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Expression profiles and pathway analysis in HEK 293 T cells overexpressing HIV-1 Tat and nucleocapsid using cDNA microarray

  • Seong Eun Park
  • , Min Joo Lee
  • , Moon Hee Yang
  • , Ka Young Ahn
  • , Soo In Jang
  • , Young Ju Suh
  • , Heejoon Myung
  • , Ji Chang You
  • , Jong Hoon Park
  • Sookmyung Women's University
  • The Catholic University of Korea
  • Ewha Womans University
  • Ilankuk University Foriegn Studies

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Human immunodeficiency virus type 1 (HIV-1) infections are responsible for a substantial number of deaths annually and represent a significant threat to public health. According to the latest study, the Tat (Transactivator of transcription) protein is essential in transcription and replication of viral genes, and is among the early expression genes involved in the life cycle of HIV. The virion NC (nucleocapsid) plays an important role in early mRNA expression and contributes to the rapid viral replication that occurs during HIV-1 infection. Therefore, we attempted to elucidate the relationship between the Tat protein and nucleocapsid protein. In a comparison of two independently prepared and hybridized samples, flag NC overexpressed HEK 293T cells and pTat overexpressed HEK 293T cells, and hybridization showed the differences in expression in each case. Among the microarray results confirmed with real-time reverse transcriptase assay, twelve genes were identified to be involved according to their gene expression profiles. Of approximately 8,208 human genes that were analyzed, we monitored candidate genes that might have been related to NC and Tat genes from gene expression profiles. Additionally, the pathways could be viewed and analyzed through the use of PathwayStudio software. The pathways from the gene list were built and paths were found among the molecules/cell objects/processes by the curation method.

Original languageEnglish
Pages (from-to)154-161
Number of pages8
JournalJournal of Microbiology and Biotechnology
Volume17
Issue number1
StatePublished - Jan 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • HIV-1
  • NC
  • Pathyway
  • Profiles
  • Tat

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