title: Identification of potential therapeutic target genes, key miRNAs and mechanisms in acute myeloid leukemia based on bioinformatics analysis.
abstract: The study was aimed to explore the underlying mechanisms and identify the potential target genes and key miRNAs for acute myeloid leukemia (AML) treatment by bioinformatics analysis. The microarray data of GSE9476 were downloaded from Gene Expression Omnibus database. A total of 64 samples, including 26 AML and 38 normal samples, were used to identify differentially expressed genes (DEGs) between AML and normal samples. The functional enrichment analysis was performed, and protein-protein interaction (PPI) network of the DEGs was constructed by Cytoscape software. Besides, the target miRNAs for DEGs were identified. Totally, 323 DEGs were identified, including 87 up-regulated and 236 down-regulated genes. Not only up-regulated genes but also down-regulated genes were related to hematopoietic-related functions. Besides, down-regulated genes were also enriched in primary immunodeficiency pathway. Tumor necrosis factor (TNF), interleukin 7 receptor (IL7R), lymphocyte-specific protein tyrosine kinase (LCK), CD79a molecule and immunoglobulin-associated alpha (CD79A) were identified in these functions. TNF and LCK were hub nodes in PPI networks. miR-124 and miR-181 were important miRNAs in this study. The hematopoietic-related functions and primary immunodeficiency pathway may be associated with AML development. Genes, such as TNF, IL7R, LCK and CD79A, may be potential therapeutic target genes for AML, and miR-124 and miR-181 may be key miRNAs in AML development.
authors.affiliation: Department of Hematology, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, China, hanyunf2@163.com.
authors.forename: Yanhong
authors.initials: Y
authors.lastname: Zhao
authors.forename: Xuefang
authors.initials: X
authors.lastname: Zhang
authors.forename: Yanqiu
authors.initials: Y
authors.lastname: Zhao
authors.forename: Desheng
authors.initials: D
authors.lastname: Kong
authors.forename: Fan
authors.initials: F
authors.lastname: Qin
authors.forename: Jing
authors.initials: J
authors.lastname: Sun
authors.forename: Ying
authors.initials: Y
authors.lastname: Dong
mesh_terms: D051925:CD79 Antigens / Q000235:genetics; D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D015536:Down-Regulation / Q000235:genetics; D015870:Gene Expression / Q000235:genetics; D020869:Gene Expression Profiling / Q000379:methods; D015972:Gene Expression Regulation, Neoplastic / Q000235:genetics; D006801:Humans; D015470:Leukemia, Myeloid, Acute / Q000235:genetics*; D019860:Lymphocyte Specific Protein Tyrosine Kinase p56(lck) / Q000235:genetics; D035683:MicroRNAs / Q000235:genetics*; D054730:Protein Interaction Domains and Motifs / Q000235:genetics; D020395:Receptors, Interleukin-7 / Q000235:genetics; D012984:Software; D014409:Tumor Necrosis Factor-alpha / Q000235:genetics; D015854:Up-Regulation / Q000235:genetics
chemical_list: D051925:CD79 Antigens; C509207:MIRN124 microRNA, human; D035683:MicroRNAs; D020395:Receptors, Interleukin-7; D014409:Tumor Necrosis Factor-alpha; D019860:Lymphocyte Specific Protein Tyrosine Kinase p56(lck)
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