Literature DB >> 26912806

Doxorubicin Treatment of Cancer Cells Impairs Reverse Transcription and Affects the Interpretation of RT-qPCR Results.

Ewa Drozd1, Jolanta Krzysztoń-Russjan2, Beata Gruber2.   

Abstract

BACKGROUND: Doxorubicin (DOX) acts in a variety of ways including DNA damage and enzyme inhibition, which consequently causes changes in gene expression of cells treated with this agent. Practical validation of experimental results followed by appropriate normalization of the factors investigated is crucial for obtaining biologically relevant results in gene expression studies.
MATERIALS AND METHODS: Six candidates were evaluated regarding their validity as internal reference genes: RPS23, FLOT2, UBB, ABCF1, ACTB, HPRT1. Optimization for quantitative polymerase reaction (qPCR) included: sensitivity, specificity, amplification efficiency and linear dynamic range determination. The gene expression stability was evaluated by real-time quantitative polymerase reaction (RT-qPCR) in two human cervical cancer cell lines: HeLa and DOX-resistant KB-V1 Cells treated under various concentrations of DOX.
RESULTS: DOX treatment changed gene expression and led to re-optimization of the cDNA template amounts. ACTB, HPRT1, RPS23 and FLOT2 are proposed to be sufficient as internal reference genes.
CONCLUSION: DOX may alter the reverse transcription and amplification reactions of RT-qPCR, thus creating a risk of misinterpretation of gene expression results. Copyright
© 2016, International Institute of Anticancer Research (Dr. John G. Delinasios), All rights reserved.

Entities:  

Keywords:  Doxorubicin; HeLa; KB-V1; RT-qPCR; normalization

Mesh:

Substances:

Year:  2016        PMID: 26912806

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  3 in total

1.  Effect of FLOT2 Gene Expression on Invasion and Metastasis of Colorectal Cancer and Its Molecular Mechanism under Nanotechnology and RNA Interference.

Authors:  Chonghan Zhong; Fangfang Zheng; Shanping Ye; Gengmei Gao; Penghui He; Dongning Liu
Journal:  Biomed Res Int       Date:  2022-04-04       Impact factor: 3.411

2.  Validation of optimal reference genes for quantitative real time PCR in muscle and adipose tissue for obesity and diabetes research.

Authors:  Lester J Perez; Liliam Rios; Purvi Trivedi; Kenneth D'Souza; Andrew Cowie; Carine Nzirorera; Duncan Webster; Keith Brunt; Jean-Francois Legare; Ansar Hassan; Petra C Kienesberger; Thomas Pulinilkunnil
Journal:  Sci Rep       Date:  2017-06-15       Impact factor: 4.379

3.  Comprehensive evaluation of blood-brain barrier-forming micro-vasculatures: Reference and marker genes with cellular composition.

Authors:  Mei Dai; Yi Lin; Salim S El-Amouri; Mara Kohls; Dao Pan
Journal:  PLoS One       Date:  2018-05-15       Impact factor: 3.240

  3 in total

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