Nuclear Morphometry During the Cell Cycle

Kendall, Frank M.; Swenson, Ronald; Borun, Thaddeus W.; Rowiński, J; Nicolini, Claudio

doi:10.1126/science.860132

Cited by 55 publications

(20 citation statements)

References 17 publications

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“…Dettor et al [5] found the CHO cells increase in radiosensitivity when treated with hypertonic salt solutions which condense the chromatin. Kendall et al [14] reported that certain geometric parameters of CHO cells, such as nuclear area and perimeter are not necessarily correlated with the DNA content. If this is the case, the variation of the ratio of DNA content to nuclear volume during the cell cycle has an interesting aspect with respect to radiation sensitivity during the cell cycle: the correlation between this ratio and radiosensitivity [8] may reflect a causal connection between DNA concentration and radiosensitivity and may explain why some cells show a constant radiosensitivity during the cell cycle and others not.…”

Section: Correlation To Radiosensitivitymentioning

confidence: 98%

Cellular and nuclear volume of human cells during the cell cycle

Fidorra

Mielke

Booz

et al. 1981

Radiat Environ Biophys

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The volumes of whole cells and nuclei of cultured human cells were studied at different times after synchronization of growth using the Coulter counter and scanning microphotometry. It was found that the increase in cell volume is compatible with both linear or exponential growth during the cell cycle. The growth of the nuclear volume is not correlated with the beginning of the DNA synthesis. The nuclear volume starts to increase already 6 hr prior DNA synthesis. The data also indicate that the nuclear volume growth could proceed in two stages. The relation of this result to radiation sensitivity is discussed.

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Section: Correlation To Radiosensitivitymentioning

confidence: 98%

Cellular and nuclear volume of human cells during the cell cycle

Fidorra

Mielke

Booz

et al. 1981

Radiat Environ Biophys

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“…DNA or BrdU amount was calculated as the sum of fluorescence within a nucleus or a set of chromosomes. As in coducting image analysis (28), the degree of chromatin condensation of a nucleus was defined as the average of value of DAPl fluorescence of nuclear DNA within a unit area. BrdU fluorescence as measured by a scanning method was the sum of the replicon growth rate and/or number of replicons present as a group within a unit area (0.44 F2).…”

Section: Scanning Microfluorometrymentioning

confidence: 99%

Study of the Lineage and Cell Cycle of Small Micromeres in Embryos of the Sea Urchin, Hemicentrotus pulcherrimus

Tanaka

Dan²

1990

Dev Growth Differ

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A study was made of 1 st cell cycle of small micromeres, segregated at the 5th cleavage cycle, in the sea urchin embryos of Hemicentrotus pulcherrimus. For identification of small micromeres, the embryos were pulse labeled with 5-bromodeoxyuridine (BrdU) at the 1 st cleavage. Using multiparametric microfluorometry equipped with a scanning stage (Tanaka, 1990), DNA content, extent of BrdU incorporation, protein content and the extent of 3H-thymidine labeling were measured on identical individual cells dissociated from an embryo. The findings of the present study are as follows. There is a short period of time between the telophase and onset of DNA replication. The period of DNA replication is 5 hr and after which, asynchronous mitosis takes place to produce 8 cells before hatching. The long S period is 83% the total 6 hr of the cell cycle. The rate of DNA accumulation is quite small during the initial one third of S but increases later in this phase. The degree of chromatin condensation remains high even during the S phase but it is low in large micromeres. The cell cycle may possibly be related causally to the development of small micromeres. The developmental significance of cell cycle duration, particularly that of DNA replication is discussed.

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“…Our current understanding of phenotypic changes during cell cycle progression is based on well-defined observations using classic flow cytometry, microscopy, and early forms of automated imaging, but few reports followed cellular subpopulations as they progressed through the cell cycle (3 -5). Instead, these reports observed mixed populations of cells or were unable to perform subpopulation analysis, thereby generating an incomplete view of cell cycle progression (4,5). Due to the nature of these previous investigations, which measured the average effects of a treatment on a population of cells, they were unable to resolve several factors including variability in the rate of cell cycle progression, response to treatment between cells, all-or-none effects, and events only occurring in rare subpopulations.…”

Section: Introductionmentioning

confidence: 99%

High-content imaging characterization of cell cycle therapeutics through in vitro and in vivo subpopulation analysis

Low

Huang²,

Blosser³

et al. 2008

Molecular Cancer Therapeutics

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Although the cycling of eukaryotic cells has long been a primary focus for cancer therapeutics, recent advances in imaging and data analysis allow even further definition of cellular events as they occur in individual cells and cellular subpopulations in response to treatment. High-content imaging (HCI) has been an effective tool to elucidate cellular responses to a variety of agents; however, these data were most frequently observed as averages of the entire captured population, unnecessarily decreasing the resolution of each assay. Here, we dissect the eukaryotic cell cycle into individual cellular subpopulations using HCI in conjunction with unsupervised K-means clustering. We generate distinct phenotypic fingerprints for each major cell cycle and mitotic compartment and use those fingerprints to screen a library of 310 commercially available chemotherapeutic agents. We determine that the cell cycle arrest phenotypes caused by these agents are similar to, although distinct from, those found in untreated cells and that these distinctions frequently suggest the mechanism of action. We then show via subpopulation analysis that these arrest phenotypes are similar in both mouse models and in culture. HCI analysis of cell cycle using data obtained from individual cells under a broad range of research conditions and grouped into cellular subpopulations represents a powerful method to discern both cellular events and treatment effects. In particular, this technique allows for a more accurate means of assessing compound selectivity and leads to more meaningful comparisons between so-called targeted therapeutics.

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Nuclear Morphometry During the Cell Cycle

Cited by 55 publications

References 17 publications

Cellular and nuclear volume of human cells during the cell cycle

Cellular and nuclear volume of human cells during the cell cycle

Study of the Lineage and Cell Cycle of Small Micromeres in Embryos of the Sea Urchin, Hemicentrotus pulcherrimus

High-content imaging characterization of cell cycle therapeutics through in vitro and in vivo subpopulation analysis

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