BACKGROUND: The balance between cell proliferation and drug-induced cell death by apoptosis or necrosis plays a major role in determining response to chemotherapy. Commonly-used DNA analysis methods cannot study both parameters simultaneously. A new approach described here combines a green fluorescent membrane-intercalating dye (PKH67) with Hoechst 33342 or annexin V and propidium iodide, to allow simultaneous assessment of cell division, cell cycle status, apoptosis, and necrosis, respectively. METHODS: To test this approach, we used cultured K562 leukemic cell lines which are drug-sensitive (K562S) or drug-resistant (K562R) by virtue of whether they lack or exhibit expression, respectively, of the gp-170 (PGP) glycoprotein pump involved in multidrug resistance. RESULTS: We found that: 1) PKH67 fluorescence intensity decreases proportionately to number of cell divisions, 2) labeling with PKH67 does not alter either cell cycle distribution, as assessed by vital DNA staining with Hoechst 33342, or cell growth, and 3) using a simple threshold analysis method suitable for real-time sorting decisions, subpopulations of proliferating cells present at initial levels of >/= 10% can readily be detected after two cell division times, based on decreased PKH67 intensity. Finally, we demonstrated that after treatment of an admixture of K562S and K562R with vincristine, triple-labeling with PKH67, annexin V, and propidium iodide can be used to identify and sort those cells which remain not only viable (nonnecrotic, nonapoptotic) but actively dividing (decreased PKH67 intensity) in the presence of drug. CONCLUSIONS: Although the studies described here were carried out in a model system using cells having known drug resistance phenotypes, we expect that the methods described will be useful in ex vivo studies of clinical leukemic specimens designed to identify the role played by specific chemoresistance proteins and mechanisms in therapeutic outcomes for individual patients. Copyright 2000 Wiley-Liss, Inc.
BACKGROUND: The balance between cell proliferation and drug-induced cell death by apoptosis or necrosis plays a major role in determining response to chemotherapy. Commonly-used DNA analysis methods cannot study both parameters simultaneously. A new approach described here combines a green fluorescent membrane-intercalating dye (PKH67) with Hoechst 33342 or annexin V and propidium iodide, to allow simultaneous assessment of cell division, cell cycle status, apoptosis, and necrosis, respectively. METHODS: To test this approach, we used cultured K562 leukemic cell lines which are drug-sensitive (K562S) or drug-resistant (K562R) by virtue of whether they lack or exhibit expression, respectively, of the gp-170 (PGP) glycoprotein pump involved in multidrug resistance. RESULTS: We found that: 1) PKH67 fluorescence intensity decreases proportionately to number of cell divisions, 2) labeling with PKH67 does not alter either cell cycle distribution, as assessed by vital DNA staining with Hoechst 33342, or cell growth, and 3) using a simple threshold analysis method suitable for real-time sorting decisions, subpopulations of proliferating cells present at initial levels of >/= 10% can readily be detected after two cell division times, based on decreased PKH67 intensity. Finally, we demonstrated that after treatment of an admixture of K562S and K562R with vincristine, triple-labeling with PKH67, annexin V, and propidium iodide can be used to identify and sort those cells which remain not only viable (nonnecrotic, nonapoptotic) but actively dividing (decreased PKH67 intensity) in the presence of drug. CONCLUSIONS: Although the studies described here were carried out in a model system using cells having known drug resistance phenotypes, we expect that the methods described will be useful in ex vivo studies of clinical leukemic specimens designed to identify the role played by specific chemoresistance proteins and mechanisms in therapeutic outcomes for individual patients. Copyright 2000 Wiley-Liss, Inc.
Authors: C Rousselle; M Barbier; V V Comte; C Alcouffe; J Clement-Lacroix; G Chancel; X Ronot Journal: In Vitro Cell Dev Biol Anim Date: 2001 Nov-Dec Impact factor: 2.416
Authors: Nino Rainusso; Tsz-Kwong Man; Ching C Lau; John Hicks; Jianhe J Shen; Alexander Yu; Lisa L Wang; Jeffrey M Rosen Journal: Cancer Biol Ther Date: 2011-08-15 Impact factor: 4.742
Authors: Hiroyuki Kashiwagi; Jonathan E McDunn; Peter O Simon; Peter S Goedegebuure; Suwanna Vangveravong; Katherine Chang; Richard S Hotchkiss; Robert H Mach; William G Hawkins Journal: J Transl Med Date: 2009-03-26 Impact factor: 5.531