Literature DB >> 19229091

Development of in vitro models for investigating spatially fractionated irradiation: physics and biological results.

S Blockhuys1, B Vanhoecke, L Paelinck, M Bracke, C De Wagter.   

Abstract

We present different in vitro experimental models which allow us to evaluate the effect of spatially fractionated dose distributions on metabolic activity. We irradiated a monolayer of MCF-7/6 human breast cancer cells with a steep and a smooth 6 MV x-ray dose gradient. In the steep gradient model, we irradiated the cells with three separate small fields. We also developed two smooth gradient models. In the first model, the cells are cultured in a T25 flask and irradiated with a smooth dose gradient over the length of the flask, while in the second one, the cells are cultured in a 96-well plate and also irradiated over the length of the plate. In an attempt to correlate the spatially fractionated dose distributions with metabolic activity, the effect of irradiation was evaluated by means of the MTT assay. This assay is used to determine the metabolic activity by measuring the amount of formazan formed after the conversion of MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) by cellular dehydrogenases. The results obtained with our different models suggest a dose-specific effect on metabolic activity, characterized by an increased formazan optical density occurring in the dose range 1.0-4.0 Gy in the steep dose gradient model and in the dose ranges 4.2-6.5 Gy and 2.3-5.1 Gy in the two smooth dose gradient models. The corresponding times for maximal formazan accumulation were 5-7 days in the steep dose gradient model and day 9-13 and day 9-11 in the smooth dose gradient models. Altogether, our results suggest that the MTT assay may be used as a biological dose-response meter to monitor the radiotherapeutic effectiveness.

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Year:  2009        PMID: 19229091     DOI: 10.1088/0031-9155/54/6/011

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  A cell-based high-throughput screening assay for radiation susceptibility using automated cell counting.

Authors:  Jasmina Hodzic; Ilse Dingjan; Mariëlle Jp Maas; Ida H van der Meulen-Muileman; Renee X de Menezes; Stan Heukelom; Marcel Verheij; Winald R Gerritsen; Albert A Geldof; Baukelien van Triest; Victor W van Beusechem
Journal:  Radiat Oncol       Date:  2015-02-27       Impact factor: 3.481

2.  The HMI™ module: a new tool to study the Host-Microbiota Interaction in the human gastrointestinal tract in vitro.

Authors:  Massimo Marzorati; Barbara Vanhoecke; Tine De Ryck; Mehdi Sadaghian Sadabad; Iris Pinheiro; Sam Possemiers; Pieter Van den Abbeele; Lara Derycke; Marc Bracke; Jan Pieters; Tom Hennebel; Hermie J Harmsen; Willy Verstraete; Tom Van de Wiele
Journal:  BMC Microbiol       Date:  2014-05-22       Impact factor: 3.605

3.  How air influences radiation dose deposition in multiwell culture plates: a Monte Carlo simulation of radiation geometry.

Authors:  Sebastia Sabater; Roberto Berenguer; Paloma Honrubia-Gomez; Miguel Rivera; Ana Nuñez; Esther Jimenez-Jimenez; Ana Martos; Carmen Ramirez-Castillejo
Journal:  J Radiat Res       Date:  2014-04-10       Impact factor: 2.724

4.  Nonlinearity in MCF7 Cell Survival Following Exposure to Modulated 6 MV Radiation Fields: Focus on the Dose Gradient Zone.

Authors:  Laetitia Lacoste-Collin; Marion Castiella; Xavier Franceries; Emmanuelle Cassol; Laure Vieillevigne; Veronica Pereda; Manuel Bardies; Monique Courtade-Saïdi
Journal:  Dose Response       Date:  2015-10-28       Impact factor: 2.658

  4 in total

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