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Article

Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma

  • Authors:
    • Kangsong Tian
    • Wei Qi
    • Qian Yan
    • Feng Zhang
    • Delei Song
    • Haiyang Zhang
    • Ming Lv
  • View Affiliations / Copyright

    Affiliations: Trauma Department of Orthopedics, Zibo Central Hospital, Zibo, Shandong 255036, P.R. China, Microscopic Department of Orthopedics, Zibo Central Hospital, Zibo, Shandong 255036, P.R. China
  • Pages: 2335-2342
    |
    Published online on: August 22, 2017
       https://doi.org/10.3892/or.2017.5914
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Abstract

Osteosarcoma is a common bone tumor which is affected by E2, the most representative estrogen. Gene regulation function of E2 is highly dependent on estrogen receptor. The purpose of this study was to explore the gene regulation patterns of E2 through estrogen receptor α (ESR1) in osteosarcoma based on the combined analysis of ChIP-seq and gene microarray. All of the datasets were downloaded from the Gene Expression Omnibus (GEO). Differential expression genes (DEGs) in E2 treated U2OS cells expressing ESR1 (U2OS-ERα) compared with those treated with vehicle were obtained based on R programming software. ESR1-specific binding sites (peaks) in E2 treated U2OS cells were identified through MACS. Overlaps between DEGs and ESR1 target genes which contained peaks in promoters were considered as reliable E2-mediated genes through ESR1 in osteosarcoma. Moreover, we conducted miRNA-Gene regulation analysis for those genes through miRWalk database to identify potential therapeutic targets for the genes. Functional enrichment analysis of DEGs indicated their potential involvement in cancer, and cell activity-related processes. Fifteen overlaps were identified between DEGs and target genes of ESR1, of which 12 were found to be regulated by miRNA. Several known estrogen response genes and novel genes were obtained in this study and they might provide potential therapeutic targets for osteosarcoma.
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Copy and paste a formatted citation
Spandidos Publications style
Tian K, Qi W, Yan Q, Zhang F, Song D, Zhang H and Lv M: Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma. Oncol Rep 38: 2335-2342, 2017.
APA
Tian, K., Qi, W., Yan, Q., Zhang, F., Song, D., Zhang, H., & Lv, M. (2017). Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma. Oncology Reports, 38, 2335-2342. https://doi.org/10.3892/or.2017.5914
MLA
Tian, K., Qi, W., Yan, Q., Zhang, F., Song, D., Zhang, H., Lv, M."Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma". Oncology Reports 38.4 (2017): 2335-2342.
Chicago
Tian, K., Qi, W., Yan, Q., Zhang, F., Song, D., Zhang, H., Lv, M."Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma". Oncology Reports 38, no. 4 (2017): 2335-2342. https://doi.org/10.3892/or.2017.5914
Copy and paste a formatted citation
x
Spandidos Publications style
Tian K, Qi W, Yan Q, Zhang F, Song D, Zhang H and Lv M: Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma. Oncol Rep 38: 2335-2342, 2017.
APA
Tian, K., Qi, W., Yan, Q., Zhang, F., Song, D., Zhang, H., & Lv, M. (2017). Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma. Oncology Reports, 38, 2335-2342. https://doi.org/10.3892/or.2017.5914
MLA
Tian, K., Qi, W., Yan, Q., Zhang, F., Song, D., Zhang, H., Lv, M."Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma". Oncology Reports 38.4 (2017): 2335-2342.
Chicago
Tian, K., Qi, W., Yan, Q., Zhang, F., Song, D., Zhang, H., Lv, M."Combined analysis of ChIP-seq and gene microarray datasets identify the E2-mediated genes in ERα-dependent manner in osteosarcoma". Oncology Reports 38, no. 4 (2017): 2335-2342. https://doi.org/10.3892/or.2017.5914
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