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Expression Levels of the ABCG2 Multidrug Transporter in Human Erythrocytes Correspond to Pharmacologically Relevant Genetic Variations

Overview of attention for article published in PLOS ONE, November 2012
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Title
Expression Levels of the ABCG2 Multidrug Transporter in Human Erythrocytes Correspond to Pharmacologically Relevant Genetic Variations
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048423
Pubmed ID
Authors

Ildikó Kasza, György Várady, Hajnalka Andrikovics, Magdalena Koszarska, Attila Tordai, George L. Scheffer, Adrienn Németh, Gergely Szakács, Balázs Sarkadi

Abstract

We have developed a rapid, simple and reliable, antibody-based flow cytometry assay for the quantitative determination of membrane proteins in human erythrocytes. Our method reveals significant differences between the expression levels of the wild-type ABCG2 protein and the heterozygous Q141K polymorphic variant. Moreover, we find that nonsense mutations on one allele result in a 50% reduction in the erythrocyte expression of this protein. Since ABCG2 polymorphisms are known to modify essential pharmacokinetic parameters, uric acid metabolism and cancer drug resistance, a direct determination of the erythrocyte membrane ABCG2 protein expression may provide valuable information for assessing these conditions or for devising drug treatments. Our findings suggest that erythrocyte membrane protein levels may reflect genotype-dependent tissue expression patterns. Extension of this methodology to other disease-related or pharmacologically important membrane proteins may yield new protein biomarkers for personalized diagnostics.

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
Australia 1 2%
Canada 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Bachelor 11 24%
Researcher 6 13%
Student > Master 6 13%
Other 2 4%
Other 2 4%
Unknown 8 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 35%
Pharmacology, Toxicology and Pharmaceutical Science 7 15%
Agricultural and Biological Sciences 7 15%
Medicine and Dentistry 6 13%
Physics and Astronomy 1 2%
Other 1 2%
Unknown 8 17%