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Journal of Life Science
Article . 2014 . Peer-reviewed
Data sources: Crossref
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Promoter Cloning of Human SETDB1 Gene Utilizing Bioinformatic Programs

생물정보 프로그램을 활용한 SETDB1 유전자 프로모터 클로닝
Authors: Hee-Jung Noh; Keun-Cheol Kim;

Promoter Cloning of Human SETDB1 Gene Utilizing Bioinformatic Programs

Abstract

Eukaryotic gene expression is an important process, which is initiated by several transcription factors and RNA polymerases that occupy the promoter region of genomic DNA. Although there are many experiments to identify the promoter region in a gene, it is time and labor consuming to finalize it. In this study, we utilized bioinformatic programs, including Ensembl, NCBI, and CpG plots, to identify the cloning promoter region in SETDB1 genomic DNA. We performed PCR amplification to obtain the SETDB1 promoter on an approximately 2 kb region upstream from the TSS named SETDB1-P1. The PCR product was ligated with TA cloning vectors, and we confirmed the insert size using restriction enzyme digestion. Sequentially, the insert was subcloned into a pGL3-luc vector to produce pGL3-SETDB1P1-luc and then confirmed by DNA sequencing. We also obtained a fragmented PCR product called P2 and P3 and performed a luciferase assay using pGL3-SETDB1-P1-luc transfection. We found that several anticancer drugs, including taxol, 4-FU, and doxorubicin, decreased the promoter activity of SETDB1. We obtained consistent data on the regulation of SETDB1 gene expression after anticancer drug treatment using Western blot analysis and RT-PCR. Our results suggest that promoter cloning of the human SETDB1 gene utilizing bioinformatics is a very useful and timesaving approach to study gene expression.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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