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Selection of biomarkers for HIV-1 latency by integrated analysis
  • 작성일2020-02-07
  • 최종수정일2020-02-10
  • 담당부서연구기획과
  • 연락처043-719-8033
  • 1,008

Genomics, 2019. 111(3), 327-333, DOI: https://doi.org/10.1016/j.ygeno.2018.02.007


Selection of biomarkers for HIV-1 latency by integrated analysis

Sun Young Lee, Byeong-Sun Choi;Cheol-Hee Yoon;Chun Kang;Kisoon Kim;Kyung-Chang Kim


Highlights


• DAVID and GSEA are useful to identify significant genes based on enriched GO terms.
• Nine genes were identified as biomarkers for HIV-1 latency by integrated analysis.
• The expression level of APBB2 was up-regulated in in both cell lines and PBMCs.
• The expression level of MAD2L2 was down-regulated in both cell lines and PBMCs.



Abstract

    A major obstacle in the treatment of human immunodeficiency virus type 1 (HIV-1) is its ability to establish latent infection. To find novel biomarkers associated with the mechanism of HIV-1 latent infection, we identified 70 candidate genes in HIV-1 latently infected cells through the integrated analysis in a previous study. It is important to select more effective biomarkers among 70 candidates and to verify the possibility of selected biomarkers for HIV-1 latency. We identified the 24 and 25 genes from 70 candidate genes in significantly enriched categories selected by Database for Annotation, Visualization and Integrated Discovery (DAVID) software and Gene Set Enrichment Analysis (GSEA) software, respectively. Also, we investigated genes regulated in both HIV-1 latently infected cell lines and PBMCs from HIV-1 infected patients and found the genes with a common pattern of expression levels in both cell lines and PBMCs. Consequently, we identified nine genes, APBB2, GMPR, IGF2BP3, LRP1, MAD2L2, MX1, OXR1, PTK2B, and TNFSF13B, via integrated analysis. Especially, APBB2 and MAD2L2 were identified in both DAVID and GSEA software. Our findings suggest that nine genes were identified via integrated analysis as potential biomarkers and in particular, APBB2 and MAD2L2 may be considered as more significant biomarkers for HIV-1 latency.



  • 본 연구는 질병관리본부 연구개발과제연구비를 지원받아 수행되었습니다.
  • This research was supported by a fund by Research of Korea Centers for Disease Control and Prevention.


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