J
Jarle Aarbakke
Researcher at University of Tromsø
Publications - 82
Citations - 1938
Jarle Aarbakke is an academic researcher from University of Tromsø. The author has contributed to research in topics: Thiopurine methyltransferase & Population. The author has an hindex of 23, co-authored 82 publications receiving 1906 citations. Previous affiliations of Jarle Aarbakke include Yeungnam University.
Papers
More filters
Journal ArticleDOI
Human thiopurine methyltransferase pharmacogenetics: Gene sequence polymorphisms
Diane M. Otterness,Carol L. Szumlanski,Lynne Lennard,B. Klemetsdal,Jarle Aarbakke,Jeong Ok Park-Hah,Heiko Iven,Kjeld Schmiegelow,Earl L. Branum,John T. O'Brien,Richard M. Weinshilboum +10 more
TL;DR: Characterization of variant alleles for low TPMT enzyme activity will help make it possible to assess the potential clinical utility of deoxyribonucleic acid‐based diagnostic tests for determining T PMT genotype.
Journal ArticleDOI
Thiopurine biology and pharmacology.
Journal ArticleDOI
Interethnic difference in thiopurine methyltransferase activity.
B. Klemetsdal,Eva Tollefsen,Thrina Loennechen,Knut Johnsen,Egil Utsi,Kjell Gisholt,Erik Wist,Jarle Aarbakke +7 more
TL;DR: The higher red blood cell thiopurine methyltransferase activity in the Saami population group indicates that these subjects may require higher dosages of thiopirine drugs than Caucasians.
Journal ArticleDOI
Inhibition of human thiopurine methyltransferase by furosemide, bendroflumethiazide and trichlormethiazide.
TL;DR: Since S-methylation is a major pathway in the metabolism of thiopurines, the data point to the possibility of a clinically significant diuretic-thiopurine interaction in patients treated simultaneously with these drugs.
Journal ArticleDOI
A new flow cytometric method for discrimination of apoptotic cells and detection of their cell cycle specificity through staining of F-actin and DNA
TL;DR: A new flow cytometric method that allows both identification and quantitation of apoptotic cells and estimation of their cell cycle specificity is presented, which offers the opportunity to estimate the cell cycle distributions of both the apoptotic and the nonapoptotic cell populations.