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Clinical relevance of thyroid cell models in redox research

Overview of attention for article published in Cancer Cell International, December 2015
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Title
Clinical relevance of thyroid cell models in redox research
Published in
Cancer Cell International, December 2015
DOI 10.1186/s12935-015-0264-3
Pubmed ID
Authors

Francesca Cammarota, Francesco Fiscardi, Tiziana Esposito, Gabriella de Vita, Marco Salvatore, Mikko O. Laukkanen

Abstract

Thyroid-derived cell models are commonly used to investigate the characteristics of thyroid cancers. It is noteworthy that each in vitro single cell model system imitates only a few characteristics of thyroid cancer depending on e.g. source of cells or oncogene used to transform the cells. In the current work we utilized rat thyroid cancer cell models to determine their clinical relevance in redox gene studies by comparing in vitro expression data to thyroid Oncomine microarray database. To survey the cell lines we analyzed mRNA expression of genes that produce superoxide anion (nox family), genes that catalyze destruction of superoxide anion to hydrogen peroxide (sod family), and genes that remove hydrogen peroxide from cellular environment (catalase, gpx family and prdx family). Based on the current results, rat thyroid PC Cl3, PC PTC1, PC E1A, or FRLT5 cell models can be used to study NOX2, NOX4, SOD2, SOD3, CATALASE, GPX1, GPX2, GPX5, PRDX2, and PRDX3 gene expression and function. Redox gene expression in rat originated single cell model systems used to study human thyroid carcinogenesis corresponds only partly with human redox gene expression, which may be caused by differences in redox gene activation stimulus. The data suggest careful estimation of the data observed in rat thyroid in vitro models.

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Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Student > Ph. D. Student 3 14%
Other 2 10%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Other 5 24%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 43%
Agricultural and Biological Sciences 6 29%
Unspecified 1 5%
Medicine and Dentistry 1 5%
Unknown 4 19%