Identification of key genes in osteosarcoma by meta‑analysis of gene expression microarray
| Autor: | Chi Zhang, Jianxiang Shi, Junkui Sun, Hongen Xu, Muge Qi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male 0301 basic medicine Cancer Research Leukocyte migration Adolescent Biological adhesion Bone Neoplasms Computational biology Biology Biochemistry Extracellular matrix Bioconductor Young Adult 03 medical and health sciences 0302 clinical medicine Genetics Humans differently expressed gene KEGG Child Molecular Biology Gene Oligonucleotide Array Sequence Analysis Regulation of gene expression Osteosarcoma Gene Expression Profiling Articles Gene Expression Regulation Neoplastic meta-analysis Gene expression profiling 030104 developmental biology Oncology Child Preschool 030220 oncology & carcinogenesis gene expression microarray Molecular Medicine Female Genes Neoplasm |
| Zdroj: | Molecular Medicine Reports |
| ISSN: | 1791-3004 1791-2997 |
| DOI: | 10.3892/mmr.2019.10543 |
| Popis: | Osteosarcoma (OS) is one of the most malignant tumors in children and young adults. To better understand the underlying mechanism, five related datasets deposited in the Gene Expression Omnibus were included in the present study. The Bioconductor ‘limma’ package was used to identify differentially expressed genes (DEGs) and the ‘Weighted Gene Co-expression Network Analysis’ package was used to construct a weighted gene co-expression network to identify key modules and hub genes, associated with OS. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes overrepresentation analyses were used for functional annotation. The results indicated that 1,405 genes were dysregulated in OS, including 927 upregulated and 478 downregulated genes, when the cut off value was set at a ≥2 fold-change and an adjusted P-value of P |
| Databáze: | OpenAIRE |
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