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In this article, we report the number of cyclin B1 proteins tagged with enhanced green fluorescent protein (eGFP) in fixed U-2 OS cells across the cell cycle. We use a quantitative analysis of epifluorescence to determine the number of eGFP molecules in a nondestructive way, and integrated over the cell we find 104 to 105 molecules. Based on the measured number of eGFP tagged cyclin B1 proteins, knowledge of cyclin B1 dynamics through the cell cycle, and the cell morphology, we identify the stages of cells in the cell cycle. © 2020 The Authors. Cytometry Part A published by Wiley Periodicals LLC. on behalf of International Society for Advancement of Cytometry.

Single cell encoding with quantum dots as live cell optical tracers for deriving proliferation parameters has been developed using modelling to investigate cell cycle and proliferative outputs of human osteosarcoma cells undergoing mitotic bypass and endocycle routing. A computer-based simulation of the evolving cell population provides information on the dilution and segregation of nanoparticle dose cell by cell division and allows quantitative assessment of patterns of division, at both single cell and including whole population level cell cycle routing, with no a-priori knowledge of the population proliferation potential. The output therefore provides a unique mitotic distribution function that represents a convolution of cell cycle kinetics (cell division) and the partitioning coefficient for the labelled cell compartment (daughter-daughter inheritance or lineage asymmetry). The current study has shown that the cellular quantum dot fluorescence reduced over time as the particles were diluted by the process of cell division and had the properties of a non-random highly asymmetric event. Asymmetric nanoparticle segregation in the endosomal compartment has major implications on cell-fate determining signaling pathways and could lead to an understanding of the origins of unique proliferation and drug-resistance characteristics within a tumour cell lineage.

The maintenance of genomic stability in mitotic and meiotic cycles through mismatch repair (MMR) demands the coordination of MMR functions with multiple processes including cell cycle traverse, linked changes in microtubule dynamics, protein translocation at chromatin sites and checkpoint activation. We have studied changes in the intracellular location of the MMR protein Msh2 in response to mitosis, microtubule disruption by colcemid and DNA damage induction by cis-platin in mouse embryonic fibroblasts (MEFs). Image analysis indicated that MEFs have a normally high nuclear retention of Msh2 during interphase with a precipitous dispersal of protein from chromatin sites into the cytoplasm at mitosis. Dispersal was also observed in cisplatin- and colcemid-treated interphase MEFs without any change in the overall Msh2 levels throughout the cell cycle. There was no evidence of co-localization of the punctate cytoplasmic Msh2 foci with any microtubule structures and knockout of Msh2 altered neither the extent of microtubule disruption nor the functional activation of the spindle assembly checkpoint by colcemid. Critically, extra-nuclear relocation of protein did not alter the ability to mount an Msh2-dependent G2 checkpoint delay in response to cisplatin-induced DNA damage. Depletion of the nuclear pool of Msh2 protein in cells undergoing dispersal was found to involve a rapid relocation of protein from AT-rich chromatin sites as defined by coassociation studies exploiting a newly-characterized base-pair preference of the fluorescent DNA binding probe DRAQ5. The study reveals the unexpected mobility of MMR protein pools during the MEF cell cycle and in response to different stress-inducing agents. The results link for the first time microtubule-integrity with intra-nuclear Msh2 protein dynamics. The high nuclear retention of Msh2 in interphase MEFs is in contrast to human tumor cells while the observations on protein dispersal suggest that only low levels of nuclear-located Msh2 are needed for G2 checkpoint activation by DNA damage.

Dysfunction of cell-cycle checkpoints in DNA mismatch repair (MMR)-deficient cells in response to DNA damage has implications for anticancer therapy and genetic instability. We have studied the cell-cycle effects of MMR deficiency (Msh2(-/-)) in primary mouse embryonic fibroblasts (MEFs) exposed to cisplatin (10 microM x 1 h) using time-lapse microscopy. Kinetic responses of MEFs from different embryos and passage ages varied, but we report a consistent drug-induced inhibition of mitotic entry (approx. 50%). There was a loss of an early-acting (5 h) delay in G2 to M transition in Msh2(-/-) cells, although a later-acting G2 arrest was apparently normal. This suggests that Msh2 primarily acts to delay mitotic entry of cells already in G2, that is, DNA damage incurred during G2 does not influence the cell once committed to mitotic traverse. Irrespective of Msh2 status, cisplatin treatment and the incurred DNA damage did not effect mitotic traverse or show any evidence for early (within 24 h) cell death. The results indicate that Msh2(-/-) status can result in the premature commitment to mitosis of a cell subpopulation, determined by the fraction residing in G2 at the time of damage induction. The findings suggest a new route to MMR-driven genetic instability that does not rely primarily on the integrity of the late-acting checkpoint.

The anticancer agent topotecan is considered to be S-phase specific. This implies that cancer cells that are not actively replicating DNA could resist the effects of the drug. The cycle specificity of topotecan action was investigated in MCF-7 cells, using time-lapse microscopy to link the initial cell cycle position during acute exposures to topotecan with the antiproliferative consequences for individual cells. The bioactive dose range (0.5-10 microM) for 1-h topotecan exposures was defined by rapid drug delivery and topoisomerase I trapping. Topotecan caused pan-cycle induction and activation of p53. Lineage analysis of the time-lapse sequences identified cells initially in S-phase and G2, and defined the time to mitosis for cells originating from G2, S-phase and G1. Topotecan prevented all mitoses from S-phase cells and G1 cells (half-maximal effects at 0.14 microM and 0.96 microM, respectively). No dose of topotecan completely prevented mitosis among G2 cells, and at saturating doses of topotecan about half the cells of G2 origin continued dividing (the half-maximal effects was at 0.31 microM). Overall, topotecan differentially targeted G1-, S- and G2-phase cells, but many G2 cells were resistant to topotecan, presenting a clear route for cell cycle-mediated drug resistance.

Time-lapse microscopy can be described as the repeated collection of an image (in n-dimensions; x, y, z, λ) or field of view from a microscope at discrete time intervals. The duration of the time interval defines the temporal resolution, which in turn characterizes the type of event detected. This unit describes the implementation of time-lapse microscopy to link initial cell cycle position during acute exposures to anti-cancer agents with anti-proliferative consequences for individual cells. The approach incorporates fundamental concepts arising from the ability to capture simple video sequences of cells from which it is possible to extract kinetic descriptors that reflect the interplay of mitosis and cell death in the growth of an unsynchronized tumor population. Utilizing a multi-well format enables the user to screen different drug derivatives, multiple dose ranges, or cell cultures with unique genetic backgrounds. The objective of this unit is to present the basic methodology for capturing time-lapse sequences and touch upon subsequent mining of the data for deriving event curves and possible cell lineage maps.

We present a new approach to the handling and interrogating of large flow cytometry data where cell status and function can be described, at the population level, by global descriptors such as distribution mean or co-efficient of variation experimental data. Here we link the “real” data to initialise a computer simulation of the cell cycle that mimics the evolution of individual cells within a larger population and simulates the associated changes in fluorescence intensity of functional reporters. The model is based on stochastic formulations of cell cycle progression and cell division and uses evolutionary algorithms, allied to further experimental data sets, to optimise the system variables. At the population level, the in-silico cells provide the same statistical distributions of fluorescence as their real counterparts; in addition the model maintains information at the single cell level. The cell model is demonstrated in the analysis of cell cycle perturbation in human osteosarcoma tumour cells, using the topoisomerase II inhibitor, ICRF-193. The simulation gives a continuous temporal description of the pharmacodynamics between discrete experimental analysis points with a 24 hour interval; providing quantitative assessment of inter-mitotic time variation, drug interaction time constants and sub-population fractions within normal and polyploid cell cycles. Repeated simulations indicate a model accuracy of ±5%. The development of a simulated cell model, initialized and calibrated by reference to experimental data, provides an analysis tool in which biological knowledge can be obtained directly via interrogation of the in-silico cell population. It is envisaged that this approach to the study of cell biology by simulating a virtual cell population pertinent to the data available can be applied to “generic” cell-based outputs including experimental data from imaging platforms., Author Summary One of the key challenges facing cell biologists today is understanding the influence of molecular controls in shaping and controlling cell growth and proliferation. There is growing recognition that abnormal progression through the cell cycle and the associated effects on the growth of cell populations has a major impact on a wide range of biological and clinical problems, including: tumour growth, developmental control, origins of chromosomal instability and drug resistance. Multiparameter flow cytometry is frequently used to assess proliferation dynamics of cellular populations using fluorescent reporters generating large data sets that can inform simulation models. We have developed stochastic computing approaches allied to evolutionary algorithms to produce simulated cell populations—providing a new approach to the analysis of real multi-variate data sets obtained by flow cytometry. The methodology delivers new insight on biological processes in delivering a continuous simulation of the dynamic evolution of a cellular system between fixed sampling points, hence, converting static data into dynamic data revealing the effective traverse of the cell cycle, restriction points and commitment gateways. The approach also permits the visualisation of the variation between individual cells reflecting biological heterogeneity and potentially Darwinian fitness, given that the simulation delivers a report on population dynamics in which each and every cell can be tracked.

Cells cycle checkpoints guard against the inapproriate commitment to critical cell events such as mitosis. The bisdioxxopiperazzine ICRF-193, a catalytic inhibitor of DNA topoisomerase II causes a reversible stalling of the exit of cells from G(2) at the decatenation checkpoint (DC) and can generate tetraploidy via the compromising of chromosome segregation and mitotic failure. We have addressed an alternative origin-endocycle entry-for the tetraploidisation step in ICRF-193 exposed cells. Here we show that DC-proficient p53-functional tumor cells can undergo a transition to tetraploidy and subbsequent aneuploidy via an initial bypass of mitosis and the mitotic spindle checkpoint. DC-deficient SV4-tranformed cells move exclusively through mitosis to tetraploidy. In p53-functional tumor cells, escape through mitosis is enhanced by dominant negative p53 co-expression. The mitotic bypass transition phase (termed G(2)(endo)) disconnects cyclin B1 degradation from nuclear envelope breakdown and allows cells to evade the action of Taxol. G(2)(endo) constitutes a novel and alternative cell cycle phase-lasting some 8 h-with distinct molecular motifs at its boundaries for G(2) exit and subsequent entry into a delayed G(1) tetraploid state. The result challenge the paradigm that checkpoint breaching leads directly to abnormal ploidy states via mitosis alone. We further propose that the induction of bypass could: facilitate the covert development of tetraploidy in p53 functional cancers, lead to a misinterpretation of phase allocation during cell cycle arrest and contribbute to tumor cell drug resistance.

Background: We report on the potential DNA binding modes and spectral characteristics of the cell-permeant far red fluorescent DNA dye, DRAQ5, in solution and bound within intact cells. Our aim was to determine the constraints for its use in flow cytometry and bioimaging. Methods: Solution characteristics and quantum yields were determined by spectroscopy. DRAQ5 binding to nuclear DNA was analyzed using fluorescence quenching of Hoechst 33342 dye, emission profiling by flow cytometry, and spectral confocal laser scanning microscopy of the complex DRAQ5 emission spectrum. Cell cycle profiling utilized an EGFP–cyclin B1 reporter as an independent marker of cell age. Molecular modeling was used to explore the modes of DNA binding. Results: DRAQ5 showed a low quantum yield in solution and a spectral shift upon DNA binding, but no significant fluorescence enhancement. DRAQ5 caused a reduction in the fluorescence intensity of Hoechst 33342 in live cells prelabeled with the UV excitable dye, consistent with molecular modeling that suggests AT preference and an engagement of the minor groove. In vivo spectral analysis of DRAQ5 demonstrated shifts to longer wavelengths upon binding with DNA. Analysis of spectral windows of the dual emission peaks at 681 and 707 nm in cells showed that cell cycle compartment recognition was independent of the far red–near IR emission wavelengths monitored. Conclusions: The study provides new clues to modes of DNA binding of the modified anthraquinone molecule in vivo, and its AT base-pair selectivity. The combination of low quantum yield but high DNA affinity explains the favorable signal-to-noise profile of DRAQ5-nuclear fluorescence. The robust nature of cell cycle reporting using DRAQ5, even when restricted spectral windows are selected, facilitates the analysis of encroaching spectral emissions from other fluorescent reporters, including GFP-tagged proteins. © 2006 International Society for Analytical Cytology

Time-lapse microscopy can be described as the repeated collection of a field of view from a microscope at discrete time intervals. The duration of the time interval defines the temporal resolution, which in turn characterizes the type of event detected. This unit describes the implementation of time-lapse microscopy to link initial cell cycle position during acute exposures to anti-cancer agents with anti-proliferative consequences for individual cells. The approach incorporates fundamental concepts arising from the ability to capture simple video sequences of cells from which it is possible to extract kinetic descriptors that reflect the interplay of mitosis and cell death in the growth of an unsynchronized tumor population. Utilizing a multi-well format enables the user to test different drug derivatives, multiple dose ranges, or cell cultures with unique genetic backgrounds. The objective of this unit is to present a generic methodology for capturing time-lapse sequences and subsequently mining the data for comprehensive event analysis. Keywords: video microscopy; time-lapse; data mining; cell cycle dynamics