC).
Materials And Methods: Three miRNA and three gene expression microarray datasets were downloaded for analysis from Gene Expression Omnibus database. The differentially expressed miRNAs (DEMs) and differentially expressed genes (DEGs) were accessed by the use of GEO2R. Gene ontology process and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed by using the Database for Annotation, Visualization and Integrated Discovery program. Protein-protein interaction (PPI) and miRNA-mRNA regulatory networks were established by using the Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape tool. Besides, the results and clinical significance were validated in The Cancer Genome Atlas (TCGA) dataset.
Results: A total of 18 significant DEMs, 121 upregulated DEGs and 199 downregulated DEGs were identified. Functional enrichment analysis showed that significant DEGs were related to cell cycle and MAPK pathway in BC. Key DEGs such as , , and were found as the hub genes in PPI networks. TCGA analysis supported our results, and the miRNAs were correlated with the pathological stages and survival of BC patients.
Conclusion: In this study, we found 18 DEMs that may play key roles in the regulatory networks of BC. The higher expression of miR-99a, miR-100, miR-125b, miR-145, miR-214 and miR-487b or the lower expression of miR-138 and miR-200a can indicate poor survival in the prognosis of BC. Further experimental studies are required to test our results.
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http://dx.doi.org/10.2147/OTT.S166506 | DOI Listing |
PLoS One
January 2025
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.
Many machine learning techniques have been used to construct gene regulatory networks (GRNs) through precision matrix that considers conditional independence among genes, and finally produces sparse version of GRNs. This construction can be improved using the auxiliary information like gene expression profile of the related species or gene markers. To reach out this goal, we apply a generalized linear model (GLM) in first step and later a penalized maximum likelihood to construct the gene regulatory network using Glasso technique for the residuals of a multi-level multivariate GLM among the gene expressions of one species as a multi-levels response variable and the gene expression of related species as a multivariate covariates.
View Article and Find Full Text PDFDis Model Mech
January 2025
Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Science, Radboud University, Nijmegen 6525GA, The Netherlands.
Hepatic organoid cultures are a powerful model to study liver development and diseases in vitro. However, hepatocyte-like cells differentiated from these organoids remain immature compared to primary human hepatocytes (PHHs), which are the benchmark in the field. Here, we applied integrative single-cell transcriptome and chromatin accessibility analysis to reveal gene regulatory mechanisms underlying these differences.
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Although microplastics (MPs) toxicity to soil microorganisms has been preliminarily explored, the underlying reasons affecting the direction of microbial community succession are unclear. This study aimed to investigate the impacts of MPs infer community assembly mechanisms through phylogenetic bin-based null model analysis, network models, and protein function prediction in five typical Northeast China five typical soils. The results show that microbial communities in soils with high organic matter exhibit a stronger response to MPs, with enhanced protein functionality, network regulation, and assembly processes.
View Article and Find Full Text PDFJ Cell Sci
January 2025
Institute of Molecular Biosciences, University of Graz, Graz, Austria.
White adipose tissue (WAT) comprises a plethora of cell types beyond adipocytes forming a regulatory network that ensures systemic energy homeostasis. Intertissue communication is facilitated by metabolites and signaling molecules that are spread by vasculature and nerves. Previous works indicated that WAT responds to environmental cues by adapting the abundance of these "communication routes", however, high intra-tissue heterogeneity questions the informative value of bulk or single cell analyses and underscores the necessity of whole-mount imaging.
View Article and Find Full Text PDFFront Plant Sci
January 2025
College of Life Sciences, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, China.
The formation of the female germline is the fundamental process in most flowering plants' sexual reproduction. In , only one somatic cell obtains the female germline fate, and this process is regulated by different pathways. Megaspore mother cell (MMC) is the first female germline, and understanding MMC development is essential for comprehending the complex mechanisms of plant reproduction processes.
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