Dataset Information

Prediction of IER5 structure and function using a bioinformatics approach.

ABSTRACT: Immediate?early response gene 5 (IER5) is a gene involved in the regulation of the cell cycle, and its structure and function have been investigated by bioinformatics analyses. The present study determined the sites of promoter methylation and gene ontology (GO) annotations associated with IER5. In addition, we conducted a prediction analysis to determine the physical and chemical properties, hydrophobicity/hydrophilicity, posttranslational modification, subcellular localization, transmembrane structure, signal peptide and secondary and tertiary structures of IER5. One CpG island and several methylated sites were identified close to the promoter of IER5. The GO analysis suggested that IER5 could bind ions and proteins that were mainly associated with metabolic processes. IER5 comprised 327 amino acids and was reported to be an unstable hydrophilic protein with an isoelectric point of 4.91. A total of 18 O?glycosylation sites and 22 phosphorylation sites were identified within this protein. The subcellular localization of IER5 was mainly in the nucleus, and its main secondary structural element was the ??helix. Bioinformatic analyses of the features of IER5 may improve understanding of its structure and function; however, experimental verification is required.

SUBMITTER: Xiong Q

PROVIDER: S-EPMC6522821 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Prediction of IER5 structure and function using a bioinformatics approach.

Xiong Qiang Q Jiang Xiaoyan X Liu Xiaodan X Zhou Pingkun P Ding Kuke K

Molecular medicine reports 20190415 6

Immediate‑early response gene 5 (IER5) is a gene involved in the regulation of the cell cycle, and its structure and function have been investigated by bioinformatics analyses. The present study determined the sites of promoter methylation and gene ontology (GO) annotations associated with IER5. In addition, we conducted a prediction analysis to determine the physical and chemical properties, hydrophobicity/hydrophilicity, posttranslational modification, subcellular localization, transmembrane s ...[more]

PMID: 31059029

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Project description:Osteoporosis (OP) is an age-related disease, and osteoporotic fracture is one of the major causes of disability and mortality in elderly patients (>70 years old). As the pathogenesis and molecular mechanism of OP remain unclear, the identification of disease biomarkers is important for guiding research and providing therapeutic targets. In the present study, core genes and microRNAs (miRNAs) associated with OP were identified. Differentially expressed genes (DEGs) between human mesenchymal stem cell specimens from normal osseous tissues and OP tissues were detected using the GEO2R tool of the Gene Expression Omnibus database and Morpheus. Network topological parameters were determined using NetworkAnalyzer. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery, and ClueGO. Cytoscape with the Search Tool for the Retrieval of Interacting Genes and Molecular Complex Detection plug-in was used to visualize protein-protein interactions (PPIs). Additionally, miRNA-gene regulatory modules were predicted using CyTargetLinker in order to guide future research. In total, 915 DEGs were identified, including 774 upregulated and 141 downregulated genes. Enriched GO terms and pathways were determined, including 'nervous system development', 'regulation of molecular function', 'glutamatergic synapse pathway' and 'pathways in cancer'. The node degrees of DEGs followed power-law distributions. A PPI network with 541 nodes and 1,431 edges was obtained. Overall, 3 important modules were identified from the PPI network. The following 10 genes were identified as core genes based on high degrees of connectivity: Albumin, PH domain leucine-rich repeat-containing protein phosphatase 2 (PHLPP2), DNA topoisomerase 2-?, kininogen 1 (KNG1), interleukin 2 (IL2), leucine-rich repeats and guanylate kinase domain containing, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit ? (PIK3CG), leptin, transferrin and RNA polymerase II subunit A (POLR2A). Additionally, 15 miRNA-target interactions were obtained using CyTargetLinker. Overall, 7 miRNAs co-regulated IL2, 3 regulated PHLPP2, 3 regulated KNG1, 1 regulated PIK3CG and 1 modulated POLR2A. These results indicate potential biomarkers in the pathogenesis of OP and therapeutic targets.

Dataset Information

Prediction of IER5 structure and function using a bioinformatics approach.

Publications

Prediction of IER5 structure and function using a bioinformatics approach.

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