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      ColonyArea: An ImageJ Plugin to Automatically Quantify Colony Formation in Clonogenic Assays

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          Abstract

          The clonogenic or colony formation assay is a widely used method to study the number and size of cancer cell colonies that remain after irradiation or cytotoxic agent administration and serves as a measure for the anti-proliferative effect of these treatments. Alternatively, this assay is used to quantitate the transforming potential of cancer associated genes and chemical agents. Therefore, there is a need for a simplified and standardized analysis of colony formation assays for both routine laboratory use and for parallelized automated analysis. Here we describe the freely available ImageJ-plugin “ColonyArea”, which is optimized for rapid and quantitative analysis of focus formation assays conducted in 6- to 24-well dishes. ColonyArea processes image data of multi-well dishes, by separating, concentrically cropping and background correcting well images individually, before colony formation is quantitated. Instead of counting the number of colonies, ColonyArea determines the percentage of area covered by crystal violet stained cell colonies, also taking the intensity of the staining and therefore cell density into account. We demonstrate that these parameters alone or in combination allow for robust quantification of IC 50 values of the cytotoxic effect of two staurosporines, UCN-01 and staurosporine (STS) on human glioblastoma cells (T98G). The relation between the potencies of the two compounds compared very well with that obtained from an absorbance based method to quantify colony growth and to published data. The ColonyArea ImageJ plugin provides a simple and efficient analysis routine to quantitate assay data of one of the most commonly used cellular assays. The bundle is freely available for download as supporting information. We expect that ColonyArea will be of broad utility for cancer biologists, as well as clinical radiation scientists.

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          Most cited references20

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          ACTION OF X-RAYS ON MAMMALIAN CELLS

          The effects of x-irradiation have been quantitatively studied on single cells of a human cervical carcinoma (HeLa) under conditions such that 100 per cent of the unirradiated cells reproduce in isolation to form macroscopic colonies. This technique eliminates complexities due to interactions of members of large cell populations. Survival of single cells (defined as the ability to form a macroscopic colony within 15 days) yields a typical 2 hit curve when plotted against x-ray dose. The initial shoulder extends to about 75 r, after which a linear logarithmic survival rate is obtained, in which the dose needed to reduce survivors to 37 per cent is 96 r. This radiation sensitivity is tens to hundreds of times greater than that of any microorganism for which the equivalent function bas been studied. Evidence, though not proof, is presented that the lethal effect is due to a radiation-induced genetic defect which, however, cannot be a simple single gene inactivation. The locus of the action could be chromosomal. Beginning at doses of 100 r, or possibly earlier, growth-delaying effects of radiation are visible. Cells in which the ability to reproduce has been destroyed by doses below 800 r, can still multiply several times. At higher doses even a single cell division is precluded. A large proportion of the cells killed by radiation at any dose gives rise to one or more giant cells. These metabolize actively, grow to huge proportions but never reproduce under the experimental conditions employed. Methods of preparing large populations of giant cells are described. These giants are particularly susceptible to virus action. Some of the irradiated cells disappear from the plate, presumably by disintegration. This action of radiation is by far the least efficient, since even after 10,000 r, 5 to 10 per cent of the original cell inoculum is recoverable as giants.
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            Synergistic augmentation of rapamycin-induced autophagy in malignant glioma cells by phosphatidylinositol 3-kinase/protein kinase B inhibitors.

            The mammalian target of rapamycin (mTOR) is a downstream effector of the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway and a central modulator of cell proliferation in malignant gliomas. Therefore, the targeting of mTOR signaling is considered a promising therapy for malignant gliomas. However, the mechanisms underlying the cytotoxic effects of a selective mTOR inhibitor, rapamycin, on malignant glioma cells are poorly understood. The purpose of this study was thus to elucidate how rapamycin exerts its cytotoxic effects on malignant glioma cells. We showed that rapamycin induced autophagy but not apoptosis in rapamycin-sensitive malignant glioma U87-MG and T98G cells by inhibiting the function of mTOR. In contrast, in rapamycin-resistant U373-MG cells, the inhibitory effect of rapamycin was minor, although the phosphorylation of p70S6 kinase, a molecule downstream of mTOR, was remarkably inhibited. Interestingly, a PI3K inhibitor, LY294002, and an Akt inhibitor, UCN-01 (7-hydroxystaurosporine), both synergistically sensitized U87-MG and T98G cells as well as U373-MG cells to rapamycin by stimulating the induction of autophagy. Enforced expression of active Akt in tumor cells suppressed the combined effects of LY294002 or UCN-01, whereas dominant-negative Akt expression was sufficient to increase the sensitivity of tumor cells to rapamycin. These results indicate that rapamycin exerts its antitumor effect on malignant glioma cells by inducing autophagy and suggest that in malignant glioma cells a disruption of the PI3K/Akt signaling pathway could greatly enhance the effectiveness of mTOR inhibitors.
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              Determination of cell number in monolayer cultures.

              Determining the cytostatic or cytotoxic effects of various conditions on monolayer cells requires techniques that are rapid, reproducible, and able to monitor these effects as a function of time. Methods currently used to monitor cytostasis or cytotoxicity are either static or indirect; that is, they are designed to test effects of various treatments either at single time points or on associated cellular processes, such as membrane integrity. Because of these limitations in extant techniques, we undertook this study to improve methods for the rapid determination of cell number in monolayer cultures. We have arrived at conditions of staining cell nuclei with crystal violet under fixed regimens which allow rapid and reproducible quantification of cell number in cultures grown in 24-well miniwells. Quantification is possible by solubilizing the adsorbed dye into a solution of Triton X-100 and determining optical density (O.D.) using spectrophotometry. The present communication documents that O.D. is linearly related to cell number with a sensitivity of ca. 500 cells and that the technique is applicable to study agents which affect cell proliferation.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                19 March 2014
                : 9
                : 3
                : e92444
                Affiliations
                [1 ]Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
                [2 ]Department of Pathology, University of Turku, Turku, Finland
                [3 ]Turku Doctoral Program of Biomedical Sciences, University of Turku and Åbo Akademi University, Turku, Finland
                Ospedale Pediatrico Bambino Gesu', Italy
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: CG MB AK JW DA. Performed the experiments: CG MB AK DA. Analyzed the data: CG MB AK DA. Contributed reagents/materials/analysis tools: CG MB AK JW DA. Wrote the paper: CG DA.

                [¤]

                Current address: Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, Hauz-Khas, New-Delhi, India

                Article
                PONE-D-13-47506
                10.1371/journal.pone.0092444
                3960247
                24647355
                4975db3b-046f-4ee0-b582-85a638cf33d4
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 12 November 2013
                : 21 February 2014
                Page count
                Pages: 9
                Funding
                This work was supported by the Academy of Finland fellowship grant, the Sigrid Juselius Foundation, the Cancer Society of Finland and the Marie-Curie Reintegration Grant to DA. JW was supported by funding from the Foundation of the Finnish Cancer Institute and the Sigrid Juselius Foundation. The funders had no role in study design, data collection and analysis decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Chemical Biology
                Cell Biology
                Cell Processes
                Cell Death
                Cell Growth
                Cytometry
                Molecular Cell Biology
                Computational Biology
                Biological Data Management
                Computer and Information Sciences
                Software Engineering
                Software Design
                Software Tools
                Engineering and Technology
                Signal Processing
                Image Processing
                Medicine and Health Sciences
                Oncology
                Cancer Treatment
                Radiation Therapy
                Basic Cancer Research
                Oncology Agents
                Pharmacology
                Drug Research and Development
                Drug Discovery
                Research and Analysis Methods
                Spectrum Analysis Techniques
                Spectrophotometry
                Fluorimetry
                Image Cytometry

                Uncategorized
                Uncategorized

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