Literature DB >> 6180874

Effects of Hoechst 33342 on survival and growth of two tumor cell lines and on hematopoietically normal bone marrow cells.

J Fried, J Doblin, S Takamoto, A Perez, H Hansen, B Clarkson.   

Abstract

Our objective in this investigation was to determine whether Hoechst 33342, which is widely recognized as a DNA specific fluorochrome for living cells, is in fact nontoxic and kinetically nonperturbing at dye concentrations required to achieve acceptable DNA distributions. Three cell types were tested: HeLa S-3; SK-DHL2, a human lymphoma cell line; and hematopoietically normal human bone marrow cells. In the third system, only the cloning efficiencies were determined. Results differed considerably for the different cell types. While HeLa cells yielded excellent DNA distributions and were almost completely resistant to the cytotoxic and cytokinetic effects of the dye, SK-DHL2 cells were highly sensitive to the fluorochrome even at dye concentrations which produced very poor DNA distributions. Human bone marrow cells were intermediate in their stainability and toxicity response, and acceptable DNA distributions could be obtained at the nontoxic dye concentration of 2.5 muM. Clearly, different cell types differ considerably with respect to their cytotoxic and kinetic responses to Hoechst 33342. In some cases it may not be possible to ensure adequate staining of the cells for flow cytometry without significantly altering their viability and/or proliferative behavior.

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Year:  1982        PMID: 6180874     DOI: 10.1002/cyto.990030110

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  9 in total

1.  The DNA content of mouse two-cell embryos can be measured by microfluorimetric image analysis under conditions of cell viability.

Authors:  P G Adenot; E Corteggiani; M Geze; D Besombes; P Debey
Journal:  J Fluoresc       Date:  1992-09       Impact factor: 2.217

2.  Characterisation of normal and cancer stem cells: one experimental paradigm for two kinds of stem cells.

Authors:  Jean-François Mayol; Corinne Loeuillet; Francis Hérodin; Didier Wion
Journal:  Bioessays       Date:  2009-09       Impact factor: 4.345

Review 3.  Apoptosis and beyond: cytometry in studies of programmed cell death.

Authors:  Donald Wlodkowic; William Telford; Joanna Skommer; Zbigniew Darzynkiewicz
Journal:  Methods Cell Biol       Date:  2011       Impact factor: 1.441

4.  Three-Dimensional Two-Color Dual-Particle Tracking Microscope for Monitoring DNA Conformational Changes and Nanoparticle Landings on Live Cells.

Authors:  Yen-Liang Liu; Evan P Perillo; Phyllis Ang; Mirae Kim; Duc Trung Nguyen; Katherine Blocher; Yu-An Chen; Cong Liu; Ahmed M Hassan; Huong T Vu; Yuan-I Chen; Andrew K Dunn; Hsin-Chih Yeh
Journal:  ACS Nano       Date:  2020-07-15       Impact factor: 15.881

5.  Automated selective dissociation of cells from different regions of multicellular spheroids.

Authors:  J P Freyer; P L Schor
Journal:  In Vitro Cell Dev Biol       Date:  1989-01

6.  Monitoring DNA breaks in optically highlighted chromatin in living cells by laser scanning confocal microscopy.

Authors:  Michael J Kruhlak; Arkady Celeste; André Nussenzweig
Journal:  Methods Mol Biol       Date:  2009

7.  Down-regulation of the fetal stem cell factor SOX17 by H33342: a mechanism responsible for differential gene expression in breast cancer side population cells.

Authors:  Matthias Christgen; Robert Geffers; Matthias Ballmaier; Henriette Christgen; Janette Poczkaj; Till Krech; Hans Kreipe; Ulrich Lehmann
Journal:  J Biol Chem       Date:  2009-12-29       Impact factor: 5.157

8.  Automated microbeam observation environment for biological analysis-Custom portable environmental control applied to a vertical microbeam system.

Authors:  Matthew J England; Alan W Bigelow; Michael J Merchant; Eirini Velliou; David Welch; David J Brenner; Karen J Kirkby
Journal:  Sens Actuators B Chem       Date:  2016-08-16       Impact factor: 7.460

9.  In silico-labeled ghost cytometry.

Authors:  Masashi Ugawa; Yoko Kawamura; Keisuke Toda; Kazuki Teranishi; Hikari Morita; Hiroaki Adachi; Ryo Tamoto; Hiroko Nomaru; Keiji Nakagawa; Keiki Sugimoto; Evgeniia Borisova; Yuri An; Yusuke Konishi; Seiichiro Tabata; Soji Morishita; Misa Imai; Tomoiku Takaku; Marito Araki; Norio Komatsu; Yohei Hayashi; Issei Sato; Ryoichi Horisaki; Hiroyuki Noji; Sadao Ota
Journal:  Elife       Date:  2021-12-21       Impact factor: 8.140

  9 in total

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