Identification of stable housekeeping genes in response to ionizing radiation in cancer research
Autor: | Gopal Iyer, Shay Bourgeois, Pari Shah, Eric A. Armstrong, Paul M. Harari, Albert R. Wang, Sean Brennan |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Lung Neoplasms Biology Importin 8 Article 03 medical and health sciences Carcinoma Non-Small-Cell Lung Cell Line Tumor Radiation Ionizing Pancreatic cancer Gene expression medicine Humans Ubiquitin C Gene Regulation of gene expression Genes Essential Multidisciplinary Gene Expression Profiling medicine.disease Housekeeping gene Gene Expression Regulation Neoplastic Pancreatic Neoplasms Gene expression profiling 030104 developmental biology A549 Cells Head and Neck Neoplasms Carcinoma Squamous Cell Cancer research |
Zdroj: | Scientific Reports |
ISSN: | 2045-2322 |
DOI: | 10.1038/srep43763 |
Popis: | Housekeeping genes (HKGs) are essential for basic maintenance of a variety of cellular processes. They ideally maintain uniform expression independent of experimental conditions. However, the effects of ionizing radiation (IR) on HKG expression is unclear. Statistical algorithms, geNorm and Normfinder were used for estimating the stability of HKGs as raw quantification cycle (Cq) values were not a reliable factor for normalization. Head and neck, non-small lung and pancreas cells were exposed to 2, 4 and 6 Gy IR doses and expression of fourteen HKGs was measured at 5 min to 48 h post-irradiation within a given tissue. Paired and single cell line analyses under these experimental conditions identified TATA-Box Binding Protein (TBP) and Importin 8 (IPO8) to be stable in non-small cell lung cancer. In addition to these two genes, Ubiquitin C (UBC) in head and neck cancer and Transferrin receptor (TFRC) and β-Glucuronidase (GUSB) in pancreatic cancer were identified to be stable as well. In summary we present a resource for top ranked five stable HKGs and their transcriptional behavior in commonly used cancer model cell lines and suggest the use of multiple HKGs under radiation treatment conditions is a reliable metric for quantifying gene expression. |
Databáze: | OpenAIRE |
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