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The nuclear-targeting chemical probe, for the detection and quantification of DNA within cells, has been a mainstay of cytometry-from the colorimetric Feulgen stain to smart fluorescent agents with tuned functionality. The level of nuclear structure and function at which the probe aims to readout, or indeed at which a DNA-targeted drug acts, is shadowed by a wide range of detection modalities and analytical methods. These methods are invariably limited in terms of the resolution attainable versus the volume occupied by targeted chromatin structures. The scalar challenge arises from the need to understand the extent and different levels of compaction of genomic DNA and how such structures can be re-modeled, reported, or even perturbed by both probes and drugs. Nuclear cytometry can report on the complex levels of chromatin order, disorder, disassembly, and even active disruption by probes and drugs. Nuclear probes can report defining features of clinical and therapeutic interest as in NETosis and other cell death processes. New cytometric approaches continue to bridge the scalar challenges of analyzing chromatin organization. Advances in super-resolution microscopy address the resolution and depth of analysis issues in cellular systems. Typical of recent insights into chromatin organization enabled by exploiting a DNA interacting probe is ChromEM tomography (ChromEMT). ChromEMT uses the unique properties of the anthraquinone-based cytometric dye DRAQ5™ to reveal that local and global 3D chromatin structures effect differences in compaction. The focus of this review is nuclear and chromatin cytometry, with linked reference to DNA targeting probes and drugs as exemplified by the anthracenediones., (© 2018 International Society for Advancement of Cytometry.)

Discerning the extent of biologically relevant heterogeneity presents unique challenges to both microscopy and flow cytometry. Micro-environmental influences and stochastic changes in cellular behaviour can act to mask the origins of both progression and therapeutic resistance in tumour cell systems. In part the dimensionality of different and frequently metastable states can be assessed by multi-parameter flow cytometry with unparalleled statistical robustness. Complementary application of imaging can provide valuable insights into the complex temporal changes that can occur in cell micro-communities either spontaneously or in response to selection pressure. With an extensive range of methodologies for the labelling of cells there are multiple options for tracking cells, defining fate and the re-construction of provenance and behavioural history. The challenge is highlighted by attempts to identify the critical glycosylation events modifying the function of cell surface proteins. Central to a cytometric approach is the availability of methods that reveal cell health and are compatible with the detection of cell surface changes within dynamic micro-communities. The review briefly addresses the options for sensing cell health and the co-application of an antibody mimetic for detection of cell surface glycoconjugate expression accessible for both imaging and flow cytometry., (© 2013 The Authors Journal of Microscopy © 2013 Royal Microscopical Society.)

We outline a simple approach involving instrument setup and calibration for the analysis of Hoechst dye 33342-loading in human cell lines for exploring heterogeneity in dye efflux efficiency and the status of side population (SP) A549 lung cancer cells. Dual excitation 488 nm/multiline UV (351-364 nm) flow cytometry was used to confirm ABCG2-specific inhibition of dye efflux using Fumitremorgin C. Transporter gene expression, assayed by qRT-PCR, confirmed higher expression of ABCG2 versus ABCB1, reiterated in a cloned subline. Coexpression of aldehyde dehydrogenase genes ranked as aldehyde dehydrogenase class 1A1 (ALDH1A1) > ALDH3A1 > ALDH3, relative expression of all genes was again reiterated in a cloned subline. Permeabilized cells were used to create red:violet (660:405 nm Em wavelengths) ratiometric references for mapping temporal changes in Hoechst 33342-DNA fluorescence in live cells. A live cell "kinetic SP gate" tracked progressive dye loading of the whole population and coapplication of the far red (>695 nm wavelength) fluorescing dye DRAQ7 enabled viable cell gating. Kinetic gating revealed a continuum for dye accumulation suggesting that SP enumeration is critically dependent upon the nonlinear relationship of the spectral shift with progressive dye-DNA binding and thus requires accurate definition. To this end, permeabilized cell reference samples permit reproducible instrument setup, guide gate boundaries for SP and compromised cells, and offer a simple means of comparing SP enumeration across laboratory sites/platforms. Our approach reports the dynamic range for the spectral shift, revealing noninformative staining conditions and explaining a source of variability for SP enumeration. We suggest that live cell kinetic sorting of all cells with the same dye:DNA load but with differences in efflux capacity can be used to explore drug resistance capability without prejudice. The SP phenotype should be regarded as a kinetic parameter and not a fixed characteristic--critical for functional assay design and the interpretation of heterogeneity., (Copyright © 2012 International Society for Advancement of Cytometry.)

The cell cycle, with its highly conserved features, is a fundamental driver for the temporal control of cell proliferation-while abnormal control and modulation of the cell cycle are characteristic of tumor cells. The principal aim in cancer biology is to seek an understanding of the origin and nature of innate and acquired heterogeneity at the cellular level, driven principally by temporal and functional asynchrony. A major bottleneck when mathematically modeling these biological systems is the lack of interlinked structured experimental data. This often results in the in silico models failing to translate the specific hypothesis into parameterized terms that enable robust validation and hence would produce suitable prediction tools rather than just simulation tools. The focus has been on linking data originating from different cytometric platforms and cell-based event analysis to inform and constrain the input parameters of a compartmental cell cycle model, hence partly measuring and deconvolving cell cycle heterogeneity within a tumor population. Our work has addressed the concept that the interoperability of cytometric data, derived from different cytometry platforms, can complement as well as enhance cellular parameters space, thus providing a more broader and in-depth view of the cellular systems. The initial aim was to enable the cell cycle model to deliver an improved integrated simulation of the well-defined and constrained biological system. From a modeling perspective, such a cross platform approach has provided a paradigm shift from conventional cross-validation approaches, and from a bioinformatics perspective, novel computational methodology has been introduced for integrating and mapping continuous data with cross-sectional data. This establishes the foundation for developing predictive models and in silico tracking and prediction of tumor progression, (Copyright © 2011 International Society for Advancement of Cytometry.)

The monitoring of cells labeled with quantum dot endosome-targeted markers in a highly proliferative population provides a quantitative approach to determine the redistribution of quantum dot signal as cells divide over generations. We demonstrate that the use of time-series flow cytometry in conjunction with a stochastic numerical simulation to provide a means to describe the proliferative features and quantum dot inheritance over multiple generations of a human tumor population. However, the core challenge for long-term tracking where the original quantum dot fluorescence signal over time becomes redistributed across a greater cell number requires accountability of background fluorescence in the simulation. By including an autofluorescence component, we are able to continue even when this signal predominates (i.e., >80% of the total signal) and obtain valid readouts of the proliferative system. We determine the robustness of the technique by tracking a human osteosarcoma cell population over 8 days and discuss the accuracy and certainty of the model parameters obtained. This systems biology approach provides insight into both cell heterogeneity and division dynamics within the population and furthermore informs on the lineage history of its members., (Copyright © 2010 International Society for Advancement of Cytometry.)

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.

Drug resistant tumor "side-populations," enriched in cancer stem cells and identified by reduced accumulation of Hoechst 33342 under ABCG2-mediated efflux, may compromise therapeutic outcome. Side-population cells have predicted resistance to minor groove ligands, including the DNA topoisomerase I poison topotecan. We have used a stable Hoechst 33342-resistant murine L cell system (HoeR415) to study resistance patterns, removing the need for SP isolation before microarray analysis of gene expression and the tracking of cell cycle dynamics and cytotoxicity. The majority of HoeR415 cells displayed a side-population phenotype comparable with that of the side-population resident in the ABCG2 over-expressing A549 lung cancer cell line. Photo-crosslinking showed direct protection against minor groove ligand residence on DNA, driven by ABCG2-mediated efflux and not arising from any binding competition with endogenous polyamines. The covalent minor-groove binding properties of the drug FCE24517 (tallimustine) prevented resistance suggesting a mechanism for overcoming SP-related drug resistance. Hoechst 33342-resistant murine cells showed lower but significant crossresistance to topotecan, again attributable to enhanced ABCG2 expression, enabling cells to evade S-phase arrest. Hoechst 33342/TPT-resistant cells showed limited ancillary gene expression changes that could modify cellular capacity to cope with chronic stress including over-expression of Aldh1a1 and Mgst1, but under-expression of Plk2 and Nnt. There was no evidence to link the putative stem cell marker ALDH1A1 with any augmentation of the TPT resistance phenotype. The study has implications for the patterns of drug resistance arising during tumor repopulation and the basal resistance to minor groove-binding drugs of tumor side-populations., (Copyright 2009 International Society for Advancement of Cytometry.)

Polysialylation of neural cell adhesion molecule (NCAM) in small-cell lung cancer (SCLC) is thought to regulate NCAM-mediated cell-surface interactions, imparting antiadhesive properties to cells. However, SCLC cells in culture demonstrate anchorage-independent growth and spontaneously generate adherent forms. Here, the ability of polySia-NCAM to influence cell proliferation and adherence is unclear. We analyzed live SCLC cell polySia-NCAM expression by flow cytometry, using the novel combination of a polySia antibody-mimetic eGFP-tagged endosialidase and the viability dye DRAQ7. Enrichment for adherence (<30 population doublings) in SCLC cell lines resolved populations with increased (SHP-77 and COR-L279) or negligible (NCI-H69) polysialylation compared with nonadherent parent populations. Adherent forms retained NCAM expression as confirmed by immunofluorescence and immunoblotting. Initial transition to adherence and loss of polysialylation in NCI-H69 was linked to a reduced proliferation rate with no increase in cell death. This reduced proliferation rate was reiterated in vivo as determined by the growth of noninvasive subcutaneous xenografts in mice. Continued selection for enhanced substrate adherence in NCI-H69 (>150 population doublings) resolved cells with stable re-expression of polySia and increased growth rates both in vitro and in vivo. Endoneuraminidase removal of polySia from re-expressing cells showed that rapid adherence to extracellular matrix components was functionally independent of polySia. PolySia expression was not altered when isolated adherent forms underwent enforced cell-cell contact in three-dimensional culture. Coculture of polySia expression variants modulated overall polySia expression profiles indicating an influence of SCLC microcommunity composition independent of substrate adherence potential. We conclude that an obligatory linkage between substrate adherence potential and polySia expression is rejected for SCLC cells. We suggest that a degree of homeostasis operates to regulate polysialylation within heterogeneous cell populations. The findings suggest a new model for SCLC progression while the application of live cell profiling of polysialylation could be used to assess polySia-NCAM-targeted therapies. © 2013 International Society for Advancement of Cytometry [ABSTRACT FROM AUTHOR]

Metallothioneins (MTs) have an important role in zinc homeostasis and may counteract the impact of oversupply. Both intracellular zinc and MT expression have been implicated in proliferation control and resistance to cellular stress, although the interdependency is unclear. The study addresses the consequences of a steady-state overexpression of MT-1 for intracellular zinc levels, cell cycle progression, and protection from zinc toxicity using a panel of cell lines with differential expression of MT-1. The panel comprised parental Chinese hamster ovary-K I cells with low endogenous expression of MT and transfectants with enhanced expression of mouse MT-1 on an autonomously replicating expression vector with a noninducible promoter. Cell cycle progression, determined by flow cytometry and time-lapse microscopy, revealed that enhanced cytoplasmic expression of MT-1 does not impact on normal cell cycle operation, suggesting that basal levels of MT-1 expression are not limiting for background levels of oxidative stress. MT-1 overexpression correlated with a steady-state increase in cytoplasmic free Zn[sup2+], assessed using the fluorescent zinc-sensor Zinquin, particularly at high levels of overexpression, further suggesting that zinc availability is normally not limiting for cell cycle progression. Enhanced MT-1 expression, over a 10-fold range, had a clear impact on resistance to Cd[sup2+] and Zn[sup2+] toxicity. In the case of Zn[sup2+] the degree of protection afforded was less, indicating that MT-1 has a limited range and saturable capacity for effecting resistance. The results have implications for the use of cellular stress responses to exogenously supplied zinc and zinc-based systemic therapies. [ABSTRACT FROM AUTHOR]